Evidence map›Paper›PMID 29063279›Full record

ReviewCurrent heart failure reports2017

Clinical Application of Genetic Testing in Heart Failure.

Ana Morales, Ray Hershberger

Open access · greenAbstract readReview
In one paragraph

Review in Current heart failure reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 25% of its field
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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. A Genetic Test to Identify People at High Risk of Heart Failure.International journal of molecular sciences · 2025
    Article
  2. Article
  3. 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

2 authors at 1 institution in 1 country.

Ana MoralesDepartment of Internal Medicine, Division of Human Genetics, The Ohio State University, Columbus, OH, USA. Ana.Morales@osumc.edu.
Ray HershbergerDepartment of Internal Medicine, Division of Human Genetics, The Ohio State University, Columbus, OH, USA. Ray.Hershberger@osumc.edu.
The Ohio State University · US

Funding

Precision Medicine for Dilated Cardiomyopathy in European and African AncestryR01HL128857 · NHLBI · OHIO STATE UNIVERSITY · PI HERSHBERGER, RAY E. · 2015 to 2020
$12.4M
NHLBI NIH HHS R01 HL128857
6 · The paper itself

Abstract

purpose of reviewThe purpose of this review is to present our current understanding of the genetic etiologies that may cause or predispose to heart failure. We highlight known phenotypes for which a genetic evaluation has clinical utility. RECENT

findingsThe literature continues to demonstrate and confirm a genetic basis for conditions that cause heart failure. Evidence suggests a genetic model involving rare and common variants of strong or weak effect, in combination with environmental factors that may manifest as familial or simplex disease. Clinical genetic testing is available for several phenotypes, which can aid in the diagnosis and identification of at-risk family members. The evaluation of heart failure should include investigating etiologies with a genetic basis. Conducting a genetic evaluation in patients with heart failure requires the ability to identify possible genetic etiologies in an individual's phenotype, obtain relevant family history, and clinically interpret genetic testing results.

Indexed as

Genetic Predisposition to DiseaseGenetic TestingHeart FailureHumansPhenotypeCardiomyopathyCoronary artery diseaseGenetic counselingGeneticsGenetic testingHeart failure

Identifiers

PMID29063279
PMCPMC5806624
OpenAlexW2766711613

What OpenQuestion holds

Textmetadata
LicenceTDM
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.