From Early Radiographic Knee Osteoarthritis to Joint Arthroplasty: Determinants of Structural Progression and Symptoms
Bibliographic record
Abstract
OBJECTIVE: To assess structural progression in knees with no/mild radiographic osteoarthritis (OA) (i.e., Kellgren/Lawrence [K/L] grades 0-2) that will undergo knee replacement during a 5-year period; to assess differences in structural damage on magnetic resonance imaging (MRI) in knees with no/mild radiographic OA versus those with severe radiographic OA (i.e., K/L grades 3 and 4) at baseline; and to assess differences in pain levels between those groups. METHODS: All participants who underwent knee replacement from baseline to 60 months were drawn from the Osteoarthritis Initiative. MRIs were assessed for bone marrow lesions (BMLs), Hoffa synovitis, and effusion synovitis (i.e., hyperintensity signal changes in the fat pad and abnormal amount of capsular distension due to intraarticular joint fluid and/or synovial thickening) at baseline and at the time point before knee replacement (T0). The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) and Knee Injury and Osteoarthritis Outcome Score (KOOS) pain were used for pain characterization. WOMAC activities of daily living and KOOS quality of life were applied to characterize functional status of the included participants. Logistic regression was used to assess the association of no/mild radiographic OA with these MRI features and pain. RESULTS: Based on inclusion criteria, 181 knees were selected. Participants were predominantly female (57.8%) with a mean age of 64.4 years. A total of 51 knees (28.2%) had no/mild radiographic OA at baseline. Of these, 51.0% progressed to severe radiographic OA. No/mild radiographic OA knees showed higher odds of BMLs in the patellofemoral joint at baseline (odds ratio [OR] 7.92 [95% confidence interval (95% CI) 3.45-18.16]) and T0 (OR 9.44 [95% CI 4.00-22.28]) compared to severe radiographic OA knees. In addition, no/mild radiographic OA knees were associated with change from no pain to pain from baseline to T0 (adjusted OR 5.48 [95% CI 1.25-24.00]). CONCLUSION: More than half of the knees with no/mild radiographic OA before knee replacement progressed to severe radiographic OA during 4 years of follow-up. BMLs in the patellofemoral joint were more often seen among knees that had no/mild radiographic OA. Worsening pain status may contribute to knee replacement in knees with no/mild radiographic OA.
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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 | 0.004 |
| 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 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".