EVALUATION OF SERUM LIPID PROFILE IN PATIENTS OF CORONARY ARTERY DISEASE
Bibliographic record
Abstract
Background: Coronary heart disease (CHD) or cardiovascular diseases are recognized to be one of the most important reasons of morbidity and mortality and imposes tremendously heavy socioeconomic burden worldwide. There are varieties of risk factors in the literature which increases the incidence of CHD such as hyperlipidemia. By the year 2020, World Health Organization (WHO) is predicting more than 11.1 million deaths from CHD. Coronary heart disease occurs when cholesterol accumulates on the artery walls, creating plaques. Reduced blood ow occurs when one or more of these arteries become partially or completely blocked. The four primary coronary arteries are located on the surface of the heart are: right, left main coronary artery, left circumex artery and left anterior descending artery. Material and Methods: The present study was done on 100 patients with acute or severe coronary heart diseases. Serum levels of total cholesterol, HDLcholesterol, LDLcholesterol, and triglycerides were examined by using biochemical kits. Results: The Total Serum Cholesterol to High density lipoprotein-Cholesterol and Low density lipoprotein- Cholesterol to High density lipoprotein-Cholesterol ratios also were signicantly higher in cases than in controls, whereas the rise in Triglycerides to High Density Lipoprotein-Cholesterol ratio was not found to be signicant. Conclusion: It was found that the total cholesterol, HDLcholesterol, LDLcholesterol and triglycerides concentrations were signicantly higher in coronary heart disease patients.
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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 | 0.012 | 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 | 0.001 |
| 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 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".