The data was analyzed on 2024-01-20.
Please visit https://forum.sickandabandoned.com/t/has-anybody-tried-heres-how-you-can-get-answers-to-that-question-fast/228
It is highly recommended that you start there.
The rankings section should give a rough idea as to which treatments stand out as being promising treatments.
The section ranks all of the treatments (while ignoring those with very few data points). Then, specific types of treatments such as diet will be ranked against each another (while including treatments with very few data points). That analysis should help you understand:
The charts section provides breakdowns for individual treatments. If a treatment has very few data points, it may be grouped together with other similar treatments.
The Symptoms versus treatment responses section analyzes whether self-reported symptoms correlate with treatment response.
The Severity analysis section looks at whether or not treatment responses are different based on peak severity (during the worst month of illness), current severity (past 30 days), and recovery (current versus peak severity).
If you're interested in a particular treatment, search this webpage for the name of that treatment. On desktops, use Crtl+F to bring up your browser's search function.
Treatment names are usually chosen to be short and memorable:
Remember to search for brand names and short versions of a treatment's name. Usually there is a section where multiple names for a single treatment are listed- searching for any of the names will help you find the shortened memorable names.
All treatments are judged based on its average score. If all surveyees were to report mild improvement, then the average score would be 1.
For risk scoring, only the negative scores are considered. The maximum possible range is from 0 to -3.
NOTE: This way of surveying patients likely measures patient satisfaction more than medical outcomes. It also measures aspects unrelated to medical outcomes (or patient satisfaction) such as how surveyees interpret survey questions, unfilled survey questions (even though the surveyee tried that treatment), etc.
Ranking of treatments surveyed.
While the chart above is limited to the most popular treatments, the tables below have data on all 235 treatments. Some of them are grouped together.
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [Avacen] | 3.00 | 0.00 | 1 |
2 | [Rupatadine] | 3.00 | 0.00 | 1 |
3 | [Inuspheresis] | 2.00 | 0.00 | 2 |
4 | [Wet cupping] | 1.67 | 0.00 | 3 |
5 | [Other diet] | 1.54 | 0.00 | 56 |
6 | [Urotherapy] | 1.50 | 0.00 | 4 |
7 | [PLEX] | 1.50 | 0.00 | 2 |
8 | [Stem cells] | 1.43 | 0.00 | 7 |
9 | [Other brain retraining] | 1.38 | 0.00 | 60 |
10 | [Ayurveda] | 1.38 | -0.08 | 13 |
11 | [Photobiomodulation] | 1.36 | -0.09 | 11 |
12 | [Doxylamine] | 1.33 | 0.00 | 6 |
13 | [ASEA Redox] | 1.33 | -0.33 | 9 |
14 | [Cardio Miracle] | 1.33 | 0.00 | 6 |
15 | [Paleo diet] | 1.33 | 0.00 | 21 |
16 | [Pacing strategies] | 1.28 | -0.06 | 260 |
17 | [Prayer] | 1.25 | -0.01 | 170 |
18 | [Low histamine diet] | 1.25 | 0.00 | 218 |
19 | [Other chelation] | 1.20 | 0.00 | 15 |
20 | [Alinia] | 1.20 | 0.00 | 5 |
21 | [Chlorine dioxide] | 1.18 | 0.00 | 17 |
22 | [Glutenfree diet] | 1.16 | -0.00 | 206 |
23 | [Maraviroc] | 1.15 | 0.00 | 13 |
24 | [Wahls protocol] | 1.15 | -0.23 | 13 |
25 | [Benzodiazepines] | 1.13 | -0.12 | 154 |
26 | [IVIG, SCIG] | 1.12 | 0.00 | 16 |
27 | [AIP diet] | 1.08 | -0.11 | 38 |
28 | [HBOT <=1.5 ATA, HBOT >1.5 ATA] | 1.06 | -0.16 | 68 |
29 | [Anti inflammatory diet] | 1.06 | -0.04 | 95 |
30 | [Other antihistamines] | 1.06 | 0.00 | 34 |
31 | [Water and salt] | 1.02 | -0.02 | 294 |
32 | [HCG] | 1.00 | 0.00 | 1 |
33 | [Seldane] | 1.00 | 0.00 | 1 |
34 | [Quifenadine] | 1.00 | 0.00 | 1 |
35 | [Mizolastine] | 1.00 | 0.00 | 1 |
36 | [Monoclonals] | 1.00 | 0.00 | 14 |
37 | [EBOO] | 1.00 | 0.00 | 7 |
38 | [Rapamycin] | 1.00 | 0.00 | 4 |
39 | [Avoiding exercise] | 0.99 | -0.13 | 333 |
40 | [Opiates] | 0.97 | -0.26 | 62 |
41 | [Meditation] | 0.96 | -0.03 | 273 |
42 | [Ivermectin] | 0.95 | -0.15 | 140 |
43 | [Diazepam] | 0.93 | -0.26 | 68 |
44 | [Drinking water] | 0.92 | 0.00 | 165 |
45 | [LDN] | 0.90 | -0.26 | 156 |
46 | [Root wellness] | 0.90 | -0.10 | 10 |
47 | [Clarinex] | 0.90 | -0.19 | 21 |
48 | [HELP apheresis] | 0.88 | -0.50 | 8 |
49 | [Magnesium] | 0.86 | -0.06 | 400 |
50 | [Keto diet] | 0.86 | -0.23 | 69 |
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
51 | [Colchicine] | 0.85 | -0.21 | 34 |
52 | [VNS] | 0.85 | -0.09 | 118 |
53 | [Other muscle relaxers] | 0.85 | -0.21 | 71 |
54 | [Multiday wet fasting] | 0.85 | -0.24 | 46 |
55 | [Time] | 0.84 | -0.33 | 508 |
56 | [Guanfacine] | 0.83 | -0.33 | 24 |
57 | [IV vitamins] | 0.82 | -0.06 | 65 |
58 | [Serrapeptase] | 0.82 | -0.05 | 123 |
59 | [Activated charcoal] | 0.82 | -0.05 | 39 |
60 | [Other TCM] | 0.80 | -0.20 | 45 |
61 | [Osteopathy] | 0.80 | -0.33 | 46 |
62 | [TWC detox] | 0.80 | 0.00 | 10 |
63 | [Intermittent fasting] | 0.78 | -0.07 | 236 |
64 | [Carnivore diet] | 0.76 | -0.14 | 37 |
65 | [Methylene blue] | 0.76 | -0.06 | 33 |
66 | [Kangen water] | 0.75 | 0.00 | 4 |
67 | [EMDR] | 0.75 | -0.15 | 60 |
68 | [Hydroxyzine] | 0.74 | -0.20 | 50 |
69 | [Dry cupping] | 0.73 | -0.07 | 56 |
70 | [Plant based diet, Vegan diet] | 0.73 | -0.14 | 143 |
71 | [St. John's Wort] | 0.71 | -0.17 | 24 |
72 | [IV vitamin C] | 0.70 | -0.07 | 44 |
73 | [Lumbrokinase] | 0.70 | -0.04 | 57 |
74 | [Psychedelic mushrooms] | 0.69 | -0.20 | 51 |
75 | [Oil of oregano] | 0.69 | -0.06 | 62 |
76 | [NIBS] | 0.69 | -0.12 | 16 |
77 | [Beta blockers] | 0.68 | -0.36 | 149 |
78 | [Compression garments] | 0.67 | -0.09 | 177 |
79 | [Nattokinase] | 0.67 | -0.11 | 243 |
80 | [Ambien] | 0.67 | -0.33 | 33 |
81 | [Wim Hof with cold] | 0.66 | -0.18 | 61 |
82 | [Probiotics prebiotics] | 0.66 | -0.10 | 293 |
83 | [Plaquenil] | 0.66 | -0.32 | 44 |
84 | [Acupuncture] | 0.65 | -0.19 | 182 |
85 | [Cromolyn] | 0.65 | -0.30 | 23 |
86 | [IV ozone] | 0.64 | -0.16 | 25 |
87 | [Zeolite] | 0.64 | -0.05 | 44 |
88 | [DNRS] | 0.64 | -0.21 | 14 |
89 | [EDTA] | 0.62 | -0.12 | 8 |
90 | [Red light therapy] | 0.62 | -0.13 | 91 |
91 | [Cat's claw] | 0.62 | -0.12 | 24 |
92 | [Quantum healing] | 0.62 | -0.19 | 16 |
93 | [Nigella sativa oil] | 0.62 | -0.04 | 72 |
94 | [Zyrtec] | 0.61 | -0.13 | 202 |
95 | [Mestinon] | 0.61 | -0.39 | 23 |
96 | [Molnupiravir] | 0.60 | 0.00 | 5 |
97 | [Statins, Red yeast rice] | 0.59 | -0.18 | 71 |
98 | [Xyzal] | 0.59 | -0.41 | 34 |
99 | [Glutathione] | 0.59 | -0.08 | 162 |
100 | [Resveratrol] | 0.56 | -0.03 | 137 |
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
101 | [NAC] | 0.56 | -0.13 | 267 |
102 | [B vitamins] | 0.56 | -0.12 | 388 |
103 | [Multiday juice fasting] | 0.56 | -0.28 | 25 |
104 | [Aciclovir, Famciclovir, Valtrex, Valcyte] | 0.55 | -0.08 | 87 |
105 | [Vitamin D] | 0.54 | -0.05 | 429 |
106 | [CBT] | 0.54 | -0.10 | 156 |
107 | [Sleeping with head of bed elevated] | 0.53 | -0.12 | 148 |
108 | [Amphotericin, Canesten, Econazole, Fluconazol... | 0.53 | -0.25 | 108 |
109 | [24-48 hour fasting] | 0.53 | -0.40 | 101 |
110 | [Curcumin] | 0.52 | -0.08 | 310 |
111 | [CBD with THC] | 0.52 | -0.35 | 168 |
112 | [TRT] | 0.52 | -0.19 | 21 |
113 | [CoQ10] | 0.52 | -0.04 | 237 |
114 | [Quercetin] | 0.52 | -0.04 | 266 |
115 | [Patches] | 0.51 | -0.32 | 59 |
116 | [Homeopathy] | 0.51 | -0.23 | 77 |
117 | [Claritin] | 0.51 | -0.11 | 169 |
118 | [OMAD] | 0.51 | -0.22 | 135 |
119 | [Chiropractic] | 0.51 | -0.27 | 100 |
120 | [Nigella sativa capsules] | 0.51 | 0.00 | 67 |
121 | [Gupta program] | 0.50 | 0.00 | 14 |
122 | [CBD without THC] | 0.50 | -0.08 | 155 |
123 | [Zinc] | 0.50 | -0.06 | 297 |
124 | [Melatonin] | 0.50 | -0.18 | 262 |
125 | [Ebastine] | 0.50 | 0.00 | 2 |
126 | [Favipiravir] | 0.50 | 0.00 | 2 |
127 | [Heparin, Eliquis, Clopidogrel, Xarelto, Sulod... | 0.50 | -0.28 | 78 |
128 | [Immunoadsorption] | 0.50 | 0.00 | 2 |
129 | [Bentonite clay] | 0.49 | -0.06 | 35 |
130 | [Fish oil etc.] | 0.49 | -0.02 | 292 |
131 | [Ketotifen] | 0.48 | -0.45 | 29 |
132 | [ALA] | 0.48 | -0.05 | 132 |
133 | [Lion's mane] | 0.47 | -0.15 | 113 |
134 | [SGB] | 0.47 | 0.00 | 15 |
135 | [Vitamin C] | 0.47 | -0.04 | 351 |
136 | [K vitamins] | 0.46 | -0.09 | 160 |
137 | [Pepcid] | 0.46 | -0.23 | 173 |
138 | [Tollovid] | 0.45 | -0.18 | 11 |
139 | [Corticosteroids] | 0.45 | -0.50 | 164 |
140 | [Lavender] | 0.45 | -0.07 | 55 |
141 | [Dandelion] | 0.42 | -0.05 | 100 |
142 | [Other NSAID] | 0.42 | -0.21 | 182 |
143 | [NADH] | 0.41 | -0.13 | 93 |
144 | [Multiday dry fasting] | 0.40 | -0.73 | 15 |
145 | [Aspirin] | 0.40 | -0.11 | 249 |
146 | [DAO] | 0.36 | -0.19 | 59 |
147 | [Other pain relievers] | 0.36 | -0.33 | 61 |
148 | [Ashwagandha] | 0.35 | -0.19 | 150 |
149 | [Monolaurin] | 0.34 | -0.07 | 41 |
150 | [Multivitamin] | 0.34 | -0.07 | 247 |
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
151 | [Infrared sauna] | 0.34 | -0.45 | 67 |
152 | [Allegra] | 0.34 | -0.12 | 85 |
153 | [Advil] | 0.34 | -0.16 | 279 |
154 | [Wim Hof without cold] | 0.33 | -0.31 | 36 |
155 | [Vedicinals9] | 0.30 | -0.60 | 10 |
156 | [Benadryl] | 0.29 | -0.27 | 120 |
157 | [Tylenol] | 0.28 | -0.08 | 240 |
158 | [Augmented NAC] | 0.25 | -0.21 | 85 |
159 | [Acrivastine] | 0.25 | -0.29 | 51 |
160 | [Lightning process] | 0.25 | -0.75 | 4 |
161 | [Traditional sauna] | 0.24 | -0.39 | 41 |
162 | [Pine needle tea] | 0.24 | -0.12 | 66 |
163 | [Paxlovid] | 0.21 | -0.42 | 38 |
164 | [Other nicotine] | 0.21 | -0.27 | 33 |
165 | [Rife] | 0.20 | -0.53 | 15 |
166 | [Tetracyclines, Fluoroquinolones, Penicillins,... | 0.20 | -0.56 | 232 |
167 | [Abilify] | 0.15 | -0.30 | 20 |
168 | [Montekulast] | 0.14 | -0.32 | 50 |
169 | [Spermidine] | 0.14 | -0.09 | 35 |
170 | [Antiseizure] | 0.12 | -0.45 | 51 |
171 | [Nigella sativa seed] | 0.09 | -0.09 | 11 |
172 | [Gabapentin] | 0.06 | -0.55 | 113 |
173 | [Vaping] | 0.00 | -0.30 | 37 |
174 | [DTPA] | 0.00 | 0.00 | 2 |
175 | [Astemizole] | 0.00 | 0.00 | 1 |
176 | [Methotextrate, Biologic, DMARD] | -0.03 | -0.64 | 33 |
177 | [Metformin] | -0.09 | -0.41 | 32 |
178 | [Celexa, Lexapro, Fluvoxamine, Prozac, Paxil, ... | -0.16 | -0.63 | 206 |
179 | [Elavil, Doxepin, Pamelor, Clomipramine, Clomi... | -0.17 | -0.62 | 94 |
180 | [Cigarettes] | -0.18 | -0.28 | 40 |
181 | [Remeron, Seroquel, Wellbutrin] | -0.34 | -0.75 | 134 |
182 | [Biocidin] | -0.38 | -0.50 | 8 |
183 | [Light exercise] | -0.42 | -0.94 | 363 |
184 | [Cymbalta, Effexor] | -0.44 | -0.99 | 78 |
185 | [Frequency wand] | -0.62 | -1.25 | 8 |
186 | [Bilastine] | -0.67 | -1.00 | 3 |
187 | [Graded exercise therapy] | -0.76 | -1.22 | 129 |
188 | [Semprex D] | -1.50 | -1.50 | 2 |
189 | [Intense exercise] | -1.78 | -2.08 | 267 |
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [Pacing strategies] | 1.28 | -0.06 | 260 |
2 | [Avoiding exercise] | 0.99 | -0.13 | 333 |
3 | [Light exercise] | -0.42 | -0.94 | 363 |
4 | [Graded exercise therapy] | -0.76 | -1.22 | 129 |
5 | [Intense exercise] | -1.78 | -2.08 | 267 |
Please note that the sample sizes for certain treatments are very small. As well, the data may be highly biased and may not be representative of how other people might respond to blood thinning drugs.
Tylenol (acetaminophen) is not considered to be a blood-thinning drug. It is included because it is a common alternative to other drugs on this list (Advil, Aspirin, etc.).
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [HELP apheresis] | 0.88 | -0.50 | 8 |
2 | [Clopidogrel] | 0.85 | -0.19 | 26 |
3 | [Serrapeptase] | 0.82 | -0.05 | 123 |
4 | [Lumbrokinase] | 0.70 | -0.04 | 57 |
5 | [Xarelto] | 0.67 | -0.44 | 9 |
6 | [Nattokinase] | 0.67 | -0.11 | 243 |
7 | [Heparin] | 0.47 | -0.32 | 19 |
8 | [Other NSAID] | 0.42 | -0.21 | 182 |
9 | [Aspirin] | 0.40 | -0.11 | 249 |
10 | [Advil] | 0.34 | -0.16 | 279 |
11 | [Tylenol] | 0.28 | -0.08 | 240 |
12 | [Eliquis] | 0.10 | -0.33 | 21 |
13 | [Sulodexide] | 0.00 | 0.00 | 3 |
Pacing strategies and HBOT (high ATA) are included as reference points.
