Gender Differences in Quality of Life and Extent of Rotator Cuff Pathology
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to investigate the effect of age and gender on functional and emotional status and extent of rotator cuff and associated pathology in patients undergoing arthroscopic surgery. TYPE OF STUDY: Historical cohort study. METHODS: This study involved 279 patients who underwent rotator cuff decompression or rotator cuff repair and for whom scores for the 5 domains of a preoperative rotator cuff outcome measure were available. Arthroscopic examination was used to identify the extent of pathology in the rotator cuff, biceps tendon, and superior labrum. RESULTS: Over a period of 3 years, 108 women and 171 men underwent surgery. There was a statistically significant difference in the domain of emotions (P = .024) for men and women. The levels of symptoms (P = .020), difficulty with performing sports and recreational activities (P = .043), and emotions (P = .001) were significantly different between individuals under 55 years of age and those 55 and older, with older patients reporting less difficulty. In terms of extent of pathology, the chi-square analysis showed a statistically significant difference in the incidence of full-thickness tears (P < .0001) between different age groups and SLAP lesions types II to IV (P = .009) between men and women. CONCLUSIONS: Female candidates for rotator cuff-related surgeries report more emotional difficulties. Older age group appear to have less functional and emotional disability despite an increase in the prevalence of major rotator cuff pathology. Gender and age have important roles on quality of life and extent of shoulder pathology. LEVEL OF EVIDENCE: Level II, investigating the outcome of disease.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".