COVID-19 studies:  C19 studies: C19:  IvermectinIVM Vitamin DV.D HC QHC Q Vitamin CV.C ZincZn PVP-IPVP-I FLVFLV REGNR2 LY-CoVLY RemdesivirRMD
HCQ study #108 of 258
8/4 Late treatment study
Kamran et al., medRxiv, doi:10.1101/2020.07.30.20165365 (Preprint)
Clearing the fog: Is HCQ effective in reducing COVID-19 progression: A randomized controlled trial
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Study of 349 low-risk hospitalized patients with 151 non-consenting or ineligible patients used as controls. SOC included zinc, vitamin C and vitamin D. A statistically significant improvement in PCR negativity is shown at day 7 with HCQ treatment, 52.1% (HCQ) versus 35.7% (control), p=0.001, but no statistically significant difference at day 14, or in progression. Patients were relatively young and there was no mortality. Only 3% of patients had any disease progression and all patients recovered, so there is little if any room for treatment benefit. Progression among higher-risk patients with comorbidities was lower with treatment (12.9% versus 28.6%, p=0.3, very few cases).
Despite the title, this is not an RCT since patients self-selected the arm, or were chosen based on allergies/contraindications. The treatment group had about twice the number of patients with comorbidities. Treatment delay is unknown - it was recorded but not reported in the paper.
Viral load was not measured. As with other studies, PCR may detect non-replicable viral nucleic acid, this is more likely at day 14. Details on the test accuracy are not provided, authors note that RT-PCR sensitivity ranges from 34-80%.

Kamran et al., 8/4/2020, prospective, Pakistan, South Asia, preprint, 10 authors.
risk of disease progression, 5.0% lower, RR 0.95, p = 1.00, treatment 11 of 349 (3.2%), control 5 of 151 (3.3%).
risk of disease progression, 54.8% lower, RR 0.45, p = 0.30, treatment 4 of 31 (12.9%), control 2 of 7 (28.6%), with comorbidities.
risk of viral+ at day 7, 25.5% lower, RR 0.74, p = 0.001, treatment 349, control 151.
risk of viral+ at day 14, 10.0% higher, RR 1.10, p = 0.52, treatment 349, control 151.

Effect extraction follows pre-specified rules prioritizing more serious outcomes. For an individual study the most serious outcome may have a smaller number of events and lower statistical signficance, however this provides the strongest evidence for the most serious outcomes when combining the results of many trials.
Details of all 258 studies    Meta analysis
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