Evidence map›Paper›PMID 26333419›Full record

ReviewResearch synthesis methods2016

Randomization methods in emergency setting trials: a descriptive review.

Mark Stephen Corbett, Thirimon Moe-Byrne, Sam Oddie, William McGuire

Abstract readReview
In one paragraph

Review in Research synthesis methods, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mark Stephen CorbettCentre for Reviews and Dissemination, University of York, York, YO10 5DD, UK.
Thirimon Moe-ByrneCentre for Reviews and Dissemination, University of York, York, YO10 5DD, UK.
Sam OddieCentre for Reviews and Dissemination, University of York, York, YO10 5DD, UK.
William McGuireCentre for Reviews and Dissemination, University of York, York, YO10 5DD, UK.

Funding

Department of Health 13/89/12Department of Health RP-PG-0609-10107
6 · The paper itself

Abstract

backgroundQuasi-randomization might expedite recruitment into trials in emergency care settings but may also introduce selection bias.

methodsWe searched the Cochrane Library and other databases for systematic reviews of interventions in emergency medicine or urgent care settings. We assessed selection bias (baseline imbalances) in prognostic indicators between treatment groups in trials using true randomization versus trials using quasi-randomization.

resultsSeven reviews contained 16 trials that used true randomization and 11 that used quasi-randomization. Baseline group imbalance was identified in four trials using true randomization (25%) and in two quasi-randomized trials (18%). Of the four truly randomized trials with imbalance, three concealed treatment allocation adequately. Clinical heterogeneity and poor reporting limited the assessment of trial recruitment outcomes.

conclusionsWe did not find strong or consistent evidence that quasi-randomization is associated with selection bias more often than true randomization. High risk of bias judgements for quasi-randomized emergency studies should therefore not be assumed in systematic reviews. Clinical heterogeneity across trials within reviews, coupled with limited availability of relevant trial accrual data, meant it was not possible to adequately explore the possibility that true randomization might result in slower trial recruitment rates, or the recruitment of less representative populations.

Indexed as

Random AllocationClinical Trials as TopicDatabases, BibliographicEmergency MedicineHumansPrognosisRiskSelection Biasbaseline imbalanceemergency settingquasi-randomizationrandomizationselection bias

Identifiers

PMID26333419
PMCPMC5014172

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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 OpenQuestion graph.