Delayed fixation of distal radial fractures beyond three weeks after initial failed closed reduction increases the odds of reoperation
Bibliographic record
Abstract
Aims: We aimed to compare reoperations following distal radial fractures (DRFs) managed with early fixation versus delayed fixation following initial closed reduction (CR). Methods: We used administrative databases in Ontario, Canada, to identify DRF patients aged 18 years or older from 2003 to 2016. We used procedural and fee codes within 30 days to determine which patients underwent early fixation (≤ seven days) or delayed fixation following CR. We grouped patients in the delayed group by their time to definitive fixation (eight to 14 days, 15 to 21 days, and 22 to 30 days). We used intervention and diagnostic codes to identify reoperations within two years. We used multivariable regression to compare the association between early versus delayed fixation and reoperation for all patients and stratified by age (18 to 60 years and > 60 years). Results: We identified 14,960 DRF patients, 8,339 (55.7%) of whom underwent early surgical fixation (mean 2.9 days (SD 1.8)). In contrast, 4,042 patients (27.0%) underwent delayed fixation between eight and 14 days (mean 10.2 days (SD 2.2)), 1,892 (12.7%) between 14 and 21 days (mean 17.5 days (SD 1.9)) and 687 (4.6%) > 21 days (mean 24.8 days (SD 2.4)) post-fracture. Patients who underwent delayed fixation > 21 days post-fracture had a higher odds of reoperation (odds ratio (OR) 1.33 (95% CI 1.11 to 1.79) vs early fixation). This worsened for patients aged > 60 years (OR 1.69 (95% CI 1.11 to 2.79)). We found no difference in the odds of reoperation for patients who underwent delayed fixation within eight to 14 or 15 to 21 days post-fracture (vs early fixation). Conclusion: These data suggest that DRF patients with fractures with unacceptable reduction following CR should be managed within three weeks to avoid detrimental outcomes. Prospective studies are required to confirm these findings.
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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 | 0.001 |
| 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 | 0.001 |
| 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 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".