The impact of gender in cardiovascular medicine: Lessons from the gender/sex-issue in heart failure
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Heart Failure (HF) is a major healthcare issue, given its high prevalence and incidence, the rate of comorbidities, the related high health-care costs and its poor outcome. In the last years mounting evidence revealed several differences between men and women affected by this clinical condition. Apart from the well-known difference in phenotype (HF with reduced ejection fraction (HFrEF) occurs more commonly in men, and HF with preserved ejection fraction (HFpEF) is more frequent in women) other relevant sex-related issues dwell upon epidemiology, presentation, risk stratification and management. These differences shed new lights on the possibility to consider HF as a prototype of the impact of gender/sex issue in cardiovascular medicine. A call for action and future strategies might help in the achievement of a cleaver patient-care.
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.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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