Evidence map›Paper›PMID 36712238›Full record

ReviewFrontiers in cardiovascular medicine2022

Cardiac regeneration: Options for repairing the injured heart.

Jun Wang, Meilin An, Bernhard Johannes Haubner, Josef M Penninger

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
7.3field-weighted citation impact, top 2% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  13. To Repair a Broken Heart: Stem Cells in Ischemic Heart Disease.Current issues in molecular biology · 2024
    Review
  14. Animal models to study cardiac regeneration.Nature reviews. Cardiology · 2024
    Review
  15. Article
  16. Article
  17. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 3 countries.

Jun WangDepartment of Medical Genetics, Life Sciences Institute, The University of British Columbia, Vancouver, BC, Canada.
Meilin AnDepartment of Medical Genetics, Life Sciences Institute, The University of British Columbia, Vancouver, BC, Canada.
Bernhard Johannes HaubnerDepartment of Internal Medicine III (Cardiology and Angiology), Innsbruck Medical University, Innsbruck, Austria.
Josef M PenningerDepartment of Medical Genetics, Life Sciences Institute, The University of British Columbia, Vancouver, BC, Canada.
University of British Columbia · CAUniversity Hospital of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac regeneration is one of the grand challenges in repairing injured human hearts. Numerous studies of signaling pathways and metabolism on cardiac development and disease pave the way for endogenous cardiomyocyte regeneration. New drug delivery approaches, high-throughput screening, as well as novel therapeutic compounds combined with gene editing will facilitate the development of potential cell-free therapeutics. In parallel, progress has been made in the field of cell-based therapies. Transplantation of human pluripotent stem cell (hPSC)-derived cardiomyocytes (hPSC-CMs) can partially rescue the myocardial defects caused by cardiomyocyte loss in large animals. In this review, we summarize current cell-based and cell-free regenerative therapies, discuss the importance of cardiomyocyte maturation in cardiac regenerative medicine, and envision new ways of regeneration for the injured heart.

Indexed as

cardiac regenerationcell-based therapiescell-free therapieshPSC-CMstransplantation

Identifiers

PMID36712238
PMCPMC9877631
OpenAlexW4315640833

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.