Evidence map›Paper›PMID 31802103›Full record

ArticleBriefings in bioinformatics2020

Cardioinformatics: the nexus of bioinformatics and precision cardiology.

Bohdan B Khomtchouk, Diem-Trang Tran, Kasra A Vand, Matthew Might, Or Gozani, Themistocles L Assimes

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2020. 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
–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

13 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Cardioinformatics Advancements in Healthcare and Biotechnology.Circulation. Genomic and precision medicine · 2023
    Article
  6. Epidermal growth factor receptor inhibition prevents vascular calcifying extracellular vesicle biogenesis.American journal of physiology. Heart and circulatory physiology · 2023
    Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  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

6 authors.

Bohdan B KhomtchoukDepartment of Biology, Stanford University, Stanford, CA, USA.
Diem-Trang TranSchool of Computing, University of Utah, Salt Lake City, UT, USA.
Kasra A VandQuiltomics, Palo Alto, CA, USA.
Matthew MightHugh Kaul Personalized Medicine Institute, University of Alabama at Birmingham, Birmingham, AL, USA.
Or GozaniDepartment of Biology, Stanford University, Stanford, CA, USA.
Themistocles L AssimesDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University, Stanford, CA, USA.

Funding

Stanford Training Program in Aging ResearchT32AG047126 · NIA · STANFORD UNIVERSITY · PI VYJEYANTHI S PERIYAKOIL, TONY WYSS-CORAY · 2014 to 2026
$4.3M
NIA NIH HHS T32 AG047126
6 · The paper itself

Abstract

Cardiovascular disease (CVD) is the leading cause of death worldwide, causing over 17 million deaths per year, which outpaces global cancer mortality rates. Despite these sobering statistics, most bioinformatics and computational biology research and funding to date has been concentrated predominantly on cancer research, with a relatively modest footprint in CVD. In this paper, we review the existing literary landscape and critically assess the unmet need to further develop an emerging field at the multidisciplinary interface of bioinformatics and precision cardiovascular medicine, which we refer to as 'cardioinformatics'.

Indexed as

CardiologyCardiovascular DiseasesComputational BiologyPrecision MedicineHumansRisk Factorsbioinformaticscardiologycardiovascular diseasecomputational biology

Identifiers

PMID31802103
PMCPMC7947182

What Socratic 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 Socratic graph.