The Effects of Chronic Periodontitis and Rheumatoid Arthritis on Serum and Gingival Crevicular Fluid Total Antioxidant/Oxidant Status and Oxidative Stress Index
Bibliographic record
Abstract
BACKGROUND: Chronic periodontitis (CP) and rheumatoid arthritis (RA) appear to share many pathologic features. Oxygen metabolism has an important role in the pathogenesis of both CP and RA. The aim of this study is to evaluate the relationship between these two chronic inflammatory diseases with regard to antioxidant and oxidant status. METHODS: A total of 80 participants were divided into four groups of 20 each: group RA-CP (patients with RA and CP), group RA (periodontally healthy patients with RA), group CP (systemically healthy patients with CP), and group C (periodontally and systemically healthy volunteers) were included in the study. After assessment of periodontal measurements, gingival crevicular fluid (GCF) samples were taken at one incisor, premolar, and molar tooth and stored with serum samples at -80°C for the antioxidant/oxidant assay. RESULTS: Although all clinical measurements in groups RA-CP and CP were statistically higher compared to those of C and RA groups (P <0.001), there were no differences between CP and RA-CP groups (P >0.05). GCF total oxidant status (TOS) values of CP and RA-CP groups were higher than those of the RA group (P <0.05). GCF oxidative stress index (OSI) values of the RA-CP group were higher than those of the RA group (P <0.05). There were no differences among the groups in terms of serum TOS and OSI values (P >0.05). CONCLUSIONS: Local OSI values in groups with patients with CP were higher, whereas systemic OSI values showed no difference among the groups. The presence of RA seems not to affect local and systemic OSI values in patients with CP.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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".