The Role of Autologous Chondrocyte Implantation in the Patellofemoral Joint
Bibliographic record
Abstract
UNLABELLED: In a prospective study to determine the clinical effectiveness of autologous chondrocyte implantation, 45 patients reached a minimum followup of 2 years (range, 2-7 years; average, 46.4 months) after treatment involving the patellofemoral articulation. There were 28 men (61%) and 17 women (39%) and the average age of the patients was 37.5 years (range, 15-55 years). The treatment groups included (I) isolated patella, n = 8; (II) isolated trochlea, n = 9; (III) patella plus trochlea, n = 4; (IV) weightbearing condyle plus patella n = 2; (V) weightbearing condyle plus trochlea, n = 2; and (VI) weightbearing condyle plus patella plus trochlea n = 20. The average surface area per patella (n = 34) was 4.86 cm2 and per trochlea (n = 34) it was 5.22 cm2. The average resurfacing per knee (n = 45) was 10.45 cm2. We showed a postoperative improvement in quality of life as measured by the Short Form-36; Western Ontario and McMaster University Score, Knee Society Score, modified Cincinnati Score, and a patient satisfaction survey. There were eight failures (18%) as a result of a patella or trochlea failure. Seventy-one percent of patients rated their outcomes as good or excellent, 22% rated outcome as fair, and 7% rated outcome as poor. LEVEL OF EVIDENCE: Therapeutic Study, Level II-1 (prospective cohort study). See the Guidelines for Authors for a complete description of levels of evidence.
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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 | 0.000 | 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".