Underlying Cause of Death in Demented and Non-Demented Elderly Canadians
Bibliographic record
Abstract
This paper examines the associations between clinical dementia and underlying cause of death (UCD) in a population-based sample of seniors who took part in the Canadian Study of Health and Aging (CSHA). Cause-of-death data were obtained via death certificates for 2,924 of 2,982 deceased subjects. Among the decedents were 823 clinically demented and 670 clinically non-demented participants. Using logistic regression we examined factors associated with a particular UCD in the overall group and also in the subgroup of demented seniors. Dementia was found to be associated with an increased risk of death from pneumonia. Both Alzheimer's disease and vascular dementia appear to decrease the risk of mortality from neoplasm. To our knowledge, this study is the first of its kind that combines a large, representative sample with thorough clinical assessment of cognitive status.
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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 | 0.001 | 0.001 |
| 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".