Mid- to long-term results of modified non-vascularized allogeneic fibula grafting combined with core decompression and bone grafting for early femoral head necrosis
Bibliographic record
Abstract
PURPOSE: The aim of this study was to determine mid-and-long term follow-up results of patients with early femoral head osteonecrosis who were treated by modified free vascularized fibular grafting combined with core decompression and bone grafting. METHODS: Forty-four patients at early ONFH were included in this study. Visual analog scale (VAS) pain scores, range of hip motion (ROM), and Harris hip score (HHS) were recorded to assess the clinical outcome; Western Ontario McMaster Osteoarthritis index (WOMAC) scores and Short Form 36 health survey (SF-36) were conducted to measure the living quality; X-ray film or magnetic resonance imaging (MRI) was used to evaluate radiographic progression; survivorship was defined as patients did not undergo the total hip arthroplasty (THA) or fusion at the last follow-up. Median follow-up was 7.4 years (6-8.2 years). RESULTS: The mean VAS score, ROM, and HHS were significantly improved at the final follow-up compared with preoperative values (p < 0.001). Health assessment including WOMAC scores and SF-36 were also better than those preoperatively (p < 0.001). Seven patients progressed to Ficat III and the four patients progressed to Ficat IV with osteoarthritis. Eight patients who cannot tolerate the pain and had poor living quality underwent THA. CONCLUSION: Modified non-vascularized allogeneic fibula Grafting combined with core decompression and bone grafting could improve the clinical outcomes and enhance the quality of life for patients with early ONFH.
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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 | 0.000 |
| 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".