Single Assessment Numeric Evaluation for instability as an alternative to the Rowe score
| Autor: | Philippe Collin, Hugo Bothorel, Mohamed Ibrahim, Alexandre Lädermann, Patrick J. Denard, Joe Chih-Hao Chiu |
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| Rok vydání: | 2021 |
| Předmět: |
Adult
Joint Instability 030222 orthopedics medicine.medical_specialty Shoulder Joint business.industry Shoulders 030229 sport sciences General Medicine Correlation 03 medical and health sciences 0302 clinical medicine Patient age Surveys and Questionnaires Internal medicine medicine Shoulder instability Humans Orthopedics and Sports Medicine Surgery business After treatment |
| Zdroj: | Journal of Shoulder and Elbow Surgery. 30:1167-1173 |
| ISSN: | 1058-2746 |
| Popis: | BACKGROUND Several functional outcome scores have been proposed for the evaluation of shoulder instability. Most are multiple-item questionnaires, which can be time-consuming and difficult for patients to understand, as well as leading to lack of compliance. The Single Assessment Numeric Evaluation (SANE) score is a single question that has recently gained widespread acceptance based on its simplicity and correlation with more complex scoring systems. The purpose of this study was to assess the correlation of a new modified version of the SANE score, the SANE-instability score, with the Rowe score after treatment for shoulder instability. MATERIALS AND METHODS We prospectively evaluated a consecutive series of 253 patients (268 shoulders) treated surgically or nonoperatively for shoulder instability between November 2017 and November 2019, for whom the Rowe and SANE-instability scores were collected before treatment and/or after treatment. The SANE-instability score was assessed with the following question: "What is the overall percent value of your shoulder if a completely stable shoulder represents 100%?" Correlations were tested using the Pearson coefficient (r) and interpreted as very high (r = 0.90-1.00), high (r = 0.70-0.89), moderate (r = 0.50-0.69), low (r = 0.30-0.49), or negligible (r = 0.00-0.29). Subgroup analyses were also performed to observe correlation variations according to follow-up length (before treatment and at 6, 12, 26, 52, and 104 weeks after treatment), patient age ( |
| Databáze: | OpenAIRE |
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