Evidence map›Paper›PMID 19203218›Full record

ReviewAntioxidants & redox signaling2009

Embryonic stem cells in cardiac repair and regeneration.

Dinender K Singla

Open access · greenAbstract readReview
In one paragraph

Review in Antioxidants & redox signaling, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.3field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
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  11. Article
  12. De novo myocardial regeneration: advances and pitfalls.Antioxidants & redox signaling · 2010
    Review
  13. Preconditioning and stem cell survival.Journal of cardiovascular translational research · 2010
    Review
  14. Stem cells in the infarcted heart.Journal of cardiovascular translational research · 2010
    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 at 1 institution in 1 country.

Dinender K SinglaBiomolecular Science Center, Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, Florida 32816, USA. dsingla@mail.ucf.edu
University of Central Florida · US

Funding

Factors Released From Embryonic Stem cells and Cardiac RemodelingR01HL090646 · NHLBI · UNIVERSITY OF CENTRAL FLORIDA · PI SINGLA, DINENDER KUMAR · 2008 to 2012
$1.8M
Mechanisms of Cardiac RegenerationR21HL085795 · NHLBI · UNIVERSITY OF CENTRAL FLORIDA · PI SINGLA, DINENDER KUMAR · 2007 to 2008
$391k
NHLBI NIH HHS 1R01HL090646-01NHLBI NIH HHS 1R21 HL085795-01A1NHLBI NIH HHS R01 HL090646NHLBI NIH HHS R21 HL085795
6 · The paper itself

Abstract

Cell transplantation is a subject of fast-growing research with a potential of a therapeutic approach for the treatment of heart diseases. Clinical applications require preparation of large number of donor cells. Stem cell studies published to date demonstrate that scientists have not reached the general consensus to use an optimal cell type for better cardiac repair and regeneration. We used embryonic stem (ES) cells and their released factors for cardiac repair and regeneration. The major concern of cardiac regeneration with stem cells includes engraftment, differentiation, and teratoma formation after ES cell transplantation. Our current knowledge of ES cell transplantation in the heart is very limited. This review discusses the use of various growth factors to enhance ES cells engraftment and differentiation, as well as the issue of teratoma formation.

Indexed as

RegenerationAnimalsApoptosisEmbryonic Stem CellsHeartStem Cell TransplantationTeratoma

Identifiers

PMID19203218
PMCPMC2788053
OpenAlexW2007212319

What OpenQuestion holds

Textmetadata
LicenceTDM
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.