Top
Main
 
All Outcomes
 
RCT vs. Obs.
 
Feedback
Home
c19early.org COVID-19 treatment researchAzvudineAzvudine (more..)
Melatonin Meta
Metformin Meta
Antihistamines Meta
Azvudine Meta Molnupiravir Meta
Bromhexine Meta
Budesonide Meta
Colchicine Meta Nigella Sativa Meta
Conv. Plasma Meta Nitazoxanide Meta
Curcumin Meta PPIs Meta
Famotidine Meta Paxlovid Meta
Favipiravir Meta Quercetin Meta
Fluvoxamine Meta Remdesivir Meta
Hydroxychlor.. Meta Thermotherapy Meta
Ivermectin Meta

Loading...
More

Supplementary Data — Azvudine for COVID-19: real-time meta analysis of 26 studies

@CovidAnalysis, November 2024, Version 27V27
 
0 0.25 0.5 0.75 1 1.25 1.5 1.75 2+ Chen -12% 1.12 [0.05-23.9] recov. time 66 (n) 41 (n) Improvement, RR [CI] Treatment Control Chen 32% 0.68 [0.47-0.99] viral+ 166 (n) 41 (n) Han (PSM) 37% 0.63 [0.40-1.00] death 428 (n) 428 (n) Han (PSM) 3% 0.97 [0.83-1.14] no improv. 428 (n) 428 (n) Yang 91% 0.09 [0.01-1.62] death 0/317 6/487 Yang (PSW) 75% 0.25 [0.06-0.98] hosp. 317 (n) 487 (n) Yang (PSW) 16% 0.84 [0.65-1.09] no recov. 317 (n) 487 (n) Wang 20% 0.80 [0.46-1.40] death 128 (n) 55 (n) Wang 3% 0.97 [0.58-1.61] progression 128 (n) 55 (n) Jin -1% 1.01 [0.91-1.12] recov. time 33 (n) 33 (n) Wu (PSM) 81% 0.19 [0.07-0.50] death 90 (n) 90 (n) Wu 57% 0.43 [0.25-0.74] death 106 (n) 245 (n) Shen (PSM) 74% 0.26 [0.07-0.94] death 3/226 10/226 Shen (PSM) 91% 0.09 [0.01-1.63] ventilation 0/226 5/226 Shen (PSM) 75% 0.25 [0.03-2.22] ICU 1/226 4/226 Shen (PSM) 57% 0.43 [0.18-0.99] progression 8/226 17/226 Chen (PSM) 6% 0.94 [0.61-1.43] death 29/99 31/99 Chen (PSM) 63% 0.37 [0.18-0.77] death 99 (n) 99 (n) Sun 54% 0.46 [0.15-1.34] death 5/245 9/245 Sun 0% 1.00 [0.14-7.04] ventilation 2/245 2/245 Sun -100% 2.00 [0.18-21.9] ICU 2/245 1/245 Sun 38% 0.62 [0.34-1.12] oxygen 16/245 26/245 Sun 48% 0.52 [0.30-0.90] progression 17/245 31/245 Zong (PSM) 62% 0.38 [0.23-0.62] death 195 (n) 390 (n) Shao 56% 0.44 [0.24-0.79] death 177 (n) 509 (n) Dian (PSM) 64% 0.36 [0.12-1.13] death 4/228 11/228 OT​1 Dian (PSM) 67% 0.33 [0.07-1.63] ventilation 2/228 6/228 OT​1 Dian (PSM) 0% 1.00 [0.06-15.9] ICU 1/228 1/228 OT​1 Dian (PSM) 48% 0.52 [0.29-0.92] progression 16/228 31/228 OT​1 Dian (PSM) 44% 0.56 [0.30-1.02] progression 15/228 27/228 OT​1 Zhou 22% 0.78 [0.56-1.09] death 37/131 69/191 Wei -0% 1.00 [0.68-1.47] death 63/461 36/264 OT​1 Wei 28% 0.72 [0.54-0.98] ventilation 77/461 61/264 OT​1 Wei 55% 0.45 [0.20-1.02] ICU 11/461 14/264 OT​1 Wei 22% 0.78 [0.60-1.01] progression 98/461 72/264 OT​1 de Souza (DB RCT) 27% 0.73 [0.17-3.15] ICU 3/91 4/88 de Souza (DB RCT) 42% 0.58 [0.14-2.36] no disch. 3/91 5/88 de Souza (DB RCT) 82% 0.18 [0.05-0.71] no recov. 91 (n) 88 (n) de Souza (DB RCT) 13% 0.87 [0.77-0.99] viral time 91 (n) 88 (n) Liu 24% 0.76 [0.42-1.37] progression 12/126 56/446 Li (PSM) 29% 0.71 [0.52-0.97] death 1,103 (n) 1,103 (n) Peng -13% 1.13 [0.32-3.99] death 42 (n) 124 (n) Li 50% 0.50 [0.10-2.58] ICU 2/42 4/42 Li 11% 0.89 [0.73-1.09] hosp. time 42 (n) 42 (n) Li 50% 0.50 [0.27-0.94] viral+ 42 (n) 42 (n) Li 32% 0.68 [0.41-1.12] viral+ 15/42 22/42 Zhong (PSW) 35% 0.65 [0.42-1.00] death 1,490 (n) 1,373 (n) Zhong (PSW) 52% 0.48 [0.31-0.75] death 1,490 (n) 1,373 (n) Zhong (PSW) 87% 0.13 [0.06-0.25] death 1,490 (n) 1,373 (n) Liu (PSM) 45% 0.55 [0.15-1.96] progression 148 (all patients) Lv -42% 1.42 [0.39-5.15] death 2/11 40/313 Zhang -32% 1.32 [0.89-1.97] death 49/303 37/303 Zhang -62% 1.62 [0.82-3.17] ventilation 21/303 13/303 Zhang -7% 1.07 [0.66-1.75] ICU 30/303 28/303 Zhang 9% 0.91 [0.83-1.00] hosp. time 303 (n) 303 (n) Zhang 19% 0.81 [0.71-0.92] hosp. time 165 (n) 181 (n) Xu (PSM) 75% 0.25 [0.08-0.81] death 132 (n) 132 (n) Xu (PSM) 63% 0.37 [0.16-0.84] progression 132 (n) 132 (n) Ren (PSM) 32% 0.68 [0.60-0.78] death 5,735 (n) 5,735 (n) Ren (PSM) 12% 0.88 [0.80-0.98] progression 5,735 (n) 5,735 (n) Zhang 43% 0.57 [0.35-0.95] progression 28/165 13/44 Zhang 14% 0.86 [0.75-0.97] viral time 165 (n) 44 (n) Azvudine COVID-19 outcomes c19early.org November 2024 1 OT: comparison with other treatment Favors azvudine Favors control
Figure S1. All outcomes.
Loading..
Figure S2. Comparison of results for RCTs versus observational studies. For COVID-19 treatments, there is no significant difference between the results of RCTs and observational studies. Observational studies do not systematically over or underestimate efficacy. For high-cost treatments, there is a non-significant trend towards RCTs showing greater efficacy.
Please send us corrections, updates, or comments. c19early involves the extraction of 100,000+ datapoints from thousands of papers. Community updates help ensure high accuracy. Treatments and other interventions are complementary. All practical, effective, and safe means should be used based on risk/benefit analysis. No treatment or intervention is 100% available and effective for all current and future variants. We do not provide medical advice. Before taking any medication, consult a qualified physician who can provide personalized advice and details of risks and benefits based on your medical history and situation. FLCCC and WCH provide treatment protocols.
  or use drag and drop   
Submit