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A Statistical Analysis of Reviewer Agreement and Bias in Evaluating Medical Abstracts

Observer variability affects virtually all aspects of clinical medicine and investigation. One important aspect, not previously examined, is the selection of abstracts for presentation at national medical meetings. In the present study, 109 abstracts, submitted to the American Association for the St...

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Detalles Bibliográficos
Autores principales: Cicchetti, Domenic V., Conn, Harold O.
Formato: Texto
Lenguaje:English
Publicado: 1976
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2595507/
https://www.ncbi.nlm.nih.gov/pubmed/997596
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author Cicchetti, Domenic V.
Conn, Harold O.
author_facet Cicchetti, Domenic V.
Conn, Harold O.
author_sort Cicchetti, Domenic V.
collection PubMed
description Observer variability affects virtually all aspects of clinical medicine and investigation. One important aspect, not previously examined, is the selection of abstracts for presentation at national medical meetings. In the present study, 109 abstracts, submitted to the American Association for the Study of Liver Disease, were evaluated by three “blind” reviewers for originality, design-execution, importance, and overall scientific merit. Of the 77 abstracts rated for all parameters by all observers, interobserver agreement ranged between 81 and 88%. However, corresponding intraclass correlations varied between 0.16 (approaching statistical significance) and 0.37 (p < 0.01). Specific tests of systematic differences in scoring revealed statistically significant levels of observer bias on most of the abstract components. Moreover, the mean differences in interobserver ratings were quite small compared to the standard deviations of these differences. These results emphasize the importance of evaluating the simple percentage of rater agreement within the broader context of observer variability and systematic bias.
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spelling pubmed-25955072008-12-05 A Statistical Analysis of Reviewer Agreement and Bias in Evaluating Medical Abstracts Cicchetti, Domenic V. Conn, Harold O. Yale J Biol Med Medical Reviews Observer variability affects virtually all aspects of clinical medicine and investigation. One important aspect, not previously examined, is the selection of abstracts for presentation at national medical meetings. In the present study, 109 abstracts, submitted to the American Association for the Study of Liver Disease, were evaluated by three “blind” reviewers for originality, design-execution, importance, and overall scientific merit. Of the 77 abstracts rated for all parameters by all observers, interobserver agreement ranged between 81 and 88%. However, corresponding intraclass correlations varied between 0.16 (approaching statistical significance) and 0.37 (p < 0.01). Specific tests of systematic differences in scoring revealed statistically significant levels of observer bias on most of the abstract components. Moreover, the mean differences in interobserver ratings were quite small compared to the standard deviations of these differences. These results emphasize the importance of evaluating the simple percentage of rater agreement within the broader context of observer variability and systematic bias. 1976-09 /pmc/articles/PMC2595507/ /pubmed/997596 Text en
spellingShingle Medical Reviews
Cicchetti, Domenic V.
Conn, Harold O.
A Statistical Analysis of Reviewer Agreement and Bias in Evaluating Medical Abstracts
title A Statistical Analysis of Reviewer Agreement and Bias in Evaluating Medical Abstracts
title_full A Statistical Analysis of Reviewer Agreement and Bias in Evaluating Medical Abstracts
title_fullStr A Statistical Analysis of Reviewer Agreement and Bias in Evaluating Medical Abstracts
title_full_unstemmed A Statistical Analysis of Reviewer Agreement and Bias in Evaluating Medical Abstracts
title_short A Statistical Analysis of Reviewer Agreement and Bias in Evaluating Medical Abstracts
title_sort statistical analysis of reviewer agreement and bias in evaluating medical abstracts
topic Medical Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2595507/
https://www.ncbi.nlm.nih.gov/pubmed/997596
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