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Record W2996563390 · doi:10.1016/j.jses.2019.10.110

Evaluating the reproducibility of the short version of the Western Ontario Rotator Cuff Index (Short-WORC) prospectively

2019· article· en· W2996563390 on OpenAlexafffundabout
Rochelle Furtado, Joy C. MacDermid, Dianne Bryant, Kenneth J. Faber, George S. Athwal

Bibliographic record

VenueJSES International · 2019
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsSt. Joseph's HospitalWestern University
FundersCanadian Institutes of Health Research
KeywordsIntraclass correlationRotator cuffMedicineReproducibilityCronbach's alphaReliability (semiconductor)Standard errorConfidence intervalPhysical therapyRepeatabilityLimits of agreementSurgeryNuclear medicineStatisticsPsychometricsInternal medicineMathematics

Abstract

fetched live from OpenAlex

BACKGROUND: Recently, a shorter version of the Western Ontario Rotator Cuff Index (Short-WORC) was created to reduce patient response burden. However, it has yet to be evaluated prospectively for reproducibility (reliability and agreement) and floor and ceiling effects. METHODS: ) to assess test-retest reliability. To evaluate parameters of agreement, the standard error of measurement, minimal detectable change (based on a 90% confidence interval), and Bland-Altman plots were used. RESULTS: ) was 0.87. The agreement parameter was 8.4 for the standard error of measurement of agreement, and the limits of agreement fell within the range of -22.9 to 23.8. The Short-WORC is reliable over time and reflective of a patient's true score after an intervention. CONCLUSIONS: The Short-WORC demonstrated strong reproducibility parameters and can be used for patients with rotator cuff disorders. The Short-WORC indicated no systematic bias and was reflective of the true score of both individual patients and groups of patients at 2 time points.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.066
Threshold uncertainty score0.350

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.058
GPT teacher head0.382
Teacher spread0.323 · 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 teacher head, 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

Citations3
Published2019
Admission routes3
Has abstractyes

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