Dental care utilization in patients with different types of dementia: A longitudinal nationwide study of 58,037 individuals
Bibliographic record
Abstract
INTRODUCTION: Dementia may be associated with discontinuation of regular dental checkups, which in turn results in poorer oral health. METHODS: We investigated the trend of change in dental care utilization and the number of teeth before and after being diagnosed with dementia. Longitudinal cognitive- and dental health-related information were merged using data on 58,037 newly diagnosed individuals from the Swedish Dementia Registry and Swedish Dental Health Register during 2007 to 2015. RESULTS: Following dementia diagnosis, rate of dental care visits significantly declined. Individuals with mixed dementia, dementia with parkinsonism, and those with more severe and faster cognitive impairment had significantly higher rate of decline in dental care utilization. Vascular dementia and lower baseline Mini-Mental State Examination score were significant predictors of faster loss of teeth. DISCUSSION: Dental care utilization markedly declines following dementia diagnosis. The reduction is more prominent in those with rapid progressive cognitive impairment and the ones with extra frailty burden.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".