Evidence map›Paper›PMID 37047216›Full record

ReviewInternational journal of molecular sciences2023

Recent Advances in Generation of In Vitro Cardiac Organoids.

Makoto Sahara

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
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

31 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. CRISPR and the Future of Cardiac Disease Therapy: A New Genetic Frontier.International journal of molecular sciences · 2026
    Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Advanced cardiac organoid model for studying doxorubicin-induced cardiotoxicity.Toxicological sciences : an official journal of the Society of Toxicology · 2025
    Article
  12. Article
  13. Article
  14. Review
  15. Hydrogels for Cardiac Tissue Regeneration: Current and Future Developments.International journal of molecular sciences · 2025
    Review
  16. Review
  17. Review
  18. Review
  19. "ArmedFrontiers in cell and developmental biology · 2025
    Review
  20. 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

1 author.

Makoto SaharaDepartment of Cell and Molecular Biology, Karolinska Institutet, 171 77 Stockholm, Sweden.ORCID 0000-0002-6281-5454

Funding

Swedish Heart and Lung Foundation 20190380Swedish Research Council 2019-01359
6 · The paper itself

Abstract

Cardiac organoids are in vitro self-organizing and three-dimensional structures composed of multiple cardiac cells (i.e., cardiomyocytes, endothelial cells, cardiac fibroblasts, etc.) with or without biological scaffolds. Since cardiac organoids recapitulate structural and functional characteristics of the native heart to a higher degree compared to the conventional two-dimensional culture systems, their applications, in combination with pluripotent stem cell technologies, are being widely expanded for the investigation of cardiogenesis, cardiac disease modeling, drug screening and development, and regenerative medicine. In this mini-review, recent advances in cardiac organoid technologies are summarized in chronological order, with a focus on the methodological points for each organoid formation. Further, the current limitations and the future perspectives in these promising systems are also discussed.

Indexed as

Endothelial CellsPluripotent Stem CellsFibroblastsOrganoidsRegenerative Medicinebiotechnologycardiac organoidcardiac tissue engineeringcardiogenesisdisease modelingdrug screeningpluripotent stem cellregenerative medicine

Identifiers

PMID37047216
PMCPMC10094119

What OpenQuestion holds

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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.