Periodontitis and rheumatoid arthritis: epidemiologic, clinical, and immunologic associations.
Bibliographic record
Abstract
UNLABELLED: THE PURPOSE OF REVIEW: Rheumatoid arthritis (RA) is a prevalent autoimmune-mediated, chronic inflammatory disorder that has been found in multiple epidemiologic studies to be associated with periodontal disease (PD). Despite the extensive epidemiologic evidence, the biologic basis of this association remains unclear. This article focuses on new insights into the potential mechanisms underlying the association between PD and RA. RECENT FINDINGS: Chronic periodontal and synovial inflammation share many common pathologic, cellular, and molecular features. In particular, the mechanisms involved in the destruction of the adjacent connective tissues are quite similar. Recent studies have shown anti-citrullinated protein antibodies (ACPA) that are highly specific for RA are detectable years before disease development. Emerging evidence suggests the oral pathogen porphymonas gingivalis may serve to break immune tolerance or amplify autoimmune responses to citrullinated antigens and, in turn, ultimately initiate RA in genetically susceptible persons. SUMMARY: Recognition of the association between RA and PD on both a clinical and biologic level may provide new opportunities for intervention that will modify the course of both of these prevalent chronic inflammatory disorders. Furthermore, an enhanced understanding of the early events that initiate RA may result in strategies that prevent disease-onset.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".