Concordance between target trial emulation and randomised controlled trials: systematic review and meta-analysis

一致性 医学 置信区间 仿真 随机对照试验 皮尔逊积矩相关系数 临床试验 平均差 标杆管理 相关性 物理疗法 荟萃分析 一致相关系数 相关系数 不利影响 统计 子群分析 梅德林 内科学 显著性差异 医学物理学 样本量测定
作者
C H Wang,Dongfeng Tang,Peter; id_orcid 0000-0003-4136-3070 von Dadelszen,Chengsheng Ju,Lu Liu,Yanzhong Wang,Laura A. Magee
出处
期刊: 卷期号:393: e086810-e086810 被引量:6
标识
DOI:10.1136/bmj-2025-086810
摘要

Abstract Objectives To assess the concordance of results between paired target trial emulations and their benchmarking randomised controlled trials and to explore determinants of emulation success. Design Systematic review and meta-analysis. Data sources Medline, EMBASE, Scopus, PsycINFO, and Web of Science (2010 to 2025). Study selection Observational studies that explicitly aimed to emulate target randomised controlled trials of a health intervention were included. Data extraction Data were extracted on study domain, target population, intervention, comparator, and main outcomes for each emulation and corresponding randomised controlled trial. Main outcome measures For 21 predefined emulation design features, concordance was assessed using Pearson correlation coefficients, standardised difference agreement, and ratio of ratios, with subgroup and regression analyses of study characteristics and concordance. Results Among 106 target trial emulation-randomised controlled trial pairs, the Pearson correlation coefficient was 0.58 (95% confidence interval (CI) 0.43 to 0.69), standardised difference agreement was 79% (84/106), and summary ratio of ratios was 0.97 (95% CI 0.92 to 1.03; I 2 =42%). In 62 pairs with closer emulation of trial design, a higher level of agreement was observed, with a Pearson correlation coefficient of 0.83 (0.73 to 0.89) and standardised difference agreement of 87% (54/62). In subgroup analysis, trial emulations tended to systematically underestimate treatment effects from randomised controlled trials for specific outcomes related to venous thromboembolism and major adverse cardiovascular events, while overestimating those for respiratory outcomes, with pooled ratio of ratios of 0.76 (0.58 to 1.00; I 2 =40%), 0.91 (0.85 to 0.98; I 2 =35%), and 1.20 (1.03 to 1.40; I 2 =40%), respectively. Moreover, emulations based on claims data tended to underestimate the treatment effects (ratio of ratios 0.89, 0.81 to 0.98; I 2 =39%). In exploratory univariate regression analyses, poorer target trial emulation-randomised controlled trial concordance was associated with emulation designs with imbalanced baseline population characteristics, delayed treatment effect, and lower outcome emulation quality. Conclusions Current target trial emulations achieve moderate concordance when replicating their corresponding randomised controlled trials. Concordance could be improved by better emulation design, including better baseline and outcome emulation and leveraging multisource linked databases. Systematic review registration PROSPERO CRD42024619811.
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