A meta-epidemiological study to examine the association between bias and treatment effects in neonatal trials

Liza Bialy, Ben Vandermeer, Thierry Lacaze-Masmonteil, Donna M. Dryden, Lisa Hartling
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引用次数: 25

Abstract

Background:

Randomized controlled trials are considered the gold standard for evidence on therapeutic interventions; however, they are susceptible to bias. The objectives of this observational study were to describe the methodological quality of neonatal randomized controlled trials and quantify the bias related to specific methodological and study-level characteristics.

Methods:

Twenty-five systematic reviews yielding 208 neonatal trials were included. Two independent reviewers assessed risk of bias (RoB) on seven domains consisting of nine items. For each domain, meta-analyses with at least one high/unclear and one low risk study were included in the analysis. For the primary outcome within each meta-analysis a ratio of odds ratios with a 95% confidence interval was generated. The ratio of odds ratios for each meta-analysis were combined using meta-analytic techniques with inverse-variance weighting and a random effects model to obtain a summary ratio of odds ratio.

Results:

None of the studies had an overall low RoB. Most studies had a low RoB for the domain of incomplete outcome data (89%), while 63%, 55% and 46% of trials had low RoB for sequence generation, other sources of bias, and blinding of outcome assessors, respectively. For all other domains (allocation concealment, blinding of parents and investigators and selective outcome reporting), the majority of trials were assessed as unclear. Selective outcome reporting was rated as unclear RoB for 55% and high for 42% of studies. The only domain that showed a statistically significant association with the treatment effect was selective outcome reporting: trials at unclear/high risk of bias for this domain significantly overestimated the treatment effects compared with those assessed at low risk of bias (ROR = 1.87, 95% confidence interval: 1.26–2.78).

Conclusions:

This observational study of a sample of neonatal trials showed that most were at high risk of bias, indicating that there is room for improvement in the design, conduct and reporting of neonatal trials to ensure valid results for the most clinically important outcomes. We did not find an association between most risk of bias domains and effect estimates; however, we found that randomized controlled trials at high risk for selective outcome reporting were associated with overestimates of treatment benefits. These results need to be confirmed in larger samples.

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一项荟萃流行病学研究,旨在检查新生儿试验中偏倚与治疗效果之间的关系
背景:随机对照试验被认为是治疗干预证据的金标准;然而,他们很容易受到偏见的影响。本观察性研究的目的是描述新生儿随机对照试验的方法学质量,并量化与特定方法学和研究水平特征相关的偏倚。方法:纳入25项系统综述,共208项新生儿试验。两名独立审稿人评估了七个领域包括九个项目的偏倚风险(RoB)。对于每个领域,至少包含一项高/不清楚风险研究和一项低风险研究的荟萃分析被纳入分析。对于每个荟萃分析中的主要结果,产生具有95%置信区间的比值比。各荟萃分析的优势比采用反方差加权的荟萃分析技术和随机效应模型进行组合,得到优势比的汇总比。结果:没有一项研究的总体RoB较低。大多数研究在不完整结果数据领域的RoB较低(89%),而分别有63%、55%和46%的试验在序列生成、其他偏倚来源和结果评估者的盲化方面的RoB较低。对于所有其他领域(分配隐藏,家长和研究者的盲法和选择性结果报告),大多数试验被评估为不明确。55%的选择性结局报告被评为不明确的罗伯,42%的研究被评为高罗伯。唯一显示与治疗效果有统计学显著关联的领域是选择性结局报告:与低偏倚风险评估相比,该领域偏倚不明确/高风险的试验显著高估了治疗效果(ROR = 1.87, 95%置信区间:1.26-2.78)。结论:这项对新生儿试验样本的观察性研究显示,大多数试验存在高偏倚风险,这表明新生儿试验的设计、实施和报告都有改进的空间,以确保最重要的临床结果的有效。我们没有发现大多数偏倚风险域和效应估计之间存在关联;然而,我们发现选择性结果报告高风险的随机对照试验与治疗益处的高估有关。这些结果需要在更大的样本中得到证实。
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