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Empirical evidence of bias in treatment effect estimates in controlled trials with different interventions and outcomes: meta-epidemiological study

机译:在具有不同干预措施和结果的对照试验中治疗效果评估存在偏倚的经验证据:元流行病学研究

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摘要

>Objective To examine whether the association of inadequate or unclear allocation concealment and lack of blinding with biased estimates of intervention effects varies with the nature of the intervention or outcome.>Design Combined analysis of data from three meta-epidemiological studies based on collections of meta-analyses.>Data sources 146 meta-analyses including 1346 trials examining a wide range of interventions and outcomes.>Main outcome measures Ratios of odds ratios quantifying the degree of bias associated with inadequate or unclear allocation concealment, and lack of blinding, for trials with different types of intervention and outcome. A ratio of odds ratios <1 implies that inadequately concealed or non-blinded trials exaggerate intervention effect estimates.>Results In trials with subjective outcomes effect estimates were exaggerated when there was inadequate or unclear allocation concealment (ratio of odds ratios 0.69 (95% CI 0.59 to 0.82)) or lack of blinding (0.75 (0.61 to 0.93)). In contrast, there was little evidence of bias in trials with objective outcomes: ratios of odds ratios 0.91 (0.80 to 1.03) for inadequate or unclear allocation concealment and 1.01 (0.92 to 1.10) for lack of blinding. There was little evidence for a difference between trials of drug and non-drug interventions. Except for trials with all cause mortality as the outcome, the magnitude of bias varied between meta-analyses.>Conclusions The average bias associated with defects in the conduct of randomised trials varies with the type of outcome. Systematic reviewers should routinely assess the risk of bias in the results of trials, and should report meta-analyses restricted to trials at low risk of bias either as the primary analysis or in conjunction with less restrictive analyses.
机译:>目的:要检查分配隐蔽性不足或不清楚以及盲目性不足与干预效果的偏向估计之间的关系是否随干预或结果的性质而变化。>设计来自3项基于荟萃分析的荟萃流行病学研究的数据。>数据来源 146项荟萃分析,包括1346项检查了广泛干预措施和结果的试验。>主要成果指标对于采用不同类型的干预措施和结果的试验,比值比比量化了与分配隐患不足或不清楚以及盲目性不足相关的偏见程度。优势比比率<1表示隐藏或未盲目的试验不足会夸大干预效果估计值。>结果在主观结果的试验中,当分配隐藏不充分或不清楚时效果估计会放大(优势比比率为0.69(95%CI为0.59至0.82)或无盲点(0.75(0.61至0.93))。相反,几乎没有证据表明在具有客观结果的试验中存在偏见:分配不足或不清楚的比值比为0.91(0.80至1.03),而没有盲法的比值比为1.01(0.92至1.10)。几乎没有证据表明药物干预和非药物干预的试验之间存在差异。除以所有原因导致的死亡率为结果的试验外,荟萃分析之间的偏倚幅度也有所不同。>结论。与随机试验的缺陷相关的平均偏倚随结果类型而异。系统的评审员应常规评估试验结果中存在偏倚的风险,并应将限于偏倚风险低的试验的荟萃分析作为主要分析或限制性较小的分析报告。

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