BMI and Severity of Clinical and Radiographic Signs of Hip Osteoarthritis
Bibliographic record
Abstract
Obesity might be involved in the pathogenesis of osteoarthritis (OA) not only via increased mechanical loading, but also via an inflammatory component possibly causing increased pain and functional disability. The study aim was to examine the relationship between BMI and clinical symptoms as well as radiographic severity of OA in patients scheduled for primary total hip arthroplasty (THA). We conducted a cross-sectional study of 855 patients scheduled for a first THA for primary OA at a single centre between November 2001 and December 2006. The primary outcome was clinical and radiographic severity of OA, which was evaluated in four BMI categories (18.5-24.9, 25-29.9, 30-34.9 and > or =35 kg/m(2)). We used the Harris Hip Score (HHS) and the Western Ontario McMaster Universities Osteoarthritis Index (WOMAC) to assess pain and function. The severity of radiographic hip joint damage was evaluated using the Kellgren-Lawrence classification. Multivariate analyses were performed to adjust for potential confounders. In patients scheduled for THA, increasing BMI was associated with significantly higher levels of pain and functional disability on both HHS (P for trend <0.001) and WOMAC (P for trend <0.001). However, the degree of radiographic joint damage remained similar across BMI categories. These findings emphasize the need to further investigate the potential pathogenic role of obesity and low-grade inflammation in OA and underscore the importance of obesity prevention to avoid early prosthetic replacement of the hip.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".