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Interobserver Agreement in the Classification of Partial-Thickness Rotator Cuff Tears Using the Snyder Classification System

BACKGROUND: At present, there is no widely accepted classification system for partial-thickness rotator cuff tears, and as a result, optimal treatment remains controversial. PURPOSE: To examine the interobserver reliability and accuracy of classifying partial rotator cuff tears using the Snyder clas...

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Autores principales: Lee, Christopher S., Davis, Shane M., Doremus, Brittany, Kouk, Shalen, Stetson, William B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2016
Materias:
12
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5043594/
https://www.ncbi.nlm.nih.gov/pubmed/27738643
http://dx.doi.org/10.1177/2325967116667058
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author Lee, Christopher S.
Davis, Shane M.
Doremus, Brittany
Kouk, Shalen
Stetson, William B.
author_facet Lee, Christopher S.
Davis, Shane M.
Doremus, Brittany
Kouk, Shalen
Stetson, William B.
author_sort Lee, Christopher S.
collection PubMed
description BACKGROUND: At present, there is no widely accepted classification system for partial-thickness rotator cuff tears, and as a result, optimal treatment remains controversial. PURPOSE: To examine the interobserver reliability and accuracy of classifying partial rotator cuff tears using the Snyder classification system. We hypothesized that the Snyder classification would be reproducible with high reliability and accuracy. STUDY DESIGN: Cohort study (diagnosis); Level of evidence, 2. METHODS: Twenty-seven orthopaedic surgeons reviewed 10 video-recorded shoulder arthroscopies. Each surgeon was provided with a description of the Snyder classification system for partial-thickness rotator cuff tears and was then instructed to use this system to describe each tear. Interrater kappa statistics and percentage agreement between observers were calculated to measure the level of agreement. Surgeon experience as well as fellowship training was evaluated to determine possible correlations. RESULTS: A kappa coefficient of 0.512 indicated moderate reliability between surgeons using the Snyder classification to describe partial-thickness rotator cuff tears. The mean correct score was 80%, which indicated “very good” agreement. There was no correlation between the number of shoulder arthroscopies performed per year and fellowship training and the number of correct scores. CONCLUSION: The Snyder classification system is reproducible and can be used in future research studies in analyzing the treatment options of partial rotator cuff tears.
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spelling pubmed-50435942016-10-13 Interobserver Agreement in the Classification of Partial-Thickness Rotator Cuff Tears Using the Snyder Classification System Lee, Christopher S. Davis, Shane M. Doremus, Brittany Kouk, Shalen Stetson, William B. Orthop J Sports Med 12 BACKGROUND: At present, there is no widely accepted classification system for partial-thickness rotator cuff tears, and as a result, optimal treatment remains controversial. PURPOSE: To examine the interobserver reliability and accuracy of classifying partial rotator cuff tears using the Snyder classification system. We hypothesized that the Snyder classification would be reproducible with high reliability and accuracy. STUDY DESIGN: Cohort study (diagnosis); Level of evidence, 2. METHODS: Twenty-seven orthopaedic surgeons reviewed 10 video-recorded shoulder arthroscopies. Each surgeon was provided with a description of the Snyder classification system for partial-thickness rotator cuff tears and was then instructed to use this system to describe each tear. Interrater kappa statistics and percentage agreement between observers were calculated to measure the level of agreement. Surgeon experience as well as fellowship training was evaluated to determine possible correlations. RESULTS: A kappa coefficient of 0.512 indicated moderate reliability between surgeons using the Snyder classification to describe partial-thickness rotator cuff tears. The mean correct score was 80%, which indicated “very good” agreement. There was no correlation between the number of shoulder arthroscopies performed per year and fellowship training and the number of correct scores. CONCLUSION: The Snyder classification system is reproducible and can be used in future research studies in analyzing the treatment options of partial rotator cuff tears. SAGE Publications 2016-09-28 /pmc/articles/PMC5043594/ /pubmed/27738643 http://dx.doi.org/10.1177/2325967116667058 Text en © The Author(s) 2016 http://creativecommons.org/licenses/by-nc-nd/3.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License (http://www.creativecommons.org/licenses/by-nc-nd/3.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle 12
Lee, Christopher S.
Davis, Shane M.
Doremus, Brittany
Kouk, Shalen
Stetson, William B.
Interobserver Agreement in the Classification of Partial-Thickness Rotator Cuff Tears Using the Snyder Classification System
title Interobserver Agreement in the Classification of Partial-Thickness Rotator Cuff Tears Using the Snyder Classification System
title_full Interobserver Agreement in the Classification of Partial-Thickness Rotator Cuff Tears Using the Snyder Classification System
title_fullStr Interobserver Agreement in the Classification of Partial-Thickness Rotator Cuff Tears Using the Snyder Classification System
title_full_unstemmed Interobserver Agreement in the Classification of Partial-Thickness Rotator Cuff Tears Using the Snyder Classification System
title_short Interobserver Agreement in the Classification of Partial-Thickness Rotator Cuff Tears Using the Snyder Classification System
title_sort interobserver agreement in the classification of partial-thickness rotator cuff tears using the snyder classification system
topic 12
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5043594/
https://www.ncbi.nlm.nih.gov/pubmed/27738643
http://dx.doi.org/10.1177/2325967116667058
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