Minimally Invasive Two-Incision Total Hip Arthroplasty for Treating Acute Displaced Femoral Neck Fractures in Active Elderly Patients
Bibliographic record
Abstract
Purpose: The purpose of this study was to evaluate the short term follow-up results of minimally invasive (MI) two-incision total hip arthroplasty (THA) for treating acute displaced femoral neck fractures in active elderly patients. Materials and Methods: We performed a retrospective review of 39 cases (average age: 72 years old, range: 60 years and above) of elderly patients who underwent MI two-incision THA within 30 days of their injury for treating displaced acute femoral neck fracture s. They were followed up for a minimum of 12 months. Clinical evaluation was done by comparing the pre-injury and postoperative daily activities, the Harris Hip score (HSS) and the Western Ontario and McMaster University (WOMAC) score. The radiographs were checked to evaluate for implant alignment and periprosthetic abnormalities. The postoperative complications were analyzed. Results: The average postoperative HSS was 88.3 and the average WOMAC s core was 28.8. All the patients were able to walk without any assistive device. One patient had a HHS of less than 70. There were 2 dislocations but there was no recurrence. Radiographically, there was no case with a limb length discrepancy of more than 5mm. The femoral stems did not reveal any subsidence of more than 5mm. Other complications such as osteolysis, infection, neurologic injury and intraoperative periprosthetic fracture were not noted. Especially, no patient complained of any groin pain, which often occurs after bipolar hemiarthroplasty. Conclusion: The short term follow-up results were good for MI two-incision THA to treat acute displaced femoral neck fractures in active elderly patients, and these procedures were done by an experienced hip surgeon.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.001 | 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".