Lundh Andreas, Lexchin Joel, Mintzes Barbara, Schroll Jeppe B, Bero Lisa
Center for Evidence-Based Medicine, Odense University Hospital and University of Southern Denmark, Sdr. Boulevard 29, Entrance 50 (Videncentret), Odense, Denmark, 5000.
School of Health Policy and Management, York University, 121 Walmer Rd, Toronto, ON, Canada, M5R 2X8.
Cochrane Database Syst Rev. 2017 Feb 16;2(2):MR000033. doi: 10.1002/14651858.MR000033.pub3.
Clinical research affecting how doctors practice medicine is increasingly sponsored by companies that make drugs and medical devices. Previous systematic reviews have found that pharmaceutical-industry sponsored studies are more often favorable to the sponsor's product compared with studies with other sources of sponsorship. A similar association between sponsorship and outcomes have been found for device studies, but the body of evidence is not as strong as for sponsorship of drug studies. This review is an update of a previous Cochrane review and includes empirical studies on the association between sponsorship and research outcome.
To investigate whether industry sponsored drug and device studies have more favorable outcomes and differ in risk of bias, compared with studies having other sources of sponsorship.
In this update we searched MEDLINE (2010 to February 2015), Embase (2010 to February 2015), the Cochrane Methodology Register (2015, Issue 2) and Web of Science (June 2015). In addition, we searched reference lists of included papers, previous systematic reviews and author files.
Cross-sectional studies, cohort studies, systematic reviews and meta-analyses that quantitatively compared primary research studies of drugs or medical devices sponsored by industry with studies with other sources of sponsorship. We had no language restrictions.
Two assessors screened abstracts and identified and included relevant papers. Two assessors extracted data, and we contacted authors of included papers for additional unpublished data. Outcomes included favorable results, favorable conclusions, effect size, risk of bias and whether the conclusions agreed with the study results. Two assessors assessed risk of bias of included papers. We calculated pooled risk ratios (RR) for dichotomous data (with 95% confidence intervals (CIs)).
Twenty-seven new papers were included in this update and in total the review contains 75 included papers. Industry sponsored studies more often had favorable efficacy results, RR: 1.27 (95% CI: 1.17 to 1.37) (25 papers) (moderate quality evidence), similar harms results RR: 1.37 (95% CI: 0.64 to 2.93) (four papers) (very low quality evidence) and more often favorable conclusions RR: 1.34 (95% CI: 1.19 to 1.51) (29 papers) (low quality evidence) compared with non-industry sponsored studies. Nineteen papers reported on sponsorship and efficacy effect size, but could not be pooled due to differences in their reporting of data and the results were heterogeneous. We did not find a difference between drug and device studies in the association between sponsorship and conclusions (test for interaction, P = 0.98) (four papers). Comparing industry and non-industry sponsored studies, we did not find a difference in risk of bias from sequence generation, allocation concealment, follow-up and selective outcome reporting. However, industry sponsored studies more often had low risk of bias from blinding, RR: 1.25 (95% CI: 1.05 to 1.50) (13 papers), compared with non-industry sponsored studies. In industry sponsored studies, there was less agreement between the results and the conclusions than in non-industry sponsored studies, RR: 0.83 (95% CI: 0.70 to 0.98) (six papers).
AUTHORS' CONCLUSIONS: Sponsorship of drug and device studies by the manufacturing company leads to more favorable efficacy results and conclusions than sponsorship by other sources. Our analyses suggest the existence of an industry bias that cannot be explained by standard 'Risk of bias' assessments.
影响医生行医方式的临床研究越来越多地由制药和医疗器械公司赞助。以往的系统评价发现,与由其他赞助来源的研究相比,制药行业赞助的研究更倾向于支持赞助商的产品。在器械研究中也发现了赞助与研究结果之间存在类似的关联,但证据不如药物研究赞助方面的充分。本综述是对之前Cochrane综述的更新,纳入了关于赞助与研究结果之间关联的实证研究。
调查与其他赞助来源的研究相比,行业赞助的药物和器械研究是否有更有利的结果以及在偏倚风险方面是否存在差异。
在本次更新中,我们检索了MEDLINE(2010年至2015年2月)、Embase(2010年至2015年2月)、Cochrane方法学注册库(2015年第2期)和科学引文索引(2015年6月)。此外,我们还检索了纳入论文的参考文献列表、之前的系统评价以及作者档案。
横断面研究、队列研究、系统评价和荟萃分析,这些研究定量比较了行业赞助的药物或医疗器械的主要研究与其他赞助来源的研究。我们没有语言限制。
两名评估人员筛选摘要,识别并纳入相关论文。两名评估人员提取数据,我们联系纳入论文的作者获取额外未发表的数据。结果包括有利结果、有利结论、效应量、偏倚风险以及结论是否与研究结果一致。两名评估人员评估纳入论文的偏倚风险。我们计算二分数据的合并风险比(RR)(95%置信区间(CI))。
本次更新纳入了27篇新论文,综述总共包含75篇纳入论文。与非行业赞助的研究相比,行业赞助的研究更常得出有利的疗效结果,RR:1.27(95%CI:1.17至1.37)(25篇论文)(中等质量证据),类似的危害结果RR:1.37(95%CI:0.64至2.93)(4篇论文)(极低质量证据),且更常得出有利结论RR:1.34(95%CI:1.19至1.51)(29篇论文)(低质量证据)。19篇论文报告了赞助与疗效效应量,但由于数据报告方式不同无法合并,结果具有异质性。我们未发现药物研究和器械研究在赞助与结论之间的关联上存在差异(交互作用检验,P = 0.98)(4篇论文)。比较行业赞助和非行业赞助的研究,我们未发现序列产生、分配隐藏、随访和选择性结果报告方面的偏倚风险存在差异。然而,与非行业赞助的研究相比,行业赞助的研究在盲法方面的偏倚风险更低,RR:1.25(95%CI:1.05至1.50)(13篇论文)。在行业赞助的研究中,结果与结论之间的一致性低于非行业赞助的研究,RR:0.83(95%CI:0.70至0.98)(6篇论文)。
制药和器械制造公司赞助的研究比其他来源赞助的研究得出更有利的疗效结果和结论。我们的分析表明存在一种行业偏倚,这种偏倚无法用标准的“偏倚风险”评估来解释。