Donor-Site Morbidity After Osteochondral Autologous Transplantation for Lesions of the Talus
Bibliographic record
Abstract
BACKGROUND: Autologous osteochondral transplantation is accepted as one of the major treatment options for cartilage defects of the talus. One disadvantage of this technique is the need to harvest a donor graft from a normal knee. The potentially detrimental effect of graft harvest on knee function remains unclear. METHODS: Two hundred patients who had transplantation of an autologous osteochondral graft obtained from an asymptomatic knee for the treatment of an osteochondral defect of the talus were evaluated. Of the 200 patients, 112 were followed for a minimum of two years (mean duration of follow-up, fifty-five months). The WOMAC (Western Ontario and McMaster Universities Osteoarthritis Index) and the Lysholm score were used to assess functional outcome. Variables that were examined included the number of grafts, total size of the harvested cylinders, patient age, body mass index, and overall satisfaction of the patient with the result of the procedure at the knee. A multiple linear regression analysis was utilized to determine the influence of each parameter on the WOMAC and Lysholm scores. In addition, the Lysholm scores for the entire patient group were reviewed to determine how long after the index surgery clinical improvement ceased. RESULTS: The mean postoperative WOMAC score (and standard deviation) for the 112 patients who had been followed for a minimum of two years was 5.5% +/- 0.1%, and the mean postoperative Lysholm score was 89 +/- 17 points. The number of grafts, the size of the transplanted cylinders, and patient age did not influence either the Lysholm or the WOMAC score. A higher body mass index and lower general satisfaction ratings did negatively influence the Lysholm and WOMAC scores. Gradual clinical improvement, as measured with the Lysholm score for all 200 study subjects, continued throughout the postoperative period. CONCLUSIONS: Donor-site morbidity of a knee from which a graft has been harvested can potentially lead to functional impairment. In our study, the functional outcome of the knee was not affected by the number of donor grafts, the size of the donor grafts, or the age of the patient. Surgeons performing osteochondral transplantations and harvesting autografts from the knee should be aware of the potentially negative effect of a higher body mass index on clinical outcomes after surgery.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".