A systematic-scoping review on sex-based differences in type-2 myocardial infarction (T2MI)
Bibliographic record
Abstract
Abstract Background Worldwide, cardiovascular disease remains a primary cause of death, with notable differences between sexes. While sex differences in Type 1 myocardial infarction (T1MI) are well recognized, those in Type 2 myocardial infarction (T2MI) are less understood and may influence clinical practice and provide valuable prognostic insights. Purpose We aimed to provide a comprehensive overview of sex-based differences in incidence, comorbidities, clinical management, and outcomes of T2MI. Methods A systematic-scoping review of retrospective and prospective studies examining the differences in T2MI by sex was conducted by three-independent reviewers. Six databases were included in the search strategy (Web of Science, OVID, SCOPUS, EMBASE, CINAHL, PUBMED), and were last searched on November 29, 2024. Pooled odds ratios (OR) with 95% confidence interval (CI) of T2MI gender differences were calculated using aggregated meta-analyses in Stata. Results The search strategy resulted in 1388 articles and 28 studies were included after the full-text screening (Figure 1). Thirteen of these were included in the meta-analysis on the likelihood of T2MI by gender, with 3,292,727 participants in total (618,535 T2MI, of which 47.5% were female). Meta-analysis displayed that men were significantly less likely than women to have T2MI (OR 0.69; 95% CI, 0.63-0.74; P<0.001) (Figure 2). Women with T2MI were generally older and had a higher prevalence of hypertension than men (n=5). While some studies found higher diabetes rates in men (n=2), others reported a greater history of prior PCI or CABG in this group (n=4). Coronary artery disease (CAD) was less frequently observed on angiography in women (n=3) compared to men. Mortality, both short- and long-term, was higher in men (n=4), though one study contradicted this finding (n=1). Although data on treatment differences were limited, some evidence suggested greater ASA use in men (n=2). Conclusion This is the first comprehensive overview of sex-based differences in T2MI. Our study demonstrated that T2MIs are more prevalent in females, highlighting key differences among genders. In sum, data is limited, and further research is needed on gender-specific factors in T2MI to improve diagnosis, management, and mortality rates.Figure 1:PRISMA Diagram Figure 2:Forest plot of unadjusted odd
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.
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 | 0.016 | 0.073 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.013 |
| Bibliometrics | 0.013 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".