Abstract P342: Periodontal Bacteria, Prevalent Prediabetes and Plasma Glucose Progression: The Oral Infections, Glucose Intolerance and Insulin Resistance Study (ORIGINS)
Bibliographic record
Abstract
Introduction: Periodontal infections have been hypothesized as a cardiometabolic risk factor. The relationship between periodontal microbiota and early diabetes risk has not been studied. Hypothesis: We hypothesized that periodontopathic bacteria would be associated with both prevalent pre diabetes and accelerated longitudinal plasma glucose progression among diabetes-free adults. Methods: The Oral Infections, Glucose Intolerance and Insulin Resistance Study (ORIGINS) enrolled 300 diabetes-free adults (77% female) aged 20-55 years (mean=34±10). Prevalent prediabetes was defined as: i) 5.6% Results: Prediabetes prevalence was 18% (54 of 300). RRs(95%CI) summarizing associations between bacteria and pre diabetes were as follows: Aa=2.48[1.34,4.58], p=0.004; Pg=3.41[1.78,6.58], p=0.0003; Td=1.99[0.992,4.00], p=0.052 and Tf=1.95[1.0,3.84], p=0.05; An=0.46[0.25,0.85], p=0.01. Among participants with high baseline values of Pg or Tf, FPG increased by ~2.5 mg/dl during follow-up (all p-values<0.05) while no FPG progression was observed among participants with low baseline bacterial levels. Conclusion: Periodontopathic microbiota are associated with both prevalent prediabetes and longitudinal plasma glucose increase among diabetes-free adults.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".