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [PLEX] | 1.50 | 0.00 | 2 |
2 | [HBOT >1.5 ATA] | 1.48 | -0.12 | 33 |
3 | [Pacing strategies] | 1.28 | -0.06 | 260 |
4 | [Low histamine diet] | 1.25 | 0.00 | 218 |
5 | [Maraviroc] | 1.15 | 0.00 | 13 |
6 | [Benzodiazepines] | 1.13 | -0.12 | 154 |
7 | [IVIG] | 1.00 | 0.00 | 14 |
8 | [HELP apheresis] | 0.88 | -0.50 | 8 |
9 | [Multiday wet fasting] | 0.85 | -0.24 | 46 |
10 | [Clopidogrel] | 0.85 | -0.19 | 26 |
11 | [Serrapeptase] | 0.82 | -0.05 | 123 |
12 | [Intermittent fasting] | 0.78 | -0.07 | 236 |
13 | [Lumbrokinase] | 0.70 | -0.04 | 57 |
14 | [Xarelto] | 0.67 | -0.44 | 9 |
15 | [Nattokinase] | 0.67 | -0.11 | 243 |
16 | [HBOT <=1.5 ATA] | 0.66 | -0.20 | 35 |
17 | [Zyrtec] | 0.61 | -0.13 | 202 |
18 | [Statins, Red yeast rice] | 0.59 | -0.18 | 71 |
19 | [24-48 hour fasting] | 0.53 | -0.40 | 101 |
20 | [Quercetin] | 0.52 | -0.04 | 266 |
21 | [OMAD] | 0.51 | -0.22 | 135 |
22 | [Heparin] | 0.47 | -0.32 | 19 |
23 | [Pepcid] | 0.46 | -0.23 | 173 |
24 | [Corticosteroids] | 0.45 | -0.50 | 164 |
25 | [Other NSAID] | 0.42 | -0.21 | 182 |
26 | [Multiday dry fasting] | 0.40 | -0.73 | 15 |
27 | [Aspirin] | 0.40 | -0.11 | 249 |
28 | [Advil] | 0.34 | -0.16 | 279 |
29 | [Eliquis] | 0.10 | -0.33 | 21 |
30 | [Sulodexide] | 0.00 | 0.00 | 3 |
Excludes anti-depressants, anti-microbials, etc.
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [Maraviroc] | 1.15 | 0.00 | 13 |
2 | [Opiates] | 0.97 | -0.26 | 62 |
3 | [Diazepam] | 0.93 | -0.26 | 68 |
4 | [Colchicine] | 0.85 | -0.21 | 34 |
5 | [Other muscle relaxers] | 0.85 | -0.21 | 71 |
6 | [Beta blockers] | 0.68 | -0.36 | 149 |
7 | [Statins, Red yeast rice] | 0.59 | -0.18 | 71 |
8 | [Other pain relievers] | 0.36 | -0.33 | 61 |
9 | [Abilify] | 0.15 | -0.30 | 20 |
10 | [Antiseizure] | 0.12 | -0.45 | 51 |
11 | [Gabapentin] | 0.06 | -0.55 | 113 |
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [Celexa, Lexapro, Fluvoxamine, Prozac, Paxil, ... | -0.16 | -0.63 | 206 |
2 | [Elavil, Doxepin, Pamelor, Clomipramine] | -0.16 | -0.63 | 91 |
3 | [Remeron, Seroquel, Wellbutrin] | -0.34 | -0.75 | 134 |
4 | [Cymbalta, Effexor] | -0.44 | -0.99 | 78 |
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [Diazepam] | 0.93 | -0.26 | 68 |
2 | [Guanfacine] | 0.83 | -0.33 | 24 |
3 | [Lexapro] | 0.26 | -0.37 | 62 |
4 | [Doxepin] | 0.19 | -0.28 | 32 |
5 | [Abilify] | 0.15 | -0.30 | 20 |
6 | [Prozac] | 0.12 | -0.49 | 41 |
7 | [Antiseizure] | 0.12 | -0.45 | 51 |
8 | [Gabapentin] | 0.06 | -0.55 | 113 |
9 | [Wellbutrin] | -0.05 | -0.49 | 55 |
10 | [Cymbalta] | -0.25 | -0.90 | 40 |
11 | [Pamelor] | -0.26 | -0.79 | 19 |
12 | [Clomipramine] | -0.33 | -0.33 | 3 |
13 | [Zoloft] | -0.38 | -0.83 | 42 |
14 | [Elavil] | -0.41 | -0.86 | 37 |
15 | [Fluvoxamine] | -0.42 | -0.77 | 26 |
16 | [Seroquel] | -0.52 | -0.86 | 44 |
17 | [Remeron] | -0.57 | -1.00 | 35 |
18 | [Vortioxetine] | -0.60 | -0.80 | 5 |
19 | [Effexor] | -0.63 | -1.08 | 38 |
20 | [Paxil] | -0.64 | -0.73 | 11 |
21 | [Celexa] | -0.84 | -1.05 | 19 |
While Quetiapine / Seroquel is often thought of as a TCA, it is also a H1 receptor antagonist. It is a dopamine, serotonin, and adrenergic antagonist, and a potent antihistamine with some anticholinergic properties.
DAO = Diamine Oxidase enzyme
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [Rupatadine] | 3.00 | 0.00 | 1 |
2 | [Doxylamine] | 1.33 | 0.00 | 6 |
3 | [Other antihistamines] | 1.06 | 0.00 | 34 |
4 | [Quifenadine] | 1.00 | 0.00 | 1 |
5 | [Mizolastine] | 1.00 | 0.00 | 1 |
6 | [Seldane] | 1.00 | 0.00 | 1 |
7 | [Clarinex] | 0.90 | -0.19 | 21 |
8 | [Hydroxyzine] | 0.74 | -0.20 | 50 |
9 | [Zyrtec] | 0.61 | -0.13 | 202 |
10 | [Xyzal] | 0.59 | -0.41 | 34 |
11 | [Claritin] | 0.51 | -0.11 | 169 |
12 | [Ebastine] | 0.50 | 0.00 | 2 |
13 | [Ketotifen] | 0.48 | -0.45 | 29 |
14 | [Pepcid] | 0.46 | -0.23 | 173 |
15 | [DAO] | 0.36 | -0.19 | 59 |
16 | [Allegra] | 0.34 | -0.12 | 85 |
17 | [Benadryl] | 0.29 | -0.27 | 120 |
18 | [Acrivastine] | 0.25 | -0.29 | 51 |
19 | [Doxepin] | 0.19 | -0.28 | 32 |
20 | [Astemizole] | 0.00 | 0.00 | 1 |
21 | [Seroquel] | -0.52 | -0.86 | 44 |
22 | [Bilastine] | -0.67 | -1.00 | 3 |
23 | [Semprex D] | -1.50 | -1.50 | 2 |
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [Low histamine diet] | 1.25 | 0.00 | 218 |
2 | [Benzodiazepines] | 1.13 | -0.12 | 154 |
3 | [Diazepam] | 0.93 | -0.26 | 68 |
4 | [LDN] | 0.90 | -0.26 | 156 |
5 | [Ambien] | 0.67 | -0.33 | 33 |
6 | [Cromolyn] | 0.65 | -0.30 | 23 |
7 | [Mestinon] | 0.61 | -0.39 | 23 |
8 | [Montekulast] | 0.14 | -0.32 | 50 |
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [Cardio Miracle] | 1.33 | 0.00 | 6 |
2 | [Root wellness] | 0.90 | -0.10 | 10 |
3 | [Magnesium] | 0.86 | -0.06 | 400 |
4 | [TWC detox] | 0.80 | 0.00 | 10 |
5 | [St. John's Wort] | 0.71 | -0.17 | 24 |
6 | [Oil of oregano] | 0.69 | -0.06 | 62 |
7 | [Probiotics prebiotics] | 0.66 | -0.10 | 293 |
8 | [Nigella sativa oil] | 0.62 | -0.04 | 72 |
9 | [Cat's claw] | 0.62 | -0.12 | 24 |
10 | [Glutathione] | 0.59 | -0.08 | 162 |
11 | [NAC] | 0.56 | -0.13 | 267 |
12 | [B vitamins] | 0.56 | -0.12 | 388 |
13 | [Resveratrol] | 0.56 | -0.03 | 137 |
14 | [Vitamin D] | 0.54 | -0.05 | 429 |
15 | [CBD with THC] | 0.52 | -0.35 | 168 |
16 | [CoQ10] | 0.52 | -0.04 | 237 |
17 | [Curcumin] | 0.52 | -0.08 | 310 |
18 | [Quercetin] | 0.52 | -0.04 | 266 |
19 | [Nigella sativa capsules] | 0.51 | 0.00 | 67 |
20 | [CBD without THC] | 0.50 | -0.08 | 155 |
21 | [Melatonin] | 0.50 | -0.18 | 262 |
22 | [Zinc] | 0.50 | -0.06 | 297 |
23 | [Fish oil etc.] | 0.49 | -0.02 | 292 |
24 | [ALA] | 0.48 | -0.05 | 132 |
25 | [Lion's mane] | 0.47 | -0.15 | 113 |
26 | [Vitamin C] | 0.47 | -0.04 | 351 |
27 | [K vitamins] | 0.46 | -0.09 | 160 |
28 | [Lavender] | 0.45 | -0.07 | 55 |
29 | [Dandelion] | 0.42 | -0.05 | 100 |
30 | [NADH] | 0.41 | -0.13 | 93 |
31 | [Monolaurin] | 0.34 | -0.07 | 41 |
32 | [Multivitamin] | 0.34 | -0.07 | 247 |
33 | [Augmented NAC] | 0.25 | -0.21 | 85 |
34 | [Pine needle tea] | 0.24 | -0.12 | 66 |
35 | [Spermidine] | 0.14 | -0.09 | 35 |
36 | [Nigella sativa seed] | 0.09 | -0.09 | 11 |
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [Other diet] | 1.54 | 0.00 | 56 |
2 | [Paleo diet] | 1.33 | 0.00 | 21 |
3 | [Low histamine diet] | 1.25 | 0.00 | 218 |
4 | [Glutenfree diet] | 1.16 | -0.00 | 206 |
5 | [Wahls protocol] | 1.15 | -0.23 | 13 |
6 | [AIP diet] | 1.08 | -0.11 | 38 |
7 | [Anti inflammatory diet] | 1.06 | -0.04 | 95 |
8 | [Keto diet] | 0.86 | -0.23 | 69 |
9 | [Plant based diet] | 0.78 | -0.08 | 99 |
10 | [Carnivore diet] | 0.76 | -0.14 | 37 |
11 | [Vegan diet] | 0.61 | -0.27 | 44 |
Hydroxychloroquine/Plaquenil inhibits autophagy rather than promoting it.
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [Multiday wet fasting] | 0.85 | -0.24 | 46 |
2 | [Intermittent fasting] | 0.78 | -0.07 | 236 |
3 | [Plaquenil] | 0.66 | -0.32 | 44 |
4 | [Multiday juice fasting] | 0.56 | -0.28 | 25 |
5 | [Resveratrol] | 0.56 | -0.03 | 137 |
6 | [24-48 hour fasting] | 0.53 | -0.40 | 101 |
7 | [OMAD] | 0.51 | -0.22 | 135 |
8 | [Multiday dry fasting] | 0.40 | -0.73 | 15 |
9 | [Spermidine] | 0.14 | -0.09 | 35 |
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [Avacen] | 3.00 | 0.00 | 1 |
2 | [Wet cupping] | 1.67 | 0.00 | 3 |
3 | [Urotherapy] | 1.50 | 0.00 | 4 |
4 | [Other brain retraining] | 1.38 | 0.00 | 60 |
5 | [Ayurveda] | 1.38 | -0.08 | 13 |
6 | [Photobiomodulation] | 1.36 | -0.09 | 11 |
7 | [ASEA Redox] | 1.33 | -0.33 | 9 |
8 | [Prayer] | 1.25 | -0.01 | 170 |
9 | [Chlorine dioxide] | 1.18 | 0.00 | 17 |
10 | [Meditation] | 0.96 | -0.03 | 273 |
11 | [VNS] | 0.85 | -0.09 | 118 |
12 | [Osteopathy] | 0.80 | -0.33 | 46 |
13 | [Other TCM] | 0.80 | -0.20 | 45 |
14 | [EMDR] | 0.75 | -0.15 | 60 |
15 | [Kangen water] | 0.75 | 0.00 | 4 |
16 | [Dry cupping] | 0.73 | -0.07 | 56 |
17 | [NIBS] | 0.69 | -0.12 | 16 |
18 | [Wim Hof with cold] | 0.66 | -0.18 | 61 |
19 | [Acupuncture] | 0.65 | -0.19 | 182 |
20 | [DNRS] | 0.64 | -0.21 | 14 |
21 | [Zeolite] | 0.64 | -0.05 | 44 |
22 | [Quantum healing] | 0.62 | -0.19 | 16 |
23 | [Red light therapy] | 0.62 | -0.13 | 91 |
24 | [CBT] | 0.54 | -0.10 | 156 |
25 | [Homeopathy] | 0.51 | -0.23 | 77 |
26 | [Chiropractic] | 0.51 | -0.27 | 100 |
27 | [Gupta program] | 0.50 | 0.00 | 14 |
28 | [Bentonite clay] | 0.49 | -0.06 | 35 |
29 | [Infrared sauna] | 0.34 | -0.45 | 67 |
30 | [Wim Hof without cold] | 0.33 | -0.31 | 36 |
31 | [Lightning process] | 0.25 | -0.75 | 4 |
32 | [Traditional sauna] | 0.24 | -0.39 | 41 |
33 | [Rife] | 0.20 | -0.53 | 15 |
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [Other brain retraining] | 1.38 | 0.00 | 60 |
2 | [Prayer] | 1.25 | -0.01 | 170 |
3 | [Meditation] | 0.96 | -0.03 | 273 |
4 | [EMDR] | 0.75 | -0.15 | 60 |
5 | [Wim Hof with cold] | 0.66 | -0.18 | 61 |
6 | [Acupuncture] | 0.65 | -0.19 | 182 |
7 | [DNRS] | 0.64 | -0.21 | 14 |
8 | [CBT] | 0.54 | -0.10 | 156 |
9 | [Gupta program] | 0.50 | 0.00 | 14 |
10 | [Wim Hof without cold] | 0.33 | -0.31 | 36 |
11 | [Lightning process] | 0.25 | -0.75 | 4 |
*This survey did not ask whether methylene blue was taken via IV or swallowed into the body.
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [SCIG] | 2.00 | 0.00 | 2 |
2 | [Inuspheresis] | 2.00 | 0.00 | 2 |
3 | [PLEX] | 1.50 | 0.00 | 2 |
4 | [HBOT >1.5 ATA] | 1.48 | -0.12 | 33 |
5 | [Stem cells] | 1.43 | 0.00 | 7 |
6 | [Rapamycin] | 1.00 | 0.00 | 4 |
7 | [EBOO] | 1.00 | 0.00 | 7 |
8 | [IVIG] | 1.00 | 0.00 | 14 |
9 | [HELP apheresis] | 0.88 | -0.50 | 8 |
10 | [IV vitamins] | 0.82 | -0.06 | 65 |
11 | [Methylene blue] | 0.76 | -0.06 | 33 |
12 | [HBOT <=1.5 ATA] | 0.66 | -0.20 | 35 |
13 | [IV ozone] | 0.64 | -0.16 | 25 |
14 | [Biologic] | 0.56 | -0.33 | 9 |
15 | [Immunoadsorption] | 0.50 | 0.00 | 2 |
16 | [SGB] | 0.47 | 0.00 | 15 |
17 | [Corticosteroids] | 0.45 | -0.50 | 164 |
18 | [DMARD] | 0.17 | -0.50 | 12 |
19 | [Methotextrate] | -0.67 | -1.00 | 12 |
Chronic Lyme treatments such as HBOT, methylene blue, IV ozone, and monolaurin are included. Amphotericin, Canesten, Econazole, etc. are anti-fungals.
