Ultrasound-Guided Manipulation does not Prevent Malalignment Over Landmark-Based Fracture Reduction in Distal Radius Fracture (Colles)
Why this work is in the frame
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Bibliographic record
Abstract
Introduction: This systematic review aims to determine the relative risk of distal radius (Colles) fracture (DRF) malalignment between ultrasound (USG)-guided and conventional/landmark guided/blind manipulation and reduction (M&R). Methods: We searched 3932 records from major electronic bibliographic databases on USG-guided manipulation of DRF. Studies with randomized, quasi-randomized, and cross-sectional study designs meeting the inclusion criteria were included in this review. USG and landmark-guided DRF manipulations were named cases and controls, respectively. The Newcastle–Ottawa Scale was used to assess the quality of included studies. Results: Thirteen and nine studies were analysed for qualitative and quantitative analysis in this review. Nine hundred fifty-one DRF patients (475 cases and 476 controls) from 9 studies with mean ages of 51.52 ± 11.86 (22–92) and 55.82 ± 11.28 (18–98) years for cases and controls were pooled for this review. The pooled relative risk estimate from the studies included in the meta-analysis was 0.90 (0.74–1.09). There was a 10% decrease in the risk of malalignment with USG than the landmark guided M&R of DRF. The I 2 statistic estimated a heterogeneity of 83%. Sensitivity analysis revealed a relative risk of 1.00 (0.96–1.05). Conclusion: The USG-guided manipulation does not prevent malalignment over the landmark-based manipulation of DRF. The risk of bias across the included studies and heterogeneity of 83% mandates further unbiased, high-quality studies to verify the findings of this review.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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