Can Competitive Athletes Sustain High-Level Play Following Osteochondral Allograft Transplantation of the Knee?
Bibliographic record
Abstract
Objectives: The purpose of this study is to investigate the ability of competitive athletes to remain at a high level of competition following osteochondral allograft transplantation (OCA) of the knee. Methods: A retrospective review was performed to identify all competitive athletes (high school, collegiate, professional) who underwent an isolated femoral condyle OCA between 2004 and 2012. Patient reported outcome (PRO) questionnaires (Lysholm, International Knee Documentation Committee (IKDC), Knee Injury and Osteoarthritis Outcome Score (KOOS), Western Ontario and McMasters Universities Arthritis Index (WOMAC), Short Form-12 (SF-12), Tegner, and Marx) and custom return-to-sport surveys were administered. All subsequent reoperations were documented. Results: A total of 13 (7 male, 6 female) athletes were identified with an average follow-up of 5.9 ± 2.5 years. Four athletes competed at an intercollegiate level, while 9 played high-level high-school sports. Seven athletes returned to competitive sport (54%) at an average of 7.9 ± 3.5 months, five of whom were returned to pre-injury levels of play. Of the eight athletes who either did not return to sport or failed to sustain their high level of play, the most common reasons cited were a change in life circumstances, such as graduation, or a fear of re-injury (Figure 1). At final follow-up, regardless of return-to-play, all athletes had significant improvements in all PRO scores except for KOOS-Sport, WOMAC-Stiffness, and SF-12 Mental subscales. Tegner Activity scores dropped significantly from pre-injury to final follow-up (8.2 ± 2.4, 4.5 ± 2.1, p < 0.01). There were three reoperations and zero instances of graft failure. Conclusion: OCAs provide acceptable rates of return-to-play and excellent long-term outcomes for high-level athletes with large osteochondral defects. Social factors are three times more likely than persistent pain to prevent return to sport.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".