Evidence map›Paper›PMID 19422981›Full record

ReviewJournal of the American College of Cardiology2009

Genomics, transcriptional profiling, and heart failure.

Kenneth B Margulies, Daniel P Bednarik, Daniel L Dries

Abstract readReview
In one paragraph

Review in Journal of the American College of Cardiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Global impact of RNA splicing on transcriptome remodeling in the heart.Journal of Zhejiang University. Science. B · 2012
    Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Pharmacoepigenetics in heart failure.Current heart failure reports · 2010
    Review
  18. Review
  19. Article
  20. 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

3 authors.

Kenneth B MarguliesCardiovascular Institute, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA. ken.margulies@uphs.upenn.edu
Daniel P Bednarik
Daniel L Dries

Funding

MECHANISMS OF IMPROVED DIASTOLIC FUNCTION IN HUMAN HEARTR01AG017022 · NIA · UNIVERSITY OF PENNSYLVANIA · PI MARGULIES, KENNETH BER · 1998 to 2007
$2.9M
NIA NIH HHS R01 AG017022
6 · The paper itself

Abstract

Associated with technological progress in deoxyribonucleic acid and messenger ribonucleic acid profiling, advances in basic biology have led to a more complete and sophisticated understanding of interactions among genes, environment, and affected tissues in the setting of complex and heterogeneous conditions such as heart failure (HF). Ongoing identification of mutations causing hereditary hypertrophic and dilated cardiomyopathies has provided both pathophysiological insights and clinically applicable diagnostics for these relatively rare conditions. Genotyping clinical trial participants and genome-wide association studies have accelerated the identification of much more common disease- and treatment-modifying genes that explain patient-to-patient differences that have long been recognized by practicing clinicians. At the same time, increasingly detailed characterization of gene expression within diseased tissues and circulating cells from animal models and patients are providing new insights into the pathophysiology of HF that permit identification of novel diagnostic and therapeutic targets. In this rapidly evolving field, there is already ample support for the concept that genetic and expression profiling can enhance diagnostic sensitivity and specificity while providing a rational basis for prioritizing alternative therapeutic options for patients with cardiomyopathies and HF. Although the extensive characterizations provided by genomic and transcriptional profiling will increasingly challenge clinicians' abilities to utilize complex and diverse information, advances in clinical information technology and user interfaces will permit greater individualization of prevention and treatment strategies to address the HF epidemic.

Indexed as

Gene Expression ProfilingGenomicsCardiomyopathiesDNAGene ExpressionHeart FailureHumansMyosin Heavy ChainsPolymorphism, Single NucleotideProteomicsRNARNA, MessengerDNAMyosin Heavy ChainsRNARNA, Messenger

Identifiers

PMID19422981
PMCPMC2738978

What OpenQuestion holds

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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.