Diagnostic accuracy of clinical examination features for identifying large rotator cuff tears in primary health care

Angela Cadogan, Peter McNair, Mark Laslett, Wayne Hing, Stephen Taylor

Research output: Contribution to journalArticleResearchpeer-review

7 Citations (Scopus)

Abstract

Objectives: Rotator cuff tears are a common and disabling complaint. The early diagnosis of medium and large size rotator cuff tears can enhance the prognosis of the patient. The aim of this study was to identify clinical features with the strongest ability to accurately predict the presence of a medium, large or multitendon (MLM) rotator cuff tear in a primary care cohort. Methods: Participants were consecutively recruited from primary health care practices (n5203). All participants underwent a standardized history and physical examination, followed by a standardized X-ray series and diagnostic ultrasound scan. Clinical features associated with the presence of a MLM rotator cuff tear were identified (P<0.200), a logistic multiple regression model was derived for identifying a MLM rotator cuff tear and thereafter diagnostic accuracy was calculated. Results: A MLM rotator cuff tear was identified in 24 participants (11.8%). Constant pain and a painful arc in abduction were the strongest predictors of a MLM tear (adjusted odds ratio 3.04 and 13.97 respectively). Combinations of ten history and physical examination variables demonstrated highest levels of sensitivity when five or fewer were positive [100%, 95% confidence interval (CI): 0.86-1.00; negative likelihood ratio: 0.00, 95% CI: 0.00-0.28], and highest specificity when eight or more were positive (0.91, 95% CI: 0.86- 0.95; positive likelihood ratio 4.66, 95% CI: 2.34-8.74). Discussion: Combinations of patient history and physical examination findings were able to accurately detect the presence of a MLM rotator cuff tear. These findings may aid the primary care clinician in more efficient and accurate identification of rotator cuff tears that may require further investigation or orthopedic consultation.

Original languageEnglish
Pages (from-to)148-159
Number of pages12
JournalJournal of Manual and Manipulative Therapy
Volume21
Issue number3
DOIs
Publication statusPublished - 2013

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Primary Health Care
Confidence Intervals
Physical Examination
History
Aptitude
Rotator Cuff Injuries
Tears
Orthopedics
Early Diagnosis
Ultrasonography
Referral and Consultation
Logistic Models
Odds Ratio
X-Rays
Pain

Cite this

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title = "Diagnostic accuracy of clinical examination features for identifying large rotator cuff tears in primary health care",
abstract = "Objectives: Rotator cuff tears are a common and disabling complaint. The early diagnosis of medium and large size rotator cuff tears can enhance the prognosis of the patient. The aim of this study was to identify clinical features with the strongest ability to accurately predict the presence of a medium, large or multitendon (MLM) rotator cuff tear in a primary care cohort. Methods: Participants were consecutively recruited from primary health care practices (n5203). All participants underwent a standardized history and physical examination, followed by a standardized X-ray series and diagnostic ultrasound scan. Clinical features associated with the presence of a MLM rotator cuff tear were identified (P<0.200), a logistic multiple regression model was derived for identifying a MLM rotator cuff tear and thereafter diagnostic accuracy was calculated. Results: A MLM rotator cuff tear was identified in 24 participants (11.8{\%}). Constant pain and a painful arc in abduction were the strongest predictors of a MLM tear (adjusted odds ratio 3.04 and 13.97 respectively). Combinations of ten history and physical examination variables demonstrated highest levels of sensitivity when five or fewer were positive [100{\%}, 95{\%} confidence interval (CI): 0.86-1.00; negative likelihood ratio: 0.00, 95{\%} CI: 0.00-0.28], and highest specificity when eight or more were positive (0.91, 95{\%} CI: 0.86- 0.95; positive likelihood ratio 4.66, 95{\%} CI: 2.34-8.74). Discussion: Combinations of patient history and physical examination findings were able to accurately detect the presence of a MLM rotator cuff tear. These findings may aid the primary care clinician in more efficient and accurate identification of rotator cuff tears that may require further investigation or orthopedic consultation.",
author = "Angela Cadogan and Peter McNair and Mark Laslett and Wayne Hing and Stephen Taylor",
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Diagnostic accuracy of clinical examination features for identifying large rotator cuff tears in primary health care. / Cadogan, Angela; McNair, Peter; Laslett, Mark; Hing, Wayne; Taylor, Stephen.

