Beverage‐specific alcohol consumption and cirrhosis mortality in a group of English‐speaking beer‐drinking countries
Bibliographic record
Abstract
AIMS: To compare beverage-specific per capita consumption and total alcohol consumption's associations with cirrhosis mortality rates in multiple countries. DESIGN: Pooled cross-sectional time-series analysis. SETTING: Australia, Canada, New Zealand, the United Kingdom and the United States during the years 1953-1993. MEASUREMENTS: National level data on per capita total alcohol, beer, wine and spirits consumption and standardized all-cause cirrhosis mortality rates. FINDINGS: Significant associations with cirrhosis mortality are found for both total ethanol and spirits. Spirits consumption is found to make up the majority of the effect of alcoholic beverage consumption on cirrhosis mortality and the model including only spirits is found to fit the data at least as well as the model including only total ethanol consumption. The lag relationship between all alcohol types and cirrhosis is found to be short with only present and 1 year's lagged consumption having significant associations. CONCLUSIONS: Spirits consumption rather than beer or wine is associated with cirrhosis mortality in this group of primarily beer-drinking countries. This finding offers important clues to understanding the drinking behaviors associated with cirrhosis mortality on the individual level.
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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) | 0.001 | 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 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".