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Agreement Between Mega-Trials and Smaller Trials: A Systematic Review and Meta-Research Analysis Publisher Pubmed



Kastrati L1, 2, 3, 4 ; Raeisidehkordi H5 ; Llanaj E6, 7, 8 ; Quezadapinedo HG9 ; Khatami F2, 3, 10 ; Ahanchi NS2, 3, 11 ; Llane A6 ; Mecani R6, 12 ; Muka T1, 6 ; Ioannidis JPA1, 13, 14, 15, 16
Authors
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Authors Affiliations
  1. 1. Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, United States
  2. 2. Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland
  3. 3. Graduate School for Health Sciences, University of Bern, Bern, Switzerland
  4. 4. Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital, University of Bern, Switzerland
  5. 5. Department of Global Public Health and Bioethics, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
  6. 6. Epistudia, Bern, Switzerland
  7. 7. Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrucke, Nuthetal, Germany
  8. 8. German Centre for Diabetes Research (DZD), Neuherberg, Munchen, Germany
  9. 9. Department of Population Health Sciences, Duke University, School of Medicine, Durham, NC, United States
  10. 10. Community Medicine Department, Tehran University of Medical Sciences, Tehran, Iran
  11. 11. Department of Internal Medicine, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
  12. 12. Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
  13. 13. Stanford Prevention Research Center, Department of Medicine, Stanford University, School of Medicine, Stanford, CA, United States
  14. 14. Department of Epidemiology and Population Health, Stanford University, School of Medicine, Stanford, CA, United States
  15. 15. Department of Biomedical Data Science, Stanford University, School of Medicine, Stanford, CA, United States
  16. 16. Department of Statistics, Stanford University, School of Humanities and Sciences, Stanford, CA, United States

Source: JAMA Network Open Published:2024


Abstract

Importance: Mega-trials can provide large-scale evidence on important questions. Objective: To explore how the results of mega-trials compare with the meta-analysis results of trials with smaller sample sizes. Data Sources: ClinicalTrials.gov was searched for mega-trials until January 2023. PubMed was searched until June 2023 for meta-analyses incorporating the results of the eligible mega-trials. Study Selection: Mega-trials were eligible if they were noncluster nonvaccine randomized clinical trials, had a sample size over 10000, and had a peer-reviewed meta-analysis publication presenting results for the primary outcome of the mega-trials and/or all-cause mortality. Data Extraction and Synthesis: For each selected meta-analysis, we extracted results of smaller trials and mega-trials included in the summary effect estimate and combined them separately using random effects. These estimates were used to calculate the ratio of odds ratios (ROR) between mega-trials and smaller trials in each meta-analysis. Next, the RORs were combined using random effects. Risk of bias was extracted for each trial included in our analyses (or when not available, assessed only for mega-trials). Data analysis was conducted from January to June 2024. Main Outcomes and Measures: The main outcomes were the summary ROR for the primary outcome and all-cause mortality between mega-trials and smaller trials. Sensitivity analyses were performed with respect to the year of publication, masking, weight, type of intervention, and specialty. Results: Of 120 mega-trials identified, 41 showed a significant result for the primary outcome and 22 showed a significant result for all-cause mortality. In 35 comparisons of primary outcomes (including 85 point estimates from 69 unique mega-trials and 272 point estimates from smaller trials) and 26 comparisons of all-cause mortality (including 70 point estimates from 65 unique mega-trials and 267 point estimates from smaller trials), no difference existed between the outcomes of the mega-trials and smaller trials for primary outcome (ROR, 1.00; 95% CI, 0.97-1.04) nor for all-cause mortality (ROR, 1.00; 95% CI, 0.97-1.04). For the primary outcomes, smaller trials published before the mega-trials had more favorable results than the mega-trials (ROR, 1.05; 95% CI, 1.01-1.10) and subsequent smaller trials published after the mega-trials (ROR, 1.10; 95% CI, 1.04-1.18). Conclusions and Relevance: In this meta-research analysis, meta-analyses of smaller studies showed overall comparable results with mega-trials, but smaller trials published before the mega-trials gave more favorable results than mega-trials. These findings suggest that mega-trials need to be performed more often given the relative low number of mega-trials found, their low significant rates, and the fact that smaller trials published prior to mega-trial report more beneficial results than mega-trials and subsequent smaller trials. © 2024 Kastrati L et al. JAMA Network Open.
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