In: Journal of Manual and Manipulative Therapy, Vol. 21, No. 3, 2013, p. 148-159.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Diagnostic accuracy of clinical examination features for identifying large rotator cuff tears in primary health care

AU - Cadogan, Angela

AU - McNair, Peter

AU - Laslett, Mark

AU - Hing, Wayne

AU - Taylor, Stephen

PY - 2013

Y1 - 2013

N2 - Objectives: Rotator cuff tears are a common and disabling complaint. The early diagnosis of medium and large size rotator cuff tears can enhance the prognosis of the patient. The aim of this study was to identify clinical features with the strongest ability to accurately predict the presence of a medium, large or multitendon (MLM) rotator cuff tear in a primary care cohort. Methods: Participants were consecutively recruited from primary health care practices (n5203). All participants underwent a standardized history and physical examination, followed by a standardized X-ray series and diagnostic ultrasound scan. Clinical features associated with the presence of a MLM rotator cuff tear were identified (P<0.200), a logistic multiple regression model was derived for identifying a MLM rotator cuff tear and thereafter diagnostic accuracy was calculated. Results: A MLM rotator cuff tear was identified in 24 participants (11.8%). Constant pain and a painful arc in abduction were the strongest predictors of a MLM tear (adjusted odds ratio 3.04 and 13.97 respectively). Combinations of ten history and physical examination variables demonstrated highest levels of sensitivity when five or fewer were positive [100%, 95% confidence interval (CI): 0.86-1.00; negative likelihood ratio: 0.00, 95% CI: 0.00-0.28], and highest specificity when eight or more were positive (0.91, 95% CI: 0.86- 0.95; positive likelihood ratio 4.66, 95% CI: 2.34-8.74). Discussion: Combinations of patient history and physical examination findings were able to accurately detect the presence of a MLM rotator cuff tear. These findings may aid the primary care clinician in more efficient and accurate identification of rotator cuff tears that may require further investigation or orthopedic consultation.

AB - Objectives: Rotator cuff tears are a common and disabling complaint. The early diagnosis of medium and large size rotator cuff tears can enhance the prognosis of the patient. The aim of this study was to identify clinical features with the strongest ability to accurately predict the presence of a medium, large or multitendon (MLM) rotator cuff tear in a primary care cohort. Methods: Participants were consecutively recruited from primary health care practices (n5203). All participants underwent a standardized history and physical examination, followed by a standardized X-ray series and diagnostic ultrasound scan. Clinical features associated with the presence of a MLM rotator cuff tear were identified (P<0.200), a logistic multiple regression model was derived for identifying a MLM rotator cuff tear and thereafter diagnostic accuracy was calculated. Results: A MLM rotator cuff tear was identified in 24 participants (11.8%). Constant pain and a painful arc in abduction were the strongest predictors of a MLM tear (adjusted odds ratio 3.04 and 13.97 respectively). Combinations of ten history and physical examination variables demonstrated highest levels of sensitivity when five or fewer were positive [100%, 95% confidence interval (CI): 0.86-1.00; negative likelihood ratio: 0.00, 95% CI: 0.00-0.28], and highest specificity when eight or more were positive (0.91, 95% CI: 0.86- 0.95; positive likelihood ratio 4.66, 95% CI: 2.34-8.74). Discussion: Combinations of patient history and physical examination findings were able to accurately detect the presence of a MLM rotator cuff tear. These findings may aid the primary care clinician in more efficient and accurate identification of rotator cuff tears that may require further investigation or orthopedic consultation.

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U2 - 10.1179/2042618612Y.0000000020

DO - 10.1179/2042618612Y.0000000020

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JO - Journal of Manual and Manipulative Therapy

JF - Journal of Manual and Manipulative Therapy

SN - 1066-9817

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