Evidence map›Paper›PMID 34095635›Full record

ReviewJACC. Basic to translational science2021

3-Dimensional Bioprinting of Cardiovascular Tissues: Emerging Technology.

Kevin Sung, Nisha R Patel, Nureddin Ashammakhi, Kim-Lien Nguyen

Open access · goldAbstract readReview
In one paragraph

Review in JACC. Basic to translational science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Human cardiovascular organoids: Biomedical applications and ethical challenges.American heart journal plus : cardiology research and practice · 2026
    Review
  2. Review
  3. Hydrogels for Cardiac Tissue Regeneration: Current and Future Developments.International journal of molecular sciences · 2025
    Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
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  10. An Overview of Extracellular Matrix-Based Bioinks for 3D Bioprinting.Frontiers in bioengineering and biotechnology · 2022
    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 1 institution in 1 country.

Kevin SungDivision of Cardiology, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California, USA.
Nisha R PatelDivision of Cardiology, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California, USA.
Nureddin AshammakhiDepartment of Biomedical Engineering, Henry Samueli School of Engineering, University of California-Los Angeles, Los Angeles, California, USA.
Kim-Lien NguyenDivision of Cardiology, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California, USA.
University of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional (3D) bioprinting may overcome challenges in tissue engineering. Unlike conventional tissue engineering approaches, 3D bioprinting has a proven ability to support vascularization of larger scale constructs and has been used for several cardiovascular applications. An overview of 3D bioprinting techniques, in vivo translation, and challenges are described.

Indexed as

3D, 3-dimensional3-dimensionalbioinkbioprintingcardiovascular diseaseECM, extracellular matrixhCPC, human cardiac-derived progenitor cell(s)hiPSC, human induced-pluripotent stem cell(s)HUVEC, human umbilical vein endothelial cell(s)MSC, mesenchymal stem cell(s)regenerative medicinetissue engineeringUV, ultraviolet

Identifiers

PMID34095635
PMCPMC8165127
OpenAlexW3164589946

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.