Evidence map›Paper›PMID 33799487›Full record

ReviewInternational journal of molecular sciences2021

The Time Has Come to Explore Plasma Biomarkers in Genetic Cardiomyopathies.

Nienke M Stege, Rudolf A de Boer, Maarten P van den Berg, Herman H W Silljé

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Identification of disease-specific pathways and modifiers in phospholamban R14del cardiomyopathy: rationale, design and baseline characteristics of DECIPHER-PLN cohort.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Emerging New Biomarkers for Cardiovascular Disease.International journal of molecular sciences · 2022
    Article
  10. Article
  11. Article
  12. 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

4 authors at 1 institution in 1 country.

Nienke M StegeDepartment of Cardiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, AB43, 9713 GZ Groningen, The Netherlands.ORCID 0000-0002-7658-9291
Rudolf A de BoerDepartment of Cardiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, AB43, 9713 GZ Groningen, The Netherlands.
Maarten P van den BergDepartment of Cardiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, AB43, 9713 GZ Groningen, The Netherlands.
Herman H W SilljéDepartment of Cardiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, AB43, 9713 GZ Groningen, The Netherlands.
University Medical Center Groningen · NL

Funding

CVON DOSIS 2014-40CVON DOUBLE DOSE 2020B005CVON e-DETECT 2015-12CVON PREDICT2 2018-30CVON RED-CVD 2017-11CVON SHE-PREDICTS-HF 2017-21European Research Council CoG 818715Fondation Leducq CURE-PLaNPLN foundation n.a.Ubbo Emmius Fund (UEF) 661779
6 · The paper itself

Abstract

For patients with hypertrophic cardiomyopathy (HCM), dilated cardiomyopathy (DCM) or arrhythmogenic cardiomyopathy (ACM), screening for pathogenic variants has become standard clinical practice. Genetic cascade screening also allows the identification of relatives that carry the same mutation as the proband, but disease onset and severity in mutation carriers often remains uncertain. Early detection of disease onset may allow timely treatment before irreversible changes are present. Although plasma biomarkers may aid in the prediction of disease onset, monitoring relies predominantly on identifying early clinical symptoms, on imaging techniques like echocardiography (Echo) and cardiac magnetic resonance imaging (CMR), and on (ambulatory) electrocardiography (electrocardiograms (ECGs)). In contrast to most other cardiac diseases, which are explained by a combination of risk factors and comorbidities, genetic cardiomyopathies have a clear primary genetically defined cardiac background. Cardiomyopathy cohorts could therefore have excellent value in biomarker studies and in distinguishing biomarkers related to the primary cardiac disease from those related to extracardiac, secondary organ dysfunction. Despite this advantage, biomarker investigations in cardiomyopathies are still limited, most likely due to the limited number of carriers in the past. Here, we discuss not only the potential use of established plasma biomarkers, including natriuretic peptides and troponins, but also the use of novel biomarkers, such as cardiac autoantibodies in genetic cardiomyopathy, and discuss how we can gauge biomarker studies in cardiomyopathy cohorts for heart failure at large.

Indexed as

BiomarkersCardiomyopathiesEchocardiographyGenetic Predisposition to DiseaseHeartHumansMagnetic Resonance ImagingNatriuretic PeptidesTroponinBiomarkersNatriuretic PeptidesTroponinACMcardiac autoantibodiesDCMearly detectiongenetic cardiomyopathyHCMnoncoding RNAplasma biomarkers

Identifiers

PMID33799487
PMCPMC7998409
OpenAlexW3136073499

What OpenQuestion holds

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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.