Minimal Clinically Important Difference of Shoulder Outcome Measures and Diagnoses
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Patient-reported outcome scales determine response to treatment. The minimal clinically important difference of these scales is a measure of responsiveness: the smallest change in a score associated with a clinically important change to the patient. This study sought to summarize the literature on minimal clinically important difference for the most commonly reported shoulder outcome scales. DESIGN: A literature search of PubMed and EMBASE databases identified 193 citations, 27 of which met the inclusion/exclusion criteria. RESULTS: For rotator cuff tears, a minimal clinically important difference range of 9-26.9 was reported for American Shoulder and Elbow Surgeons, 8 or 10 for Constant, and 282.6-588.7 for the Western Ontario Rotator Cuff Index. For patients who underwent arthroplasty, a minimal clinically important difference range of 6.3-20.9 was reported for American Shoulder and Elbow Surgeons, 5.7-9.4 for Constant, and 14.1-20.6 for the Shoulder Pain and Disability Index. For proximal humeral fractures, a minimal clinically important difference range of 5.4-11.6 was reported for Constant and 8.1-13.0 for Disability of the Arm, Shoulder, and Hand. CONCLUSIONS: A wide range of minimal clinically important difference values was reported for each patient population and instrument. In the future, a uniform outcome instrument and minimal clinically important difference will be useful to measure clinically meaningful change across practices and the spectrum of shoulder diagnoses.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it