Plasma levels of leptin and visfatin in rheumatoid arthritis patients; is there any relationship with joint damage?
Bibliographic record
Abstract
OBJECTIVE S: Rheumatoid arthritis (RA) is a chronic systemic inflammatory disorder, primarily targeting the synovium and articular cartilage that leads to joint damage. Recent reports have suggested the role of adipocytokines in mediating joint damage; however it still is a matter of debate. The purpose of this study was to evaluate the association between serum values of adiopocytokines (leptin, visfatin) and radiographic joint damage in patients with RA. MATERIALS AND METHODS: Fifty-four patients diagnosed with RA, based on Revised ACR Criteria 2010, with 1-5 year disease duration since diagnosis, were enrolled. Twenty-nine of patients had erosion in radiographic studies and 25patients had no erosion. Radiographic joint damages were defined according to Larsen Score. Additionally, serum levels of adipocytokines were measured and cross-sectional associations with radiographic damage were explored, adjusting for pertinent confounders. RESULTS: The serum level of visfatin were significantly higher in patients with radiographic joint damage compared with patients with no joint damage (P=0.013). This difference remained significant after adjustment for C-reactive protein levels (P=0.008), but not after adjustment for disease duration (P=0.247). The mean leptin serum levels were not different between these two groups (P=0.903). There was a positive correlation between leptin levels and BMI (r=0.494, P<0.001). However, after adjustment for BMI, leptin levels had no difference between two groups (P=0.508). CONCLUSION: This study revealed that visfatin levels were significantly higher in patients with radiographic joint damage dependently to disease duration. Therefore, it seems that adipocytokine may be a valuable factor in therapeutic targets in the future.
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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 | 0.001 | 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".