Arthroscopic debridement for primary elbow osteoarthritis with and without capsulectomy: a comparative cohort study
Bibliographic record
Abstract
BACKGROUND: Arthroscopic elbow debridement for primary osteoarthritis may be performed with or without a joint capsulectomy. The purpose of this comparative cohort study was to compare range of motion (ROM) and early complications between patients with and without anterior capsulectomy. METHODS: In total, 110 patients with primary osteoarthritis of the elbow who underwent an arthroscopic debridement for primary osteoarthritis were reviewed with a minimum of 3 months postoperative follow-up. The first group consisted of 51 patients who had a concomitant capsulectomy and the second group consisted of 59 patients who either had a capsulotomy or did not have the capsule addressed. RESULTS: There was significantly greater pre-operative stiffness in the group who had an anterior capsulectomy versus those who did not. A greater improvement in arc of ROM occurred in patients who had a concomitant capsulectomy compared to patients without (24° versus 12°) (p < 0.003); however, there were no significant differences in final ROM between groups. There were no statistically significant differences in the incidence of complications between the groups (16% capsulectomy versus 18% no capsulectomy). CONCLUSIONS: Elbow arthroscopy and debridement for primary elbow osteoarthritis yields satisfactory motion at short-term follow-up with or without a capsulectomy. The incidence of early complications was low at this tertiary referral centre, with no significant differences between groups.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".