Lateral cartilage defects and medial subchondral surface ratio are associated with knee‐related disability
Bibliographic record
Abstract
We sought to determine the relationship between (i) full-thickness cartilage defects and tibiofemoral subchondral surface ratio (SSR) and (ii) disability and quality of life in patients with mild radiographic osteoarthritis (OA) (Kellgren-Lawrence grade 2) or without radiographic OA (Kellgren-Lawrence grades 0 or 1)? A total of 642 participants from the Osteoarthritis Initiative (OAI) with baseline knee MRIs and a Kellgren-Lawrence grade 2 or less on both bilateral screening radiographs were included. The independent relationship was assessed between (i) full-thickness cartilage defect presence and tibiofemoral SSR and (ii) Knee Injury and Osteoarthritis Outcome Score (KOOS) quality of life (QOL), KOOS function in sports and recreation (KOOS-sport/rec), and Western Ontario and McMaster Universities Arthritis Index (WOMAC) disability score after adjustment for relevant confounders with multivariate regression modeling. The prevalence of medial full-thickness defects was 10.4% (67/642) and lateral was 18.1% (116/642). Lateral defect presence was associated with worse KOOS-QOL (beta -3.61 SE 1.04; p = 0.001), KOOS-sport/rec (beta -4.70 SE 1.38; p = 0.001) and WOMAC-disability scores (beta 0.02 SE 0.01; p = 0.001); these associations were not influenced by defect size. A larger medial compartment SSR was associated with worse KOOS-QOL (beta -27.20 SE 6.80; p < 0.001), KOOS-sports/rec (beta -22.30 SE 9.01; p = 0.01) and WOMAC-disability scores (beta 0.16 SE 0.04; p < 0.001). In older adults with little to no radiographic osteoarthritis, lateral full-thickness cartilage defects, irrespective of size, and a larger medial compartment tibiofemoral SSR are potential sources of knee-related symptoms that are not appreciated on standard radiographs. © 2018 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 37:378-385, 2019.
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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 | 0.003 |
| 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 | 0.000 | 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".