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [HBOT >1.5 ATA] | 1.48 | -0.12 | 33 |
2 | [Alinia] | 1.20 | 0.00 | 5 |
3 | [Monoclonals] | 1.00 | 0.00 | 14 |
4 | [Rapamycin] | 1.00 | 0.00 | 4 |
5 | [Ivermectin] | 0.95 | -0.15 | 140 |
6 | [Methylene blue] | 0.76 | -0.06 | 33 |
7 | [Oil of oregano] | 0.69 | -0.06 | 62 |
8 | [Plaquenil] | 0.66 | -0.32 | 44 |
9 | [HBOT <=1.5 ATA] | 0.66 | -0.20 | 35 |
10 | [IV ozone] | 0.64 | -0.16 | 25 |
11 | [Cat's claw] | 0.62 | -0.12 | 24 |
12 | [Nigella sativa oil] | 0.62 | -0.04 | 72 |
13 | [Molnupiravir] | 0.60 | 0.00 | 5 |
14 | [Aciclovir, Famciclovir, Valtrex, Valcyte] | 0.55 | -0.08 | 87 |
15 | [Amphotericin, Canesten, Econazole, Fluconazol... | 0.53 | -0.25 | 108 |
16 | [Nigella sativa capsules] | 0.51 | 0.00 | 67 |
17 | [Favipiravir] | 0.50 | 0.00 | 2 |
18 | [Lion's mane] | 0.47 | -0.15 | 113 |
19 | [Lavender] | 0.45 | -0.07 | 55 |
20 | [Monolaurin] | 0.34 | -0.07 | 41 |
21 | [Paxlovid] | 0.21 | -0.42 | 38 |
22 | [Tetracyclines, Fluoroquinolones, Penicillins,... | 0.20 | -0.56 | 232 |
23 | [Nigella sativa seed] | 0.09 | -0.09 | 11 |
24 | [Biocidin] | -0.38 | -0.50 | 8 |
'Antibiotic unknown type' = The surveyee doesn't know what antibiotic they took.
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [Aminoglycosides] | 1.00 | 0.00 | 1 |
2 | [Metronidazole] | 1.00 | -0.38 | 13 |
3 | [Rapamycin] | 1.00 | 0.00 | 4 |
4 | [Clindamycin] | 0.82 | -0.55 | 11 |
5 | [Sulfonamides] | 0.56 | -0.44 | 9 |
6 | [Tetracyclines] | 0.39 | -0.39 | 49 |
7 | [Antibiotic unknown type] | 0.33 | -0.29 | 24 |
8 | [Cephalosporins] | 0.18 | -0.73 | 11 |
9 | [Other antibiotic] | 0.08 | -0.50 | 12 |
10 | [Penicillins] | 0.04 | -0.63 | 52 |
11 | [Fluoroquinolones] | -0.17 | -0.71 | 24 |
12 | [Macrolides] | -0.25 | -0.90 | 20 |
13 | [Nitrofurantoin] | -0.83 | -1.17 | 6 |
Surveyees may have answered in an acute COVID-19 context or outside of an acute COVID-19 context.
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [Monoclonals] | 1.00 | 0.00 | 14 |
2 | [Ivermectin] | 0.95 | -0.15 | 140 |
3 | [TWC detox] | 0.80 | 0.00 | 10 |
4 | [Plaquenil] | 0.66 | -0.32 | 44 |
5 | [Molnupiravir] | 0.60 | 0.00 | 5 |
6 | [Vitamin D] | 0.54 | -0.05 | 429 |
7 | [Melatonin] | 0.50 | -0.18 | 262 |
8 | [Favipiravir] | 0.50 | 0.00 | 2 |
9 | [Tollovid] | 0.45 | -0.18 | 11 |
10 | [Vedicinals9] | 0.30 | -0.60 | 10 |
11 | [Paxlovid] | 0.21 | -0.42 | 38 |
Surveyees may have answered in an acute COVID-19 context or outside of an acute COVID-19 context.
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [HCG] | 1.00 | 0.00 | 1 |
2 | [St. John's Wort] | 0.71 | -0.17 | 24 |
3 | [TRT] | 0.52 | -0.19 | 21 |
4 | [Ashwagandha] | 0.35 | -0.19 | 150 |
5 | [Celexa, Lexapro, Fluvoxamine, Prozac, Paxil, ... | -0.16 | -0.63 | 206 |
6 | [Elavil, Doxepin, Pamelor, Clomipramine, Clomi... | -0.17 | -0.62 | 94 |
7 | [Remeron, Seroquel, Wellbutrin] | -0.34 | -0.75 | 134 |
8 | [Cymbalta, Effexor] | -0.44 | -0.99 | 78 |
Surveyees were instructed to leave answers blank if they weren't comfortable answering questions about CBD (which may be illegal in their jurisdiction).
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [Psychedelic mushrooms] | 0.69 | -0.20 | 51 |
2 | [CBD with THC] | 0.52 | -0.35 | 168 |
3 | [Patches] | 0.51 | -0.32 | 59 |
4 | [CBD without THC] | 0.50 | -0.08 | 155 |
5 | [Other nicotine] | 0.21 | -0.27 | 33 |
6 | [Vaping] | 0.00 | -0.30 | 37 |
7 | [Cigarettes] | -0.18 | -0.28 | 40 |
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [Other chelation] | 1.20 | 0.00 | 15 |
2 | [Activated charcoal] | 0.82 | -0.05 | 39 |
3 | [EDTA] | 0.62 | -0.12 | 8 |
4 | [DTPA] | 0.00 | 0.00 | 2 |
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [Water and salt] | 1.02 | -0.02 | 294 |
2 | [Drinking water] | 0.92 | 0.00 | 165 |
3 | [Guanfacine] | 0.83 | -0.33 | 24 |
4 | [Beta blockers] | 0.68 | -0.36 | 149 |
5 | [Compression garments] | 0.67 | -0.09 | 177 |
6 | [Sleeping with head of bed elevated] | 0.53 | -0.12 | 148 |
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [Ivermectin] | 0.95 | -0.15 | 140 |
2 | [Magnesium] | 0.86 | -0.06 | 400 |
3 | [TWC detox] | 0.80 | 0.00 | 10 |
4 | [Plaquenil] | 0.66 | -0.32 | 44 |
5 | [Nigella sativa oil] | 0.62 | -0.04 | 72 |
6 | [NAC] | 0.56 | -0.13 | 267 |
7 | [Vitamin D] | 0.54 | -0.05 | 429 |
8 | [Quercetin] | 0.52 | -0.04 | 266 |
9 | [Curcumin] | 0.52 | -0.08 | 310 |
10 | [Nigella sativa capsules] | 0.51 | 0.00 | 67 |
11 | [Zinc] | 0.50 | -0.06 | 297 |
12 | [Vitamin C] | 0.47 | -0.04 | 351 |
13 | [Vedicinals9] | 0.30 | -0.60 | 10 |
14 | [Augmented NAC] | 0.25 | -0.21 | 85 |
15 | [Nigella sativa seed] | 0.09 | -0.09 | 11 |
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [Avacen] | 3.00 | 0.00 | 1 |
2 | [Urotherapy] | 1.50 | 0.00 | 4 |
3 | [ASEA Redox] | 1.33 | -0.33 | 9 |
4 | [Cardio Miracle] | 1.33 | 0.00 | 6 |
5 | [Chlorine dioxide] | 1.18 | 0.00 | 17 |
6 | [Root wellness] | 0.90 | -0.10 | 10 |
7 | [TWC detox] | 0.80 | 0.00 | 10 |
8 | [Kangen water] | 0.75 | 0.00 | 4 |
9 | [Zeolite] | 0.64 | -0.05 | 44 |
10 | [DNRS] | 0.64 | -0.21 | 14 |
11 | [Gupta program] | 0.50 | 0.00 | 14 |
12 | [Lightning process] | 0.25 | -0.75 | 4 |
13 | [Augmented NAC] | 0.25 | -0.21 | 85 |
14 | [Frequency wand] | -0.62 | -1.25 | 8 |
These charts show how surveyees reported their experiences with particular treatments. If the treatment had very few data points, they are usually grouped together with other similar treatments to provide combined data.
===Popularity stats=== PostVac 4.5% 14/312 patients LC 4.3% 10/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 7.4% 23/312 patients LC 5.1% 12/235 patients MECFS 19.2% 5/26 patients
===Popularity stats=== PostVac 7.1% 22/312 patients LC 3.0% 7/235 patients MECFS 34.6% 9/26 patients
===Popularity stats=== PostVac 7.4% 23/312 patients LC 3.4% 8/235 patients MECFS 23.1% 6/26 patients
===Popularity stats=== PostVac 6.1% 19/312 patients LC 5.1% 12/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 4.2% 13/312 patients LC 9.4% 22/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 10.6% 33/312 patients LC 3.8% 9/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 7.4% 23/312 patients LC 11.9% 28/235 patients MECFS 15.4% 4/26 patients
===Popularity stats=== PostVac 1.3% 4/312 patients LC 5.5% 13/235 patients MECFS 11.5% 3/26 patients
===Popularity stats=== PostVac 38.8% 121/312 patients LC 45.1% 106/235 patients MECFS 50.0% 13/26 patients
===Popularity stats=== PostVac 43.3% 135/312 patients LC 43.4% 102/235 patients MECFS 46.2% 12/26 patients
===Popularity stats=== PostVac 45.8% 143/312 patients LC 52.3% 123/235 patients MECFS 50.0% 13/26 patients
===Popularity stats=== PostVac 32.7% 102/312 patients LC 30.6% 72/235 patients MECFS 30.8% 8/26 patients
Heparin, Eliquis / Apixiban, Clopidogrel, Xarelto, Sulodexide
===Popularity stats=== PostVac 3.2% 10/312 patients LC 2.6% 6/235 patients MECFS 11.5% 3/26 patients
===Popularity stats=== PostVac 3.5% 11/312 patients LC 3.8% 9/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 5.1% 16/312 patients LC 3.8% 9/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 45.8% 143/312 patients LC 38.3% 90/235 patients MECFS 38.5% 10/26 patients
===Popularity stats=== PostVac 20.5% 64/312 patients LC 23.0% 54/235 patients MECFS 19.2% 5/26 patients
===Popularity stats=== PostVac 10.9% 34/312 patients LC 8.9% 21/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 0.0% 0/312 patients LC 0.4% 1/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 2.9% 9/312 patients LC 4.7% 11/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 3.8% 12/312 patients LC 0.4% 1/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 0.6% 2/312 patients LC 0.0% 0/235 patients MECFS 0.0% 0/26 patients
Data on PLEX is also available from the Risk Factors Survey:
===Popularity stats=== PostVac 0.6% 2/312 patients LC 0.0% 0/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 1.3% 4/312 patients LC 1.7% 4/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 0.0% 0/312 patients LC 0.9% 2/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 0.6% 2/312 patients LC 0.0% 0/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 5.8% 18/312 patients LC 1.3% 3/235 patients MECFS 15.4% 4/26 patients
===Popularity stats=== PostVac 2.2% 7/312 patients LC 3.4% 8/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 1.3% 4/312 patients LC 0.9% 2/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 13.5% 42/312 patients LC 7.2% 17/235 patients MECFS 23.1% 6/26 patients
===Popularity stats=== PostVac 8.7% 27/312 patients LC 5.1% 12/235 patients MECFS 19.2% 5/26 patients
===Popularity stats=== PostVac 1.6% 5/312 patients LC 0.4% 1/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 9.0% 28/312 patients LC 1.7% 4/235 patients MECFS 3.8% 1/26 patients
HBOT <=1.5 ATA, HBOT >1.5 ATA
===Popularity stats=== PostVac 7.1% 22/312 patients LC 4.3% 10/235 patients MECFS 11.5% 3/26 patients
===Popularity stats=== PostVac 5.8% 18/312 patients LC 5.1% 12/235 patients MECFS 11.5% 3/26 patients
===Popularity stats=== PostVac 7.4% 23/312 patients LC 4.3% 10/235 patients MECFS 23.1% 6/26 patients
===Popularity stats=== PostVac 1.9% 6/312 patients LC 0.0% 0/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 0.6% 2/312 patients LC 0.0% 0/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 3.8% 12/312 patients LC 0.4% 1/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 24.7% 77/312 patients LC 40.0% 94/235 patients MECFS 23.1% 6/26 patients
Note: surveyees may have misinterpreted the survey question ('Increased intake of water and salt'), use the data with caution. The higher popularity of this intervention suggests that people without POTS or dysautonomia answered this question and have a different interpretation as to what this intervention is.
===Popularity stats=== PostVac 45.2% 141/312 patients LC 61.7% 145/235 patients MECFS 30.8% 8/26 patients
===Popularity stats=== PostVac 21.2% 66/312 patients LC 39.1% 92/235 patients MECFS 26.9% 7/26 patients
===Popularity stats=== PostVac 25.6% 80/312 patients LC 26.0% 61/235 patients MECFS 26.9% 7/26 patients
===Popularity stats=== PostVac 34.9% 109/312 patients LC 20.4% 48/235 patients MECFS 26.9% 7/26 patients
Do people with lower severity respond better to corticosteroids? Current severity 4 or less | Average (mean) score: 0.71 | n = 55 Current severity 5 or more | Average (mean) score: 0.28 | n = 83
===Popularity stats=== PostVac 2.9% 9/312 patients LC 1.3% 3/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 2.2% 7/312 patients LC 0.9% 2/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 1.9% 6/312 patients LC 2.6% 6/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 33.0% 103/312 patients LC 11.9% 28/235 patients MECFS 34.6% 9/26 patients
===Popularity stats=== PostVac 10.3% 32/312 patients LC 3.4% 8/235 patients MECFS 15.4% 4/26 patients
===Popularity stats=== PostVac 1.0% 3/312 patients LC 0.0% 0/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 0.0% 0/312 patients LC 0.9% 2/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 7.4% 23/312 patients LC 10.2% 24/235 patients MECFS 15.4% 4/26 patients
===Popularity stats=== PostVac 0.3% 1/312 patients LC 0.4% 1/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 4.8% 15/312 patients LC 4.7% 11/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 0.6% 2/312 patients LC 1.3% 3/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 3.8% 12/312 patients LC 10.6% 25/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 0.6% 2/312 patients LC 1.3% 3/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 3.2% 10/312 patients LC 1.3% 3/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 0.3% 1/312 patients LC 4.3% 10/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 1.9% 6/312 patients LC 1.7% 4/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 12.8% 40/312 patients LC 6.0% 14/235 patients MECFS 30.8% 8/26 patients
===Popularity stats=== PostVac 13.1% 41/312 patients LC 7.2% 17/235 patients MECFS 11.5% 3/26 patients
===Popularity stats=== PostVac 22.4% 70/312 patients LC 15.3% 36/235 patients MECFS 26.9% 7/26 patients
===Popularity stats=== PostVac 26.9% 84/312 patients LC 26.0% 61/235 patients MECFS 34.6% 9/26 patients
===Popularity stats=== PostVac 4.2% 13/312 patients LC 5.5% 13/235 patients MECFS 26.9% 7/26 patients
===Popularity stats=== PostVac 13.8% 43/312 patients LC 8.5% 20/235 patients MECFS 19.2% 5/26 patients
===Popularity stats=== PostVac 12.5% 39/312 patients LC 11.1% 26/235 patients MECFS 23.1% 6/26 patients
===Popularity stats=== PostVac 8.3% 26/312 patients LC 9.4% 22/235 patients MECFS 11.5% 3/26 patients
===Popularity stats=== PostVac 25.0% 78/312 patients LC 27.2% 64/235 patients MECFS 26.9% 7/26 patients
===Popularity stats=== PostVac 1.9% 6/312 patients LC 7.7% 18/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 2.9% 9/312 patients LC 5.5% 13/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 8.0% 25/312 patients LC 8.9% 21/235 patients MECFS 15.4% 4/26 patients
===Popularity stats=== PostVac 7.7% 24/312 patients LC 3.4% 8/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 3.8% 12/312 patients LC 8.1% 19/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 2.6% 8/312 patients LC 2.1% 5/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 9.9% 31/312 patients LC 8.5% 20/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 30.1% 94/312 patients LC 42.6% 100/235 patients MECFS 30.8% 8/26 patients
===Popularity stats=== PostVac 16.7% 52/312 patients LC 26.8% 63/235 patients MECFS 19.2% 5/26 patients
===Popularity stats=== PostVac 29.5% 92/312 patients LC 31.9% 75/235 patients MECFS 23.1% 6/26 patients
===Popularity stats=== PostVac 12.2% 38/312 patients LC 19.1% 45/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 25.0% 78/312 patients LC 37.0% 87/235 patients MECFS 15.4% 4/26 patients
===Popularity stats=== PostVac 4.8% 15/312 patients LC 5.1% 12/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 3.8% 12/312 patients LC 8.9% 21/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 8.3% 26/312 patients LC 13.2% 31/235 patients MECFS 7.7% 2/26 patients
Note: Some anti-histamine drugs (e.g. Doxepin, Seroquel) are listed under anti-depressants above.
