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Why all randomised controlled trials produce biased results

Krauss, Alexander ORCID: 0000-0002-1783-2765 (2018) Why all randomised controlled trials produce biased results. Annals of Medicine. ISSN 0785-3890

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Identification Number: 10.1080/07853890.2018.1453233


Background: Randomised controlled trials (RCTs) are commonly viewed as the best research method to inform public health and social policy. Usually they are thought of as providing the most rigorous evidence of a treatment’s effectiveness without strong assumptions, biases and limitations. Objective: This is the first study to examine that hypothesis by assessing the 10 most cited RCT studies worldwide. Data sources: These 10 RCT studies with the highest number of citations in any journal (up to June 2016) were identified by searching Scopus (the largest database of peer-reviewed journals). Results: This study shows that these world-leading RCTs that have influenced policy produce biased results by illustrating that participants’ background traits that affect outcomes are often poorly distributed between trial groups, that the trials often neglect alternative factors contributing to their main reported outcome and, among many other issues, that the trials are often only partially blinded or unblinded. The study here also identifies a number of novel and important assumptions, biases and limitations not yet thoroughly discussed in existing studies that arise when designing, implementing and analysing trials. Conclusions: Researchers and policymakers need to become better aware of the broader set of assumptions, biases and limitations in trials. Journals need to also begin requiring researchers to outline them in their studies. We need to furthermore better use RCTs together with other research methods.

Item Type: Article
Official URL:
Additional Information: © 2018 The Author © CC BY 4.0
Divisions: CPNSS
Subjects: R Medicine > R Medicine (General)
Date Deposited: 13 Mar 2018 16:41
Last Modified: 17 May 2024 07:24
Projects: 745447
Funders: European Union

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