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. 2021 Sep 29;9:722458. doi: 10.3389/fpubh.2021.722458

Table 2.

Meta-analysis on the efficacy of hydroxychloroquine on COVID-19 patients published in peer-reviewed journals.

References k/N Main results Heterogeneity analysis Publication bias analysis
Ayele Mega et al. (27) 20/6,782 HCQ group did not differed on the rate of virologic cure (OR = 0.78; 95% CI [0.39–1.56]) or the risk of mortality (OR = 1.26; 95% CI [0.66–2.39]) compared to control. Some analysis revealed high heterogeneity (up to I2 = 95%). Subgroup analysis of observational vs. RCTs studies. Cochrane risk of bias tool for RCTs. Newcastle-Ottawa Quality Assessment scale (NOS) for observational studies. Subgroup analysis with low biased studies.
Bignardi et al. (28) 12/7,629 HCQ (with or without AZ) was not associated with mortality (RR = 1.09, [0.98–1.20]). Moderate heterogeneity (I2 ≤ 54.6%). Subgroup analysis based on sensitivy analysis. Egger test did not revealed sign of publication bias (p > 0.05).
Choudhuri et al. (29) 14/12,455 HCQ did not affect mortality compared to control group (RR = 1.003, [0.983–1.022]). Low to high heterogeneity (up to I2 = 97.9%). No subgroup analysis. Two authors independently evaluated within-study bias.
Das et al. (30) 7/726 HCQ did not affect the virological cure except after day 5 (OR = 9.33, [1.51–57.65]). Null (I2 = 0%) to high heterogeneity (I2 = 96%) but small set of comparisons (k = 2). Cochrane handbook to assess biased of RCTs (2 independent authors) and NOS for observational studies. ROBINS-I tool for non-randomised trials.
Ebina-Shibuya et al. (31) 8/2,063 HCQ was not associated with mortality (OR = 1.05, [0.53–2.09]). I2 varies between 0 (adverse event), 31% (all cause death), 57% (time to viral clearance) up to 74% (for viral clearance at 7 days). Subgroup analysis on study design (RCTs vs. observational). Cochrane Risk of Bias tool for RCTs.
Elavarasi et al. (32) 15/10,659 No significant reduction in mortality in HCQ group (RR = 0.98, [0.66–1.46]), fever duration (mean difference – 0.54 days) or clinical deterioration (RR = 0.90, [0.47–1.71]). High heterogeneity for mortatliy and clinical deterioration (I2 = 87%), virological clearance (I2 = 80%), time to fever remission (I2 = 72%). Subgroup analysis of RCTs vs Cohort studies. Cochrane Risk of Bias Tool for RCTs/Newcastle Ottawa Scale revealed significant bias without additional analysis.
Elsawah et al. (33) 6/609 No significant effect on viral clearance, clinical progressions, or mortality (p's > 0.10). Significant improvement on radiological progression (risk difference −0.20 [−0.36, −0.03]). Low (I2 = 0%) to high heterogeneity (I2 = 94%) without subgroup analysis. Cochrane Risk of Bias Tool (2 independent authors). Sensitivity analysis after removing the low-quality studies.
Kashour et al. (34) 21/20,979 No effect of HCQ on mortality (OR = 1.05, [0.96–1.15]) and small increased mortality with HCQ/AZ combination on a subset of studies (OR = 1.32, [1.00–1.75]). No heterogeneity for the HCQ group and moderate for the HCQ/AZ comparison (I2 = 68.1%). Sensitivy analysis excluded studies with high risk of bias. Neither funnel plot nor Egger's regression test revealed signs of publication bias (p = 0.276)
Fiolet et al. (26) 17/11,932 No difference in mortality for all studies or RCT (OR = 0.83 and 1.09). I2 = 84% among non-RCTs with null heterogeneity for RCTs. Funnel plot, Begg's and Egger's tests.
Ghazy et al. (35) 14/12,821 No difference between standard care en HCQ group (RR = 0.99, [0.61–1.59]). Mortality higher in HCQ/AZ comparison (RR = 1.8, [1.19–2.27]). High heterogeneity was observed in different analysis (0% < I2 <98%). Subgroup analysis no revealed significant effect (e.g., mortality HCQ/AZ, RR = 2.23, [1.70–2.91]). Publication bias assed by funnel plot.
Hussain et al. (36) 6/381 The risk of mortality in HCQ treated individuals is on average 2.5 times greater than in non-HCQ individuals (95% CI [1.07–6.03]). For moderate to mild symptoms, the rate of improvement was 1.2 higher compared to the control group (95% CI [0.77–1.89]). These studies were perfectly homogeneous (I22 = 0). Marginal asymmetry on funnel plot.
Hong et al. (37) 14/24,780 No effet of HCQ alone or in combination on mortality (OR = 0.95, [0.72–1.26]). Substantial heterogeneity in all analysis (71% ≤ I2 ≤ 93%). Subgroup analysis of HCQ alone without effect (OR = 0.90, [0.60–1.34]). Publication bias visible on funnel plot. Comparisons results with and without biased studies (no significant differences).
