Visceral Fat Reflects Disease Activity in Patients with Ankylosing Spondylitis
Bibliographic record
Abstract
PURPOSE: Response to infliximab treatment diminishes as body mass index (BMI) increases in patients with ankylosing spondylitis (AS). The purpose of the study was to determine if diminished response to infliximab treatment in patients with AS could be associated with increased visceral adipose tissue rather than increased BMI. METHODS: Twenty six AS patients (21 males and five females) who fulfilled the modified New York criteria and who were currently receiving infliximab treatment were enrolled in the study. Pain was measured by the visual analogue scale (VAS). The disease activity and functional status were assessed by the Bath AS Disease Activity Index (BASDAI) and the Bath AS Functional Index (BASFI). The Bath AS Metrology Index (BASMI) was used to evaluate mobility restrictions. Weight and visceral body composition were measured without shoes in light indoor clothes using a bio-impedance meter. RESULTS: There was a significant correlation between visceral adipose tissue amount and disease activity under infliximab treatment. In correlation analysis, visceral fat showed significant correlations between BASDAI (r=0.545, p=0.004) and VAS (r=0.458, p=0.019). Total body fat also showed a significant correlation with BASDAI (r=0.463, p=0.017). CONCLUSION: A significant correlation was found between visceral adipose tissue amount and disease activity in patients with AS.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".