Poor knowledge of peripheral arterial disease among the Saudi population: A cross-sectional study
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
Peripheral arterial disease is a marker of severe atherosclerosis with a significantly higher risk of cardiovascular morbidity and mortality. It is often underdiagnosed and undertreated. Public and patients' perception of peripheral arterial disease is influenced by their knowledge of the condition. In this study, we aimed to evaluate the Saudi public's knowledge of peripheral arterial disease and its specific characteristics. We conducted an interview-based cross-sectional survey, and collected data on basic demographics, self-reported peripheral arterial disease awareness, and knowledge of clinical features, risk factors, preventative measures, management strategies, and potential complications of peripheral arterial disease. A total of 866 participants completed the survey (response rate, 94%); two-thirds were females. Only 295 (34%) of the surveyed participants indicated awareness of peripheral arterial disease. Overall peripheral arterial disease knowledge was low among the "peripheral arterial disease aware" group, particularly in the clinical features domain. Age > 40 years, female gender, and higher education were predictors of self-reported awareness of peripheral arterial disease. In conclusion, the Saudi public is largely unaware of peripheral arterial disease. Educational programs are important to address this critical knowledge gap.
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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 | 0.000 | 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) | 0.001 | 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