Femoral Neck Complications in Isolated Femoral Neck Fractures Versus Ipsilateral Femoral Neck and Shaft Fractures
Bibliographic record
Abstract
OBJECTIVES: There are limited data on the difference in outcomes between patients with isolated femoral neck fractures (IsoFN) and those with a femoral neck and ipsilateral femoral shaft fracture (IpsiFNS) in terms of osteonecrosis, nonunion, and revision surgery rates. We hypothesized that displaced IsoFN fractures would have higher rates of femoral neck nonunion, osteonecrosis, and hip revision surgery than displaced IpsiFNS fractures. Comparisons were made to determine the relationship between these outcomes and other variables. METHODS: A retrospective review of patients age 18 to 55 years from 2005 to 2020 at two level-I trauma academic institutions was performed, identifying 107 patients in total (IpsiFNS 51, IsoFN 56). The review analyzed the rates of displacement, osteonecrosis, nonunion, and revision surgery. Further comparisons were made to determine the effect of reduction quality, fixation method, and reduction type on these outcomes. RESULTS: Patients with displaced IsoFN had a significantly higher nonunion, revision surgery and osteonecrosis rate (38.5%, 38.5%, 17.3%) than in patients with IpsiFNS (6.7%, 13.3%, 0%; P = 0.004, P = 0.010, P = 0.016 respectively). There was a relationship between nonunion and femoral neck fixation with fully threaded screws (P = 0.036 and P = 0.004). Among patients who underwent an open reduction, nonunion rates were significantly higher for displaced IsoFN than for displaced IpsiFNS (7.4% vs. 43.2%, P = 0.008). Osteonecrosis rates had a relationship with reduction quality (P = 0.044). CONCLUSIONS: Patients with a displaced isolated femoral neck fractures are at higher risk for nonunion, osteonecrosis, and revision surgery than those with a displaced femoral neck fracture associated with an IpsiFNS. Quality of reduction had a relationship with osteonecrosis rates. An open approach to the neck reduction was associated with nonunion at a higher rate in displaced IsoFN than in displaced IpsiFNS. A fixation construct of multiple cancellous independent screws that included fully threaded screws had higher odds for nonunion.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
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".