Mediating Role of Bone Marrow Lesions, Synovitis, Pain Sensitization, and Depressive Symptoms on Knee Pain Improvement Following Substantial Weight Loss
Bibliographic record
Abstract
OBJECTIVE: Massive weight loss leads to marked knee pain reduction in individuals with knee pain, but the reason for the reduction in pain is unknown. This study was undertaken to quantify the contribution of magnetic resonance imaging (MRI)-evidenced changes in pain-sensitive structures, bone marrow lesions (BMLs), and synovitis, and changes in pain sensitization or depressive symptoms, to knee pain improvement after substantial weight loss. METHODS: Morbidly obese patients with knee pain on most days were evaluated before bariatric surgery or medical weight management and at 1-year follow-up for BMLs and synovitis seen on MRI, the pressure pain threshold (PPT) at the patella and the right wrist, depressive symptoms (using the Center for Epidemiologic Studies Depression scale [CES-D]), and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain survey. Natural-effects models were used to quantify the extent that achieving a minimum clinically important difference (MCID) of ≥18% on the WOMAC pain scale could be mediated by weight loss-induced changes in BMLs, synovitis, PPT, and depressive symptoms. RESULTS: Of 75 participants, 53.3% lost ≥20% of weight by 1 year. Of these, 75% attained the MCID for pain improvement, compared with 34.3% in those who had <20% weight loss. Mediation analyses suggested that, in those with at least 20% weight loss, the odds of pain improvement increased by 62%, 15%, and 22% through changes in patella PPT, wrist PPT, and CES-D, respectively, but pain improvement was not mediated by MRI changes in BMLs or synovitis. CONCLUSION: Weight loss-induced knee pain improvement is partially mediated by changes in pain sensitization and depressive symptoms but is independent of MRI changes in BMLs and synovitis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".