SynthesisBMC medical research methodology2022
A systematic review of randomisation method use in RCTs and association of trial design characteristics with method selection.
Synthesis in BMC medical research methodology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Trial
- Reducing selection bias risk to enhance RCT validity: sandwich mixed randomization outperforms permuted block design.BMC medical research methodology · 2026Article
- Clinical Trial Simulation: Planning With the OCTAVE Framework, Implementation and Validation Principles.Statistics in medicine · 2026Article
- Minimization of expected balance distribution differences: optimization of the randomized allocation algorithm based on the Pocock-Simon design.BMC medical research methodology · 2026Article
- Emotion-focused therapy and forgiveness in the older population: Protocol for a feasibility randomized controlled trial.PloS one · 2026Article
- When randomisation goes horribly wrong: examples of major failures of randomisation and strategies to avoid them.Trials · 2025Review
- A REDCap advanced randomization module to meet the needs of modern trials.Journal of biomedical informatics · 2025Article
- Discovery of Anti-Aging Effects of Wheat Bran Extract in a D-Galactose-Induced Rat Model of Oxidative Stress.Nutrients · 2025Article
- Categorisation of continuous covariates for stratified randomisation: How should we adjust?Statistics in medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWhen conducting a randomised controlled trial, there exist many different methods to allocate participants, and a vast array of evidence-based opinions on which methods are the most effective at doing this, leading to differing use of these methods. There is also evidence that study characteristics affect the performance of these methods, but it is unknown whether the study design affects researchers' decision when choosing a method.
methodsWe conducted a review of papers published in five journals in 2019 to assess which randomisation methods are most commonly being used, as well as identifying which aspects of study design, if any, are associated with the choice of randomisation method. Randomisation methodology use was compared with a similar review conducted in 2014.
resultsThe most used randomisation method in this review is block stratification used in 162/330 trials. A combination of simple, randomisation, block randomisation, stratification and minimisation make up 318/330 trials, with only a small number of more novel methods being used, although this number has increased marginally since 2014. More complex methods such as stratification and minimisation seem to be used in larger multicentre studies.
conclusionsWithin this review, most methods used can be classified using a combination of simple, block stratification and minimisation, suggesting that there is not much if any increase in the uptake of newer more novel methods. There seems to be a noticeable polarisation of method use, with an increase in the use of simple methods, but an increase in the complexity of more complex methods, with greater numbers of variables included in the analysis, and a greater number of strata.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.