===Popularity stats=== PostVac 3.8% 12/312 patients LC 3.8% 9/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 4.2% 13/312 patients LC 3.4% 8/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 24.0% 75/312 patients LC 30.6% 72/235 patients MECFS 34.6% 9/26 patients
===Popularity stats=== PostVac 15.4% 48/312 patients LC 8.1% 19/235 patients MECFS 19.2% 5/26 patients
===Popularity stats=== PostVac 15.1% 47/312 patients LC 6.4% 15/235 patients MECFS 19.2% 5/26 patients
===Popularity stats=== PostVac 1.9% 6/312 patients LC 1.7% 4/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 24.0% 75/312 patients LC 20.0% 47/235 patients MECFS 38.5% 10/26 patients
===Popularity stats=== PostVac 26.9% 84/312 patients LC 26.0% 61/235 patients MECFS 19.2% 5/26 patients
===Popularity stats=== PostVac 1.3% 4/312 patients LC 1.3% 3/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 3.8% 12/312 patients LC 3.8% 9/235 patients MECFS 11.5% 3/26 patients
===Popularity stats=== PostVac 25.3% 79/312 patients LC 28.5% 67/235 patients MECFS 34.6% 9/26 patients
===Popularity stats=== PostVac 30.8% 96/312 patients LC 27.7% 65/235 patients MECFS 26.9% 7/26 patients
===Popularity stats=== PostVac 36.5% 114/312 patients LC 44.7% 105/235 patients MECFS 69.2% 18/26 patients
===Popularity stats=== PostVac 55.8% 174/312 patients LC 51.9% 122/235 patients MECFS 53.8% 14/26 patients
===Popularity stats=== PostVac 19.6% 61/312 patients LC 13.2% 31/235 patients MECFS 30.8% 8/26 patients
===Popularity stats=== PostVac 48.7% 152/312 patients LC 52.3% 123/235 patients MECFS 65.4% 17/26 patients
===Popularity stats=== PostVac 34.6% 108/312 patients LC 19.1% 45/235 patients MECFS 34.6% 9/26 patients
===Popularity stats=== PostVac 11.2% 35/312 patients LC 7.7% 18/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 20.5% 64/312 patients LC 19.6% 46/235 patients MECFS 11.5% 3/26 patients
===Popularity stats=== PostVac 44.2% 138/312 patients LC 47.7% 112/235 patients MECFS 46.2% 12/26 patients
===Popularity stats=== PostVac 7.1% 22/312 patients LC 6.8% 16/235 patients MECFS 11.5% 3/26 patients
===Popularity stats=== PostVac 49.0% 153/312 patients LC 44.3% 104/235 patients MECFS 38.5% 10/26 patients
===Popularity stats=== PostVac 16.0% 50/312 patients LC 12.8% 30/235 patients MECFS 19.2% 5/26 patients
===Popularity stats=== PostVac 14.4% 45/312 patients LC 17.4% 41/235 patients MECFS 26.9% 7/26 patients
===Popularity stats=== PostVac 11.2% 35/312 patients LC 10.6% 25/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 18.6% 58/312 patients LC 2.6% 6/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 45.5% 142/312 patients LC 56.6% 133/235 patients MECFS 69.2% 18/26 patients
===Popularity stats=== PostVac 52.2% 163/312 patients LC 38.7% 91/235 patients MECFS 46.2% 12/26 patients
===Popularity stats=== PostVac 28.5% 89/312 patients LC 18.3% 43/235 patients MECFS 19.2% 5/26 patients
===Popularity stats=== PostVac 10.3% 32/312 patients LC 1.3% 3/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 6.1% 19/312 patients LC 1.7% 4/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 64.7% 202/312 patients LC 71.9% 169/235 patients MECFS 65.4% 17/26 patients
*Intravenous vitamin C is listed elsewhere as "IV vitamin C".
===Popularity stats=== PostVac 61.2% 191/312 patients LC 60.4% 142/235 patients MECFS 69.2% 18/26 patients
===Popularity stats=== PostVac 73.1% 228/312 patients LC 77.0% 181/235 patients MECFS 76.9% 20/26 patients
===Popularity stats=== PostVac 31.4% 98/312 patients LC 22.6% 53/235 patients MECFS 34.6% 9/26 patients
===Popularity stats=== PostVac 40.7% 127/312 patients LC 46.0% 108/235 patients MECFS 46.2% 12/26 patients
===Popularity stats=== PostVac 67.6% 211/312 patients LC 71.1% 167/235 patients MECFS 84.6% 22/26 patients
===Popularity stats=== PostVac 54.2% 169/312 patients LC 46.8% 110/235 patients MECFS 69.2% 18/26 patients
CBD is found above, not here.
===Popularity stats=== PostVac 6.4% 20/312 patients LC 7.2% 17/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 9.0% 28/312 patients LC 4.7% 11/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 9.0% 28/312 patients LC 12.3% 29/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 6.7% 21/312 patients LC 4.3% 10/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 6.4% 20/312 patients LC 12.3% 29/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 34.9% 109/312 patients LC 41.7% 98/235 patients MECFS 42.3% 11/26 patients
===Popularity stats=== PostVac 35.3% 110/312 patients LC 35.7% 84/235 patients MECFS 46.2% 12/26 patients
===Popularity stats=== PostVac 15.7% 49/312 patients LC 18.7% 44/235 patients MECFS 23.1% 6/26 patients
===Popularity stats=== PostVac 7.7% 24/312 patients LC 7.7% 18/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 5.8% 18/312 patients LC 8.1% 19/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 2.6% 8/312 patients LC 2.1% 5/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 7.1% 22/312 patients LC 6.0% 14/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 9.0% 28/312 patients LC 16.2% 38/235 patients MECFS 11.5% 3/26 patients
===Popularity stats=== PostVac 16.0% 50/312 patients LC 17.4% 41/235 patients MECFS 15.4% 4/26 patients
===Popularity stats=== PostVac 12.5% 39/312 patients LC 6.4% 15/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 27.9% 87/312 patients LC 17.4% 41/235 patients MECFS 26.9% 7/26 patients
===Popularity stats=== PostVac 44.6% 139/312 patients LC 35.7% 84/235 patients MECFS 50.0% 13/26 patients
===Popularity stats=== PostVac 18.9% 59/312 patients LC 15.7% 37/235 patients MECFS 19.2% 5/26 patients
===Popularity stats=== PostVac 7.7% 24/312 patients LC 8.9% 21/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 2.9% 9/312 patients LC 2.6% 6/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 4.5% 14/312 patients LC 4.3% 10/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 44.2% 138/312 patients LC 49.4% 116/235 patients MECFS 50.0% 13/26 patients
===Popularity stats=== PostVac 62.5% 195/312 patients LC 63.4% 149/235 patients MECFS 73.1% 19/26 patients
===Popularity stats=== PostVac 15.4% 48/312 patients LC 30.2% 71/235 patients MECFS 38.5% 10/26 patients
===Popularity stats=== PostVac 52.2% 163/312 patients LC 65.1% 153/235 patients MECFS 65.4% 17/26 patients
===Popularity stats=== PostVac 30.1% 94/312 patients LC 63.8% 150/235 patients MECFS 61.5% 16/26 patients
===Popularity stats=== PostVac 24.7% 77/312 patients LC 29.4% 69/235 patients MECFS 38.5% 10/26 patients
===Popularity stats=== PostVac 33.3% 104/312 patients LC 22.6% 53/235 patients MECFS 50.0% 13/26 patients
===Popularity stats=== PostVac 42.3% 132/312 patients LC 55.3% 130/235 patients MECFS 42.3% 11/26 patients
===Popularity stats=== PostVac 9.3% 29/312 patients LC 11.5% 27/235 patients MECFS 15.4% 4/26 patients
===Popularity stats=== PostVac 1.3% 4/312 patients LC 3.4% 8/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 1.6% 5/312 patients LC 3.4% 8/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 0.3% 1/312 patients LC 1.3% 3/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 5.1% 16/312 patients LC 8.1% 19/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 8.7% 27/312 patients LC 14.0% 33/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 9.6% 30/312 patients LC 11.9% 28/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 35.6% 111/312 patients LC 26.4% 62/235 patients MECFS 34.6% 9/26 patients
===Popularity stats=== PostVac 23.7% 74/312 patients LC 9.4% 22/235 patients MECFS 15.4% 4/26 patients
===Popularity stats=== PostVac 12.2% 38/312 patients LC 6.8% 16/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 1.0% 3/312 patients LC 0.0% 0/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 9.0% 28/312 patients LC 6.0% 14/235 patients MECFS 11.5% 3/26 patients
===Popularity stats=== PostVac 16.7% 52/312 patients LC 7.2% 17/235 patients MECFS 30.8% 8/26 patients
===Popularity stats=== PostVac 10.9% 34/312 patients LC 3.8% 9/235 patients MECFS 11.5% 3/26 patients
===Popularity stats=== PostVac 2.9% 9/312 patients LC 0.4% 1/235 patients MECFS 19.2% 5/26 patients
===Popularity stats=== PostVac 3.5% 11/312 patients LC 1.3% 3/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 2.2% 7/312 patients LC 3.0% 7/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 19.6% 61/312 patients LC 22.1% 52/235 patients MECFS 19.2% 5/26 patients
===Popularity stats=== PostVac 1.9% 6/312 patients LC 1.3% 3/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 9.0% 28/312 patients LC 1.3% 3/235 patients MECFS 15.4% 4/26 patients
===Popularity stats=== PostVac 4.2% 13/312 patients LC 0.9% 2/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 1.0% 3/312 patients LC 0.0% 0/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 10.9% 34/312 patients LC 3.4% 8/235 patients MECFS 7.7% 2/26 patients
===Popularity stats=== PostVac 2.9% 9/312 patients LC 0.0% 0/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 0.3% 1/312 patients LC 0.0% 0/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 1.9% 6/312 patients LC 0.0% 0/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 0.6% 2/312 patients LC 0.9% 2/235 patients MECFS 0.0% 0/26 patients
This data may be biased as many users blocked the survey recruiter on Facebook and/or participate in the multi-level marketing scheme that sells this product.
===Popularity stats=== PostVac 2.6% 8/312 patients LC 0.0% 0/235 patients MECFS 0.0% 0/26 patients
===Popularity stats=== PostVac 2.6% 8/312 patients LC 0.4% 1/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 2.6% 8/312 patients LC 0.4% 1/235 patients MECFS 3.8% 1/26 patients
===Popularity stats=== PostVac 2.6% 8/312 patients LC 1.7% 4/235 patients MECFS 3.8% 1/26 patients
*Note: Some people lose their ability to tolerate heat (e.g. hot showers) after they develop chronic illness. What works for somebody else may not be appropriate for you.
===Popularity stats=== PostVac 7.7% 24/312 patients LC 5.5% 13/235 patients MECFS 15.4% 4/26 patients
===Popularity stats=== PostVac 13.1% 41/312 patients LC 8.9% 21/235 patients MECFS 19.2% 5/26 patients
===Popularity stats=== PostVac 18.9% 59/312 patients LC 11.5% 27/235 patients MECFS 19.2% 5/26 patients
Around 85% engaged with this question while others did not. It is possible that the question is interpreted differently between surveyees.
===Popularity stats=== PostVac 86.9% 271/312 patients LC 91.9% 216/235 patients MECFS 80.8% 21/26 patients
Number of treatments tried versus biological sex: Female: 33.1 Male: 27.6
Age distribution in Long COVID surveyees
Age distribution in COVID vaccine injured surveyees
69.5% of surveyees indicated that they were biologically female.
3.0 120 0.0 69 2.0 58 1.0 49 Name: Employment severity current, dtype: int64
The severity scale is as follows:
Surveyees reported 'peak' severity from the worst month of illness.
The survey asked:
How did you find out about this survey? e.g. r/CovidLongHaulers, a specific Twitter account, etc.
If there is a pre-filled answer below that is correct, please do not change it.
"Reddit Long COVID" refers to Long COVID-related groups (mainly r/CovidLongHaulers) on the Reddit platform.
Referrer | |
---|---|
Reddit Long COVID | 187 |
Facebook C19 Vax Adverse Reactions | 152 |
Reddit Post Vax | 52 |
Facebook Canadian Vccn | 43 |
SickAndAbandoned.com + LongHaulWiki.com | 34 |
32 | |
Facebook Long COVID | 24 |
Unknown | 20 |
Discord | 11 |
Health Rising forums | 7 |
Word of mouth | 6 |
3 | |
Facebook VASE family | 1 |
1 |
Please note that the recruitment strategy for this survey was quite different than previous surveys such as the Risk Factors Survey. (Data on the Risk Factors survey's recruitment can be found on slide 68 here: http://sickandabandoned.com/wp-content/uploads/2023/06/SAA-Risk-Factors-Survey-FULL.pdf )
This survey did not have participants from the two largest vaccine injured Facebook groups.
"No light sensitivity" = surveyee answered "None of the above". They may actually have light sensitivity but they did not select any of the avoidance behaviours in the checkboxes above.
The tables below show the percentage of each group that selected the checkbox.
The general trend is that avoidance behaviours increased with higher severity of the symptom; however, not all surveyees with the highest reported severity engaged in all of the avoidance behaviours.
Sunglasses | Avoided outdoors | Avoided bright environments | No light sensitivity | Earpro | Avoided loud environments | No sound sensitivity | |
---|---|---|---|---|---|---|---|
Peak sound sensitivity | |||||||
-1.0 | 0.120370 | 0.111111 | 0.129630 | 0.777778 | 0.045872 | 0.082569 | 0.889908 |
0.0 | 0.066667 | 0.166667 | 0.300000 | 0.633333 | 0.103448 | 0.137931 | 0.827586 |
1.0 | 0.255556 | 0.311111 | 0.566667 | 0.366667 | 0.333333 | 0.611111 | 0.300000 |
2.0 | 0.233645 | 0.373832 | 0.588785 | 0.308411 | 0.412844 | 0.770642 | 0.119266 |
3.0 | 0.338843 | 0.487603 | 0.710744 | 0.206612 | 0.524590 | 0.860656 | 0.073770 |
4.0 | 0.428571 | 0.653061 | 0.806122 | 0.091837 | 0.663265 | 0.887755 | 0.030612 |
Sunglasses | Avoided outdoors | Avoided bright environments | No light sensitivity | Earpro | Avoided loud environments | No sound sensitivity | |
---|---|---|---|---|---|---|---|
Peak light sensitivity | |||||||
-1.0 | 0.019417 | 0.058252 | 0.029126 | 0.932039 | 0.096154 | 0.211538 | 0.740385 |
0.0 | 0.050000 | 0.050000 | 0.125000 | 0.800000 | 0.230769 | 0.333333 | 0.589744 |
1.0 | 0.147368 | 0.252632 | 0.473684 | 0.421053 | 0.357895 | 0.557895 | 0.336842 |
2.0 | 0.288288 | 0.450450 | 0.684685 | 0.189189 | 0.380531 | 0.752212 | 0.185841 |
3.0 | 0.416667 | 0.575000 | 0.833333 | 0.100000 | 0.495868 | 0.809917 | 0.140496 |
4.0 | 0.548780 | 0.658537 | 0.841463 | 0.036585 | 0.658537 | 0.853659 | 0.048780 |
Using current sensivity versus peak sensitivity
Sunglasses | Avoided outdoors | Avoided bright environments | No light sensitivity | Earpro | Avoided loud environments | No sound sensitivity | |
---|---|---|---|---|---|---|---|
Current sound sensitivity | |||||||
-1.0 | 0.162162 | 0.155405 | 0.243243 | 0.648649 | 0.115646 | 0.204082 | 0.761905 |
0.0 | 0.191489 | 0.287234 | 0.489362 | 0.404255 | 0.255319 | 0.595745 | 0.319149 |
1.0 | 0.327869 | 0.467213 | 0.672131 | 0.270492 | 0.467213 | 0.770492 | 0.114754 |
2.0 | 0.340426 | 0.553191 | 0.755319 | 0.180851 | 0.628866 | 0.876289 | 0.051546 |
3.0 | 0.400000 | 0.527273 | 0.672727 | 0.200000 | 0.618182 | 0.854545 | 0.072727 |
4.0 | 0.400000 | 0.800000 | 0.850000 | 0.000000 | 0.700000 | 0.900000 | 0.000000 |
Sunglasses | Avoided outdoors | Avoided bright environments | No light sensitivity | Earpro | Avoided loud environments | No sound sensitivity | |
---|---|---|---|---|---|---|---|
Current light sensitivity | |||||||
-1.0 | 0.074324 | 0.128378 | 0.141892 | 0.790541 | 0.182432 | 0.290541 | 0.635135 |
0.0 | 0.161616 | 0.232323 | 0.434343 | 0.444444 | 0.290000 | 0.600000 | 0.350000 |
1.0 | 0.374046 | 0.458015 | 0.732824 | 0.167939 | 0.473282 | 0.732824 | 0.167939 |
2.0 | 0.409091 | 0.568182 | 0.784091 | 0.125000 | 0.539326 | 0.808989 | 0.123596 |
3.0 | 0.460000 | 0.760000 | 0.860000 | 0.060000 | 0.560000 | 0.840000 | 0.100000 |
4.0 | 0.500000 | 0.812500 | 0.875000 | 0.000000 | 0.687500 | 0.875000 | 0.000000 |
Second column is peak light sensitivity. There is a strong correlation between sound and light sensitivity.
