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The influence of study characteristics on reporting of subgroup analyses in randomised controlled trials: systematic review

机译:研究特征对随机对照试验中亚组分析报告的影响:系统评价

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摘要

>Objective To investigate the impact of industry funding on reporting of subgroup analyses in randomised controlled trials.>Design Systematic review.>Data sources Medline.>Study selection Randomised controlled trials published in 118 core clinical journals (defined by the National Library of Medicine) in 2007. 1140 study reports in a 1:1 ratio by high (five general medicine journals with largest number of total citations in 2007) versus lower impact journals, were randomly sampled. Two reviewers, independently and in duplicate, used standardised, piloted forms to screen study reports for eligibility and to extract data. They also used explicit criteria to determine whether a randomised controlled trial reported subgroup analyses. Logistic regression was used to examine the association of prespecified study characteristics with reporting versus not reporting of subgroup analyses.>Results 469 randomised controlled trials were included, of which 207 (44%) reported subgroup analyses. High impact journals (adjusted odds ratio 2.64, 95% confidence interval 1.62 to 4.33), non-surgical (versus surgical) trials (2.10, 1.26 to 3.50), and larger sample size (3.38, 1.64 to 6.99) were associated with more frequent reporting of subgroup analyses. The strength of association between trial funding and reporting of subgroups differed in trials with and without statistically significant primary outcomes (interaction P=0.02). In trials without statistically significant results for the primary outcome, industry funded trials were more likely to report subgroup analyses (2.29, 1.30 to 4.72) than non-industry funded trials. This was not true for trials with a statistically significant primary outcome (0.79, 0.46 to 1.36). Industry funded trials were associated with less frequent prespecification of subgroup hypotheses (31.3% v 38.0%, adjusted odds ratio 0.49, 0.26 to 0.94), and less use of the interaction test for analyses of subgroup effects (41.4% v 49.1%, 0.52, 0.28 to 0.97) than non-industry funded trials.>Conclusion Industry funded randomised controlled trials, in the absence of statistically significant primary outcomes, are more likely to report subgroup analyses than non-industry funded trials. Industry funded trials less frequently prespecify subgroup hypotheses and less frequently test for interaction than non-industry funded trials. Subgroup analyses from industry funded trials with negative results for the primary outcome should be viewed with caution.
机译:>目的在随机对照试验中调查行业资金对亚组分析报告的影响。>设计系统评价。>数据来源 Medline。>研究选择:2007年在118种核心临床期刊(由美国国家医学图书馆定​​义)上发表的随机对照试验。1140项研究报告按1:1的比例被高(5种普通医学期刊的引用率最高) 2007年)与低影响期刊进行了随机抽样。两名审稿人(独立且一式两份)使用标准化的先导表格筛选研究报告的资格并提取数据。他们还使用明确的标准来确定随机对照试验是否报告了亚组分析。使用Logistic回归分析预先指定的研究特征与亚组分析的报告与未报告之间的关联。>结果包括469项随机对照试验,其中207项(44%)报告了亚组分析。高影响力期刊(调整后的优势比为2.64,95%置信区间为1.62至4.33),非手术(相对于手术)试验(2.10、1.26至3.50)和较大的样本量(3.38、1.64至6.99)与更频繁的患者相关亚组分析报告。在有或没有统计学上显着的主要结果的试验中,试验资金与亚组报告之间的关联强度有所不同(相互作用P = 0.02)。在没有主要结果统计上显着结果的试验中,与非工业试验相比,工业试验更可能报告亚组分析(2.29、1.30至4.72)。对于具有统计学显着性主要结果的试验(0.79,0.46至1.36),情况并非如此。行业资助的试验与亚组假设的预规范化频率较低相关(31.3%v 38.0%,调整后的优势比为0.49,0.26至0.94),并且较少使用相互作用检验分析亚组效应(41.4%v 49.1%,0.52,相对于非工业研究,为0.28至0.97)。>结论在无统计学意义上主要结果的情况下,工业研究的随机对照试验比非工业研究更有可能报告亚组分析。与非行业资助的试验相比,行业资助的试验较少指定子组假设,并且较少进行交互性测试。应谨慎对待来自行业资助试验的亚组分析,其主要结果为阴性。

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