Management of Proximal Humeral Fractures in Adults: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
OBJECTIVES: Differences in function, pain, and reoperation rates were compared between the following treatment options: (1) operative vs. nonoperative treatment and (2) various surgical treatments including open reduction internal fixation, intramedullary nail, hemiarthroplasty (HA), and reverse shoulder arthroplasty (RSA). DATA SOURCES: MEDLINE, Embase, and Cochrane were searched through February 1, 2022. All English-language randomized trials comparing operative and nonoperative treatment of proximal humeral fractures with a control group in patients 18 years or older were included. DATA EXTRACTION: Demographic data, functional and pain scores and re-operation rates were extracted. Study quality was determined with the Cochran risk of bias tool and the Grades of Recommendation, Assessment, Development, and Evaluation (GRADE). Heterogeneity was determined with the I-squared statistic. DATA SYNTHESIS: Meta-analysis of included studies using mean difference and odds ratios where appropriate. CONCLUSIONS: Surgical treatment with either locked plates or HA results in similar functional scores and pain outcomes as nonoperative treatment, although plates were associated with higher reoperation rates in 3-part and 4-part fractures. In 3-part and 4-part fractures, RSA results in higher function and pain scores compared with HA. Further high-quality trials should focus on RSA, and further study is required to better define the role of open reduction internal fixation in the younger patient population. LEVEL OF EVIDENCE: Therapeutic Level I. See Instructions for Authors for a complete description of levels of evidence.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.012 | 0.006 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 teacher head, 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".