Diagnostic Accuracy of Clinical Tests for Subscapularis Tears: A Systematic Review and Meta-analysis
Author(s) -
Alexandre Lädermann,
Philippe Collin,
Olivia Zbinden,
Timon Meynard,
Mo Saffarini,
Joe Chih-Hao Chiu
Publication year - 2021
Publication title -
orthopaedic journal of sports medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.329
H-Index - 35
ISSN - 2325-9671
DOI - 10.1177/23259671211042011
Subject(s) - medicine , meta analysis , cochrane library , tears , systematic review , rotator cuff , medline , physical therapy , surgery , political science , law
Background: Previous systematic reviews and meta-analyses on the diagnostic accuracy of shoulder clinical tests do not reach conclusions regarding subscapularis tears.Purpose: To compare the diagnostic accuracy of commonly used clinical tests for subscapularis tears.Study Design: Systematic review; Level of evidence, 3.Methods: An electronic literature search was conducted using Medline, Embase, and the Cochrane Library/Central. Eligibility criteria were original clinical studies reporting the diagnostic accuracy of clinical tests to diagnose the presence of rotator cuff tears involving the subscapularis.Results: The electronic literature search returned 2212 records, of which 13 articles were eligible. Among 8 tests included in the systematic review, the lift-off test was most frequently reported (12 studies). Four tests were eligible for meta-analysis: bear-hug test, belly-press test, internal rotation lag sign (IRLS), and lift-off test. The highest pooled sensitivity was 0.55 (95% CI, 0.28-0.79) for the bear-hug test, while the lowest pooled sensitivity was 0.32 (95% CI, 0.13-0.61), for the IRLS. In all tests, pooled specificity was >0.90.Conclusion: Among the 4 clinical tests eligible for meta-analysis (bear-hug test, belly-press test, IRLS, and lift-off test), all had pooled specificity >0.90 but pooled sensitivity <0.60. No single clinical test is sufficiently reliable to diagnose subscapularis tears.Registration: PROSPERO (CRD42019137019).
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom