Evidence map›Paper›PMID 28057368›Full record

ReviewInternational journal of cardiology2017

Genomic translational research: Paving the way to individualized cardiac functional analyses and personalized cardiology.

Ares Pasipoularides

Abstract readReview
In one paragraph

Review in International journal of cardiology, 2017. 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
–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

14 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Implementing genome-driven personalized cardiology in clinical practice.Journal of molecular and cellular cardiology · 2018
    Review
  13. Article
  14. 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.

Ares PasipoularidesDepartment of Surgery, Duke University School of Medicine, Durham, NC, 27710, USA. Electronic address: apasipou@duke.edu.

Funding

NEW MODELS OF RV DIASTOLIC FUNCTION IN HEART FAILURER01HL050446 · NHLBI · DUKE UNIVERSITY · PI PASIPOULARIDES, ARES · 1995 to 1997
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NHLBI NIH HHS R01 HL050446
6 · The paper itself

Abstract

For most of Medicine's past, the best that physicians could do to cope with disease prevention and treatment was based on the expected response of an average patient. Currently, however, a more personalized/precise approach to cardiology and medicine in general is becoming possible, as the cost of sequencing a human genome has declined substantially. As a result, we are witnessing an era of precipitous advances in biomedicine and bourgeoning understanding of the genetic basis of cardiovascular and other diseases, reminiscent of the resurgence of innovations in physico-mathematical sciences and biology-anatomy-cardiology in the Renaissance, a parallel time of radical change and reformation of medical knowledge, education and practice. Now on the horizon is an individualized, diverse patient-centered, approach to medical practice that encompasses the development of new, gene-based diagnostics and preventive medicine tactics, and offers the broadest range of personalized therapies based on pharmacogenetics. Over time, translation of genomic and high-tech approaches unquestionably will transform clinical practice in cardiology and medicine as a whole, with the adoption of new personalized medicine approaches and procedures. Clearly, future prospects far outweigh present accomplishments, which are best viewed as a promising start. It is now essential for pluridisciplinary health care providers to examine the drivers and barriers to the clinical adoption of this emerging revolutionary paradigm, in order to expedite the realization of its potential. So, we are not there yet, but we are definitely on our way.

Indexed as

CardiologyGenomicsPrecision MedicineTranslational Research, BiomedicalHumansCRISPR-Cas9 genetic–phenotypic screenDNA microarraysGenome-wide association studies (GWAS)Molecular genetic biomarkersMolecular genomic decoding of phenotypic diversityNext-generation genome sequencing (NGS)Omics-based testsPersonalized/precise medicinePharmacogenomics and pharmacogenetics

Identifiers

PMID28057368
PMCPMC5332127

What OpenQuestion holds

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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.