Sex-related differences in demographics, diagnosis and management of patients with chronic coronary syndromes
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Bibliographic record
Abstract
AIMS: The impact of sex-related factors on current clinical management and outcomes of chronic coronary syndromes (CCS) are unclear. METHODS: All patients belonging to the prospective, nationwide START registry were included. Their baseline characteristics, diagnostic workup, revascularization strategy, pharmacological treatment and 1-year clinical outcomes were compared with respect to sex overall and in age tertiles. RESULTS: A total of 5070 consecutive patients were included. Most patients were males (80.1%). As expected, the prevalence of females increased with age. Distribution of risk factors and history of cardiovascular disease were different depending on sex, as well as diagnostic workup, with lower use of exercise stress testing in women (25.1% vs. 36.7%, P < 0.0001). The use of coronary angiography was similar in the two groups. Women had lower rates of multivessel coronary artery disease (CAD) (33.0% vs. 40.6% P < 0.0001) and higher rates of nonobstructive CAD (18.3% vs. 11.3%, P < 0.0001). Rates of myocardial revascularization were similar, but women were more likely to receive percutaneous coronary intervention than men (84.3% vs. 77.8%, P < 0.0001) and less likely to receive surgical/hybrid revascularization (10.0% vs. 15.1%, P < 0.0001). At 12-month follow-up, no differences were observed for the combined endpoint of all-cause mortality, re-hospitalization for myocardial infarction, heart failure, stroke or myocardial revascularization between males and females; however, a significantly worse perceived quality of life was observed in women. CONCLUSIONS: In a large nationwide cohort of patients with CCS, clinical outcomes were not different depending on sex. However, several differences in the diagnostic work-up, treatment strategies and quality of life were found between sexes.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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