Repository logo
Log In
  1. Home
  2. Unibas
  3. Publications
  4. Prognostic factors for improvement of shoulder function after arthroscopic rotator cuff repair: a systematic review
 
  • Details

Prognostic factors for improvement of shoulder function after arthroscopic rotator cuff repair: a systematic review

Date Issued
2023-01-01
Author(s)
Stojanov, Thomas  
Audigé, Laurent  
Modler, Linda  
Aghlmandi, Soheila  
Appenzeller-Herzog, Christian  
Loucas, Rafael
Loucas, Marios
Müller, Andreas Marc  
DOI
10.1016/j.jseint.2022.09.003
Abstract
The identification of factors that specify prognostic models for postoperative results should be based on the best scientific evidence and expert assessment. We aimed to identify, map, and evaluate potential prognostic factors for the improvement of shoulder function in patients undergoing arthroscopic rotator cuff repair.; Longitudinal primary studies of arthroscopic rotator cuff repair reporting any multivariable factor analyses for shoulder function improvement with an endpoint assessment of at least 6 months were included. We systematically searched EMBASE, Medline, and Scopus for articles published between January 2014 and June 2021. The risk of bias of included studies and the quality of evidence were assessed using the Quality in Prognosis Studies tool and an adapted Grading of Recommendations, Assessment, Development, and Evaluations framework.; Overall, 24 studies including 73 outcome analyses were included. We classified younger age and smaller tear size as probably prognostic for a greater improvement in objective outcomes. Shorter symptom duration, absence of a worker compensation claim, low preoperative level of functional status, and high preoperative pain level were classified as probably prognostic for greater improvement in patient-reported outcome measures. The quality of the synthesized evidence was low. Twenty-one studies had an overall high risk of bias.; Six potential prognostic factors for shoulder function after arthroscopic rotator cuff repair were identified. Along with ongoing expert opinion assessments, they will feed into a prognostic model-building process.
File(s)
Loading...
Thumbnail Image
Name

20230227074139_63fc50a3b0754.pdf

Size

639.31 KB

Format

Adobe PDF

Checksum

(MD5):7e9e78aeb4b4d529e53b3a5c88bb64f8

University of Basel

edoc
Open Access Repository University of Basel

  • About edoc
  • About Open Access at the University of Basel
  • edoc Policy

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Privacy policy
  • End User Agreement