Evidence map›Paper›PMID 34368602›Full record

ReviewAPL bioengineering2021

3D bioprinting of stem cell-laden cardiac patch: A promising alternative for myocardial repair.

Sanskrita Das, Hyoryung Nam, Jinah Jang

Abstract readReview
In one paragraph

Review in APL bioengineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Suspended Tissue Engineering with Assemblable Microfluidics (STEAM).bioRxiv : the preprint server for biology · 2025
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  16. Engineering Spatiotemporal Control in Vascularized Tissues.Bioengineering (Basel, Switzerland) · 2022
    Review
  17. Review
  18. Article
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

3 authors.

Sanskrita DasDepartment of Convergence IT Engineering, POSTECH, 77 Cheongam-ro, Namgu, Pohang, Kyungbuk 37673, Republic of Korea.ORCID https://orcid.org/0000-0001-7849-3763
Hyoryung NamDepartment of Convergence IT Engineering, POSTECH, 77 Cheongam-ro, Namgu, Pohang, Kyungbuk 37673, Republic of Korea.ORCID https://orcid.org/0000-0003-3151-8585

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stem cell-laden three-dimensional (3D) bioprinted cardiac patches offer an alternative and promising therapeutic and regenerative approach for ischemic cardiomyopathy by reversing scar formation and promoting myocardial regeneration. Numerous studies have reported using either multipotent or pluripotent stem cells or their combination for 3D bioprinting of a cardiac patch with the sole aim of restoring cardiac function by faithfully rejuvenating the cardiomyocytes and associated vasculatures that are lost to myocardial infarction. While many studies have demonstrated success in mimicking cardiomyocytes' behavior, improving cardiac function and providing new hope for regenerating heart post-myocardial infarction, some others have reported contradicting data in apparent ways. Nonetheless, all investigators in the field are speed racing toward determining a potential strategy to effectively treat losses due to myocardial infarction. This review discusses various types of candidate stem cells that possess cardiac regenerative potential, elucidating their applications and limitations. We also brief the challenges of and an update on the implementation of the state-of-the-art 3D bioprinting approach to fabricate cardiac patches and highlight different strategies to implement vascularization and augment cardiac functional properties with respect to electrophysiological similarities to native tissue.

Identifiers

PMID34368602
PMCPMC8318604

What OpenQuestion holds

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Registered trials

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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.