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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
Few epidemiological studies have discussed the gender-specific prevalence of ischemic heart disease (IHD). We aimed to investigate the gender-specific prevalence of IHD among Saudi patients visiting the emergency department and if it is affected by diabetes mellitus and/or hypertension. Three hundred patients were recruited from Prince Sultan Cardiac Center in Al Ahsa, KSA. Hypertension was identified as systolic pressure equal to or more than 140 mmHg and/or diastolic pressure equal to or more than 90 mmHg or by the patient currently being on antihypertensive medication, and coronary artery disease (CAD) was diagnosed by electrocardiogram, cardiac markers, cardiac exercise testing or coronary angiography. Hypertension was found in 80% of males and 72% of females. A significantly higher rate of diabetes was noted in females (62%) compared to males (48%) (p<0.012). Co-existing diabetes and hypertension was found in 70% of females as compared to 38% of males. The occurrence of IHD in males was significantly higher than that in females (p<0.001). However, the incidence of myocardial infarction was greater in females (52%) compared to males (38%) (p<0.035). Co-existing hypertension and diabetes may affect the gender prevalence of myocardial infarction among emergency department patients, with more infarctions being noted among females. This finding helps to guide the treatment strategy for both genders.
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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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