MODUS OPERANDI FOR THE TREATMENT OF FROZEN SHOULDER: A NOVEL APPROACH
Bibliographic record
Abstract
Introduction: Frozen shoulder is a self-limiting condition which can sometimes last for up to 2 years. The objective of this study was to show the result of combined use of oral corticosteroids, vitamin C, analgesics, glycaemic control and physiotherapy (AAROM) and compare the results with intraarticular injection of corticosteroids. Methods: 70 patients aged 28 to 63 years were chosen at the beginning of the study. They had been suffering from frozen shoulder from 2 weeks to 1 year (mean 5.7 months) and 12 patients had diabetes. They were managed with strict glycaemic control and Vit. C tablets twice a day for 1 week along with adequate anti-inflammatory treatment. Out of the 54 patients,18 were given 15 mg Prednisolone BD was given for 2 weeks aided by Vit. C and anti-inflammatory drugs,18 were give oral prednisolone(0.5mg/kg/day) alone and the remaining were treated with intraarticular injections. Physiotherapy was started after 1 week in everyone and continued till pain relief was achieved or till 10 weeks.4 patients were lost to follow up. The ROM, the duration of the pain and the severity of the pain (assessed with VAS and McGill Pain Questionnaire) were the main parameters used. Results: The outcomes of combined therapy for frozen shoulder were better if the patients were subjected to physiotherapy after 1 week of starting oral steroids compared to intraarticular injection/oral use of corticosteroids alone.However, in diabetic patients, the outcomes were better with the use of intraarticular injection of corticosteroids and glycaemic control was required for pain relief and improving ROM.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".