Nationwide mortality trends of delirium in Australia and the United States from 2006 to 2016
Bibliographic record
Abstract
OBJECTIVES: To examine nationwide trends in delirium mortality in Australia and the United States between 2006 and 2016. METHODS: Delirium mortality data for Australian and United States populations were obtained from World Health Organization Mortality Database. Mortality trends were assessed using joinpoint regression. RESULTS: Age-adjusted delirium mortality increased by 16.35%/year and 4.04%/year in Australia and the United States, respectively. Average annual age-adjusted delirium mortality rate (per 1 000 000 population) was 2.90 in Australia, and 1.06 in the United States. Death rates from delirium increased with age. Mortality was consistently higher in men than women, but the rate of annual increase was greater in women. CONCLUSIONS: Our study provided important population-level data on delirium and its outcomes in Australia and the United States. Reported death rates attributed to delirium increased over the 11-year period in both countries and were consistently higher in Australia than the United States. There were distinct age and sex differences in mortality trends.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".