Surgery for shoulder impingement: a systematic review and meta-analysis of controlled clinical trials
Bibliographic record
Abstract
Background: Shoulder impingement is one of the most common nontraumatic upper limb causes of disability in adults. Our aim was to evaluate the efficacy of surgical intervention in comparison with nonoperative or sham treatments in patients with shoulder impingement in terms of both pain and functional outcomes. Methods: We conducted a systematic review and meta-analysis of randomized controlled trials. Two reviewers independently screened MEDLINE, Embase, PubMed and Cochrane databases for randomized controlled trials published from 1946 to July 19, 2018. A risk-of-bias assessment was conducted for all included studies, and outcomes were pooled using a random effects model. The primary outcome was improvement in pain up to 2 years. Secondary outcomes were functional outcome scores reported in the short term (≤ 1 yr) and long term (≥ 2 yr). Heterogeneity was assessed using the I2 statistic. Functional outcome scores were presented along with minimal clinically important differences to provide clinical context for findings. Results: Thirteen randomized controlled trials (n = 1062 patients) were included in this review. Eligible patients had a mean age of 48 (standard deviation ± 4) years and 45% were men. The pooled treatment effect of surgical intervention for shoulder impingement did not demonstrate any benefit to surgery with respect to pain relief (mean difference −0.07, 95% CI −0.40 to 0.26) or short-term functional outcomes (standardized mean difference −0.09, 95% confidence interval [CI] −0.27 to 0.08). Surgical intervention did result in a small statistically significant but clinically unimportant improvement in long-term functional outcomes (standardized mean difference 0.23, 95% CI 0.06 to 0.41). Interpretation: Evidence suggests surgical intervention has little, if any, benefit for impingement pathology in the middle-aged patient. Further research is required to identify those patients who will reliably benefit from surgical intervention as well as optimal conservative treatment strategies.
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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 | 0.011 | 0.034 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.018 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".