El índice de masa corporal como fenotipo en el perfil clínico y funcional en mujeres con osteoartritis de rodilla
Bibliographic record
Abstract
araCeli ortiz-rubio 1 , irene torres-sánCHez 1 , isabel lóPez-torres 1,a , Miguel ángel gallo valleJo 2 , Marie CarMen valenza 1 Association between the functional impact of osteoarthritis and body mass index in womenBackground: Obesity is associated with pain, reduction of function and quality of life in patients with osteoarthritis (OA).Aim: To describe the clinical profile of women with knee OA according to their body mass index (BMI).Material and Methods: Observational study in 308 women with knee OA.According to their BMI, they were classified as normal-weight, overweight and obese.The primary outcome measure was functionality evaluated with the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC).Secondary outcomes were sleep quality evaluated using the Pittsburgh Sleep Quality Index (PSQI) and quality of life assessed with the European Quality of Life Five Dimension (EuroQol-5D).Results: WOMAC, PSQI and EuroQol-5D scores were significantly higher in obese women.Conclusions: Overweight and obese women with OA have more sleep disorders, reduction on functionality and quality of life compared to their normal weight counterparts.
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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 | 0.002 |
| 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 | 0.001 | 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".