Oral mucosal lesions and risk of all-cause and cardiovascular mortality in people treated with long-term haemodialysis: The ORAL-D multinational cohort study
Bibliographic record
Abstract
BACKGROUND: Chronic kidney disease is a risk factor for oral diseases, which may be associated with premature death. We evaluated the risk of all-cause and cardiovascular mortality associated with oral mucosal lesions in adults with kidney failure treated with long-term haemodialysis. METHODS: Oral mucosal lesions (herpes, ulceration, neoformation, white lesion, red lesion, oral candidiasis, geographical tongue, petechial lesions, and fissured tongue) were evaluated within the Oral Diseases in Haemodialysis (ORAL-D) study, a multinational cohort study of 4726 haemodialysis adults. We conducted cox regression analyses adjusted for demographic and clinical variables to evaluate the association with all-cause and cardiovascular mortality. RESULTS: Overall, 4205 adults (mean age 61.6 ± 15.6 years) underwent oral mucosal examination with 40% affected by at least one lesion. The prevalence of oral lesions was (in order of frequency): oral herpes 0.5%, mucosal ulceration 1.7%, neoformation 2.0%, white lesion 3.5%, red lesion 4.0%, oral candidiasis 4.6%, geographical tongue 4.9%, petechial lesions 7.9%, and fissured tongue 10.7%. During median follow-up of 3.5 years, 2114 patients died (1013 due to cardiovascular disease). No association was observed between any individual oral lesion and all-cause or cardiovascular mortality when adjusted for comorbidities, except for oral candidiasis, which was associated with all-cause mortality (adjusted hazard ratio 1.37, 95% CI 1.00 to 1.86) and cardiovascular mortality (adjusted hazard ratio 1.64, 95% CI 1.09 to 2.46). CONCLUSION: Oral mucosal lesions are prevalent in haemodialysis patients. Oral candidiasis appears to be a risk factor for death due to cardiovascular diseases.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".