Clinical evaluation of core decompression with bone marrow aspirate concentrate in early-stage avascular necrosis of the hip: a prospective observational study
Bibliographic record
Abstract
Background: To evaluate the efficacy of core decompression (CD) combined with bone marrow aspirate concentrate (BMAC) in early-stage avascular necrosis (AVN) of the hip by assessing pain, stiffness, functional impairment and quality of life (QOL). Methods: This prospective observational study was conducted at Gemcare Kamineni Hospital, Kurnool, on 46 patients with early-stage AVN (ARCO I–III). Patients underwent CD with BMAC. Outcomes were assessed pre- and post-operatively using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scale. Data were analyzed using paired t-test. Results: Mean pain severity score decreased from 4.18±0.90 pre-operatively to 2.50±0.86 post-operatively (p<0.05). Joint stiffness improved from 3.31±0.76 to 2.15±0.76 (p<0.05). Physical functioning score improved from 3.68±0.86 to 2.38±0.78 (p<0.05). Total WOMAC score reduced significantly from 3.75±0.90 to 2.38±0.80 (p<0.05). Conclusions: Core decompression combined with BMAC provides significant pain relief, improves hip function and enhances quality of life in early-stage AVN, delaying disease progression and the need for total hip arthroplasty.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".