Evidence map›Paper›PMID 29290797›Full record

ReviewTheranostics2018

Engineered Microenvironments for Maturation of Stem Cell Derived Cardiac Myocytes.

Rachel R Besser, Matthew Ishahak, Vera Mayo, Daniel Carbonero, Isabella Claure, Ashutosh Agarwal

Abstract readReview
In one paragraph

Review in Theranostics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
–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

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Complementary biomolecular coassemblies direct energy transport for cardiac photostimulators.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  9. Review
  10. Article
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  14. Review
  15. Article
  16. Review
  17. The Vascular Niche for Adult Cardiac Progenitor Cells.Antioxidants (Basel, Switzerland) · 2022
    Review
  18. Review
  19. Intersection of stem cell biology and engineering towards next generationFrontiers in bioengineering and biotechnology · 2022
    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

6 authors.

Rachel R BesserDepartment of Biomedical Engineering, University of Miami.
Matthew IshahakDepartment of Biomedical Engineering, University of Miami.
Vera MayoDepartment of Biomedical Engineering, University of Miami.
Daniel CarboneroDepartment of Biomedical Engineering, University of Miami.
Isabella ClaureDepartment of Biomedical Engineering, University of Miami.
Ashutosh AgarwalDepartment of Biomedical Engineering, University of Miami.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Through the use of stem cell-derived cardiac myocytes, tissue-engineered human myocardial constructs are poised for modeling normal and diseased physiology of the heart, as well as discovery of novel drugs and therapeutic targets in a human relevant manner. This review highlights the recent bioengineering efforts to recapitulate microenvironmental cues to further the maturation state of newly differentiated cardiac myocytes. These techniques include long-term culture, co-culture, exposure to mechanical stimuli, 3D culture, cell-matrix interactions, and electrical stimulation. Each of these methods has produced various degrees of maturation; however, a standardized measure for cardiomyocyte maturation is not yet widely accepted by the scientific community.

Indexed as

AnimalsCell DifferentiationHumansMyocytes, CardiacStem CellsTissue EngineeringCardiac MyocytesDifferentiationMaturationStem cellsTissue Engineering.

Identifiers

PMID29290797
PMCPMC5743464

What OpenQuestion holds

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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.