Socioeconomic factors and use of secondary preventive therapies for cardiovascular diseases in South Asia: The PURE study
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to determine the association of socioeconomic factors on use of cardioprotective medicines in known coronary heart disease (CHD) or stroke in South Asia. METHODS: We enrolled 33,423 subjects aged 35-70 years (women 56%, rural 53%, low education 51%, low household wealth 25%) in 150 communities in India, Pakistan and Bangladesh during 2003-2009. Information regarding socioeconomic status, disease conditions and treatments was recorded. We studied influence of rural location, educational status and household wealth on use of drug therapies. Odds ratios (ORs) and 95% confidence intervals were calculated. RESULTS: CHD was reported in 683 (2.0%), stroke 316 (0.9%), and CHD/stroke in 970 (2.9%). Median duration since diagnosis was four years. Participants with CHD/stroke were older with greater prevalence of smoking, overweight, hypertension and diabetes (p < 0.01). In patients with CHD, stroke and CHD/stroke, respectively, use (%) of antiplatelets was 11.6, 3.8 and 9.3, beta-blockers 11.9, 7.0 and 10.4, angiotensin-converting enzyme inhibitors or angiotensin receptor blockers 6.4, 1.9 and 5.3 and statins 4.8, 0.6 and 3.5. In CHD/stroke patients any one of these drugs was used in 18.1%, any two in 7.2%, any three in 2.8% and none in 81.5%. Details of drug dose were not available. Use of drugs was significantly lower in rural low education and low wealth index participants (all p < 0.01). Low wealth index participants had the lowest use of these therapies with no attenuation after multiple adjustments. CONCLUSION: The use of secondary preventive drug therapies in patients with known CHD or stroke in South Asia is low with over 80% receiving none of the effective drug treatments. Low household wealth is the most important determinant.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 it