Pericardial Delivery of Stem Cells: An Emerging Frontier in Myocardial Regeneration for Ischemic Heart Disease
Bibliographic record
Abstract
Cardiac regenerative therapies have seen limited clinical translation due to persistent challenges in stem cell viability, retention, and demonstration of efficacy. The pericardial space, however, has emerged as a dynamic reservoir of bioactive substances capable of modulating cellular processes within the myocardium. Pericardial delivery of stem cells offers a promising solution to modern translational roadblocks by leveraging the pericardial space for its proximity to the heart, protective compartmentalization, and favorable biochemical milieu. Preclinical studies using cardiospheres, cardiosphere-derived cells, and mesenchymal stem cells have demonstrated significant improvements in cardiac function, infarct size reduction, and vascular regeneration after myocardial infarction. Additionally, epicardial hydrogels and percutaneous pericardial injections have been shown to reduce local immune responses and enable broader therapeutic distribution compared with intramyocardial and intracoronary approaches. As a potential cardiac surgical adjuvant therapy, pericardial delivery of stem cells represents an exciting frontier in cardiac regeneration, warranting further research to define its role in clinical practice.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".