Peak sound sensitivity -1.0 -0.300000 0.0 0.580645 1.0 1.134831 2.0 1.772727 3.0 2.570248 4.0 3.322917 Name: Peak light sensitivity, dtype: float64
-1 = do not have this symptom. 0 = minimal suffering. 4 = worst suffering imaginable
The survey asked respondents to rate their symptoms on a Likert scale.
These analyses look at possible connections between symptoms and treatment responses.
Those with severe food intolerances are more likely to report significant improvement from a low-histamine or gluten-free diet.
Food intolerances 2 or less | Average (mean) score: 0.92 | n = 92 Food intolerances 3-4 | Average (mean) score: 1.48 | n = 126
Food intolerances 2 or less | Average (mean) score: 0.87 | n = 99 Food intolerances 3-4 | Average (mean) score: 1.42 | n = 106
Food intolerances versus anti-histamines
Food intolerances 2 or less | Average (mean) score: 0.65 | n = 112 Food intolerances 3-4 | Average (mean) score: 0.59 | n = 87
It is thought that DAO enzymes will benefit those with a strong histamine intolerance. However, reported outcomes do not seem to correlate heavily with self-reported food intolerance.
Food intolerances 2 or less | Average (mean) score: 0.53 | n = 17 Food intolerances 3-4 | Average (mean) score: 0.29 | n = 42
Those with the most severe food intolerances may respond differently to benzodiazepines, a drug often prescribed for Mast Cell Activation Syndrome (MCAS). Food intolerances are associated with MCAS.
Food intolerances 2 or less | Average (mean) score: 1.29 | n = 90 Food intolerances 3-4 | Average (mean) score: 0.92 | n = 61
Food intolerances versus low-dose naltrexone (LDN)
Food intolerances 2 or less | Average (mean) score: 1.0 | n = 96 Food intolerances 3-4 | Average (mean) score: 0.69 | n = 59
HBOT >1.5 ATA versus food intolerances. Note: low sample size.
Food intolerances 2 or less | Average (mean) score: 1.29 | n = 17 Food intolerances 3-4 | Average (mean) score: 1.69 | n = 16
Food intolerances versus OMAD
Food intolerances 2 or less | Average (mean) score: 0.39 | n = 72 Food intolerances 3-4 | Average (mean) score: 0.64 | n = 61
Food intolerances versus prescription blood thinners
Do those without blood clotting/bleeding disorders report better outcomes from blood thinning drugs?!
No clotting disorder | Average (mean) score: -0.31 | n = 29 Reported clotting disorder | Average (mean) score: 1.02 | n = 47
No bleeding disorder | Average (mean) score: 0.42 | n = 53 Reported bleeding disorder | Average (mean) score: 0.48 | n = 23
Peak pain 2 or lower | Average (mean) score: 0.94 | n = 16 Peak pain 3 or higher | Average (mean) score: 0.93 | n = 45
Peak pain 2 or lower | Average (mean) score: 0.41 | n = 29 Peak pain 3 or higher | Average (mean) score: -0.09 | n = 81
Peak pain 2 or lower | Average (mean) score: 0.87 | n = 15 Peak pain 3 or higher | Average (mean) score: 0.2 | n = 46
Those who reported the most severe depression in their worst month of illness tended to report a higher rate of significant improvement.
No depression | Average (mean) score: 0.08 | n = 26 Peak depression 0-2 | Average (mean) score: -0.26 | n = 210 Peak depression 3-4 | Average (mean) score: -0.31 | n = 270
SSRIs may be slightly more effective in those who report the most severe brain fog, memory problems, or cognitive difficulties???
However, SSRIs were among the lowest-rated treatments in this survey.
No cognitive difficulties | Average (mean) score: -0.71 | n = 7 Cognitive difficulties 0-3 | Average (mean) score: -0.3 | n = 122 Cognitive difficulties 4 | Average (mean) score: 0.08 | n = 76
No cognitive difficulties | Average (mean) score: 0.0 | n = 16 Cognitive difficulties 0-3 | Average (mean) score: -0.29 | n = 324 Cognitive difficulties 4 | Average (mean) score: -0.25 | n = 166
No cognitive difficulties | Average (mean) score: 0.67 | n = 6 Cognitive difficulties 0-3 | Average (mean) score: 1.08 | n = 89 Cognitive difficulties 4 | Average (mean) score: 0.73 | n = 45
Benzodiazepines are sometimes prescribed for sleep issues.
(Ambien is also prescribed but there is too little data to perform a useful analysis.)
Sleep issues 3 or less | Average (mean) score: 1.02 | n = 89 Sleep issues 4 | Average (mean) score: 1.3 | n = 63
No POTS or feeling faint when standing up | Average (mean) score: 0.59 | n = 22 POTS 0-3 | Average (mean) score: 0.63 | n = 67 POTS 4 | Average (mean) score: 0.76 | n = 58
Compression garments / stockings
Drinking water before getting up in the morning
Sleeping with head of bed elevated
Increased intake of water and salt (Water and salt). *Note: surveyees may have misinterpreted this 'treatment', use caution when interpreting data.
The severity score is the combination of the following:
The combined score can range from -1 to 9.
High recovery = An improvement of 2.0 or more
Low recovery = An improvement of 1.0 or less (includes worsening)
HBOT may be an outlier as there is a large difference between the high and low recovery groups.
The chart below compares those with high levels of recovery versus those who little or no recovery. For the most part, both groups have tried the same treatments.
The treatments below were chosen because surveyees had very different experiences with those treatments.
Percentage with current symptom suffering rated 'worst suffering imaginable': 25.6 % | 138 out of 539 Percentage who cannot currently walk more than 1 minute: 5.8999999999999995 % | 32 out of 538 Percentage who cannot work their old job: 39.0 % | 210 out of 538
In the chart below, there are 2 bars in between the x-axis labels 0" and "2". These bars are for 0 and 1. The labels on the x-axis correspond to the bar to the upper right of it.
The numbers inside each box represent the number of people.
Some surveyees increased along the severity scale due to a worsening of their work ability. This may suggest that work ability is not that important to these surveyees because they did not rate the past 30 days as being the worst month of their illness.
16 responses were dropped (at the beginning of all analysis) as their peak severity score was 2 or less. Please note that this skews the data towards lower recovery rates! Number of people where severity score is available: 487 Questions for current severity were added later after some initial responses were collected. Some people are missing severity scores because they didn't know how to answer the question about walking ability or because their worst month overlapped with the past 30 days.
Severity score during worst month of illness Long COVID 6.8 | n = 235 ME/CFS 7.2 | n = 26 Vaccine injured 7.0 | n = 312 Severity score for past 30 days Long COVID 4.5 | n = 235 ME/CFS 5.3 | n = 26 Vaccine injured 4.6 | n = 312 Walking score for past 30 days (higher = greater impairment to walking ability) Long COVID 0.2 | n = 235 ME/CFS 0.3 | n = 26 Vaccine injured 0.2 | n = 312 Working score for past 30 days (higher = greater impairment to working ability) Long COVID 1.7 | n = 235 ME/CFS 2.4 | n = 26 Vaccine injured 1.8 | n = 312 Self-reported suffering for past 30 days (4 = greatest suffering imaginable) Long COVID 2.6 | n = 235 ME/CFS 2.7 | n = 26 Vaccine injured 2.7 | n = 312
Recovery, as measured by severity during worst month minus severity during the past 30 days
Severity during worst month of illness
Surprisingly, "Other pain relievers" ranked near the bottom of the list along with gabapentin, doxepin, and elavil.
Pain severity from the worst month of illness was used.
Opiates were included but the sample size is small.
Number of data points for Opiates - 45 from the group (pain is 3/4 on 0-4 scale) Number of data points for Gabapentin - 81 from the group (pain is 3/4 on 0-4 scale) Number of data points for Other pain relievers - 46 from the group (pain is 3/4 on 0-4 scale) Number of data points for Elavil - 28 from the group (pain is 3/4 on 0-4 scale) Number of data points for Doxepin - 15 from the group (pain is 3/4 on 0-4 scale) Number of data points for CBD with THC - 94 from the group (pain is 3/4 on 0-4 scale) Number of data points for CBD without THC - 88 from the group (pain is 3/4 on 0-4 scale) Number of data points for Opiates - 16 from the group (pain 2 or less) Number of data points for Gabapentin - 29 from the group (pain 2 or less) Number of data points for Other pain relievers - 15 from the group (pain 2 or less) Number of data points for Elavil - 9 from the group (pain 2 or less) Number of data points for Doxepin - 16 from the group (pain 2 or less) Number of data points for CBD with THC - 72 from the group (pain 2 or less) Number of data points for CBD without THC - 63 from the group (pain 2 or less)
Severity from the worst month of illness was used.
Number of data points for Other antihistamines - 15 from the group (food intolerances is 3/4 on 0-4 scale) Number of data points for Hydroxyzine - 24 from the group (food intolerances is 3/4 on 0-4 scale) Number of data points for DAO - 42 from the group (food intolerances is 3/4 on 0-4 scale) Number of data points for Clarinex - 15 from the group (food intolerances is 3/4 on 0-4 scale) Number of data points for Acrivastine - 24 from the group (food intolerances is 3/4 on 0-4 scale) Number of data points for Carnivore diet - 20 from the group (food intolerances is 3/4 on 0-4 scale) Number of data points for Benzodiazepines - 61 from the group (food intolerances is 3/4 on 0-4 scale) Number of data points for LDN - 59 from the group (food intolerances is 3/4 on 0-4 scale) Number of data points for Cromolyn - 19 from the group (food intolerances is 3/4 on 0-4 scale) Number of data points for Low histamine diet - 126 from the group (food intolerances is 3/4 on 0-4 scale) Number of data points for Glutenfree diet - 106 from the group (food intolerances is 3/4 on 0-4 scale) Number of data points for Other antihistamines - 19 from the group (food intolerances 2 or less) Number of data points for Hydroxyzine - 26 from the group (food intolerances 2 or less) Number of data points for DAO - 17 from the group (food intolerances 2 or less) Number of data points for Clarinex - 6 from the group (food intolerances 2 or less) Number of data points for Acrivastine - 26 from the group (food intolerances 2 or less) Number of data points for Carnivore diet - 17 from the group (food intolerances 2 or less) Number of data points for Benzodiazepines - 90 from the group (food intolerances 2 or less) Number of data points for LDN - 96 from the group (food intolerances 2 or less) Number of data points for Cromolyn - 4 from the group (food intolerances 2 or less) Number of data points for Low histamine diet - 92 from the group (food intolerances 2 or less) Number of data points for Glutenfree diet - 99 from the group (food intolerances 2 or less)
POTS = Postural Orthostatic Tachycardia Syndrome
OI = Orthostatic Intolerance
Severity from the worst month of illness was used.
Number of data points for Colchicine - 17 from the group (POTS OI is 3/4 on 0-4 scale) Number of data points for Compression garments - 119 from the group (POTS OI is 3/4 on 0-4 scale) Number of data points for Water and salt - 188 from the group (POTS OI is 3/4 on 0-4 scale) Number of data points for Drinking water - 106 from the group (POTS OI is 3/4 on 0-4 scale) Number of data points for Sleeping with head of bed elevated - 88 from the group (POTS OI is 3/4 on 0-4 scale) Number of data points for Beta blockers - 90 from the group (POTS OI is 3/4 on 0-4 scale) Number of data points for Guanfacine - 14 from the group (POTS OI is 3/4 on 0-4 scale) Number of data points for Colchicine - 17 from the group (POTS OI 2 or less) Number of data points for Compression garments - 56 from the group (POTS OI 2 or less) Number of data points for Water and salt - 104 from the group (POTS OI 2 or less) Number of data points for Drinking water - 56 from the group (POTS OI 2 or less) Number of data points for Sleeping with head of bed elevated - 58 from the group (POTS OI 2 or less) Number of data points for Beta blockers - 57 from the group (POTS OI 2 or less) Number of data points for Guanfacine - 10 from the group (POTS OI 2 or less)
Severity from the worst month of illness was used.
Number of data points for Ivermectin - 89 from the group (cognitive difficulties is 3/4 on 0-4 scale) Number of data points for Fluvoxamine - 19 from the group (cognitive difficulties is 3/4 on 0-4 scale) Number of data points for Benzodiazepines - 94 from the group (cognitive difficulties is 3/4 on 0-4 scale) Number of data points for Prozac - 32 from the group (cognitive difficulties is 3/4 on 0-4 scale) Number of data points for Ivermectin - 51 from the group (cognitive difficulties 2 or less) Number of data points for Fluvoxamine - 7 from the group (cognitive difficulties 2 or less) Number of data points for Benzodiazepines - 55 from the group (cognitive difficulties 2 or less) Number of data points for Prozac - 9 from the group (cognitive difficulties 2 or less)
Severity from the worst month of illness was used.
Number of data points for Benzodiazepines - 100 from the group (sleep issues are 3/4 on 0-4 scale) Number of data points for Ambien - 25 from the group (sleep issues are 3/4 on 0-4 scale) Number of data points for Benzodiazepines - 52 from the group (sleep issues 2 or less) Number of data points for Ambien - 7 from the group (sleep issues 2 or less)
Severity from the worst month of illness was used.
PLEASE NOTE: The sample sizes are VERY SMALL for this analysis. You should assume that the chart below is highly unreliable.
Severity from the worst month of illness was used.
Severity from the worst month of illness was used.
Loratadine (Claritin), fexofenadine (Allegra), cetirizine (Zyrtec, Benadryl Allergy One a Day Relief 🇬🇧), levocetirizine (Xyzal) and acrivastine (Benadryl Allergy Relief 🇬🇧) are H1 blockers that are sold over-the-counter in many countries.
Responders are defined as surveyees who answered either significant or mild improvement. The chart below compares pairings of some popular anti-histamines. Each row represents a group of people who failed a particular treatment/intervention (or reported that the effect was unclear). Each column represents the chances of responding to that particular intervention.
The bracketed numbers (1234) indicate the total number of people who did not respond to the treatment/intervention ('failed').
