Evidence map›Paper›PMID 20560035›Full record

ReviewJournal of cardiovascular translational research2010

Stem cells in the infarcted heart.

Dinender K Singla

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Journal of cardiovascular translational research, 2010. 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
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

10 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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  9. Article
  10. Mesenchymal stem cells: from experiment to clinic.Fibrogenesis & tissue repair · 2011
    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

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, 4000 Central Florida BLVD, Room 224, Orlando, FL 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 1R21HL085795-01A1NHLBI NIH HHS R01 HL090646
6 · The paper itself

Abstract

Stem cell transplantation is currently generating a significant interest for use in the future treatment of cardiovascular diseases. Stem cell populations are rapidly increasing, and we are still in the search of optimal cell types to use in clinical trials as bone marrow stem cells did not show significant improvement in cardiac function following transplantation. Experimental stem cell studies raised the question on the true differentiation of tissue-specific cell types following transplantation. In fact, recent studies suggest that improved cardiac function is associated with inhibition of apoptosis and fibrosis provided by factors released from stem cells following transplantation. In this review, we will discuss the effects of transplanted stem cells on engraftment and differentiation as well as factors released from stem cells on apoptosis and cardiac remodeling.

Indexed as

RegenerationStem Cell TransplantationAnimalsApoptosisCell DifferentiationCell LineageDisease Models, AnimalFibrosisHumansMyocardial InfarctionMyocytes, CardiacRisk AssessmentStem CellsTreatment OutcomeVentricular Remodeling

Identifiers

PMID20560035
OpenAlexW1968609732

What OpenQuestion holds

Textmetadata
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.