Bibliographic record
Abstract
PURPOSE OF REVIEW: Acute aortic syndromes include acute aortic dissection, intramural hematoma, and penetrating aortic ulcer, and are associated with high mortality and morbidity. This review focuses on recent findings and current understanding of gender-related and sex-related differences in acute aortic syndromes. RECENT FINDINGS: Large international and national registries, population studies, and multicentre national prospective cohort studies show evidence of sex differences in acute aortic syndromes. Recent studies of risk factors, aorta remodelling, and genetics provide possible biological basis for sex differences. The 2022 American College of Cardiology/American Heart Association Guidelines for the Diagnosis and Management of Aortic Disease revise recommendations for surgical management for aortic root and ascending aorta dilatation, which could impact outcome differences between the sexes. SUMMARY: Acute aortic syndromes affect men more frequently than women. The prevalence of acute aortic syndromes and prevalence of many risk factors rise sharply with age in women leading to higher age at presentation for women. Times from symptom onset to presentation and presentation to diagnosis are delayed in female patients. Females with type A dissection are also more commonly treated conservatively than male counterparts. These factors likely contribute to higher early mortality and complications in women.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".