Zyrtec | Claritin | Allegra | Acrivastine | Pepcid (H2 blocker) | |
---|---|---|---|---|---|
Zyrtec failed | 8.2% (61) | 10.3% (39) | 9.1% (22) | 14.3% (63) | |
Claritin failed | 17.6% (68) | 15.8% (38) | 31.6% (19) | 21.4% (56) | |
Allegra failed | 16.7% (42) | 5.9% (34) | 20.0% (10) | 20.0% (35) | |
Acrivastine failed | 9.1% (22) | 13.3% (15) | 11.1% (9) | 13.3% (15) | |
Pepcid (H2 blocker) failed | 15.6% (64) | 10.2% (49) | 9.7% (31) | 13.3% (15) |
7 diets compared
Low histamine diet | Glutenfree diet | Plant based diet | Vegan diet | Carnivore diet | Keto diet | Anti inflammatory diet | |
---|---|---|---|---|---|---|---|
Low histamine diet failed | 12.8% (47) | 4.0% (25) | 7.1% (14) | 11.1% (9) | 38.1% (21) | 22.2% (27) | |
Glutenfree diet failed | 14.6% (48) | 0.0% (24) | 6.2% (16) | 0.0% (8) | 37.5% (16) | 20.0% (20) | |
Plant based diet failed | 29.4% (34) | 31.4% (35) | 0.0% (22) | 0.0% (7) | 33.3% (12) | 33.3% (18) | |
Vegan diet failed | 27.8% (18) | 37.5% (24) | 4.3% (23) | 16.7% (6) | 57.1% (7) | 62.5% (8) | |
Carnivore diet failed | 20.0% (10) | 27.3% (11) | 22.2% (9) | 28.6% (7) | 0.0% (9) | 42.9% (7) | |
Keto diet failed | 38.1% (21) | 44.4% (18) | 38.5% (13) | 40.0% (5) | 0.0% (9) | 27.3% (11) | |
Anti inflammatory diet failed | 12.5% (24) | 20.0% (20) | 7.7% (13) | 25.0% (4) | 0.0% (4) | 11.1% (9) |
All diets compared
Low histamine diet | Glutenfree diet | Plant based diet | Vegan diet | AIP diet | Wahls protocol | Paleo diet | Carnivore diet | Keto diet | Anti inflammatory diet | Other diet | |
---|---|---|---|---|---|---|---|---|---|---|---|
Low histamine diet failed | 12.8% (47) | 4.0% (25) | 7.1% (14) | 0.0% (8) | 0.0% (2) | 0.0% (2) | 11.1% (9) | 38.1% (21) | 22.2% (27) | 50.0% (6) | |
Glutenfree diet failed | 14.6% (48) | 0.0% (24) | 6.2% (16) | 20.0% (10) | 0.0% (4) | 0.0% (2) | 0.0% (8) | 37.5% (16) | 20.0% (20) | 50.0% (2) | |
Plant based diet failed | 29.4% (34) | 31.4% (35) | 0.0% (22) | 16.7% (6) | 0.0% (2) | 33.3% (3) | 0.0% (7) | 33.3% (12) | 33.3% (18) | 50.0% (6) | |
Vegan diet failed | 27.8% (18) | 37.5% (24) | 4.3% (23) | 16.7% (6) | 0.0% (2) | 25.0% (4) | 16.7% (6) | 57.1% (7) | 62.5% (8) | 75.0% (4) | |
AIP diet failed | 33.3% (12) | 33.3% (12) | 16.7% (6) | 0.0% (5) | 0.0% (2) | 33.3% (3) | 40.0% (5) | 0.0% (4) | 16.7% (6) | 66.7% (3) | |
Wahls protocol failed | 33.3% (3) | 20.0% (5) | 0.0% (2) | 0.0% (2) | 0.0% (2) | 50.0% (2) | 0.0% (1) | 50.0% (2) | 0.0% (1) | N/A | |
Paleo diet failed | 33.3% (3) | 50.0% (4) | 33.3% (3) | 25.0% (4) | 33.3% (3) | 0.0% (1) | 0.0% (3) | 0.0% (2) | 66.7% (3) | 100.0% (2) | |
Carnivore diet failed | 20.0% (10) | 27.3% (11) | 22.2% (9) | 28.6% (7) | 25.0% (4) | 0.0% (1) | 0.0% (3) | 0.0% (9) | 42.9% (7) | 100.0% (2) | |
Keto diet failed | 38.1% (21) | 44.4% (18) | 38.5% (13) | 40.0% (5) | 20.0% (5) | 0.0% (1) | 0.0% (2) | 0.0% (9) | 27.3% (11) | 50.0% (2) | |
Anti inflammatory diet failed | 12.5% (24) | 20.0% (20) | 7.7% (13) | 25.0% (4) | 0.0% (5) | 0.0% (1) | 0.0% (1) | 0.0% (4) | 11.1% (9) | 14.3% (7) | |
Other diet failed | 25.0% (4) | 50.0% (2) | 25.0% (4) | 50.0% (2) | 0.0% (1) | N/A | N/A | N/A | 0.0% (1) | 0.0% (6) |
These surveyees may be reporting slightly lower recovery (than those who reported negative outcomes from intense exericse). (Results may not necessarily be statistically significant.)
Reported improvement or not much benefit/harm from intense exercise: 66 Exercise responders peak sev: 6.1 Exercise responders curr sev: 3.5 Improvement: 2.6 Reported worsening from exercise: 201 Not exercise responders peak sev 7.3 Not exercise responders curr sev 5.1 Improvement: 2.2
What treatments seemed to work well in the non-responders?
Treatment rankings for ivermectin non-responders
Treatments with more than 27 data points | Score | Risk score | # of data points (out of 60 surveyees) | |
---|---|---|---|---|
1 | [Pacing strategies] | 1.13 | 0.00 | 30 |
2 | [Meditation] | 0.97 | 0.00 | 33 |
3 | [Low histamine diet] | 0.94 | 0.00 | 32 |
4 | [LDN] | 0.90 | -0.13 | 30 |
5 | [Avoiding exercise] | 0.76 | -0.14 | 37 |
6 | [Magnesium] | 0.64 | -0.12 | 50 |
7 | [Zyrtec] | 0.55 | -0.12 | 33 |
8 | [Aspirin] | 0.50 | -0.03 | 36 |
9 | [Nattokinase] | 0.46 | -0.02 | 41 |
10 | [Serrapeptase] | 0.44 | 0.00 | 32 |
11 | [Time] | 0.44 | -0.46 | 57 |
12 | [Probiotics prebiotics] | 0.44 | -0.15 | 39 |
13 | [NAC] | 0.43 | -0.11 | 37 |
14 | [Melatonin] | 0.43 | -0.17 | 35 |
15 | [Advil] | 0.36 | -0.03 | 39 |
16 | [Glutathione] | 0.34 | -0.21 | 29 |
17 | [Curcumin] | 0.34 | -0.05 | 44 |
18 | [Vitamin D] | 0.33 | -0.12 | 51 |
19 | [Resveratrol] | 0.32 | -0.07 | 28 |
20 | [Multivitamin] | 0.29 | -0.11 | 28 |
21 | [Intermittent fasting] | 0.28 | -0.14 | 29 |
22 | [Quercetin] | 0.28 | -0.04 | 46 |
23 | [Vitamin C] | 0.27 | -0.07 | 44 |
24 | [CoQ10] | 0.25 | 0.00 | 32 |
25 | [Fish oil etc.] | 0.24 | -0.03 | 37 |
26 | [Zinc] | 0.19 | -0.19 | 43 |
27 | [B vitamins] | 0.11 | -0.15 | 46 |
28 | [Ivermectin] | -0.35 | -0.35 | 60 |
29 | [Tetracyclines, Fluoroquinolones, Penicillins,... | -0.46 | -0.85 | 48 |
30 | [Celexa, Lexapro, Fluvoxamine, Prozac, Paxil, ... | -0.55 | -0.90 | 31 |
31 | [Light exercise] | -1.14 | -1.37 | 43 |
32 | [Intense exercise] | -1.94 | -2.09 | 33 |
Failure is not the same as a non-responder. Worsening/failure is defined as somebody who reported worsening; it does NOT include 'unsure' and 'not much benefit/harm'
Note that the sample sizes are fairly small, so this analysis is likely unreliable.
Data from surveyees who tried both high and low ATA HBOT:
HBOT <=1.5 ATA | HBOT >1.5 ATA | Difference? | |
---|---|---|---|
1 | Mild improvement | Mild improvement | |
2 | Mild improvement | Significant improvement | Mild improvement | Significant improvement |
3 | Mild improvement | Significant improvement | Mild improvement | Significant improvement |
4 | Mild improvement | Mild improvement | |
5 | Mild improvement | Mild improvement | |
6 | Mild improvement | Significant improvement | Mild improvement | Significant improvement |
7 | Not much benefit/harm | Not much benefit/harm | |
8 | Significant improvement | Significant improvement | |
9 | Significant improvement | Significant improvement |
It seems that those who try only low ATA HBOT tend to rate treatments more favorably than people who try only high ATA HBOT.
This bias might even understate the difference in outcomes between high and low ATA HBOT.
Treatments with more than 7 data points | Score | Risk score | # of data points (out of 24 surveyees) | |
---|---|---|---|---|
1 | ['Prayer'] | 1.75 | 0.00 | 8 |
2 | ['Time'] | 1.52 | -0.10 | 21 |
3 | ['HBOT <=1.5 ATA', 'HBOT >1.5 ATA'] | 1.29 | -0.17 | 24 |
4 | ['LDN'] | 1.25 | -0.25 | 16 |
5 | ['Benzodiazepines'] | 1.25 | -0.25 | 8 |
6 | ['Low histamine diet'] | 1.25 | 0.00 | 12 |
7 | ['Meditation'] | 1.12 | 0.00 | 8 |
8 | ['Glutenfree diet'] | 1.11 | 0.00 | 9 |
9 | ['Pacing strategies'] | 1.11 | 0.00 | 9 |
10 | ['Avoiding exercise'] | 1.10 | 0.00 | 10 |
11 | ['Vitamin D'] | 1.06 | -0.06 | 18 |
12 | ['Intermittent fasting'] | 0.91 | 0.00 | 11 |
13 | ['CBT'] | 0.80 | 0.00 | 10 |
14 | ['B vitamins'] | 0.78 | -0.11 | 18 |
15 | ['Water and salt'] | 0.77 | 0.00 | 13 |
16 | ['Magnesium'] | 0.71 | -0.06 | 17 |
17 | ['ALA'] | 0.62 | 0.00 | 8 |
18 | ['Fish oil etc.'] | 0.60 | 0.00 | 15 |
19 | ['Glutathione'] | 0.57 | 0.00 | 14 |
20 | ['Claritin'] | 0.57 | -0.07 | 14 |
21 | ['Serrapeptase'] | 0.56 | -0.33 | 9 |
22 | ['Zyrtec'] | 0.56 | -0.11 | 9 |
23 | ['Tetracyclines', 'Fluoroquinolones', 'Penicil... | 0.54 | -0.38 | 24 |
24 | ['Nattokinase'] | 0.50 | -0.19 | 16 |
25 | ['CoQ10'] | 0.50 | -0.10 | 10 |
26 | ['Zinc'] | 0.50 | -0.08 | 12 |
27 | ['K vitamins'] | 0.50 | -0.10 | 10 |
28 | ['Aspirin'] | 0.47 | -0.07 | 15 |
29 | ['Melatonin'] | 0.45 | -0.36 | 11 |
30 | ['Sleeping with head of bed elevated'] | 0.44 | 0.00 | 9 |
31 | ['CBD with THC'] | 0.40 | -0.30 | 10 |
32 | ['Curcumin'] | 0.38 | -0.06 | 16 |
33 | ['NAC'] | 0.33 | -0.25 | 12 |
34 | ['Acupuncture'] | 0.27 | -0.27 | 11 |
35 | ['Vitamin C'] | 0.27 | -0.20 | 15 |
36 | ['Compression garments'] | 0.25 | 0.00 | 12 |
37 | ['Probiotics prebiotics'] | 0.14 | -0.36 | 14 |
38 | ['Advil'] | 0.12 | -0.12 | 8 |
39 | ['Quercetin'] | 0.09 | -0.09 | 11 |
40 | ['Multivitamin'] | 0.09 | -0.36 | 11 |
41 | ['Pepcid'] | 0.07 | -0.29 | 14 |
42 | ['Celexa', 'Lexapro', 'Fluvoxamine', 'Prozac',... | 0.05 | -0.55 | 20 |
43 | ['Red light therapy'] | 0.00 | -0.20 | 10 |
44 | ['Light exercise'] | 0.00 | -1.07 | 14 |
45 | ['Tylenol'] | -0.12 | -0.12 | 8 |
46 | ['Intense exercise'] | -1.00 | -1.64 | 11 |
Did those who reported positive outcomes from prayer have roughly the same change in severity as those who did not?
-- Change in severity score (-2 to +10, higher is more recovery) -- Significant improvement from prayer 2.39 Mild improvement from prayer 2.31 Not much improvement or worsening 1.83 Tried prayer 2.15 Did not try prayer 2.38
The chart below plots # of successful treatments on the y-axis and the number of non-successful treatments on the x-axis.
Non-successful includes 'effect unclear' and 'Not much benefit/harm'
A histogram plot of the # of succcessful treatments reported
A histogram plot of the # of non-succcessful treatments reported
The chart below plots # of highly successful treatments on the y-axis and the number of other treatments on the x-axis.
The lower number of treatments tried among the lowest (current) severity patients may be partially explained by those patients being less severe (lower peak severity score)...?
Number of treatments tried | |
---|---|
Peak severity score | |
3.0 | 26.960000 |
4.0 | 24.451613 |
5.0 | 28.963636 |
6.0 | 28.888889 |
7.0 | 31.414062 |
8.0 | 33.380435 |
9.0 | 36.606299 |
The same histogram, but only of those who mostly recovered
Among those who mostly recovered (40/500 people), these treatments were rated by some as leading to 'Significant improvement'
Severity/recovery data was available for 500 people
Vaccine injured 270 Long COVID 207 ME/CFS 23 Name: Chronic illness, dtype: int64
The mostly recovered consisted of the following chronic illness types:
Vaccine injured 24 Long COVID 16 Name: Chronic illness, dtype: int64
8.89% of vaccine injured with severity data are mostly recovered. 7.73% of Long COVID with severity data are mostly recovered.
16 responses were dropped (at the beginning of all analysis) as their peak severity score was 2 or less. Please note that this skews the data towards lower recovery rates and lower recovery numbers!
The most important column is the third column, which are the people who rated a treatment highly ('significant improvement') AND were mostly recovered. Anything less than ~1.17% may be worse than random.
The second most important column is the first column (Count), which is the total number of successes. If the count is only 1, then the data may not be very reliable due to the small sample sizes involved.
The 2nd and 4th columns indicate the popularity of all the treatments.
