Differential Pattern of Obesity in Total Hip and Knee Arthroplasty Candidates
Bibliographic record
Abstract
Purpose: This study examined the differential pattern of obesity between men and women with severe OA of the knee or hip joint. The relationship between creatinine, a pro-inflammatory parameter and obesity, sex, and site of joint involvement was examined. Method: This study involved a secondary analysis of prospectively collected data of patients who underwent hip or knee arthroplasty. Results: Data of 5,130 patients (1,989 males, 39%, 3,141 females, 62%), mean age: 66 (11) were used for data analysis. Of these patients, 2,038 patients underwent hip and 3,092 patients underwent knee arthroplasty. Prevalence of obesity (grade I and II) was higher in the TKA group as compared with THA group (55% vs. 38%) with the prevalence of morbid obesity (Grade II) being twice as many in the TKA group (27% vs. 14%), p < 0.001. There was a statistically significant association between obesity and site of joint involvement ( p < 0.001) and for the interaction between sex of the patient and site of arthritis ( p < 0.001). In the TKA group, the sex factor was the only factor that was related to the pre-op creatinine level ( p < 0.001). In THA group, both sex ( p < 0.001) and obesity ( p = 0.002) showed an association with pre-op creatinine. Conclusions: This study provides further evidence that obesity has a multifaceted interaction with osteoarthritis with a differential pattern in hip and knee joints. Creatinine considered as a pro-inflammatory factor appears to have a differential role in hip and knee 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 | 0.000 | 0.001 |
| 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 | 0.000 | 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".