Evidence map›Paper›PMID 24838688›Full record

ArticleCurrent treatment options in cardiovascular medicine2014

hiPSC Modeling of Inherited Cardiomyopathies.

Gwanghyun Jung, Daniel Bernstein

Open access · greenAbstract read
In one paragraph

Article in Current treatment options in cardiovascular medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Heart Slices to Model Cardiac Physiology.Frontiers in pharmacology · 2021
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. 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

2 authors at 2 institutions in 1 country.

Gwanghyun JungDivision of Cardiology, Department of Pediatrics, Stanford University, Stanford, CA, USA.
Daniel Bernstein
Cardiovascular Institute of the South · USStanford University · US

Funding

iPSC-Derived Cardiomyocytes in Left Ventricular Non-Compaction CardiomyopathyK18HL117083 · NHLBI · STANFORD UNIVERSITY · PI BERNSTEIN, DANIEL · 2013 to 2014
$487k
NHLBI NIH HHS K18 HL117083
6 · The paper itself

Abstract

opinion statementHuman-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) represent a powerful new model system to study the basic mechanisms of inherited cardiomyopathies. hiPSC-CMs have been utilized to model several cardiovascular diseases, achieving the most success in the inherited arrhythmias, including long QT and Timothy syndromes (Moretti et al. N Engl J Med. 363:1397-409, 2010; Yazawa et al. Nature. 471:230-4, 2011) and arrhythmogenic right ventricular dysplasia (ARVD) (Ma et al. Eur Heart J. 34:1122-33, 2013). Recently, studies have applied hiPSC-CMs to the study of both dilated (DCM) (Sun et al. Sci Transl Med. 4:130ra47, 2012) and hypertrophic (HCM) cardiomyopathies (Lan et al. Cell Stem Cell. 12:101-13, 2013; Carvajal-Vergara et al. Nature. 465:808-12, 2010), providing new insights into basic mechanisms of disease. However, hiPSC-CMs do not recapitulate many of the structural and functional aspects of mature human cardiomyocytes, instead mirroring an immature - embryonic or fetal - phenotype. Much work remains in order to better understand these differences, as well as to develop methods to induce hiPSC-CMs into a fully mature phenotype. Despite these limitations, hiPSC-CMs represent the best current in vitro correlate of the human heart and an invaluable tool in the search for mechanisms underlying cardiomyopathy and for screening new pharmacologic therapies.

Identifiers

PMID24838688
PMCPMC4096486
OpenAlexW2069133409

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.