Functional Outcomes of Arthroscopic Capsular Release of the Elbow
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
PURPOSE: Elbow contracture is a common and difficult problem to manage. The purpose of this study was to determine the functional outcomes of arthroscopic capsular release in the management of elbow contractures. METHODS: A total of 22 patients (14 males, 8 females; mean age, 42 years) undergoing arthroscopic contracture release were retrospectively reviewed at a minimum follow-up of 1 year (mean, 25 months). In all, 20 patients had a capsulectomy, and 2 underwent capsulotomy. Patient-rated questionnaires (Disability of the Arm, Shoulder, and Hand questionnaire [DASH], American Shoulder and Elbow Surgeons Elbow Form [ASES-e], and Short Form-36 [SF-36]) and clinical, radiographic, and objective evaluations were used to assess outcomes. Motion and strength were measured by independent evaluators through standard goniometry and the LIDO Isokinetic System (Loredan Biomedical, West Sacramento, CA). RESULTS: Mean flexion significantly improved from 122 degrees +/- 15 degrees to 141 degrees +/- 12 degrees (P < .001). Mean extension significantly improved from 38 degrees +/- 18 degrees to 19 degrees +/- 13 degrees (P < .001). Mean arc improvement was 38 degrees +/- 23 degrees (P < .001). None of the patients had instability, and no major neurovascular complications were reported. All patients had improved elbow function with a mean ASES-e score of 31 out of 36. Most patients were satisfied with their surgery, experienced minimal pain, and exhibited minimal impairment on the DASH. CONCLUSIONS: Arthroscopic debridement and capsulectomy of the contracted elbow is effective. Results are comparable with those of other reports in the literature in which both arthroscopic and open methods were used. LEVEL OF EVIDENCE: Level IV.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 |
| 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