Evidence map›Paper›PMID 28776299›Full record

ReviewJournal of cardiovascular translational research2017

The Role of Genetics in Peripartum Cardiomyopathy.

Yi Zhen Joan Lee, Daniel P Judge

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of cardiovascular translational research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Mitochondrial Function and Dysfunction in Dilated Cardiomyopathy.Frontiers in cell and developmental biology · 2020
    Review
  7. Article
  8. 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.

Yi Zhen Joan LeeCenter for Inherited Heart Disease, Johns Hopkins University, 720 Rutland Avenue, Ross 1049, Baltimore, MD, 21205, USA.
Daniel P JudgeCenter for Inherited Heart Disease, Johns Hopkins University, 720 Rutland Avenue, Ross 1049, Baltimore, MD, 21205, USA. djudge@jhmi.edu.
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peripartum cardiomyopathy (PPCM) is an uncommon complication of pregnancy. Early case reports identified overlap between familial dilated cardiomyopathy (DCM) and PPCM, although the degree of overlap is largely unknown. Other evidence supporting a contribution from gene mutations in PPCM includes familial occurrence, genome-wide association studies, variable prevalence among different regions and ethnicities, and more recent investigations of panels of genes for mutations among women with PPCM. Murine models implicate the role of altered metabolism and increased free radical stress to the heart during pregnancy, which seems to be involved in the pathogenesis of this condition. Although the true incidence of genetic cardiomyopathy is not yet known among women with PPCM, there is substantial evidence demonstrating that at least 10-15% of affected women have a clear genetic contribution to their condition. With this in mind, family counseling, cascade phenotypic screening, and clinical genetic testing should be considered among women with PPCM.

Indexed as

Peripartum PeriodAnimalsCardiomyopathy, DilatedDisease Models, AnimalFemaleGenetic Predisposition to DiseaseGenetic TestingHumansMolecular Diagnostic TechniquesPedigreePhenotypePregnancyPregnancy Complications, CardiovascularRisk FactorsDilated cardiomyopathyGeneticsPregnancy

Identifiers

PMID28776299
OpenAlexW2744901287

What OpenQuestion 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 OpenQuestion graph.