Evidence map›Paper›PMID 32637651›Full record

ArticleEuropean stroke journal2020

Outcome assessment by central adjudicators in randomised stroke trials: Simulation of differential and non-differential misclassification.

Peter J Godolphin, Philip M Bath, Christopher Partlett, Eivind Berge, Martin M Brown, Misha Eliasziw, Per Morten Sandset, Joaquín Serena, Alan A Montgomery

Abstract read
In one paragraph

Article in European stroke journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Should we adjudicate outcomes in stroke trials? A systematic review.International journal of stroke : official journal of the International Stroke Society · 2023
    Pooled it
  2. Trial
  3. Article
  4. Article
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

9 authors.

Peter J GodolphinNottingham Clinical Trials Unit, University of Nottingham, Nottingham, UK.ORCID https://orcid.org/0000-0003-0648-0992
Philip M BathStroke Trials Unit, Division of Clinical Neuroscience, University of Nottingham, Nottingham, UK.
Christopher PartlettNottingham Clinical Trials Unit, University of Nottingham, Nottingham, UK.
Eivind BergeDepartment of Internal Medicine, Oslo University Hospital, Oslo, Norway.
Martin M BrownStroke Research Group, UCL Institute of Neurology, University College London, London, UK.
Misha EliasziwDepartment of Public Health and Community Medicine, Tufts University, Boston, MA, USA.
Per Morten SandsetDepartment of Haematology, Oslo University Hospital and University of Oslo, Oslo, Norway.ORCID https://orcid.org/0000-0001-5556-8099
Joaquín SerenaStroke Unit, Department of Neurology, IDIBGI, Hospital Josep Trueta, Girona, Spain.
Alan A MontgomeryNottingham Clinical Trials Unit, University of Nottingham, Nottingham, UK.

Funding

Department of Health DRF-2016-09-057Medical Research Council MC_UU_12023/24
6 · The paper itself

Abstract

introductionAdjudication of the primary outcome in randomised trials is thought to control misclassification. We investigated the amount of misclassification needed before adjudication changed the primary trial results.

resultsFor the five trials, the range of unweighted kappa values were reduced from 0.89-0.97 to 0.65-0.85 before the treatment effect was altered. This corresponded to 2.1%-6% of participants misclassified differentially for trials with a binary outcome. For the hypothetical trials, those with a larger sample size, stronger treatment effect and overall event rate closer to 50% needed a higher proportion of events non-differentially misclassified before the treatment effect became non-significant. DISCUSSION: We found that only a small amount of differential misclassification was required before adjudication altered the primary trial results, whereas a considerable proportion of participants needed to be misclassified non-differentially before adjudication changed trial conclusions. Given that differential misclassification should not occur in trials with sufficient blinding, these results suggest that central adjudication is of most use in studies with unblinded outcome assessment.

conclusionFor trials without adequate blinding, central adjudication is vital to control for differential misclassification. However, for large blinded trials, adjudication is of less importance and may not be necessary.

Indexed as

Adjudicationclinical trialdetection biasmisclassificationsimulationstroke

Identifiers

PMID32637651
PMCPMC7313361

What OpenQuestion holds

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Registered trials

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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.