Count | % of surveyees (with recovery data) who tried this | % (of those who tried this) who mostly recovered AND reported significant improvement from this treatment | Number who tried this treatment | |
---|---|---|---|---|
Time | 23 | 89.8 | 5.1 | 449 |
Vitamin D | 3 | 76.2 | 0.8 | 381 |
Magnesium | 4 | 70.8 | 1.1 | 354 |
B vitamins | 4 | 69.0 | 1.2 | 345 |
Light exercise | 3 | 66.2 | 0.9 | 331 |
Vitamin C | 2 | 62.6 | 0.6 | 313 |
Avoiding exercise | 5 | 60.8 | 1.6 | 304 |
Curcumin | 1 | 55.2 | 0.4 | 276 |
Probiotics prebiotics | 4 | 52.6 | 1.5 | 263 |
Water and salt | 3 | 52.4 | 1.1 | 262 |
Fish oil etc. | 0 | 52.2 | 0.0 | 261 |
Zinc | 3 | 51.6 | 1.2 | 258 |
Intense exercise | 3 | 49.8 | 1.2 | 249 |
Advil | 2 | 49.8 | 0.8 | 249 |
Meditation | 3 | 49.2 | 1.2 | 246 |
NAC | 2 | 47.8 | 0.8 | 239 |
Melatonin | 0 | 47.2 | 0.0 | 236 |
Pacing strategies | 3 | 46.8 | 1.3 | 234 |
Quercetin | 1 | 46.6 | 0.4 | 233 |
Aspirin | 4 | 44.0 | 1.8 | 220 |
Multivitamin | 1 | 43.4 | 0.5 | 217 |
Nattokinase | 6 | 42.4 | 2.8 | 212 |
Tylenol | 0 | 42.2 | 0.0 | 211 |
Intermittent fasting | 3 | 42.0 | 1.4 | 210 |
CoQ10 | 1 | 41.6 | 0.5 | 208 |
Low histamine diet | 4 | 40.6 | 2.0 | 203 |
Zyrtec | 1 | 38.0 | 0.5 | 190 |
Glutenfree diet | 3 | 37.2 | 1.6 | 186 |
Massage | 1 | 34.2 | 0.6 | 171 |
Compression garments | 0 | 32.8 | 0.0 | 164 |
Acupuncture | 1 | 32.8 | 0.6 | 164 |
Claritin | 1 | 31.6 | 0.6 | 158 |
Pepcid | 0 | 31.6 | 0.0 | 158 |
Other NSAID | 4 | 31.4 | 2.5 | 157 |
CBD with THC | 0 | 30.0 | 0.0 | 150 |
Drinking water | 1 | 30.0 | 0.7 | 150 |
Prayer | 3 | 29.6 | 2.0 | 148 |
CBT | 0 | 28.8 | 0.0 | 144 |
Glutathione | 0 | 28.4 | 0.0 | 142 |
CBD without THC | 0 | 28.2 | 0.0 | 141 |
LDN | 5 | 28.0 | 3.6 | 140 |
K vitamins | 1 | 27.8 | 0.7 | 139 |
Corticosteroids | 4 | 27.6 | 2.9 | 138 |
Beta blockers | 0 | 27.4 | 0.0 | 137 |
Ashwagandha | 1 | 27.2 | 0.7 | 136 |
Sleeping with head of bed elevated | 0 | 26.8 | 0.0 | 134 |
Benzodiazepines | 1 | 25.8 | 0.8 | 129 |
Graded exercise therapy | 3 | 25.0 | 2.4 | 125 |
Resveratrol | 1 | 24.8 | 0.8 | 124 |
OMAD | 3 | 24.4 | 2.5 | 122 |
Count | % of surveyees (with recovery data) who tried this | % (of those who tried this) who mostly recovered AND reported significant improvement from this treatment | Number who tried this treatment | |
---|---|---|---|---|
Ivermectin | 5 | 24.0 | 4.2 | 120 |
ALA | 0 | 23.8 | 0.0 | 119 |
Serrapeptase | 5 | 22.2 | 4.5 | 111 |
Benadryl | 0 | 22.0 | 0.0 | 110 |
VNS | 2 | 21.4 | 1.9 | 107 |
Lion's mane | 1 | 19.2 | 1.0 | 96 |
Gabapentin | 1 | 19.0 | 1.1 | 95 |
Dandelion | 1 | 18.4 | 1.1 | 92 |
Chiropractic | 1 | 17.8 | 1.1 | 89 |
24-48 hour fasting | 0 | 17.8 | 0.0 | 89 |
Plant based diet | 0 | 17.4 | 0.0 | 87 |
NADH | 0 | 17.0 | 0.0 | 85 |
Red light therapy | 0 | 16.4 | 0.0 | 82 |
Anti inflammatory diet | 1 | 16.2 | 1.2 | 81 |
Allegra | 0 | 15.6 | 0.0 | 78 |
Augmented NAC | 2 | 15.0 | 2.7 | 75 |
Homeopathy | 0 | 12.8 | 0.0 | 64 |
Keto diet | 1 | 12.6 | 1.6 | 63 |
Other muscle relaxers | 0 | 12.4 | 0.0 | 62 |
IV vitamins | 0 | 12.2 | 0.0 | 61 |
Diazepam | 1 | 12.2 | 1.6 | 61 |
Infrared sauna | 0 | 12.2 | 0.0 | 61 |
Nigella sativa capsules | 1 | 11.8 | 1.7 | 59 |
Pine needle tea | 0 | 11.6 | 0.0 | 58 |
Nigella sativa oil | 1 | 11.4 | 1.8 | 57 |
Lexapro | 1 | 11.4 | 1.8 | 57 |
DAO | 1 | 11.4 | 1.8 | 57 |
Wim Hof with cold | 0 | 11.0 | 0.0 | 55 |
EMDR | 1 | 11.0 | 1.8 | 55 |
Other brain retraining | 2 | 10.6 | 3.8 | 53 |
Statins | 2 | 10.6 | 3.8 | 53 |
Oil of oregano | 0 | 10.4 | 0.0 | 52 |
Lumbrokinase | 0 | 10.4 | 0.0 | 52 |
Dry cupping | 0 | 10.4 | 0.0 | 52 |
Opiates | 0 | 10.2 | 0.0 | 51 |
Lavender | 0 | 10.0 | 0.0 | 50 |
Patches | 1 | 10.0 | 2.0 | 50 |
Other pain relievers | 0 | 9.8 | 0.0 | 49 |
Acrivastine | 0 | 9.6 | 0.0 | 48 |
Psychedelic mushrooms | 0 | 9.4 | 0.0 | 47 |
Other diet | 1 | 9.4 | 2.1 | 47 |
Hydroxyzine | 0 | 9.2 | 0.0 | 46 |
Valtrex | 1 | 9.2 | 2.2 | 46 |
Wellbutrin | 0 | 9.2 | 0.0 | 46 |
Montekulast | 0 | 8.8 | 0.0 | 44 |
Antiseizure | 0 | 8.8 | 0.0 | 44 |
Penicillins | 0 | 8.8 | 0.0 | 44 |
Multiday wet fasting | 1 | 8.6 | 2.3 | 43 |
Osteopathy | 0 | 8.6 | 0.0 | 43 |
Tetracyclines | 1 | 8.4 | 2.4 | 42 |
Count | % of surveyees (with recovery data) who tried this | % (of those who tried this) who mostly recovered AND reported significant improvement from this treatment | Number who tried this treatment | |
---|---|---|---|---|
Zeolite | 0 | 8.2 | 0.0 | 41 |
Seroquel | 0 | 8.2 | 0.0 | 41 |
Other TCM | 1 | 8.2 | 2.4 | 41 |
IV vitamin C | 0 | 8.0 | 0.0 | 40 |
Vegan diet | 0 | 7.8 | 0.0 | 39 |
Traditional sauna | 0 | 7.6 | 0.0 | 38 |
Cigarettes | 0 | 7.4 | 0.0 | 37 |
Zoloft | 0 | 7.4 | 0.0 | 37 |
Plaquenil | 1 | 7.4 | 2.7 | 37 |
Effexor | 0 | 7.0 | 0.0 | 35 |
AIP diet | 1 | 7.0 | 2.9 | 35 |
Monolaurin | 0 | 7.0 | 0.0 | 35 |
Paxlovid | 0 | 6.8 | 0.0 | 34 |
Cymbalta | 0 | 6.8 | 0.0 | 34 |
Remeron | 0 | 6.8 | 0.0 | 34 |
Vaping | 1 | 6.6 | 3.0 | 33 |
Activated charcoal | 0 | 6.6 | 0.0 | 33 |
HBOT <=1.5 ATA | 0 | 6.6 | 0.0 | 33 |
Carnivore diet | 1 | 6.4 | 3.1 | 32 |
Elavil | 0 | 6.4 | 0.0 | 32 |
Spermidine | 0 | 6.4 | 0.0 | 32 |
Wim Hof without cold | 1 | 6.2 | 3.2 | 31 |
Prozac | 0 | 6.2 | 0.0 | 31 |
Methylene blue | 1 | 6.2 | 3.2 | 31 |
HBOT >1.5 ATA | 3 | 6.2 | 9.7 | 31 |
Bentonite clay | 0 | 6.2 | 0.0 | 31 |
Ambien | 0 | 6.0 | 0.0 | 30 |
Colchicine | 2 | 5.8 | 6.9 | 29 |
Xyzal | 0 | 5.8 | 0.0 | 29 |
Doxepin | 1 | 5.6 | 3.6 | 28 |
Metformin | 0 | 5.4 | 0.0 | 27 |
Ketotifen | 0 | 5.4 | 0.0 | 27 |
Other antihistamines | 0 | 5.4 | 0.0 | 27 |
Other nicotine | 0 | 5.2 | 0.0 | 26 |
Fluconazole | 0 | 5.2 | 0.0 | 26 |
Guanfacine | 0 | 4.8 | 0.0 | 24 |
St. John's Wort | 1 | 4.6 | 4.3 | 23 |
Aciclovir | 1 | 4.6 | 4.3 | 23 |
Clopidogrel | 2 | 4.4 | 9.1 | 22 |
IV ozone | 0 | 4.4 | 0.0 | 22 |
Fluoroquinolones | 0 | 4.4 | 0.0 | 22 |
Multiday juice fasting | 0 | 4.4 | 0.0 | 22 |
Paleo diet | 1 | 4.2 | 4.8 | 21 |
Fluvoxamine | 0 | 4.2 | 0.0 | 21 |
Cat's claw | 2 | 4.0 | 10.0 | 20 |
Cromolyn | 0 | 4.0 | 0.0 | 20 |
Clarinex | 0 | 4.0 | 0.0 | 20 |
Mestinon | 0 | 4.0 | 0.0 | 20 |
TRT | 1 | 4.0 | 5.0 | 20 |
Nystatin | 0 | 4.0 | 0.0 | 20 |
Count | % of surveyees (with recovery data) who tried this | % (of those who tried this) who mostly recovered AND reported significant improvement from this treatment | Number who tried this treatment | |
---|---|---|---|---|
Other antifungal | 0 | 3.8 | 0.0 | 19 |
Heparin | 0 | 3.6 | 0.0 | 18 |
Pamelor | 1 | 3.4 | 5.9 | 17 |
Abilify | 0 | 3.4 | 0.0 | 17 |
Eliquis | 1 | 3.4 | 5.9 | 17 |
Antibiotic unknown type | 0 | 3.4 | 0.0 | 17 |
Macrolides | 0 | 3.0 | 0.0 | 15 |
DNRS | 0 | 2.8 | 0.0 | 14 |
Chlorine dioxide | 1 | 2.8 | 7.1 | 14 |
Other chelation | 0 | 2.8 | 0.0 | 14 |
Quantum healing | 0 | 2.8 | 0.0 | 14 |
Multiday dry fasting | 1 | 2.8 | 7.1 | 14 |
Rife | 0 | 2.6 | 0.0 | 13 |
Gupta program | 0 | 2.6 | 0.0 | 13 |
NIBS | 0 | 2.6 | 0.0 | 13 |
Celexa | 0 | 2.6 | 0.0 | 13 |
Ayurveda | 0 | 2.4 | 0.0 | 12 |
Maraviroc | 1 | 2.4 | 8.3 | 12 |
Metronidazole | 0 | 2.4 | 0.0 | 12 |
SGB | 0 | 2.2 | 0.0 | 11 |
Wahls protocol | 0 | 2.2 | 0.0 | 11 |
Methotextrate | 0 | 2.2 | 0.0 | 11 |
IVIG | 0 | 2.2 | 0.0 | 11 |
Monoclonals | 0 | 2.0 | 0.0 | 10 |
Clindamycin | 0 | 2.0 | 0.0 | 10 |
Vedicinals9 | 0 | 2.0 | 0.0 | 10 |
Photobiomodulation | 0 | 2.0 | 0.0 | 10 |
Tollovid | 1 | 2.0 | 10.0 | 10 |
DMARD | 0 | 2.0 | 0.0 | 10 |
Canesten | 0 | 2.0 | 0.0 | 10 |
Root wellness | 1 | 1.8 | 11.1 | 9 |
Nigella sativa seed | 0 | 1.8 | 0.0 | 9 |
Other antibiotic | 0 | 1.8 | 0.0 | 9 |
Sulfonamides | 0 | 1.8 | 0.0 | 9 |
Paxil | 0 | 1.8 | 0.0 | 9 |
ASEA Redox | 1 | 1.8 | 11.1 | 9 |
Biologic | 0 | 1.6 | 0.0 | 8 |
Xarelto | 0 | 1.6 | 0.0 | 8 |
Cephalosporins | 0 | 1.6 | 0.0 | 8 |
TWC detox | 0 | 1.4 | 0.0 | 7 |
HELP apheresis | 1 | 1.4 | 14.3 | 7 |
Frequency wand | 0 | 1.4 | 0.0 | 7 |
Red yeast rice | 0 | 1.4 | 0.0 | 7 |
EDTA | 0 | 1.4 | 0.0 | 7 |
Ketoconazole | 0 | 1.2 | 0.0 | 6 |
Nitrofurantoin | 0 | 1.2 | 0.0 | 6 |
Biocidin | 0 | 1.2 | 0.0 | 6 |
Cardio Miracle | 1 | 1.0 | 20.0 | 5 |
Doxylamine | 0 | 1.0 | 0.0 | 5 |
Stem cells | 2 | 1.0 | 40.0 | 5 |
Count | % of surveyees (with recovery data) who tried this | % (of those who tried this) who mostly recovered AND reported significant improvement from this treatment | Number who tried this treatment | |
---|---|---|---|---|
Famciclovir | 1 | 1.0 | 20.0 | 5 |
Alinia | 0 | 0.8 | 0.0 | 4 |
Lightning process | 0 | 0.8 | 0.0 | 4 |
EBOO | 0 | 0.8 | 0.0 | 4 |
Urotherapy | 0 | 0.8 | 0.0 | 4 |
Kangen water | 0 | 0.8 | 0.0 | 4 |
Rapamycin | 0 | 0.6 | 0.0 | 3 |
Molnupiravir | 0 | 0.6 | 0.0 | 3 |
Bilastine | 0 | 0.6 | 0.0 | 3 |
Clomipramine | 0 | 0.6 | 0.0 | 3 |
Sulodexide | 0 | 0.6 | 0.0 | 3 |
Vortioxetine | 0 | 0.6 | 0.0 | 3 |
DTPA | 0 | 0.4 | 0.0 | 2 |
Terbinafine | 0 | 0.4 | 0.0 | 2 |
Immunoadsorption | 0 | 0.4 | 0.0 | 2 |
PLEX | 0 | 0.4 | 0.0 | 2 |
Wet cupping | 0 | 0.4 | 0.0 | 2 |
Valcyte | 0 | 0.4 | 0.0 | 2 |
Ebastine | 0 | 0.4 | 0.0 | 2 |
Favipiravir | 0 | 0.4 | 0.0 | 2 |
Inuspheresis | 0 | 0.4 | 0.0 | 2 |
SCIG | 0 | 0.2 | 0.0 | 1 |
Mizolastine | 0 | 0.2 | 0.0 | 1 |
Amphotericin | 0 | 0.2 | 0.0 | 1 |
HCG | 0 | 0.2 | 0.0 | 1 |
Miconazole | 0 | 0.2 | 0.0 | 1 |
Seldane | 0 | 0.2 | 0.0 | 1 |
Econazole | 0 | 0.2 | 0.0 | 1 |
Astemizole | 0 | 0.2 | 0.0 | 1 |
Quifenadine | 0 | 0.2 | 0.0 | 1 |
Rupatadine | 0 | 0.2 | 0.0 | 1 |
Semprex D | 0 | 0.2 | 0.0 | 1 |
Avacen | 0 | 0.2 | 0.0 | 1 |
Bepotastine | 0 | 0.0 | NaN | 0 |
Aminoglycosides | 0 | 0.0 | NaN | 0 |
Click here for the spreadsheet.
If you just want to see the table (without being able to edit it), see here.
The spreadsheet will let you conveniently sort and filter the data so that you can get a better picture of how treatments stack up.
Please visit https://forum.sickandabandoned.com/t/what-treatments-helped-the-most-some-prelim-patient-experiences-survey-data/351 for that analysis with some commentary.
The most frequently cited treatments were:
The treatments were all over the place.
Here are the top 60 where no patients became mostly recovered. In other words, these are treatments with the most evidence of ineffectiveness.
500 people had valid severity data.
% of surveyees (with recovery data) who tried this | % (of those who tried this) who mostly recovered AND reported significant improvement from this treatment | |
---|---|---|
Fish oil etc. | 52.2 | 0.0 |
Melatonin | 47.2 | 0.0 |
Tylenol | 42.2 | 0.0 |
Compression garments | 32.8 | 0.0 |
Pepcid | 31.6 | 0.0 |
CBD with THC | 30.0 | 0.0 |
CBT | 28.8 | 0.0 |
Glutathione | 28.4 | 0.0 |
CBD without THC | 28.2 | 0.0 |
Beta blockers | 27.4 | 0.0 |
Sleeping with head of bed elevated | 26.8 | 0.0 |
ALA | 23.8 | 0.0 |
Benadryl | 22.0 | 0.0 |
24-48 hour fasting | 17.8 | 0.0 |
Plant based diet | 17.4 | 0.0 |
NADH | 17.0 | 0.0 |
Red light therapy | 16.4 | 0.0 |
Allegra | 15.6 | 0.0 |
Homeopathy | 12.8 | 0.0 |
Other muscle relaxers | 12.4 | 0.0 |
Infrared sauna | 12.2 | 0.0 |
IV vitamins | 12.2 | 0.0 |
Pine needle tea | 11.6 | 0.0 |
Wim Hof with cold | 11.0 | 0.0 |
Oil of oregano | 10.4 | 0.0 |
Lumbrokinase | 10.4 | 0.0 |
Dry cupping | 10.4 | 0.0 |
Opiates | 10.2 | 0.0 |
Lavender | 10.0 | 0.0 |
Other pain relievers | 9.8 | 0.0 |
Acrivastine | 9.6 | 0.0 |
Psychedelic mushrooms | 9.4 | 0.0 |
Wellbutrin | 9.2 | 0.0 |
Hydroxyzine | 9.2 | 0.0 |
Montekulast | 8.8 | 0.0 |
Antiseizure | 8.8 | 0.0 |
Penicillins | 8.8 | 0.0 |
Osteopathy | 8.6 | 0.0 |
Zeolite | 8.2 | 0.0 |
Seroquel | 8.2 | 0.0 |
IV vitamin C | 8.0 | 0.0 |
Vegan diet | 7.8 | 0.0 |
Traditional sauna | 7.6 | 0.0 |
Cigarettes | 7.4 | 0.0 |
Zoloft | 7.4 | 0.0 |
Monolaurin | 7.0 | 0.0 |
Effexor | 7.0 | 0.0 |
Cymbalta | 6.8 | 0.0 |
Remeron | 6.8 | 0.0 |
Paxlovid | 6.8 | 0.0 |
HBOT <=1.5 ATA | 6.6 | 0.0 |
Activated charcoal | 6.6 | 0.0 |
Elavil | 6.4 | 0.0 |
Spermidine | 6.4 | 0.0 |
Prozac | 6.2 | 0.0 |
Bentonite clay | 6.2 | 0.0 |
Ambien | 6.0 | 0.0 |
Xyzal | 5.8 | 0.0 |
Other antihistamines | 5.4 | 0.0 |
Metformin | 5.4 | 0.0 |
'Realists'/'pessimists' are defined as people who reported more than 2 non-successful treatments for every successful treatment.
