Time to surgical management of distal radius fractures: effects on health care utilization and functional outcomes
Bibliographic record
Abstract
BACKGROUND: Distal radius fractures are common injuries. Open reduction and internal fixation with volar locking plates is the most common approach for surgical fixation. This study investigated the association between time to surgery and health care utilization, income, and functional outcomes among patients undergoing open reduction and internal fixation for distal radius fracture. METHODS: (or Fisher exact) and Wilcoxon rank sum (or Kruskal-Wallis) tests to provide statistical comparison of time to surgery by health care utilization and functional outcomes. Univariable and multivariable logistic regression analyses were performed to identify factors significantly associated with time to surgery. We included all significant univariables in the multivariable logistic regression model, which identified factors based on significant adjusted odds ratios (95% confidence intervals excluding the null) after we adjusted for confounding variables. RESULTS: We included 106 patients, with 36 (34.0%) in the group receiving early treatment and 70 (66.0%) in the group receiving delayed treatment. Patients in the delayed-treatment group attended significantly more clinic visits and postoperative hand therapy sessions. The group with delayed treatment demonstrated significantly lower degrees of wrist flexion at the first follow-up, but this difference did not persist. Patients with higher estimated income (> $39 405 per annum) had lower odds of delayed surgery than those with lower estimated income (≤ $39 405). CONCLUSION: Delayed time to surgery was associated with greater health care utilization and lower degrees of early wrist flexion. Access to care for lower-income patients warrants further evaluation.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.002 | 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".