Evidence map›Paper›PMID 22547172›Full record

ReviewNature reviews. Cardiology2012

Biomarkers in acute heart failure--state of the art.

Alan S Maisel, Rajiv Choudhary

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cardiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Circulating miR-30d Predicts Survival in Patients with Acute Heart Failure.Cellular physiology and biochemistry : international journal of experimental cellular physiology, biochemistry, and pharmacology · 2017
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  16. ELISA in the multiplex era: potentials and pitfalls.Proteomics. Clinical applications · 2015
    Review
  17. Review
  18. Serelaxin: a novel therapy for acute heart failure with a range of hemodynamic and non-hemodynamic actions.American journal of cardiovascular drugs : drugs, devices, and other interventions · 2014
    Review
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  20. 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

2 authors.

Alan S MaiselDepartment of Medicine, Division of Cardiology, San Diego Veterans Affairs Medical Center, 3350 La Jolla Village Drive, San Diego, CA 92161, USA. amaisel@ucsd.edu
Rajiv Choudhary

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of biomarkers in the management of patients with acute heart failure (HF) has evolved rapidly in the past several years. Representing a major burden on health systems, acute HF has increased the need for earlier diagnosis, better risk stratification, and cost-effective treatment to reduce rates of hospitalization. Biomarker-guided diagnosis and treatment have become essential, especially in the acute setting to which the majority of the patients with acute HF initially present. Studies clearly demonstrate the complexity of these patients, who commonly have multiple comorbidities necessitating an integrative approach. Several groundbreaking studies conducted in the past decade have demonstrated how biomarkers, individually or in combination, can outperform conventional laboratory tests used in the emergency department as well as in hospitalized patients with acute HF. In this Review, we will provide an update on biomarkers considered state of the art in the diagnosis and management of patients with acute HF.

Indexed as

BiomarkersCalcitoninGlycopeptidesHeart FailureHepatitis A Virus Cellular Receptor 1HumansInflammationMembrane GlycoproteinsNatriuretic PeptidesProtein PrecursorsReceptors, VirusRisk AssessmentBiomarkersCalcitonincopeptinsGlycopeptidesHAVCR1 protein, humanHepatitis A Virus Cellular Receptor 1Membrane GlycoproteinsNatriuretic PeptidesProtein PrecursorsReceptors, Virus

Identifiers

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.