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系统评价心血管疾病随机临床试验中的亚组分析。

A systematic review of subgroup analyses in randomised clinical trials in cardiovascular disease.

机构信息

Institute of Medical Informatics, Statistics and Epidemiology, School of Medicine, Technical University of Munich, Munich, Germany.

Institute of General Practice and Health Services Research, School of Medicine, Technical University of Munich, Munich, Germany.

出版信息

Clin Trials. 2021 Jun;18(3):351-360. doi: 10.1177/1740774520984866. Epub 2021 Jan 21.

Abstract

BACKGROUND

Subgroup analyses are frequently used to assess heterogeneity of treatment effects in randomised clinical trials. Inconsistent, improper and incomplete implementation, reporting and interpretation have been identified as ongoing challenges. Further, subgroup analyses were frequently criticised because of unreliable or potentially misleading results. More recently, recommendations and guidelines have been provided to improve the reporting of data in this regard.

METHODS

This systematic review was based on a literature search within the digital archives of three selected medical journals, and We reviewed articles of randomised clinical trials in the domain of cardiovascular disease which were published in 2015 and 2016. We screened and evaluated the selected articles for the mode of implementation and reporting of subgroup analyses.

RESULTS

We were able to identify a total of 130 eligible publications of randomised clinical trials. In 89/130 (68%) articles, results of at least one subgroup analysis were presented. This was dependent on the considered journal (p < 0.001), the number of included patients (p < 0.001) and the lack of statistical significance of a trial's primary analysis (p < 0.001). The number of reported subgroup analyses ranged from 1 to 101 (median = 13). We were able to comprehend the specification time of reported subgroup analyses for 71/89 (80%) articles, with 55/89 (62%) articles presenting exclusively pre-specified analyses. This information was not always traceable on the basis of provided trial protocols and often did not include the pre-definition of cut-off values for the categorization of subgroups. The use of interaction tests was reported in 84/89 (94%) articles, with 36/89 (40%) articles reporting heterogeneity of the treatment effect for at least one primary or secondary trial outcome. Subgroup analyses were reported more frequently for larger randomised clinical trials, and if primary analyses did not reach statistical significance. Information about the implementation of subgroup analyses was reported most consistently for articles from , since it was also traceable on the basis of provided trial protocols. We were able to comprehend whether subgroup analyses were pre-specified in a majority of the reviewed publications. Even though results of multiple subgroup analyses were reported for most published trials, a corresponding adjustment for multiple testing was rarely considered.

CONCLUSION

Compared to previous reviews in this context, we observed improvements in the reporting of subgroup analyses of cardiovascular randomised clinical trials. Nonetheless, critical shortcomings, such as inconsistent reporting of the implementation and insufficient pre-specification, persist.

摘要

背景

亚组分析常用于评估随机临床试验中治疗效果的异质性。目前仍存在实施、报告和解释不规范和不完整的情况。此外,由于结果不可靠或可能具有误导性,亚组分析经常受到批评。最近,为了改进这方面的数据报告,已经提出了一些建议和指南。

方法

本系统评价基于对三个选定医学期刊的数字档案中的文献检索,我们对 2015 年和 2016 年发表的心血管疾病领域的随机临床试验文章进行了筛选和评估。我们对所选文章的亚组分析的实施和报告模式进行了筛选和评估。

结果

我们共确定了 130 篇符合条件的随机临床试验出版物。在 89/130(68%)篇文章中,至少报告了一项亚组分析的结果。这取决于所考虑的期刊(p<0.001)、纳入患者的数量(p<0.001)和试验主要分析的统计显著性缺乏(p<0.001)。报告的亚组分析数量从 1 到 101 个不等(中位数=13)。我们能够理解 71/89(80%)篇文章中报告的亚组分析的指定时间,其中 55/89(62%)篇文章仅呈现预先指定的分析。这一信息在提供的试验方案中往往无法追踪,而且通常不包括亚组分类的截断值的预定义。在 89/89(94%)篇文章中报告了交互检验的使用情况,其中 36/89(40%)篇文章报告了至少一项主要或次要试验结果的治疗效果存在异质性。对于较大的随机临床试验,如果主要分析没有达到统计学意义,则更频繁地报告亚组分析。对于来自 的文章,有关亚组分析实施的信息报告得最为一致,因为它也可以根据提供的试验方案进行追踪。我们能够理解大多数综述文献中,亚组分析是否预先指定。尽管大多数发表的试验都报告了多项亚组分析的结果,但很少考虑对多次检验进行相应调整。

结论

与该领域的先前综述相比,我们观察到心血管随机临床试验中亚组分析报告的改进。然而,仍然存在实施情况报告不一致和预先指定不充分等关键缺陷。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2b/8174013/857c075ce3d8/10.1177_1740774520984866-fig1.jpg

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