Lewis et al. (38) 4/4,921 HCQ group were not at fewer risks of developing COVID-19 (RR = 0.82, [0.65–1.04]), hospitalization (RR = 0.72, [0.34–1.50]) or mortality (RR = 3.26, [0.13–79.74]) compared to control but increased the risk of adverse events (RR = 2.76, [1.38–5.55]). Statistical heterogeneity was assessed using the χ2 and I2 statistics (either 0 or 95%). Subgroup analysis based on (1) location contact with COVID-19, (2) dose of HCQ, and (3) pre- vs. post-exposure prophylaxis. No heterogeinty available for subgroups. Funnel plot was not assessed giving the small number of studies.
Million et al. (8) 20/105,040 HCQ effective on cough, duration of fever clinical cure death and viral shedding (OR = 0.19, 0.11, 0.21, 0.32, and 0.43). Q-test for the all set of studies (Q = 51.8, p < 0.001). I2 ≥ 75% and significant Q-test for subset of studies when k > 2 studies (except for deaths, I2 = 0%, p = 0.071). No subset analysis based on heterogeneity. None.
Patel et al. (39) 6/2,908 No difference between HCQ and control group on mortality (OR = 1.25, [0.65, 2.38]). Higher mortality in HCQ/AZ group compared to control (OR = 2.34, [1.63–3.34]). There was significant heterogeneity in mortality outcome (I2 = 80%) for HCQ. Subgroup analysis based on sensitivity analysis. For the HCQ/AZ groups, there was perfect homogeneity (I2 = 0%). Funnel plot was asymmetrical. Subgroup analysis based on homogeneous studies.
Pathak et al. (40) 7/4,984 No difference in outcome with/without hydroxychloroquine (OR = 1.11, [0.72, 1.69]). Moderate heterogeneity (32% ≤ I2 ≤ 44%). No subgroup analysis. Funnel Plot and Egger regression asymmetry test (although not available in the paper).
Putman et al. (41) 45/6693 HCQ use was not significantly associated with mortality (HR = 1.41, [0.83, 2.42]). Low heterogeneity (I2 = 0–32%) but small set of studies (k = 2 or 3). Newcastle-Ottawa Scale for cohort studies and the Risk of Bias 2.0 tool for randomized controlled trials; case series assumed to be high risk by default.
Sarma et al. (9) 7/1,358 No differences on viral cure (OR = 2.37, [0.13–44.53]), death/clinical worsening (OR = 1.37, [1.37–21.97]) or safety (OR = 2.19, [0.59–8.18]). Heterogeneity varies from null (for safety issues) to high (I2 = 72%, for virological cure). No subset analysis (except for the inclusion/exclusion of Gautret et al. [22]). Cochrane/ROBINS-I/Newcastle Ottawa Scale (3 researchers).
Shamshirian et al. (42) 37/45,913 No difference on mortality in HCQ group (RR = 0.86, [0.71–1.03]) or HCQ/AZ comparison (RR = 1.28, [0.76–2.14]). High heterogeneity (I2 = 87–90%). Meta-regressions indicated significant effect of age (p < 0.001). Moderate publication bias for mortality based on Egger's test (p = 0.02).
Singh et al. (43) 7/746 No benefits of HCQ on viral clearance (RR, 1.05; 95% CI, 0.79 to 1.38; p = 0.74). Significantly more deaths in the HCQ group compared to the control group (RR, 2.17; 95% 1.32 to 3.57; p = 0.002). Moderate heterogeneity in the clearance analysis (I2 = 61.7%, p = 0.07) and none in the death analysis (I2 = 0.0%, p = 0.43). No subset analysis based on heterogeneity. Trim and fill adjustment, rank correlation, and Egger's tests.
Ullah et al. (44) 12/3,912 Higher mortality (OR = 2.23, [1.58–3.13]) and net adverse events (OR = 4.59, [1.73–12.20]) in HCQ group compared to control. Moderate to high heterogeneity (I2 = 54–94%) without subgroup analysis. Funnel plot revealed minimal publication bias.
Yang et al. (45) 9/4,112 HCQ-azithromycin combination increased mortality in COVID-19 patients (OR = 2.34;, [1.63–3.36]) though it was also associated with benefits on viral clearance in patients (OR = 27.18, [1.29–574.32]). HCQ-alone did not reveal significant changes in mortality rate, clinical progression, viral clearance, and cardiac QT prolongation. Null to high heterogeneity (I2 = 84%). Subsequent subgroup analysis showed that HCQ treatment could recuded mortality and severe illness in severely infected COVID-19 patients (OR = 0.27, [0.13–0.58]). Funnel plot analysis did not reveal obvious publication bias. Possible bias due to lack of demographic and clinical data.
Zang et al. (46) 7/851 No difference in illness duration between the HCQ group and the standard treatment group (RR = 0.66, [0.18–2.43]). Death was higher in HCQ group compared to standard (RR = 1.92, [1.26–2.93]). Moderate heterogeneity was observed (41.2% ≤ I2 ≤ 72.1%) without subgroup analysis. Cochrane Risk of Bias Tool for RCTs evaluated quality of studies (2 reviewers). Newcastle Ottawa Scale for observational studies and Egger test.

To date, 24 meta-analyses were published on April 11th, 2021. This table only described peer-reviewed meta-analyses evaluating HCQ efficacy on COVID-19 patients. We reported the number of studies (k) and participants (N) after exclusion/inclusion criteria.