Evidence map›Paper›PMID 34113613›Full record

ReviewFrontiers in cell and developmental biology2021

Cardiac Tissue Engineering: Inclusion of Non-cardiomyocytes for Enhanced Features.

Sadek Munawar, Irene C Turnbull

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Frontiers in cell and developmental biology · 2026
    Article
  5. Article
  6. 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

2 authors at 1 institution in 1 country.

Sadek MunawarCardiovascular Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Irene C TurnbullCardiovascular Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Icahn School of Medicine at Mount Sinai · US

Funding

Training In Cardiovascular Physiology & PharmacologyT32HL007444 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Ju Chen, Robert Scott Ross · 1985 to 2026
$11.1M
UCSD PRIDE Faculty Development Program in Cardiovascular SciencesR25HL145817 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Robert Scott Ross, Joann Trejo · 2019 to 2026
$3.3M
Harnessing the Benefits of Adult Stem Cell Exosomes for Enhancing Cardiac Contractile FunctionK01HL133424 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CAL Y MAYOR-TURNBULL, IRENE · 2016 to 2020
$701k
Replacement of Small Animal Echocardiographic InstrumentationS10OD010417 · OD · VETERANS MEDICAL RESEARCH FDN/SAN DIEGO · PI ROSS, ROBERT SCOTT · 2012 to 2012
$371k
Defining the role of non-myocytes to achieve biologically relevant engineered myocardial tissuesR03HL154286 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CAL Y MAYOR-TURNBULL, IRENE · 2020 to 2021
$170k
NHLBI NIH HHS K01 HL133424NHLBI NIH HHS R03 HL154286NHLBI NIH HHS R25 HL145817NHLBI NIH HHS T32 HL007444NIH HHS S10 OD010417
6 · The paper itself

Abstract

Engineered cardiac tissues (ECTs) are 3D physiological models of the heart that are created and studied for their potential role in developing therapies of cardiovascular diseases and testing cardio toxicity of drugs. Recreating the microenvironment of the native myocardium

Indexed as

3D physiological modelscardiomyocytescell-cell interactionsendothelial cellsengineered cardiac tissuesfibroblastshuman induced pluripotent stem cell-derived cardiomyocytesnonmyocytes

Identifiers

PMID34113613
PMCPMC8186263
OpenAlexW3165456283

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.