Temporal changes in treatments and outcomes after acute myocardial infarction among cancer survivors and patients without cancer, 1995 to 2013
Bibliographic record
Abstract
BACKGROUND: There is a paucity of information about treatment and mortality trends after acute myocardial infarction (AMI) for cancer survivors (CS). METHODS: In this population-based study, the authors compared temporal trends of treatments and outcomes (mortality, nonfatal cardiovascular outcomes), among CS and patients without cancer (the noncancer patient [NCP] group) with AMI in Ontario (Canada) using inverse probability treatment weight (IPTW)-adjusted modeling. RESULTS: < .001). At 30 days after AMI, there was no difference between CS and NCP in the receipt of coronary angiography (incidence risk ratio [IRR], 0.98; 95% confidence interval [CI], 0.96-1.01; P = .23), percutaneous coronary intervention (IRR, 0.98; 95% CI, 0.94-1.02; P = .29), or bypass (IRR, 0.93; 95% CI, 0.85-1.02; P = .11). At 90 days after AMI, there was no difference in the receipt of β-blockers, clopidogrel, or nitrates; but CS were less often prescribed angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers and statins. CS had higher all-cause mortality at 30 days (adjusted hazard ratio [HR] 1.12; 95% CI, 1.07-1.17; P < .001), at 1 year (1.16; 95% CI, 1.12-1.20; P < .001), and long term (HR, 1.21; 95% CI, 1.17-1.25; P < .001) and had a greater risk of heart failure (HR, 1.08; 95% CI, 1.03-1.14; P = .001), but not myocardial re-infarction (HR, 0.98; 95% CI, 0.95-1.01; P = .22) or stroke (HR, 1.06; 95% CI, 0.97-1.16; P = .18). CONCLUSIONS: Among CS and NCP with AMI in Ontario, similar improvements in mortality and receipt of treatments were observed between 1995 and 2013. However, compared with NCP, CS had a higher risk of mortality and heart failure. Cancer 2018;124:1269-78. © 2017 American Cancer Society.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".