ArticleBMC medical research methodology2019
Risk of bias judgments for random sequence generation in Cochrane systematic reviews were frequently not in line with Cochrane Handbook.
Article in BMC medical research methodology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 10 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
24 citing papers in PubMed, 10 syntheses or guidelines pooled it, 53 citations in OpenAlex.
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- Anastomosis selection in liver transplantation for recipients with unusable recipient hepatic arteries: a bayesian network meta-analysis.BMC surgery · 2024Pooled it
- Effect of traditional Chinese exercises on the physical and mental health of stroke patients: a meta-analysis.Frontiers in neurology · 2024Pooled it
- What is the impact of daily oral supplementation of vitamin D3 (cholecalciferol) plus calcium on the incidence of hip fracture in older people? A systematic review and meta-analysis.International journal of older people nursing · 2023Pooled it
- Efficacy and Safety of Vitamin D Adjuvant Therapy for Ulcerative Colitis: A Meta-Analysis.Computational and mathematical methods in medicine · 2022Pooled it
- Comparative Efficacy and Safety of Advanced Intravitreal Therapeutic Agents for Noninfectious Uveitis: A Systematic Review and Network Meta-Analysis.Frontiers in pharmacology · 2022Pooled it
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- A systematic review and meta-analysis of the efficacy and safety of arbidol in the treatment of coronavirus disease 2019.Medicine · 2020Pooled it
- Risk of Bias Assessment of Randomized Controlled Trials: From the 1994 Cochrane Collaboration Toolkit to ROBUST-RCT.Journal of evaluation in clinical practice · 2025Article
- CONSORT 2025 explanation and elaboration: updated guideline for reporting randomised trials.BMJ (Clinical research ed.) · 2025Article
- Reducing risk of bias in interventional studies during their design and conduct: a scoping review.BMC medical research methodology · 2025Article
- Review
- Exploration of registration and the risk of bias in acupuncture randomised controlled trials: a systematic review protocol.BMJ open · 2024Article
- Efficacy of Sarcupyrine/valsartan in the treatment of acute myocardial infarction: a meta-analysis.American journal of translational research · 2024Review
- Effectiveness of Cardiac Rehabilitation Services in Low- and Middle-Income Countries: A Systematic Review.Cureus · 2023Review
- The Mutation Portraits of Oncogenes and Tumor Supressor Genes in Predicting the Overall Survival in Pancreatic Cancer: A Bayesian Network Meta-Analysis.Asian Pacific journal of cancer prevention : APJCP · 2023Article
- A systematic review and meta-analysis comparing conservative and surgical treatments for acute patellar dislocation in children and adolescents.Knee surgery & related research · 2023Review
- Antimicrobial Activity of Various Disinfectants to Clean Thermoplastic Polymeric Appliances in Orthodontics.Polymers · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAssessing the risk of bias (RoB) in included studies is one of the key methodological aspects of systematic reviews. Cochrane systematic reviews appraise RoB of randomised controlled trials (RCTs) with the Cochrane RoB tool. Detailed instructions for using the Cochrane RoB tool are provided in the Cochrane Handbook for Systematic Reviews of Interventions (The Cochrane Handbook). The purpose of this study was to analyse whether Cochrane authors use adequate judgments about the RoB for random sequence generation of RCTs included in Cochrane reviews.
methodsWe extracted authors' judgments (high, low or unclear RoB) and supports for judgments (comments accompanying judgments which explain the rationale for a judgment) for random sequence generation of included RCTs from RoB tables of Cochrane reviews using automated data scraping. We categorised all supporting comments, analysed the number and type of various supporting comments and assessed adequacy of RoB judgment for randomisation in line with recommendations from the Cochrane Handbook.
resultsWe analysed 10,103 RCTs that were included in 704 Cochrane reviews. For 5,706 RCTs, randomisation was not described, but for the remaining RCTs, it was indicated that randomisation was performed using computer/software/internet (N = 2,850), random number table (N = 883), mechanical method (N = 359) or it was incomplete/inappropriate (N = 305). Overall, 1,220/10,103 trials (12%) did not have a RoB judgment in line with Cochrane Handbook guidance about randomisation. The highest proportion of misjudgements was found for trials with high RoB (28%), followed by those with low (20%) or unclear (3%). Therefore, one in eight judgments for the analysed domain in Cochrane reviews was not in line with Cochrane Handbook, and one in four if the judgment was "high risk".
conclusionAuthors of Cochrane reviews often make judgments about the RoB related to random sequence generation that are not in line with instructions given in the Cochrane Handbook, which compromises the reliability of the systematic reviews. Our results can help authors of both Cochrane and non-Cochrane reviews which use Cochrane RoB tool to avoid making common mistakes when assessing RoB in included trials.
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Registered trials
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