Number of realists/pessimists: 167 All surveyees: 573 Rankings from realists are shown below:
Hierarchical clustering was used to try to find potential phenotypes of chronic illness. In this situation, it is unlikely that the analysis found a distinct phenotype. In my experience, hierarchical clustering usually spots surveyees who have a different style when answering surveys. Those phenomena tend to drown out any subtle phenotypes, if they exist.
As well, it would be interesting to see if postvax and Long COVID overlap heavily.
Of 573 data points, 480 had valid severity data that could be used for the cluster analysis
The diagram below is a dendrogram. DisplayR.com has an excellent webpage on how to read dendrograms. Visit https://www.displayr.com/what-is-dendrogram/ or https://archive.ph/4PN2f
Symptoms were rated on a subjective scale. -1 = don't have this symptoms. 0 = no suffering. 4 = worst suffering imaginable. Avoidance behaviours (for light/sound sensitivity) are on a scale of 0 to 1, or 0% to 100%. e.g. 44% wore sunglasses indoors.
Number of people in each cluster
0.0 184 1.0 135 2.0 88 3.0 73 Name: Cluster, dtype: int64
Cluster | 0.0 | 1.0 | 2.0 | 3.0 |
---|---|---|---|---|
Employment severity peak | 2.316940 | 2.589552 | 1.954023 | 2.478873 |
Employment severity current | 1.505495 | 2.294574 | 1.223529 | 2.235294 |
Peak pain | 1.896739 | 2.762963 | 0.795455 | 2.780822 |
Peak depression | 1.706522 | 2.370370 | 1.000000 | 2.602740 |
Peak cognitive difficulties | 2.461957 | 3.266667 | 1.988636 | 3.041096 |
Peak sleep issues | 2.293478 | 2.948148 | 1.000000 | 2.863014 |
Peak bleeding disorders | -0.679348 | -0.718519 | -0.784091 | 1.712329 |
Peak clotting disorders | -0.141304 | -0.459259 | -0.272727 | 1.616438 |
Peak POTS OI | 1.521739 | 2.637037 | 0.556818 | 2.753425 |
Peak food intolerances | 1.266304 | 2.340741 | -0.136364 | 1.698630 |
Peak sound sensitivity | 1.358696 | 2.851852 | 0.181818 | 2.369863 |
Peak light sensitivity | 1.244565 | 2.896296 | 0.034091 | 2.232877 |
Peak other symptoms | 2.918478 | 3.066667 | 0.454545 | 3.205479 |
Current pain | 0.815217 | 1.844444 | 0.215909 | 1.958904 |
Current depression | 0.586957 | 1.585185 | 0.431818 | 1.876712 |
Current cognitive difficulties | 1.027174 | 2.400000 | 1.000000 | 2.027397 |
Current sleep issues | 0.891304 | 2.318519 | 0.090909 | 1.835616 |
Current bleeding disorders | -0.809783 | -0.807407 | -0.875000 | 1.109589 |
Current clotting disorders | -0.527174 | -0.622222 | -0.522727 | 0.945205 |
Current POTS OI | 0.402174 | 1.688889 | -0.113636 | 1.561644 |
Current food intolerances | 0.440217 | 1.637037 | -0.340909 | 0.972603 |
Current sound sensitivity | 0.173913 | 1.940741 | -0.363636 | 1.356164 |
Current light sensitivity | 0.103261 | 1.903704 | -0.465909 | 1.342466 |
Current other symptoms | 1.657609 | 2.251852 | -0.204545 | 2.397260 |
Age | 43.469945 | 41.216418 | 44.137931 | 44.944444 |
Sunglasses | 0.220994 | 0.385185 | 0.129412 | 0.333333 |
Avoided outdoors | 0.281768 | 0.622222 | 0.164706 | 0.500000 |
Avoided bright environments | 0.447514 | 0.829630 | 0.211765 | 0.625000 |
No light sensitivity | 0.464088 | 0.125926 | 0.658824 | 0.250000 |
Earpro | 0.318681 | 0.622222 | 0.176471 | 0.383562 |
Avoided loud environments | 0.571429 | 0.844444 | 0.317647 | 0.726027 |
No sound sensitivity | 0.373626 | 0.088889 | 0.611765 | 0.191781 |
One way to describe the clusters would be:
Survey questions were:
"Have you done any of the following due to sensitivity to light?"
"Have you done any of the following due to sensitivity to sound?"
The two high-severity clusters had roughly the same percentage answering the objective questions about avoidance behaviours. However, one of those clusters rated their subjective suffering slightly higher (on average).
The cluster that mainly consists of vaccine injured participants (it may be #3) may reflect surveyees who answer surveys with a particular style rather than a difference in underlying medical condition. (The full analysis is not shown.)
Aside from that cluster, the postvax and Long COVID patients are hard to distinguish based on the survey questions asked. However, this survey was not designed to find differences. There was not a question about loss of smell or taste- a symptom that may be far more common in Long COVID.
Cluster 0
Vaccine injured 97 Long COVID 82 ME/CFS 5 Name: Chronic illness, dtype: int64
Cluster 1
Long COVID 65 Vaccine injured 60 ME/CFS 10 Name: Chronic illness, dtype: int64
Cluster 2
Vaccine injured 46 Long COVID 41 ME/CFS 1 Name: Chronic illness, dtype: int64
Cluster 3
Vaccine injured 60 Long COVID 13 Name: Chronic illness, dtype: int64
This analysis looks at symptoms that are similar to each other than than people who are similar to each other.
I was curious to see if light and sound sensitivity were 2 symptoms characteristic of its own phenotype, as an underyling medical cause (e.g. meningitis) would lead to a distinct phenotype. Perhaps a survey or study designed to look for phenotypes would be able to find distinct phenotypes.
The bleeding and clotting disorders form the most distinct cluster (4, 5, 15, 16 in the dendrogram above). This likely reflects how those surveyees answered the survey as they typically reported BOTH bleeding and too much clotting. It may not reflect underlying medical differences.
Of 24 patients who reported 1 or higher for subjective suffering from clotting disorders, only 2 reported taking a prescription drug thinner (clopidogrel or clopidogrel + heparin). 10 did not try any of the natural anticoag supplements (serra, natto, lumbro).
Symptom followed by which cluster they are grouped into
Peak pain 0 Peak depression 0 Peak cognitive difficulties 0 Peak sleep issues 0 Peak bleeding disorders 1 Peak clotting disorders 1 Peak POTS OI 2 Peak food intolerances 2 Peak sound sensitivity 2 Peak light sensitivity 2 Peak other symptoms 0 Current pain 0 Current depression 0 Current cognitive difficulties 2 Current sleep issues 2 Current bleeding disorders 1 Current clotting disorders 1 Current POTS OI 2 Current food intolerances 2 Current sound sensitivity 2 Current light sensitivity 2 Current other symptoms 0 Name: Cluster, dtype: int64
Treatments sorted from most data points (people who reported data for the treatment) to least. The top 60 are shown. See earlier tables (All 235 treatments surveyed) for a complete list.
Treatments with more than 0 data points | Score | Risk score | # of data points (out of 573 surveyees) | Percentage tried (%) | |
---|---|---|---|---|---|
1 | [Time] | 0.84 | -0.33 | 508 | 88.7 |
2 | [Vitamin D] | 0.54 | -0.05 | 429 | 74.9 |
3 | [Magnesium] | 0.86 | -0.06 | 400 | 69.8 |
4 | [B vitamins] | 0.56 | -0.12 | 388 | 67.7 |
5 | [Light exercise] | -0.42 | -0.94 | 363 | 63.4 |
6 | [Vitamin C] | 0.47 | -0.04 | 351 | 61.3 |
7 | [Avoiding exercise] | 0.99 | -0.13 | 333 | 58.1 |
8 | [Curcumin] | 0.52 | -0.08 | 310 | 54.1 |
9 | [Zinc] | 0.50 | -0.06 | 297 | 51.8 |
10 | [Water and salt] | 1.02 | -0.02 | 294 | 51.3 |
11 | [Probiotics prebiotics] | 0.66 | -0.10 | 293 | 51.1 |
12 | [Fish oil etc.] | 0.49 | -0.02 | 292 | 51.0 |
13 | [Advil] | 0.34 | -0.16 | 279 | 48.7 |
14 | [Meditation] | 0.96 | -0.03 | 273 | 47.6 |
15 | [Intense exercise] | -1.78 | -2.08 | 267 | 46.6 |
16 | [NAC] | 0.56 | -0.13 | 267 | 46.6 |
17 | [Quercetin] | 0.52 | -0.04 | 266 | 46.4 |
18 | [Melatonin] | 0.50 | -0.18 | 262 | 45.7 |
19 | [Pacing strategies] | 1.28 | -0.06 | 260 | 45.4 |
20 | [Aspirin] | 0.40 | -0.11 | 249 | 43.5 |
21 | [Multivitamin] | 0.34 | -0.07 | 247 | 43.1 |
22 | [Nattokinase] | 0.67 | -0.11 | 243 | 42.4 |
23 | [Tylenol] | 0.28 | -0.08 | 240 | 41.9 |
24 | [CoQ10] | 0.52 | -0.04 | 237 | 41.4 |
25 | [Intermittent fasting] | 0.78 | -0.07 | 236 | 41.2 |
26 | [Low histamine diet] | 1.25 | 0.00 | 218 | 38.0 |
27 | [Glutenfree diet] | 1.16 | -0.00 | 206 | 36.0 |
28 | [Zyrtec] | 0.61 | -0.13 | 202 | 35.3 |
29 | [Massage] | 0.63 | -0.25 | 191 | 33.3 |
30 | [Acupuncture] | 0.65 | -0.19 | 182 | 31.8 |
31 | [Other NSAID] | 0.42 | -0.21 | 182 | 31.8 |
32 | [Compression garments] | 0.67 | -0.09 | 177 | 30.9 |
33 | [Pepcid] | 0.46 | -0.23 | 173 | 30.2 |
34 | [Prayer] | 1.25 | -0.01 | 170 | 29.7 |
35 | [Claritin] | 0.51 | -0.11 | 169 | 29.5 |
36 | [CBD with THC] | 0.52 | -0.35 | 168 | 29.3 |
37 | [Drinking water] | 0.92 | 0.00 | 165 | 28.8 |
38 | [Corticosteroids] | 0.45 | -0.50 | 164 | 28.6 |
39 | [Glutathione] | 0.59 | -0.08 | 162 | 28.3 |
40 | [K vitamins] | 0.46 | -0.09 | 160 | 27.9 |
41 | [LDN] | 0.90 | -0.26 | 156 | 27.2 |
42 | [CBT] | 0.54 | -0.10 | 156 | 27.2 |
43 | [CBD without THC] | 0.50 | -0.08 | 155 | 27.1 |
44 | [Benzodiazepines] | 1.13 | -0.12 | 154 | 26.9 |
45 | [Ashwagandha] | 0.35 | -0.19 | 150 | 26.2 |
46 | [Beta blockers] | 0.68 | -0.36 | 149 | 26.0 |
47 | [Sleeping with head of bed elevated] | 0.53 | -0.12 | 148 | 25.8 |
48 | [Ivermectin] | 0.95 | -0.15 | 140 | 24.4 |
49 | [Resveratrol] | 0.56 | -0.03 | 137 | 23.9 |
50 | [OMAD] | 0.51 | -0.22 | 135 | 23.6 |
51 | [ALA] | 0.48 | -0.05 | 132 | 23.0 |
52 | [Graded exercise therapy] | -0.76 | -1.22 | 129 | 22.5 |
53 | [Serrapeptase] | 0.82 | -0.05 | 123 | 21.5 |
54 | [Benadryl] | 0.29 | -0.27 | 120 | 20.9 |
55 | [VNS] | 0.85 | -0.09 | 118 | 20.6 |
56 | [Gabapentin] | 0.06 | -0.55 | 113 | 19.7 |
57 | [Lion's mane] | 0.47 | -0.15 | 113 | 19.7 |
58 | [24-48 hour fasting] | 0.53 | -0.40 | 101 | 17.6 |
59 | [Dandelion] | 0.42 | -0.05 | 100 | 17.5 |
60 | [Chiropractic] | 0.51 | -0.27 | 100 | 17.5 |
Treatments sorted from highest risk score to lowest risk score. May be limited to the 60 riskiest treatments.
Treatments with more than 98 data points | Score | Risk score | # of data points (out of 573 surveyees) | |
---|---|---|---|---|
1 | [Intense exercise] | -1.78 | -2.08 | 267 |
2 | [Graded exercise therapy] | -0.76 | -1.22 | 129 |
3 | [Light exercise] | -0.42 | -0.94 | 363 |
4 | [Remeron, Seroquel, Wellbutrin] | -0.34 | -0.75 | 134 |
5 | [Celexa, Lexapro, Fluvoxamine, Prozac, Paxil, ... | -0.16 | -0.63 | 206 |
6 | [Tetracyclines, Fluoroquinolones, Penicillins,... | 0.20 | -0.56 | 232 |
7 | [Gabapentin] | 0.06 | -0.55 | 113 |
8 | [Corticosteroids] | 0.45 | -0.50 | 164 |
9 | [24-48 hour fasting] | 0.53 | -0.40 | 101 |
10 | [Beta blockers] | 0.68 | -0.36 | 149 |
11 | [CBD with THC] | 0.52 | -0.35 | 168 |
12 | [Time] | 0.84 | -0.33 | 508 |
13 | [Benadryl] | 0.29 | -0.27 | 120 |
14 | [Chiropractic] | 0.51 | -0.27 | 100 |
15 | [LDN] | 0.90 | -0.26 | 156 |
16 | [Amphotericin, Canesten, Econazole, Fluconazol... | 0.53 | -0.25 | 108 |
17 | [Pepcid] | 0.46 | -0.23 | 173 |
18 | [OMAD] | 0.51 | -0.22 | 135 |
19 | [Other NSAID] | 0.42 | -0.21 | 182 |
20 | [Ashwagandha] | 0.35 | -0.19 | 150 |
21 | [Acupuncture] | 0.65 | -0.19 | 182 |
22 | [Melatonin] | 0.50 | -0.18 | 262 |
23 | [Advil] | 0.34 | -0.16 | 279 |
24 | [Lion's mane] | 0.47 | -0.15 | 113 |
25 | [Ivermectin] | 0.95 | -0.15 | 140 |
26 | [Plant based diet, Vegan diet] | 0.73 | -0.14 | 143 |
27 | [Zyrtec] | 0.61 | -0.13 | 202 |
28 | [Avoiding exercise] | 0.99 | -0.13 | 333 |
29 | [NAC] | 0.56 | -0.13 | 267 |
30 | [Benzodiazepines] | 1.13 | -0.12 | 154 |
31 | [Sleeping with head of bed elevated] | 0.53 | -0.12 | 148 |
32 | [B vitamins] | 0.56 | -0.12 | 388 |
33 | [Claritin] | 0.51 | -0.11 | 169 |
34 | [Nattokinase] | 0.67 | -0.11 | 243 |
35 | [Aspirin] | 0.40 | -0.11 | 249 |
36 | [CBT] | 0.54 | -0.10 | 156 |
37 | [Probiotics prebiotics] | 0.66 | -0.10 | 293 |
38 | [K vitamins] | 0.46 | -0.09 | 160 |
39 | [VNS] | 0.85 | -0.09 | 118 |
40 | [Compression garments] | 0.67 | -0.09 | 177 |
41 | [Tylenol] | 0.28 | -0.08 | 240 |
42 | [Curcumin] | 0.52 | -0.08 | 310 |
43 | [Glutathione] | 0.59 | -0.08 | 162 |
44 | [CBD without THC] | 0.50 | -0.08 | 155 |
45 | [Intermittent fasting] | 0.78 | -0.07 | 236 |
46 | [Multivitamin] | 0.34 | -0.07 | 247 |
47 | [Pacing strategies] | 1.28 | -0.06 | 260 |
48 | [Zinc] | 0.50 | -0.06 | 297 |
49 | [Magnesium] | 0.86 | -0.06 | 400 |
50 | [ALA] | 0.48 | -0.05 | 132 |
51 | [Dandelion] | 0.42 | -0.05 | 100 |
52 | [Serrapeptase] | 0.82 | -0.05 | 123 |
53 | [Vitamin D] | 0.54 | -0.05 | 429 |
54 | [CoQ10] | 0.52 | -0.04 | 237 |
55 | [Quercetin] | 0.52 | -0.04 | 266 |
56 | [Vitamin C] | 0.47 | -0.04 | 351 |
57 | [Meditation] | 0.96 | -0.03 | 273 |
58 | [Resveratrol] | 0.56 | -0.03 | 137 |
59 | [Fish oil etc.] | 0.49 | -0.02 | 292 |
60 | [Water and salt] | 1.02 | -0.02 | 294 |