Comparison of Minimally Invasive Total Hip Arthroplasty versus Conventional Hemiarthroplasty for Displaced Femoral Neck Fractures in Active Elderly Patients
Bibliographic record
Abstract
Fractures of the femoral neck in elderly patients can be treated by internal fixation, hemiarthroplasty, or total hip arthroplasty (THA), and the treatment modality used should be determined on the basis of considerations of the degree of fracture displacement, age, functional demands, and the risk factors for surgery and anesthesia. We studied 85 active elderly patients who underwent minimally invasive two-incision THA or conventional bipolar hemiarthroplasty (BHA) within 2 weeks of injury for the treatment of acute displaced femoral neck fractures. Patients were followed up for a minimum of 24 months. The average operation times were 70 minutes in the THA group and 46 minutes in the BHA group (p=0.002), and average blood losses during the perioperative period were 921 cc and 892 cc, respectively (p=0.562). In the THA group, the average postoperative Harris hip score was 88.3 and the average Western Ontario and McMaster University score was 28.8, whereas in the BHA group the corresponding scores were 80.4 (p=0.006) and 32.5 (p=0.012), respectively. There were 2 cases of hip dislocation in the THA group, and 2 cases in the BHA group underwent conversion to THA. Our short-term follow-up results were better for minimally invasive two-incision THA than for conventional BHA for the treatment of acute displaced femoral neck fractures in active elderly patients.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.000 |
| 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 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".