Burden of Cardio- and Cerebro-vascular Diseases and the Conventional Risk Factors in South Asian Population
Bibliographic record
Abstract
Similar to most populations, South Asian countries are also witnessing the dramatic transitions in health during the last few decades with the major causes of adverse health shifting from a predominance of nutritional deficiencies and infectious diseases to chronic diseases such as cardio and cerebrovascular disease (CVD). We summarized the available information of the burden of CVD and risk factors in the South Asian populations. The prevalence of conventional cardiovascular has been increasing among all South Asian populations. Extensive urbanization, shift in dietary pattern and sedentary daily life style is contributing towards the worsening of the CVD risk factor scenario. The burdens of the chronic cardiovascular risk factors are much prevalent in the South Asian populations. These are also rising alarmingly which ought to influence the already existed heavy CVD burden. Similar to the rest of the world, management for the conventional cardiovascular risk factors is very important for the prevention of CVD in South Asia.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".