Oral inflammatory load in patients with coronary artery disease
Bibliographic record
Abstract
Periodontitis is an oral inflammatory disease that may have an association with coronary artery disease (CAD). Oral inflammatory load (OIL) can be quantified by assesment of oral polymorphonucleocytes (oPMN) in an oral rinse assay. The aim of the present study was to prospectively correlate OIL with CAD on angiography assessed in terms of SYNTAX score in patients presenting with stable angina or acute coronary syndrome (ACS). Consecutive eligible patients at a cardiac center were prospectively recruited. Two sets of oral rinse samples were collected before and after angiography, and the relationship between oPMN and SYNTAX score was assessed. Of the 137 patients recruited, 32.8% (n = 45) were female and 34.3% (n = 47) had diabetes mellitus. The overall mean oPMN count was low (mean 1.3 × 105 cells/mL), and the mean SYNTAX score was 7.4 ± 8.5. Most of the patients presented with stable angina (89.8%, n =123). Patients with oPMN ≥1.45 × 105 (periodontitis threshold) were more likely to be elderly males presenting with stable angina. No significant correlation was established between oPMN and SYNTAX score. Although this prospective study did not demonstrate a correlation between OIL and the severity of CAD, most patients had low mean oPMN values. Larger studies are required before definite conclusions can be drawn.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".