RTI Health Solutions, Av. Diagonal, 605, 9-1, 08028, Barcelona, Spain.
CAUSALab. Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Eur J Epidemiol. 2022 Aug;37(8):789-796. doi: 10.1007/s10654-022-00891-4. Epub 2022 Aug 9.
Recruitment into randomized trials of hydroxychloroquine (HCQ) for prevention of COVID-19 has been adversely affected by a widespread conviction that HCQ is not effective for prevention. In the absence of an updated systematic review, we conducted a meta-analysis of randomized trials that study the effectiveness of HCQ to prevent COVID-19.
A search of PubMed, medRxiv, and clinicaltrials.gov combined with expert consultation found 11 completed randomized trials: 7 pre-exposure prophylaxis trials and 4 post-exposure prophylaxis trials. We obtained or calculated the risk ratio of COVID-19 diagnosis for assignment to HCQ versus no HCQ (either placebo or usual care) for each trial, and then pooled the risk ratio estimates.
The pooled risk ratio estimate of the pre-exposure prophylaxis trials was 0.72 (95% CI: 0.58-0.90) when using either a fixed effect or a standard random effects approach, and 0.72 (95% CI: 0.55-0.95) when using a conservative modification of the Hartung-Knapp random effects approach. The corresponding estimates for the post-exposure prophylaxis trials were 0.91 (95% CI: 0.72-1.16) and 0.91 (95% CI: 0.62-1.35). All trials found a similar rate of serious adverse effects in the HCQ and no HCQ groups.
A benefit of HCQ as prophylaxis for COVID-19 cannot be ruled out based on the available evidence from randomized trials. However, the "not statistically significant" findings from early prophylaxis trials were widely interpreted as definite evidence of lack of effectiveness of HCQ. This interpretation disrupted the timely completion of the remaining trials and thus the generation of precise estimates for pandemic management before the development of vaccines.
由于广泛认为羟氯喹(HCQ)对预防 COVID-19 无效,因此招募 HCQ 用于预防 COVID-19 的随机试验受到了不利影响。在没有更新的系统评价的情况下,我们对研究 HCQ 预防 COVID-19 效果的随机试验进行了荟萃分析。
通过对 PubMed、medRxiv 和 clinicaltrials.gov 的搜索以及专家咨询,共发现 11 项已完成的随机试验:7 项是暴露前预防试验,4 项是暴露后预防试验。我们获得或计算了每个试验中 HCQ 与无 HCQ(安慰剂或常规治疗)分配的 COVID-19 诊断的风险比,然后汇总了风险比估计值。
使用固定效应或标准随机效应方法时,暴露前预防试验的汇总风险比估计值为 0.72(95%CI:0.58-0.90),使用 Hartung-Knapp 随机效应方法的保守修正时为 0.72(95%CI:0.55-0.95)。暴露后预防试验的相应估计值分别为 0.91(95%CI:0.72-1.16)和 0.91(95%CI:0.62-1.35)。所有试验都发现 HCQ 组和无 HCQ 组的严重不良事件发生率相似。
根据随机试验的现有证据,不能排除 HCQ 作为 COVID-19 预防措施的益处。然而,早期预防试验的“无统计学意义”发现被广泛解释为 HCQ 无效的明确证据。这种解释打乱了其余试验的及时完成,从而在疫苗开发之前为大流行管理生成了精确的估计值。