Evidence map›Paper›PMID 36123642›Full record

ReviewBMC medical research methodology2022

A descriptive study of samples sizes used in agreement studies published in the PubMed repository.

Oscar Han, Hao Wei Tan, Steven Julious, Laura Sutton, Richard Jacques, Ellen Lee, Jen Lewis, Stephen Walters

Abstract readReview
In one paragraph

Review 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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  7. Development and assessment of anImaging science in dentistry · 2026
    Article
  8. Article
  9. Review
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  12. Article
  13. Observational
  14. Peripheral Refraction Using Ancillary Retinoscope Component (P-ARC).Translational vision science & technology · 2024
    Article
  15. Article
  16. 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

8 authors.

Oscar HanSchool of Health and Related Research, University of Sheffield, Sheffield, UK.
Hao Wei TanSchool of Health and Related Research, University of Sheffield, Sheffield, UK.
Steven JuliousSchool of Health and Related Research, University of Sheffield, Sheffield, UK.
Laura SuttonSchool of Health and Related Research, University of Sheffield, Sheffield, UK. l.j.sutton@sheffield.ac.uk.
Richard JacquesSchool of Health and Related Research, University of Sheffield, Sheffield, UK.
Ellen LeeSchool of Health and Related Research, University of Sheffield, Sheffield, UK.
Jen LewisSchool of Health and Related Research, University of Sheffield, Sheffield, UK.
Stephen WaltersSchool of Health and Related Research, University of Sheffield, Sheffield, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA sample size justification is required for all studies and should give the minimum number of subjects to be recruited for the study to achieve its primary objective. The aim of this review is to describe sample sizes from agreement studies with continuous or categorical endpoints and different methods of assessing agreement, and to determine whether sample size justification was provided.

methodsData were gathered from the PubMed repository with a time interval of 28

resultsWe observed a wide range of sample sizes. Forty-six studies (56%) used a continuous outcome measure, 28 (34%) used categorical and eight (10%) used both. Median sample sizes were 50 (IQR 25 to 100) for continuous endpoints and 119 (IQR 50 to 271) for categorical endpoints. Bland-Altman limits of agreement (median sample size 65; IQR 35 to 124) were the most common method of statistical analysis for continuous variables and Kappa coefficients for categorical variables (median sample size 71; IQR 50 to 233). Of the 82 studies assessed, only 27 (33%) gave justification for their sample size.

conclusionsDespite the importance of a sample size justification, we found that two-thirds of agreement studies did not provide one. We recommend that all agreement studies provide rationale for their sample size even if they do not include a formal sample size calculation.

Indexed as

PublicationsResearch DesignHumansOutcome Assessment, Health CarePubMedSample SizeAgreementDesignMethod comparisonSample sizeTest–retest

Identifiers

PMID36123642
PMCPMC9487062

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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.