Evidence map›Paper›PMID 27626034›Full record

ReviewFrontiers in cardiovascular medicine2016

Systems Medicine as an Emerging Tool for Cardiovascular Genetics.

Tina Haase, Daniela Börnigen, Christian Müller, Tanja Zeller

Abstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Tina HaaseClinic for General and Interventional Cardiology, University Heart Center Hamburg, Hamburg, Germany; Partner Site Hamburg/Kiel/Lübeck, German Center for Cardiovascular Research (DZHK e.V.), Hamburg, Germany.
Daniela BörnigenClinic for General and Interventional Cardiology, University Heart Center Hamburg, Hamburg, Germany; Partner Site Hamburg/Kiel/Lübeck, German Center for Cardiovascular Research (DZHK e.V.), Hamburg, Germany.
Christian MüllerClinic for General and Interventional Cardiology, University Heart Center Hamburg, Hamburg, Germany; Partner Site Hamburg/Kiel/Lübeck, German Center for Cardiovascular Research (DZHK e.V.), Hamburg, Germany.
Tanja ZellerClinic for General and Interventional Cardiology, University Heart Center Hamburg, Hamburg, Germany; Partner Site Hamburg/Kiel/Lübeck, German Center for Cardiovascular Research (DZHK e.V.), Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease (CVD) is a major contributor to morbidity and mortality worldwide. However, the pathogenesis of CVD is complex and remains elusive. Within the last years, systems medicine has emerged as a novel tool to study the complex genetic, molecular, and physiological interactions leading to diseases. In this review, we provide an overview about the current approaches for systems medicine in CVD. They include bioinformatical and experimental tools such as cell and animal models, omics technologies, network, and pathway analyses. Additionally, we discuss challenges and current literature examples where systems medicine has been successfully applied for the study of CVD.

Indexed as

cardiovascular diseasefunctional characterizationnetworksomicssystems medicine

Identifiers

PMID27626034
PMCPMC5003874

What OpenQuestion holds

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LicenceCC BY
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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.