Efficacy of high-volume vs very low volume corticosteroid subacromial injection in subacromial impingement syndrome: a randomized controlled trial
Bibliographic record
Abstract
Subacromial corticosteroid injections (SCI) treat shoulder pain from subacromial impingement syndrome (SIS). However, a high-volume corticosteroid injection (HVCI) increases the incidence of local and general complications from lidocaine. This study aimed to compare the results of functional and clinical outcomes between the very low-volume corticosteroid injection (VLVCI) and HVCI including to WORC (Western Ontario Rotator Cuff Index), VAS (Visual Analog Scale), DASH (The disabilities of the arm, shoulder, and hand) and ROM (Range of Motion). A total of 64 patients presenting with SIS were evaluated in two SCI volume in a randomization-controlled trial study. The VAS for pain pre-injection and post-injection at 15 min, was from 5.34 ± 2.44 at before injection to 2.44 ± 1.58 at post injection 15 min in the HVCI group (P < 0.001) and from 5.19 ± 2.33 to 2.84 ± 1.49 in VLVCI group (P < 0.001). Not significant differences at mean difference VAS post-injection 15 min VAS (P = 0.324) and Percentage difference VAS pre-injection and post-injection (P = 0.24). All follow-up timing, there were no significant differences in WORC, DASH and ROM between two groups (P > 0.05). The results revealed the VLVCI is non-inferior to HVCI both of functional outcomes and VAS.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".