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临床研究中的统计学争议:方案、公开的临床试验注册库和出版物中主要结局指标的比较:以肿瘤学试验为例。

Statistical controversies in clinical research: comparison of primary outcomes in protocols, public clinical-trial registries and publications: the example of oncology trials.

机构信息

Department of Epidemiology, Columbia University Mailman School of Public Health, New York, USA.

METHODS Team, Epidemiology and Statistics Sorbonne Paris Cité Research Center (INSERM 1153), Paris, France.

出版信息

Ann Oncol. 2017 Apr 1;28(4):688-695. doi: 10.1093/annonc/mdw682.

Abstract

BACKGROUND

Protocols are often unavailable to peer-reviewers and readers. To detect outcome reporting bias (ORB), readers usually have to resort to publicly available descriptions of study design such as public clinical trial registries. We compared primary outcomes in protocols, ClinicalTrials.gov and publications of oncology trials and evaluated the use of ClinicalTrials.gov as compared with protocols in detecting discrepancies between planned and published outcomes.

METHOD

We searched for phase III oncology trials registered in ClinicalTrials.gov and published in the Journal of Clinical Oncology and New England Journal of Medicine between January 2014 and June 2015. We extracted primary outcomes reported in the protocol, ClinicalTrials.gov and the publication. First, we assessed the quality of primary outcome descriptions by using a published framework. Second, we evaluated modifications of primary outcomes between each source. Finally, we evaluated the agreement, specificity and sensitivity of detecting modifications between planned and published outcomes by using protocols or ClinicalTrials.gov.

RESULTS

We included 65 trials, with 81 primary outcomes common among the 3 sources. The proportion of primary outcomes reporting all items from the framework was 73%, 22%, and 75% for protocols, ClinicalTrials.gov and publications, respectively. Eight (12%) trials presented a discrepancy between primary outcomes reported in the protocol and in the publication. Twelve (18.5%) trials presented a discrepancy between primary outcomes registered at ClinicalTrials.gov and in publications. We found a moderate agreement in detecting discrepant reporting of outcomes by using protocols or ClinicalTrials.gov [κ = 0.53, 95% confidence interval (0.25-0.81)]. Using ClinicalTrials.gov to detect discrepant reporting of outcomes showed high specificity (89.5%) but lacked sensitivity (75%) as compared with use of protocols.

CONCLUSION

In oncology trials, primary outcome descriptions in ClinicalTrials.gov are often of low quality and may not reflect what is in the protocol, thus limiting the detection of modifications between planned and published outcomes.

摘要

背景

协议通常无法供同行评审员和读者查阅。为了检测结局报告偏倚(outcome reporting bias,ORB),读者通常不得不参考已公开的研究设计描述,如公共临床试验注册处。我们比较了肿瘤学试验方案、ClinicalTrials.gov 和出版物中的主要结局,并评估了与方案相比,ClinicalTrials.gov 在检测计划结局和发表结局之间差异的作用。

方法

我们检索了 2014 年 1 月至 2015 年 6 月期间在 ClinicalTrials.gov 注册并发表在《临床肿瘤学杂志》和《新英格兰医学杂志》上的 III 期肿瘤学试验。我们提取了方案、ClinicalTrials.gov 和出版物中报告的主要结局。首先,我们使用已发表的框架评估了主要结局描述的质量。其次,我们评估了每个来源之间主要结局的修改。最后,我们使用方案或 ClinicalTrials.gov 评估了检测计划和发表结局之间修改的一致性、特异性和敏感性。

结果

我们纳入了 65 项试验,3 个来源中有 81 个主要结局是共同的。报告框架所有项目的主要结局比例分别为方案 73%、ClinicalTrials.gov 22%和出版物 75%。8 项(12%)试验方案和出版物报告的主要结局存在差异。12 项(18.5%)试验ClinicalTrials.gov 注册和出版物报告的主要结局存在差异。我们发现使用方案或 ClinicalTrials.gov 检测结局报告差异的一致性中等[κ=0.53,95%置信区间(0.25-0.81)]。与使用方案相比,使用 ClinicalTrials.gov 检测结局报告差异具有较高的特异性(89.5%),但敏感性较低(75%)。

结论

在肿瘤学试验中,ClinicalTrials.gov 中的主要结局描述质量往往较低,可能无法反映方案中的内容,从而限制了检测计划结局和发表结局之间的差异。

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