Evidence map›Paper›PMID 22824105›Full record

ReviewProgress in cardiovascular diseases

Clinical adoption of prognostic biomarkers: the case for heart failure.

Andreas P Kalogeropoulos, Vasiliki V Georgiopoulou, Javed Butler

Abstract readReview
In one paragraph

Review in Progress in cardiovascular diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. miR-129-5p improves cardiac function in rats with chronic heart failure through targeting HMGB1.Mammalian genome : official journal of the International Mammalian Genome Society · 2019
    Article
  4. Article
  5. Oxidative stress and inflammatory markers - the future of heart failure diagnostics?Kardiochirurgia i torakochirurgia polska = Polish journal of cardio-thoracic surgery · 2015
    Article
  6. Review
  7. Article
  8. Review
  9. 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

3 authors.

Andreas P KalogeropoulosEmory Clinical Cardiovascular Research Institute, Atlanta, GA 30322, USA.
Vasiliki V Georgiopoulou
Javed Butler

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR025008 · NCRR · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2007 to 2011
$29.0M
Atlanta Clinical and Translational Science Institute (ACTSI) RenewalUL1TR000454 · NCATS · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2012 to 2016
$25.8M
Heart Failure Clinical Trials NetworkU10HL110302 · NHLBI · EMORY UNIVERSITY · PI SMITH, ANDREW · 2012 to 2018
$2.5M
NCATS NIH HHS UL1 TR000454NCRR NIH HHS UL1 RR025008NHLBI NIH HHS 1U10HL110302-01NHLBI NIH HHS U10 HL110302
6 · The paper itself

Abstract

The recent explosion of scientific knowledge and technological progress has led to the discovery of a large array of circulating molecules commonly referred to as biomarkers. Biomarkers in heart failure (HF) research have been used to provide pathophysiologic insights, aid in establishing the diagnosis, refine prognosis, guide management, and target treatment. However, beyond diagnostic applications of natriuretic peptides, there are currently few widely recognized applications for biomarkers in HF. This represents a remarkable discordance considering the number of molecules that have been shown to correlate with outcomes, refine risk prediction, or track disease severity in HF in the past decade. In this article, we use a broad framework proposed for cardiovascular risk markers to summarize the current state of biomarker development for patients with HF. We use this framework to identify the challenges of biomarker adoption for risk prediction, disease management, and treatment selection for HF and suggest considerations for future research.

Indexed as

BiomarkersDecision Support TechniquesEvidence-Based MedicineHeart FailureHumansPredictive Value of TestsPrognosisRisk AssessmentRisk FactorsBiomarkers

Identifiers

PMID22824105
PMCPMC3718550

What OpenQuestion holds

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Registered trials

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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.