ReviewRegenerative therapy2019
Cardiac regeneration with pluripotent stem cell-derived cardiomyocytes and direct cardiac reprogramming.
Review in Regenerative therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 27 citations in OpenAlex.
- The impact of natural and engineered extracellular vesicles on post-myocardial infarction angiogenesis.Stem cell research & therapy · 2025Review
- Cardiomyocyte regeneration: lessons from neonatal hearts.Regenerative medicine · 2025Article
- The role of c-Jun for beating cardiomycyte formation in prepared embryonic body.Stem cell research & therapy · 2023Article
- The generation of a lactate-rich environment stimulates cell cycle progression and modulates gene expression on neonatal and hiPSC-derived cardiomyocytes.Biomaterials advances · 2022Article
- 3D models of dilated cardiomyopathy: Shaping the chemical, physical and topographical properties of biomaterials to mimic the cardiac extracellular matrix.Bioactive materials · 2022Review
- Intrinsically Conductive Polymers for Striated Cardiac Muscle Repair.International journal of molecular sciences · 2021Review
- Neglected No More: Emerging Cellular Therapies in Traumatic Injury.Stem cell reviews and reports · 2021Review
- Extrinsically Conductive Nanomaterials for Cardiac Tissue Engineering Applications.Micromachines · 2021Review
- Bioengineering Clinically Relevant Cardiomyocytes and Cardiac Tissues from Pluripotent Stem Cells.International journal of molecular sciences · 2021Review
- Human iPSCs and Genome Editing Technologies for Precision Cardiovascular Tissue Engineering.Frontiers in cell and developmental biology · 2021Review
- miR-199a Overexpression Enhances the Potency of Human Induced-Pluripotent Stem-Cell-Derived Cardiomyocytes for Myocardial Repair.Frontiers in pharmacology · 2021Article
- miR-301a-PTEN-AKT Signaling Induces Cardiomyocyte Proliferation and Promotes Cardiac Repair Post-MI.Molecular therapy. Nucleic acids · 2020Article
- Proarrhythmic Electrical Remodeling by Noncardiomyocytes at Interfaces With Cardiomyocytes Under Oxidative Stress.Frontiers in physiology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardiovascular disease is the leading cause of death globally. Cardiomyocytes (CMs) have poor regenerative capacity, and pharmacological therapies have limited efficacy in severe heart failure. Currently, there are several promising strategies for cardiac regeneration. The most promising approach to remuscularize failing hearts is cell transplantation therapy using newly generated CMs from exogenous sources, such as pluripotent stem cells. Alternatively, approaches to generate new CMs from endogenous cell sources
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.