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Record W2613177345 · doi:10.2519/jospt.2017.6548

The Responsiveness and Minimal Important Change of the Western Ontario Shoulder Instability Index and Oxford Shoulder Instability Score

2017· article· en· W2613177345 on OpenAlexaboutno aff
Just A. van der Linde, Derk A. van Kampen, Loes W A H van Beers, Derek F.P. van Deurzen, Daniël B.F. Saris, Caroline B. Terwee

Bibliographic record

VenueJournal of Orthopaedic and Sports Physical Therapy · 2017
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineConfidence intervalReceiver operating characteristicPromPhysical therapyProspective cohort studyCutoffSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Study Design Prospective cohort study. Background Patient-reported outcome measurements (PROMs) are widely used to evaluate functional limitations. Considering PROMs for shoulder instability, information is lacking with regard to what constitutes a relevant change from baseline scores. Objectives To evaluate the responsiveness of the Western Ontario Shoulder Instability Index (WOSI) and the Oxford Shoulder Instability Score (OSIS) and estimate their minimal important change (MIC). Methods One hundred five consecutive patients with shoulder instability completed 5 PROMs at baseline and at 6-month follow-up. The PROMs included the WOSI and OSIS, the Simple Shoulder Test, the Oxford Shoulder Score, and the Disabilities of the Arm, Shoulder and Hand assessment. Patients also rated their functional change on an anchor question at follow-up. Responsiveness was evaluated by testing 9 hypotheses regarding predefined correlations between the changes in PROM scores, by calculating the area under the receiver operating characteristic curve and by calculating the standardized response mean and effect size statistics. The MIC was determined by identifying the optimal cutoff on the receiver operating characteristic curve. Results Seven out of 9 hypotheses (78%) were confirmed; as expected, a high correlation (0.77) was found between change scores of the WOSI and OSIS, whereas the correlations of the change scores of the WOSI and OSIS with those of general shoulder PROMs were slightly lower (0.61-0.75). The area under the curve was 0.83 (95% confidence interval: 0.75, 0.91) for the OSIS and 0.82 (95% confidence interval: 0.74, 0.90) for the WOSI. The MIC was about 6 points for the OSIS and about 14 points for the WOSI. Conclusion Both the WOSI and OSIS are able to measure change in shoulder function in patients with shoulder instability. The estimated MIC is 6 points for the OSIS (on a scale from 0 to 48) and 14 points for the WOSI (on a scale from 0 to 100). J Orthop Sports Phys Ther 2017;47(6):402-410. doi:10.2519/jospt.2017.6548.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.047
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.052
GPT teacher head0.325
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations49
Published2017
Admission routes1
Has abstractyes

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