Chronic Angina: Definition, Prevalence, and Implications for Quality of Life
Bibliographic record
Abstract
Chronic angina is a prevalent manifestation of cardiovascular disease and is most commonly due to insufficient oxygen supply from fixed epicardial lesions in the coronary arteries. In addition to increasing the risk of cardiovascular death and recurrent myocardial infarction, chronic angina has a significant impact on functional capacity and quality of life. All patients with cardiovascular disease should be closely questioned to determine the functional and symptomatic limitations attributable to ischemic symptoms. The Canadian Cardiovascular Society Classification of Angina is the easiest metric to use; however, more sensitive measures such as the Seattle Angina Questionnaire offer a better overall assessment of angina symptoms and quality of life and can be used to compare the efficacy of different treatments. Treatment strategies that begin with either immediate revascularization or optimal medical therapy with antianginal agents significantly improve angina frequency and quality of life. Initial revascularization, especially with coronary artery bypass grafting, appears to offer more rapid relief of angina compared with percutaneous coronary intervention or medical therapy in the first months after initial revascularization. After a year of follow-up, though, much of the treatment differences are lost and all strategies (surgical/percutaneous revascularization or medical therapy) result in a significant improvement of angina symptoms.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".