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2017年至2021年期间支持中国癌症药物获批的证据强度:一项回顾性分析。

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

作者信息

Zhang Yichen, Chen Dingyi, Fu Mengyuan, Shi Luwen, Naci Huseyin, Wagner Anita K, Ross Joseph S, Guan Xiaodong

机构信息

Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, China.

International Research Centre for Medicinal Administration, Peking University, Beijing, China; Section of General Medicine, Department of Medicine, Yale School of Medicine, New Haven, CT, USA.

出版信息

Lancet Oncol. 2025 Sep;26(9):1252-1260. doi: 10.1016/S1470-2045(25)00329-8. Epub 2025 Aug 6.

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.

摘要

背景

设计良好的关键临床试验可为新癌症药物的上市许可提供有力证据,而质量较低的临床证据会导致药物利弊的不确定性。我们旨在调查支持2017年至2021年在中国获批的新癌症药物适应症的证据强度。

方法

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,以确定支持2017年1月1日至2021年12月31日在中国获批的所有原始和补充癌症药物适应症的关键批准前疗效试验。我们纳入了小分子药物和生物制剂,排除了中药、预防性疫苗以及先前获批药物的仿制药或生物类似药。我们从美国国立医学图书馆临床试验数据库、PubMed和中国知网数据库收集了试验方案和出版物。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。对于研究质量,我们评估了单臂试验通过采用外部对照臂和调整混杂因素来最小化偏倚的能力,以及通过修订的Cochrane偏倚风险评估工具评估的随机对照试验(RCT)中的偏倚风险。我们还使用风险比(RHR)来量化不同偏倚风险的RCT中效应大小的差异。

结果

根据205项关键研究的数据,我们发现研究期间在中国获批的用于86个原始适应症和62个补充适应症的77种新型癌症药物。44个(30%)适应症仅由单臂试验支持,104个(70%)由至少一项RCT支持。在54项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项有发表结果的关键RCT中,47项(37%)被评估为存在一些问题,48项(38%)被评估为存在高偏倚风险。总体而言,182项可评估质量的关键试验中有149项(82%)在偏倚控制方面存在局限性。在随机化过程中存在一些问题或高偏倚风险的RCT的效应大小较小(RHR 0.678 [95% CI 0.532 - 0.864]),而在缺失结局数据方面存在一些问题或高偏倚风险的RCT的效应大小较大(1.114 [1.004 - 1.237]),与在这些领域中偏倚风险较低的RCT相比。

解读

2017年至2021年在中国支持新癌症适应症获批的可评估关键研究中,五分之四在设计、实施或报告方面存在弱点,这给治疗效果的估计带来了不确定性。为确保药物疗效数据的有效性并减少不确定性,利益相关者应加强并实施关于支持新疗法监管批准的研究的设计、实施、分析和报告的高质量标准。

资助

中国国家自然科学基金。

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