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Prevalence of and factors associated with potentially redundant randomized controlled trials: a cross-sectional study. | LitMetric

Prevalence of and factors associated with potentially redundant randomized controlled trials: a cross-sectional study.

J Clin Epidemiol

Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.

Published: March 2024

AI Article Synopsis

  • The study aimed to determine how common it is for meta-analyses to include randomized controlled trials (RCTs) that may be redundant—meaning they started after a key result had already been established in previous studies.
  • The research involved analyzing a sample of 4,500 references from recent systematic reviews and meta-analyses published in major medical databases, ultimately focusing on 448 eligible meta-analyses of interventions combining RCTs only.
  • Out of the analyzed meta-analyses, 12.7% were found to contain potentially redundant RCTs, amounting to a total of 295 potentially redundant trials involving over 85,000 participants, suggesting a significant degree of overlap in the data used across these studies. *

Article Abstract

Objectives: To investigate the prevalence of meta-analyses containing potentially redundant randomized controlled trials (RCTs) and the factors associated with the presence of redundancy.

Study Design And Setting: This is a cross-sectional study, based on a random sample of references (n = 4500) that were published during 2020 and 2021, indexed in PubMed, Embase, or the Cochrane Database of Systematic Reviews, and retrieved through comprehensive searches using terms about systematic reviews and meta-analysis. From each systematic review, one meta-analysis fulfilling all the following criteria, if available, was included in this study: (1) assessing the effect of the intervention on a primary outcome of the systematic review; (2) combining RCTs only. The primary outcome was prevalence of meta-analyses containing potentially redundant RCTs. Potentially redundant RCTs referred to the trials that started 1 year after the overall effect estimate from cumulative meta-analysis had been statistically robust, as determined by trial sequential analysis when appropriate. The number of potentially redundant trials (if any) in each eligible meta-analysis and the number of participants involved in those trials were documented and contrasted across groups. Logistic regression analysis was conducted to explore the factors associated with presence of potential redundancy.

Results: Of the 448 eligible meta-analyses, 57 (12.7%, 95% confidence interval (CI) 9.8-16.2%) contained potentially redundant RCTs. When limited to the 333 low-heterogeneity meta-analyses, the prevalence was 17.1% (95% CI 13.5-21.5%). The total number of potentially redundant RCTs was 295 (involving 85,385 participants), accounting for 38.5% of the RCTs (and 30.3% of the participants) included in the 57 meta-analyses. In these meta-analyses, the median number of potentially redundant RCTs and the participants involved were 2 (range: 1-50) and 352 (range: 17-26997), respectively. Potentially redundant RCTs were more likely to be present in the meta-analyses evaluating pharmaceutical intervention (odds ratio [OR] 2.31, 95% CI 1.16-4.49), assessing efficacy outcomes (OR 7.25, 95% CI 0.85-61.87), containing more than 5 RCTs (OR 6.47, 95% CI 3.22-12.99), or with the earliest RCT reporting statistically significant effect estimate (OR 5.30, 95% CI 2.64-10.64).

Conclusion: This study found that 12.7% to 17.1% of recently published meta-analyses contained potentially redundant RCTs, highlighting the importance of conducting or examining systematic reviews of existing evidence to justify new RCTs. More importantly, the study identified some scenarios in which redundancy was more likely to occur and thus has implications for trialists, funding agencies, ethics committees, and journal editors.

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Source
http://dx.doi.org/10.1016/j.jclinepi.2024.111265DOI Listing

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