Influence of Tea Consumption on Acute Myocardial Infarction in China Population
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
We assessed the association between tea consumption and acute myocardial infarction (AMI) using INTERHEART China data. Cases (n = 2909) and controls (n = 2947) were randomly selected and frequency matched by age and sex. Participants who drank tea ≥4 cups/d had a significantly higher risk of AMI than tea nondrinkers; odds ratio (OR) was 1.29 (95% confidence interval [CI]: 1.03-1.61) compared with tea nondrinkers. A similar trend was found in green tea drinkers; OR was 1.52 (95% CI: 1.13-2.05) in the participants who drank 3 cups/d and 1.73 (95% CI: 1.35-2.22) in the participants who drank ≥4 cups/d compared with tea nondrinkers. We also found that green tea consumption had a greater effect on females; OR was 2.80 (95% CI: 1.43-5.50) in females. In conclusion, we found that the risk of AMI increases as tea consumption increases. Further studies are needed to confirm this association.
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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) | 0.000 | 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