The value of apoA-I in predicting heart disease and myocardial infarction
Bibliographic record
Abstract
Ischemic heart disease is the leading cause of death worldwide, accounting for approximately 11% of all deaths in 2011. Numerous studies have shown that cardiovascular risk correlates positively and powerfully with total or LDL-cholesterol (LDL-C) and correlates inversely with HDl-cholesterol (HDL-C). Much effort has spent comparing proatherogenic cholesterol markers LDL-C, non-HDL-C, apoB and LDL particle number, while little effort has been spent comparing the markers of the antiatherogenic marker apoA-I and HDL-C. Therefore, this review focused on comparing apoA-I and HDL-C in the prediction of heart disease and myocardial infarction. We identified 28 studies of which 12 indicated that the HDL-C was likely to be a superior marker of risk for heart disease and myocardial infarction compared with eight studies that identified apoA-I to be a superior marker of risk.
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.
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 | 0.003 | 0.004 |
| 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".