Strength of evidence supporting cancer drug approvals in China between 2017 and 2021: a retrospective analysis

Yichen Zhang, Dingyi Chen, Mengyuan Fu, Luwen Shi, Huseyin Naci, Anita K Wagner, Joseph S Ross, Xiaodong Guan
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引用次数: 0

Abstract

Background

Well designed pivotal clinical trials can provide robust evidence for the market authorisation of new cancer drugs, whereas lower-quality clinical evidence leads to uncertainty about drug benefits and harms. We aimed to investigate the strength of evidence supporting new cancer drug indications approved in China from 2017 to 2021.

Methods

In this retrospective analysis, we searched publicly available data from the National Medical Products Administration website to identify pivotal pre-approval efficacy trials supporting all original and supplemental cancer drug indications approved in China from Jan 1, 2017, to Dec 31, 2021. We included small molecules and biologics, and excluded traditional Chinese medicines, prophylactic vaccines, and generic or biosimilar versions of previously approved drugs. We collected trial protocols and publications from ClinicalTrials.gov, PubMed, and the China National Knowledge Infrastructure database. The primary outcome was the strength of the supporting pivotal studies, as measured by study design (randomised or single-arm) and quality. For study quality, we evaluated the ability of single-arm trials to minimise bias, measured via the adoption of external control arm and adjusted confounders, and the risk of bias in randomised controlled trials (RCTs), evaluated with the revised Cochrane tool for risk-of-bias assessment. We also used ratio of hazard ratios (RHR) to quantify differences in effect size in RCTs with different risks of bias.

Findings

We found 77 novel cancer drugs for 86 original and 62 supplemental indications that were approved in China during the study dates, based on data from 205 pivotal studies. 44 (30%) indications were supported by single-arm trials only and 104 (70%) were supported by at least one RCT. Of the 54 pivotal single-arm trials with regulatory review documents, six (11%) used aggregated data from earlier trials as external controls, without adjustment for confounders. Of the 128 pivotal RCTs with published results, 47 (37%) were assessed as having some concern and 48 (38%) as having a high risk of bias. Overall, 149 (82%) of 182 pivotal trials that were assessable for quality had limitations in bias control. RCTs with some concern or high risk of bias in the randomisation process had smaller effect sizes (RHR 0·678 [95% CI 0·532–0·864]), and those with some concern or high risk of bias in missing outcome data had larger effect sizes (1·114 [1·004–1·237]), compared with RCTs with low risk of bias in these domains.

Interpretation

Four-fifths of assessable pivotal studies supporting new cancer indication approvals in China from 2017 to 2021 had weaknesses in design, conduct, or reporting that introduced uncertainty to the estimation of treatment effects. To ensure the validity of drug efficacy data and reduce uncertainty, stakeholders should strengthen and implement a high-quality standard on the design, conduct, analysis, and reporting of studies supporting regulatory approval of new therapies.

Funding

National Natural Science Foundation of China.
2017年至2021年中国癌症药物批准的证据强度:回顾性分析
设计良好的关键临床试验可以为新的抗癌药物的市场授权提供有力的证据,而低质量的临床证据导致药物利弊的不确定性。我们的目的是调查支持2017年至2021年在中国批准的新癌症药物适应症的证据强度。在这项回顾性分析中,我们检索了国家药品监督管理局网站上的公开数据,以确定2017年1月1日至2021年12月31日期间在中国批准的所有原始和补充癌症药物适应症的关键预批准疗效试验。我们纳入了小分子和生物制剂,不包括中药、预防性疫苗和先前批准药物的仿制药或生物仿制药。我们从ClinicalTrials.gov、PubMed和中国国家知识基础设施数据库收集试验方案和出版物。主要结局是支持性关键研究的强度,通过研究设计(随机或单臂)和质量来衡量。在研究质量方面,我们评估了单臂试验最小化偏倚的能力,通过采用外部对照试验和调整混杂因素来衡量,以及随机对照试验(rct)的偏倚风险,使用修订后的Cochrane偏倚风险评估工具进行评估。我们还使用风险比(RHR)来量化不同偏倚风险的随机对照试验中效应大小的差异。基于205项关键研究的数据,我们发现了77种新型抗癌药物,用于86种原始适应症和62种补充适应症,这些适应症在研究期间在中国获得批准。44例(30%)适应症仅得到单臂试验的支持,104例(70%)得到至少一项随机对照试验的支持。在54项具有监管审查文件的关键单臂试验中,6项(11%)使用早期试验的汇总数据作为外部对照,未对混杂因素进行调整。在128项已发表结果的关键随机对照试验中,47项(37%)被评估为存在一定的担忧,48项(38%)被评估为具有高偏倚风险。总的来说,182个可评估质量的关键试验中有149个(82%)在偏倚控制方面存在局限性。在随机化过程中存在一定偏倚风险或存在较高偏倚风险的rct,其效应量较小(RHR为0.678 [95% CI为0.532 - 0.864]),而在缺失结局数据中存在一定偏倚风险或存在较高偏倚风险的rct,其效应量较大(1.114[1.004 - 1.237])。2017年至2021年,中国支持新癌症适应症批准的可评估关键研究中,有五分之四在设计、实施或报告方面存在缺陷,这给治疗效果的估计带来了不确定性。为了确保药物疗效数据的有效性并减少不确定性,利益相关者应加强和实施高质量的设计、实施、分析和报告标准,以支持监管部门批准新疗法。国家自然科学基金。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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