Evidence map›Paper›PMID 22231714›Full record

ReviewNature reviews. Cardiology2012

Systems-based approaches to cardiovascular disease.

W Robb MacLellan, Yibin Wang, Aldons J Lusis

Abstract readReview
In one paragraph

Review in Nature reviews. Cardiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Exploration of plasma adiponectin, leptin, andJournal of nutritional science · 2023
    Article
  8. Article
  9. Dynamic Metabolic Changes During ProlongedFrontiers in immunology · 2022
    Article
  10. Editorial: Clinical Cases in Cardiovascular Medicine: 2021.Frontiers in cardiovascular medicine · 2022
    Article
  11. Article
  12. Relevance of Multi-Omics Studies in Cardiovascular Diseases.Frontiers in cardiovascular medicine · 2019
    Review
  13. Article
  14. Article
  15. Article
  16. Lifestyle Medicine: Why Do We Need It?Medical science educator · 2018
    Article
  17. Article
  18. Article
  19. Review
  20. 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

3 authors.

W Robb MacLellanCardiovascular Research Laboratories, University of California Los Angeles, 675 Charles E. Young Drive South, MRL 3645, University of California Los Angeles, Los Angeles, CA 90095-1760, USA.
Yibin Wang
Aldons J Lusis

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Genetic Dissection of Cardiac Growth: The Role of c-MycR01HL070748 · NHLBI · UNIVERSITY OF WASHINGTON · PI MACLELLAN, WILLIAM ROBB · 2004 to 2020
$5.0M
A Systems Approach to Uncover Novel Genes and Networks in Heart FailureR21HL110667 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LUSIS, ALDONS JAKE, WANG, YIBIN · 2011 to 2012
$424k
NCATS NIH HHS UL1 TR000124NHLBI NIH HHS R01 HL070748NHLBI NIH HHS R21 HL110667
6 · The paper itself

Abstract

Common cardiovascular diseases, such as atherosclerosis and congestive heart failure, are exceptionally complex, involving a multitude of environmental and genetic factors that often show nonlinear interactions as well as being highly dependent on sex, age, and even the maternal environment. Although focused, reductionistic approaches have led to progress in elucidating the pathophysiology of cardiovascular diseases, such approaches are poorly powered to address complex interactions. Over the past decade, technological advances have made it possible to interrogate biological systems on a global level, raising hopes that, in combination with computational approaches, it may be possible to more fully address the complexities of cardiovascular diseases. In this Review, we provide an overview of such systems-based approaches to cardiovascular disease and discuss their translational implications.

Indexed as

AnimalsCardiovascular DiseasesDisease Models, AnimalDisease ProgressionGenetic TestingHumansMolecular BiologySystems Biology

Identifiers

PMID22231714
PMCPMC3823242

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.