Physiological and Pathophysiological Prerequisites for the Reparative Potential of the Epicardium
Bibliographic record
Abstract
Cardiovascular diseases, and in particular, myocardial infarction, occupy a dominant place in the structure of mortality and disability worldwide. Long–term complications of a heart attack — myocardial remodeling, chronic heart failure, rhythm disturbances, left ventricular aneurysms significantly reduce the quality of life of patients, increase the level of disability, and finally, lead to serious financial costs. An urgent area of medicine is the search for mechanisms of cardiac regeneration after a myocardial infarction. The assumption about the regenerative potential of the epicardium is based on studying its properties and characteristics. During embryogenesis, the epicardium produces a large number of multipotent progenitor cells of the epicardium, which subsequently undergo epithelial-mesenchymal transformation. These cells migrate into the thickness of the myocardium and give rise to various cardiac cell types, including cardiomyocytes. The epicardium participates in the synthesis of paracrine factors that ensure the growth of coronary vessels, as well as the differentiation and development of the myocardium as a whole. The mechanisms of myocardial repair being developed are based on various ways to stimulate the activity of the epicardium along the embryonic pathway. The article structures the currently available information on the reparative potential of the epicardium — physiological aspects in embryogenesis, as well as its response to myocardial damage.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".