Cigarette Smoking and Cardiovascular Disease: Lessons from Framingham
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
Cigarette smoking, causing acute and chronic diseases, is a serious threat to the health of the public. The association of smoking with lung cancer was recognized first, but the relationship of smoking to cardiovascular disease was debated into the 1960s and early data from the Framingham cohort found no association. However, in 1962, an analysis combining the data from the Framingham men with the Albany, New York, male cohort found cigarette smoking predicted myocardial infarction, coronary heart disease mortality, and all-cause mortality. The same year, Framingham investigators wrote that smoking was a cardiovascular risk factor independent of other characteristics, such as blood pressure, cholesterol, and smoking cessation, and should be included in any prevention program. The first surgeon general's report was released in 1964 and Framingham investigators were participants in the report's development and provided important data on the association of cigarettes with cardiovascular disease. Subsequent analyses confirmed the early findings on the benefits of quitting for primary prevention of cardiovascular disease and secondary prevention after myocardial infarction. The Framingham investigators and cohort data played a crucial role in the current understanding of the dangers of cigarettes and the subsequent decline of smoking in industrialized countries.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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