Low value Injury Care in the Adult Orthopaedic Trauma Population: A Systematic Review
Bibliographic record
Abstract
Objectives. Fifteen potentially low value practices in adult orthopaedic trauma care were previously identified in a scoping review. The aim of this study was to synthesize the evidence on these practices. Methods. We searched four databases for systematic reviews, randomized controlled trials (RCTs), cohort studies and case series that assessed the effectiveness of selected practices. Methodological quality was evaluated using the Measurement Tool to Assess Systematic Reviews version 2 (AMSTAR-2) for systematic reviews and the Critical Appraisal Checklist for Case Series. We evaluated risk of bias with the Cochrane revised tool for RCTs and the risk of bias in non-randomized studies of interventions tool for observational studies. We summarized findings with measures of frequency and association for primary outcomes. Results. Of the 30,670 records screened, 70 studies were retained. We identified high-level evidence of lack of effectiveness or harm for routine initial imaging of ankle injury, orthosis for A0-A3 thoracolumbar burst fracture in patients < 60 years of age, cast or splint immobilization for suspected scaphoid fracture negative on MRI or confirmed fifth metacarpal neck fracture, and routine follow-up imaging for distal radius and ankles fractures. However, evidence was mostly based on studies of low methodological quality or high risk of bias. Conclusion. In this review, we identified clinical practices in orthopedic injury care which are not supported by current evidence and whose use may be questioned. In future research we should measure their frequency, assess practice variations and evaluate root causes to identify practices that could be targeted for de-implementation.
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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 | 0.024 | 0.121 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.016 | 0.016 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".