Detailed management of post-traumatic distal clavicle osteolysis in a 24-year-old female: a case report.
Bibliographic record
Abstract
INTRODUCTION: Distal clavicular osteolysis (DCO) is a musculoskeletal pathology characterized by shoulder pain. Given the high prevalence of shoulder pain due to rotator cuff and subacromial injuries, DCO is often overlooked. Conservative therapy is indicated prior to surgical intervention. However, no literature has described conservative management of DCO in detail. This report will outline conservative management details for DCO to guide future research and clinicians. CASE PRESENTATION: A 24-year-old female hockey player presented with trauma-induced injury, where she was diagnosed with type II acromio-clavicular joint separation. She presented 5-months later with residual pain and limitations in ranges of motion (ROM). Radiographic images revealed DCO. MANAGEMENT AND OUTCOME: Management entailed strict rest from overhead activities followed by rehabilitation and manual therapy. 6-months later the patient reported resolution of symptoms, improved ROMs, and activities of daily living. SUMMARY: DCO can be difficult to diagnose given its limited etiological understanding, low incidence, and poor radiographic sensitivity. DCO diagnosis should be considered in cases with unresolving shoulder pain.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".