Nationwide mortality trends of delirium in Australia and the United States from 2006 to 2016
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it