45 Oral Sex and Gender Differences in Critical Time-to-Treatment Intervals among ST-Elevation MI Patients
Bibliographic record
Abstract
Early initiation of treatment is essential for favourable outcomes in acute ST-elevation myocardial infarction (STEMI). However, achieving this is linked to a cascade of events, including establishing an accurate diagnosis quickly, and prompt treatment-seeking by patients. Because of this interdependence research attention has focused on understanding where delays exist, what factors may be influencing this, and more recently, how to mitigate them. Many investigators have found that women delay treatment-seeking for symptoms of acute coronary syndromes (ACS) longer than men do. And, disappointingly, in spite of some success in improving time-to-treatment intervals once patients have entered the healthcare system, little gain has been reported in reducing patients' treatment-seeking delays. Methods: Using a registry of STEMI patients, we examined whether there are sex/gender differences in time-to-treatment sub-intervals: symptom onset to first medical contact, and first medical contact to first ECG. Since a programme for pre-hospital acquisition of 12-lead ECGs has recently been implemented in the region, the analysis was further divided into two time periods (before and after implementation of the programme), to ascertain if it affected either interval. Analysis of variance was used to explore these interactions.
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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 | 0.001 | 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".