Evidence map›Paper›PMID 30062624›Full record

ReviewCurrent heart failure reports2018

Clinical Implications of Serum Biomarkers of Cardiac Stress in Aortic Stenosis.

Nimesh Patel, Dharam J Kumbhani

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current heart failure reports, 2018. 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
–field-weighted citation impact, top 85% 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, 4 citations in OpenAlex.

  1. Review
  2. Review
  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.

Nimesh PatelDivision of Cardiology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, 75390-9047, USA.
Dharam J KumbhaniDivision of Cardiology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, 75390-9047, USA. dharam@post.harvard.edu.
The University of Texas Southwestern Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe purpose of this review is to outline the relationship between serum biomarkers of cardiac stress and the pathophysiologic progression of aortic stenosis, to identify studies exploring the utility of biomarkers in the risk stratification and management of patients with aortic stenosis, and to highlight the biomarkers most practical to management of patients with aortic stenosis. RECENT

findingsSeveral biomarkers have been identified that reflect various aspects of the pathogenesis of calcific aortic stenosis, subsequent hemodynamic obstruction leading to myocardial remodeling, oxidative stress and injury, and concomitant systemic inflammation. These markers are associated with adverse outcomes in aortic stenosis and offer incremental value in risk prediction over traditional clinical assessment for aortic stenosis. NTproBNP and troponin are the most rigorously studied serum biomarkers in aortic stenosis, and only NTproBNP is currently reflected in any major guideline on aortic stenosis management. Serum biomarkers show promise in guiding management of aortic stenosis, but still require significant prospective investigation before they can be incorporated in major guidelines.

Indexed as

Aortic Valve StenosisBiomarkersCardiac Imaging TechniquesHeart FailureHumansNatriuretic Peptide, BrainPeptide FragmentsRisk FactorsSeverity of Illness IndexBiomarkersNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)Aortic stenosisHeart failureSerum biomarkers

Identifiers

PMID30062624
OpenAlexW2887864221

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.