Loss of Independence After Operative Management of Femoral Neck Fractures
Bibliographic record
Abstract
OBJECTIVES: The FAITH trial evaluated effects of sliding hip screws versus cancellous screws in femoral neck fracture patients. Using FAITH trial data, we quantified changes in living status, use of aids, and investigated factors associated with living and walking independently 12 months after fracture. METHODS: We conducted a descriptive analysis to quantify patients' changes in living status, use of aids, and used multivariable Cox regression analyses to determine factors associated with living and walking independently after fracture. RESULTS: Of patients who lived independently before hip fracture, 3.07% (50-80 years old) and 19.81% (>80 years old) were institutionalized 12 months after injury. Of patients who were walking independently before injury, 33.62% (50-80 years old) and 69.34% (>80 years old) required a walking aid 12 months after injury. Factors associated with higher chances of living independently included the following: being between 50 and 80 years, having a class I American Society of Anesthesiologists classification, not using a walking aid before fracture, being a nonsmoker or former smoker, and having an acceptable quality of implant placement. Factors associated with higher chances of walking without an aid included the following: being between 50 and 80 years, having a class I American Society of Anesthesiologists classification, living independently before fracture, being a nonsmoker or former smoker, having an undisplaced fracture, and not requiring revision surgery. CONCLUSIONS: Femoral neck fracture patients suffer great losses of independence. Identifying factors associated with living and walking independently after hip fracture may help surgeons better identify which patients are at risk and optimize care of patients with this injury. LEVEL OF EVIDENCE: Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".