Operative treatment of displaced midshaft clavicle fractures: has randomised control trial evidence changed practice patterns?
Bibliographic record
Abstract
Objectives To determine if level 1 evidence from a landmark trial changed practice patterns for treatment of patients with displaced midshaft clavicle fractures. Design Retrospective cohort study. Setting Two level 1 trauma centres. Participants Displaced midshaft clavicle fractures. Results 686 patients met inclusion criteria. The pretrial cohort (n=108) was 68.5% male, with a mean age of 37.7 (±13.9) years. The post-trial cohort (n=578) was 76.1% male, with a mean age of 41.9 (±12.7) years. There was nearly a 10-fold increase in the patients treated with openreduction and internal fixation (ORIF) in the post-trial cohort (34.1%) compared with the pretrial cohort (3.7%) (p<0.001). Patients in the post-trial cohort were more likely to undergo ORIF if they were <40 years (OR=2.2; 95% CI 1.53 to 3.10), if their Injury Severity Score was >9 (OR=1.6; 95% CI 0.89 to 2.99) or if they were treated at a centre that participated in the Canadian Orthopaedic Trauma Society ( COTS ) trial (OR=5.2; 95% CI 3.31 to 8.21). Conclusions This study demonstrated a significant shift towards more frequent ORIF for displaced midshaft clavicle fractures following the COTS trial. Quantifying changes in practice pattern following publication of level 1 evidence is important to further our understanding of the impact large randomised clinical trails are having on clinical practice.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.072 | 0.201 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".