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Why all randomised controlled trials produce biased results.
1a London School of Economics ; University College London , London , UK.
Annals of Medicine
|April 5, 2018
Summary
Randomised controlled trials (RCTs) are widely used but can produce biased results due to participant distribution and unaddressed factors. Researchers and policymakers must acknowledge these limitations for better evidence-based decisions.
Area of Science:
- Public Health Research
- Clinical Trial Methodology
- Evidence-Based Policy
Background:
- Randomised controlled trials (RCTs) are considered the gold standard for informing public health and social policy.
- They are typically perceived as providing the most rigorous evidence of treatment effectiveness, free from significant assumptions, biases, and limitations.
Purpose of the Study:
- To critically assess the hypothesis that RCTs provide unbiased evidence.
- To examine the 10 most cited RCT studies globally to identify potential biases and limitations.
Main Methods:
- Identification of the 10 highest-cited RCTs published in any journal up to June 2016.
- Systematic review of these selected RCTs to evaluate assumptions, biases, and limitations.
Main Results:
- The most influential RCTs demonstrate biased results, with poor distribution of participant traits affecting outcomes.
- Trials often neglect alternative factors influencing reported outcomes and may suffer from partial or complete unblinding.
- Novel assumptions, biases, and limitations in trial design, implementation, and analysis were identified.
Conclusions:
- RCTs are subject to significant assumptions, biases, and limitations not fully discussed in current literature.
- The study highlights that even highly cited RCTs inevitably produce bias due to inherent complexities in trial processes.
- There is a need for greater awareness among researchers and policymakers regarding these trial limitations and the integration of RCTs with other research methodologies.
Keywords:
RCTRandomised controlled trialbiasclinical medicineevidence-based medicineevidence-based practicereplication crisisreproducibility crisisreproducibility of resultsresearch designstatistical biasMore Related Videos
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