Ultrasound-guided shoulder girdle injections are more accurate and more effective than landmark-guided injections: a systematic review and meta-analysis
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: To compare the accuracy and efficacy of ultrasound (US)-guided injections versus landmark-guided injections of the subacromial space, biceps tendon sheath, acromioclavicular (AC) joint and glenohumeral (GH) joint. METHODS: PubMed, Medline and Cochrane libraries were searched up to 31 July 2013. Two independent authors selected and evaluated randomised controlled trials comparing the accuracy and/or efficacy of US versus landmark-guided injection of the shoulder girdle. A meta-analysis of accuracy, pain Visual Analog Scale (VAS), function score and reported adverse events were performed. RESULT: Four cadaveric studies (300 cadaveric shoulders) and nine live human studies (514 patients) were reviewed. Based on three studies for AC joint, the accuracy of US versus a landmark-guided injection was 93.6% vs 68.2% (p<0.0001). Based on single studies, the accuracy of US versus a landmark-guided injection was 65% vs 70% for the subacromial space (p>0.05), 86.7% vs 26.7% for the biceps tendon sheath (p<0.05), and 92.5% vs 72.5% for the GH joint (p=0.025). Based on three studies for the subacromial space, the US group had a significantly greater reduction in pain (mean difference (MD)=1.47, 95% CI 1.0 to 1.93), and improvement in function (standardised MD=0.70, 95% CI 0.39 to 1.01) at 6 weeks postinjection. Based on a single study for the biceps tendon sheath, the US group had a significantly greater reduction in pain (MD 1.9, 95% CI 1.2 to 2.6) and improvement in function (MD=10.9, 95% CI 6.57 to 15.23). CONCLUSIONS: US-guided injections showed greater accuracy for all shoulder girdle injections, with the exception of the subacromial space. There was improved efficacy for the subacromial space and biceps tendon sheath injections.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.003 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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