Impact of a cortisone injection on the efficacy of a non-operative treatment approach for anterior instability of the glenohumeral joint
Bibliographic record
Abstract
The purpose of this case report is to describe the effects of a cortisone injection and a conservative, non-operative physical therapy approach in a patient with anterior instability of the glenohumeral joint. A 73-year-old, right-handed male was referred to physical therapy following a right shoulder subluxation, resulting in pain and decreased function in the right upper extremity. A baseline examination indicating significant pain and right shoulder dysfunction resulted in an initial Western Ontario Shoulder Instability Index (WOSI) score of 1619. The patient was seen for 22 visits divided into Phase I and Phase II. Phase II began following a cortisone injection received after visit 15. Physical Therapy intervention consisted of shoulder pendulum exercises, active ROM, Maitland mobilization, strengthening of rotator cuff and thoracic musculature, electrical stimulation and cryotherapy. WOSI scores at baseline, the conclusion of Phase I and II, and one month post discharge were recorded. They were 1487 (8% improvement), 116 (93% improvement), and 83 (95% improvement), respectively. Percent improvement was calculated based on the initial WOSI score. The patient's WOSI score at discharge (end of Phase II) was similar to his self-report of improvement (95%). Results of the WOSI at the conclusion of Phase I and Phase II suggest that the anti-inflammatory and analgesic effects of a cortisone injection were critical components in the patient's recovery. These findings may indicate the appropriateness of such an injection in cases with significant pain and inflammation when a more traditional, conservative approach to anterior glenohumeral joint instability proves ineffective.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".