Smoking, Hypertension, Alcohol Consumption, and Risk of Abdominal Aortic Aneurysm in Men
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
Despite the known protective association between moderate alcohol consumption and ischemic heart disease, little is known about the effects of alcohol consumption on abdominal aortic aneurysms (AAA). The authors analyzed prospective, biennially updated data for a cohort of 39,352 US men from 1986 to 2002. The association of incident AAA diagnosis with alcohol consumption in grams per day was assessed at baseline and by using alcohol consumption data updated every 4 years, controlling for previously reported cardiovascular risk factors. During 576,374 person-years of follow-up, 376 newly diagnosed cases of AAA were demonstrated. After adjustment for other risk factors for AAA, including smoking, hypertension, and body mass index, alcohol consumption at baseline was independently associated with AAA diagnosis (p for trend = 0.03), with a maximum hazard ratio of 1.21 (95% confidence interval: 0.78, 1.87) for > or =30.0 g (approximately > or =2 standard drinks) of daily alcohol consumption. This association was stronger when the updated alcohol consumption data were assessed rather than simply baseline exposure (p for trend = 0.02); the hazard ratio for the highest level of intake (> or =30.0 g/day) was 1.65 (95% confidence interval: 1.03, 2.64). Small numbers limited analyses by beverage type, but liquor demonstrated the strongest positive association with AAA.
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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it