Industry sponsorship and research outcome
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Citations
Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation.
RoB 2: a revised tool for assessing risk of bias in randomised trials.
PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews.
Part 4: Advanced life support: 2015 International consensus on cardiopulmonary resuscitation and emergency cardiovascular care science with treatment recommendations
When and how should multiple imputation be used for handling missing data in randomised clinical trials – a practical guide with flowcharts
References
Chapter 8: Assessing risk of bias in included studies
Development of AMSTAR: a measurement tool to assess the methodological quality of systematic reviews
Pharmacotherapy for neuropathic pain in adults: a systematic review and meta-analysis.
The hazards of scoring the quality of clinical trials for meta-analysis.
Pharmaceutical industry sponsorship and research outcome and quality: systematic review
Related Papers (5)
Reported Methodologic Quality and Discrepancies between Large and Small Randomized Trials in Meta-Analyses
Frequently Asked Questions (2)
Q2. What are the contributions in this paper?
Twenty-seven new papers were included in this update and in total the review contains 75 included papers. Comparing industry and non-industry sponsored studies, the authors did not find a difference in risk of bias from sequence generation, allocation concealment, follow-up and selective outcome reporting. This review is an update of a previous review that looked at sponsorship of drug and device studies. The primary aim of the review was to find out whether the published results and overall conclusions of industry sponsored drug and device studies were more likely to favor the sponsors ’ products, compared with studies with other sources of sponsorship. The secondary aim was to find out whether such industry sponsored studies used methods that increase the risk of bias, again compared with studies with other sources of sponsorship. In this update, the authors carried out a comprehensive search of all relevant papers of empirical studies published from 2010 to February 2015 and included 27 new papers, yielding a total of 75 papers included in their review. The authors did not find a difference between industry and non-industry sponsored studies with respect to standard methodological factors that may increase the risk of bias, except for blinding: industry sponsored studies reported satisfactory blinding more often than non-industry sponsored studies. The basis for the assumed risk ( e. g. the median control group risk across studies ) is provided in footnotes. Their analyses suggest the existence of an industry bias that can not be explained by standard ’ Risk of bias ’ assessments. This suggests that industry sponsored studies are biased in favor of the sponsor ’ s products. Their analysis suggests that industry sponsored drug and device studies are more often favorable to the sponsor ’ s products than non-industry sponsored drug and device studies due to biases that can not be explained by standard ’ Risk of bias ’ assessment tools. GRADE Working Group grades of evidence High quality: Further research is very unlikely to change their conf idence in the est imate of ef fect. Moderate quality: Further research is likely to have an important impact on their conf idence in the est imate of ef fect and may change the est imate. Low quality: Further research is very likely to have an important impact on their conf idence in the est imate of ef fect and is likely to change the est imate.