Evidence map›Paper›PMID 21128127›Full record

ReviewJournal of cardiovascular translational research2011

The role of cardiac electrophysiology in myocardial regenerative stem cell therapy.

Grace Huang, Mohammad Pashmforoush, Brile Chung, Leslie A Saxon

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of cardiovascular translational research, 2011. 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
0.8field-weighted citation impact, top 25% 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, 7 citations in OpenAlex.

  1. Article
  2. Review
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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 3 institutions in 1 country.

Grace HuangDivision of Cardiovascular Medicine, Department of Medicine, LAC + USC Medical Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Mohammad Pashmforoush
Brile Chung
Leslie A Saxon
University of Southern California · USLAC+USC Medical Center · USUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in stem cell biology and tissue engineering have put forth new therapeutic paradigms for treatment of myocardial disease. The aim of stem cell therapy for myocardial regeneration has been directed to induce angiogenesis for ischemic heart disease and/or introduction of new cardiomyocytes to improve the mechanical function of the failing heart. Encouraged by positive preliminary results in mouse models of myocardial infarction, clinical trials have utilized autologous skeletal myoblasts and bone-marrow-derived stem cells to treat patients in various clinical settings including acute myocardial injury, chronic angina, and heart failure. These studies have collectively shown, at best, modest improvement in cardiac function. This may be due to the fact that there is little evidence to support actual formation and/or integration of transplanted cells into the recipient myocardium. More recent and emerging data supports the finding that electrical stimulation may be an effective catalyst for sustained functional organization, integration, and maturation of transplanted cell populations into the host myocardium. A therapeutic model that utilizes electrical stimulation and/or achieves cardiac resynchronization in conjunction with stem cell transplantation may be an effective means to achieve successful myocardial regenerative therapy.

Indexed as

Electric Stimulation TherapyRegenerationStem Cell TransplantationAnimalsCombined Modality TherapyHeart DiseasesHumansMyocardiumStem Cell NicheTreatment Outcome

Identifiers

PMID21128127
OpenAlexW1968742485

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.