心血管试验中联合干预、其他方法学因素和治疗估计报告不足:一项荟萃流行病学研究

Jonas Bührer MD , Cinzia Del Giovane PhD , Baris Gencer MD, MPH , Luise Adam MD , Christina Lyko MD , Martin Feller MD, MSc , Bruno R. Da Costa PhD , Drahomir Aujesky MD, MSc , Douglas C. Bauer MD , Nicolas Rodondi MD, MAS , Elisavet Moutzouri MD, PhD
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引用次数: 0

摘要

目的评估在最近的心血管试验中,联合干预的报告不足如何影响估计的治疗效果。方法从2011年1月1日至2021年7月1日,系统检索Medline/Ebase在5种高影响力期刊上发表的评估药物干预对临床心血管结果的试验。由2名评审员评估了关于联合干预、致盲、因预期干预(低干预与高干预/一些问题)、资金(非行业干预与行业干预)、设计(优缺点干预与非劣缺点干预)偏差而导致的偏倚风险的充分报告与不充分报告的信息,以及结果。使用元回归随机效应分析评估与效应大小的相关性,用比值比(ROR)表示。>;1.0表明,方法因素指向较低质量的试验报告了较大的治疗估计值。结果共纳入164项试验。在164项试验中,124项(74%)没有充分报告联合干预;164项试验中有89项(54%)没有提供有关联合干预的信息,164项试验(43%)中有70项(43%)因盲法不足而存在偏倚风险。此外,164人中有86人(53%)因偏离预期干预措施而有偏倚的风险。在164项试验中,144项(88%)由行业资助。联合干预报告不足的试验对主要终点的治疗估计值较大(ROR,1.08;95%CI,1.01-1.15;I2=0%)。未发现与盲法(ROR,0.97;95%CI,0.91-1.03;I2=66%)、预期干预措施偏差(ROR:0.98;95%CI:0.92-1.04;I2=0%)或资金(ROR为1.01;95%CI为0.93-1.09;I2=0%)的结果有显著关联。结论我们得出的结论是,联合干预报告不足的试验显示出更大的治疗效果估计,这可能表明高估了治疗效益。试用注册Prospero标识符:CRD42017072522
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Inadequate Reporting of Cointerventions, Other Methodological Factors, and Treatment Estimates in Cardiovascular Trials: A Meta-Epidemiological Study

Inadequate Reporting of Cointerventions, Other Methodological Factors, and Treatment Estimates in Cardiovascular Trials: A Meta-Epidemiological Study

Inadequate Reporting of Cointerventions, Other Methodological Factors, and Treatment Estimates in Cardiovascular Trials: A Meta-Epidemiological Study

Objective

To assess how inadequate reporting of cointerventions influences estimated treatment effects in recent cardiovascular trials.

Methods

Medline/Embase were systematically searched from January 1, 2011 to July 1, 2021 for trials evaluating pharmacologic interventions on clinical cardiovascular outcomes published in 5 high-impact journals. Information on adequate vs inadequate reporting of cointerventions, blinding, risk of bias due to deviations of intended interventions (low vs high/some concerns), funding (nonindustry vs industry), design (superiority vs noninferiority), and results were assessed by 2 reviewers. The association with effect sizes was assessed using meta-regression random-effect analysis, expressed as ratios of odds ratios (ROR). RORs of >1.0 indicated that trials with the methodological factor pointing to lower quality report larger treatment estimates.

Results

In total, 164 trials were included. Of the 164 trials, 124 (74%) did not adequately report cointerventions; 89 of the 164 trials (54%) provided no information regarding cointerventions, and 70 of the 164 (43%) were at risk of bias due to inadequate blinding. Moreover, 86 of the 164 (53%) were at risk of bias due to deviation of intended interventions. Of the 164 trials, 144 (88%) were funded by the industries. Trials with inadequate reporting of cointerventions had larger treatment estimates for the primary end point (ROR, 1.08; 95% CI, 1.01-1.15; I2=0%). No significant association with results for blinding (ROR, 0.97; 95% CI, 0.91-1.03; I2=66%), deviation of intended interventions (ROR, 0.98; 95% CI, 0.92-1.04; I2=0%), or funding (ROR, 1.01; 95% CI, 0.93-1.09; I2=0%) was found.

Conclusion

We conclude that trials with inadequate reporting of cointerventions showed larger treatment effect estimates, potentially indicating overestimation of therapeutic benefit.

Trial Registration

Prospero Identifier: CRD42017072522

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来源期刊
Mayo Clinic proceedings. Innovations, quality & outcomes
Mayo Clinic proceedings. Innovations, quality & outcomes Surgery, Critical Care and Intensive Care Medicine, Public Health and Health Policy
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