Development and validation of a risk prediction model for rotator cuff tears following acute anterior shoulder dislocation

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Authors: Kanglong Wu, Guoqi Lv, Anquan Hu, Jin Liang, Jingfeng Gao
Cited by: 0
References: 42

Abstract

PURPOSE: Following shoulder dislocation, injuries such as rotator cuff tear (RCT), axillary nerve injury, greater tuberosity (GT) fracture, Hill-Sachs lesion, and Bankart lesion frequently occur. This study aimed to develop and validate a clinical prediction model for the occurrence of RCT after acute anterior shoulder dislocation. METHODS: This study included all patients with acute anterior shoulder dislocation who presented to the emergency orthopedics department of the same institution from July 2021 to March 2025. Lasso regression was used to select independent variables for the model. A logistic regression model was constructed for prediction. The model’s validity was assessed using the bootstrap method. RESULTS: This study ultimately included 310 patients with acute anterior shoulder dislocation, among whom 110 were confirmed to have RCT. Logistic regression revealed significant associations between RCT post-dislocation and the following factors: age(p

Fields of Study & Subjects

Shoulder Injury and Treatment Shoulder and Clavicle Injuries Sports injuries and prevention

Publication details

Journal / source
BMC Musculoskeletal Disorders
Volume
27
Issue
1
Publication date
28 January 2026
Language
EN