SP748PERIODONTITIS AND EARLY MORTALITY IN ADULTS WITH KIDNEY FAILURE TREATED WITH HEMODIALYSIS: A MULTINATIONAL OBSERVATIONAL STUDY
Bibliographic record
Abstract
Introduction and Aims: Periodontitis is associated with cardiovascular mortality in the general population and adults with chronic diseases, however prognostic data for periodontitis in the setting of kidney failure are sparse. The aim of the study was to evaluate whether periodontitis was prognostic for all-cause and cardiovascular-related death in adults with kidney failure. Methods: ORALD is a multinational cohort study in adults with kidney failure treated with haemodialysis in Europe (France, Hungary, Italy, Poland, Portugal and Spain) and Argentina. Periodontitis was measured at baseline according to the World Health Organization Community Periodontal Index. The outcomes were all-cause and cardiovascular mortality. Analyses were conducted using a fixed-effect Cox proportional hazards analysis and additionally using a random effects model fitted using shared frailty to account for clustering within countries. Results: Periodontitis was evaluable in 3338 dentate participants of which 1355 (40.6%) had moderate to severe periodontitis. During 6150 person-years of follow-up, 650 deaths occurred of which 325 were cardiovascular. In multivariable analyses, moderate to severe periodontitis was associated with a lower hazard of all-cause (HR 0.76, 95% confidence interval 0.64 to 0.90) and cardiovascular (0.69, 0.54 to 0.87) mortality. There was evidence of decreasing mortality risks with more severe periodontal disease (P≤0.001 for trend). However, when analyses accounted for clustering of participants within countries, the associations between periodontitis and all-cause (0.92, 0.75 to 1.11) and cardiovascular (0.83, 0.63 to 1.09) mortality were not significant. Similar results were observed in analyses restricted to participants with 12 or more teeth and when competing risks for cardiovascular death were considered.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".