The lateral radiograph is useful in predicting shortening in 31A2 pertrochanteric hip fractures
Bibliographic record
Abstract
BACKGROUND: We sought to determine if angulation or translation measured on the lateral preoperative injury radiographs of patients with 31A2 pertrochanteric fractures is related to excessive postoperative shortening when treated with a sliding hip screw. METHODS: We retrospectively reviewed the radiographs of consecutive patients with hip fractures treated at a level I university trauma centre between 2003 and 2008. Patients with 31A2 pertrochanteric fractures treated with a sliding hip screw were identified through a search of medical records. The study variables were angulation and translation on the preoperative injury lateral radiograph. The outcome measure was radiographic evidence of fracture shortening, measured as the change in length of sliding hip screw visible outside the barrel between the time of fixation and final follow up. RESULTS: Of the 131 patients treated, 23 met our inclusion criteria and had sufficient follow-up (mean 6.4 mo). The average shortening for 31A2 fractures with angulation on the injury lateral radiograph was 1.83 (95% confidence interval [CI] 1.18-2.47) cm, compared with 0.93 (95% CI 0.49-1.36) cm for fractures with no angulation (p = 0.019). There was no statistical difference in quality of reduction, tip-apex distance, Orthopedic Trauma Association (AO/OTA) classification or incidence of lateral wall fracture across groups based on the presence of angulation. CONCLUSION: Angulation on the lateral preoperative injury radiograph may be useful in predicting excessive shortening in 31A2 pertrochanteric fractures. Further investigation is warranted to confirm this result and to identify the role of other predictors, such as fracture comminution.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".