Excellent Correlation of the Patient‐Reported Outcomes Measurement Information System Upper Extremity Score With Legacy Outcome Scores Preoperatively and at 1 Year After Arthroscopic Rotator Cuff Repair
Bibliographic record
Abstract
Purpose: To assess the preoperative and postoperative performance of the Patient-Reported Outcomes Measurement Information System Upper Extremity (PROMIS-UE, version 2.0) outcome score in comparison to the American Shoulder and Elbow Surgeons (ASES) and Western Ontario Rotator Cuff Index (WORC) instruments in patients undergoing rotator cuff repair. Methods: ) between these tools was calculated at each time point. Correlations were graded as excellent (>0.7), excellent-good (0.61-0.7), good (0.4-0.6), or poor (<0.4). Responsiveness to change was assessed using the effect size and the standardized response mean. Floor and ceiling effects for each instrument were also assessed. Results: The PROMIS-UE instrument showed good to excellent correlation with the legacy instruments at all time points. There were variations in the measured effect sizes of the various instruments, with the PROMIS-UE instrument showing responsiveness to change at 3 and 12 months but the ASES and WORC instruments showing responsiveness at 6 weeks, 3 months, and 12 months. Both PROMIS-UE and ASES scores displayed ceiling effects at 12 months. Conclusions: The PROMIS-UE instrument shows excellent correlation with the ASES instrument and a rotator cuff-specific outcome instrument-the WORC instrument-preoperatively and at 1 year after arthroscopic rotator cuff repair. Variations in the measured effect sizes at different postoperative time points and high ceiling effects of the PROMIS-UE instrument at the 1-year time point may limit its utility in the early postoperative phase and at long-term follow-up after rotator cuff repair. Clinical Relevance: The performance of the PROMIS-UE outcome measure after arthroscopic rotator cuff repair was investigated.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".