Evidence map›Paper›PMID 28803400›Full record

ReviewCurrent heart failure reports2017

Novel Biomarkers for the Risk Stratification of Heart Failure with Preserved Ejection Fraction.

Jeremy Cypen, Tariq Ahmad, Jeffrey M Testani, Adam D DeVore

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current heart failure reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Impaired in vitro growth response of plasma-treated cardiomyocytes predicts poor outcome in patients with transthyretin amyloidosis.Clinical research in cardiology : official journal of the German Cardiac Society · 2021
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Cardiotoxicity of Anticancer Therapeutics.Frontiers in cardiovascular medicine · 2018
    Review
  10. Article
  11. 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

4 authors at 3 institutions in 1 country.

Jeremy CypenDepartment of Medicine, Duke University School of Medicine, Durham, NC, USA.
Tariq AhmadSection of Cardiovascular Medicine, Yale University School of Medicine, New Haven, CT, USA.
Jeffrey M TestaniSection of Cardiovascular Medicine, Yale University School of Medicine, New Haven, CT, USA.
Adam D DeVoreDepartment of Medicine, Duke University School of Medicine, Durham, NC, USA. adam.devore@duke.edu.
Yale University · USClinical Research Institute · USDuke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe use of biomarkers in heart failure (HF) is a rapidly changing field. The purpose of this review is to assess the current evidence of the use of biomarkers for risk stratification in patients with HF with preserved ejection fraction (HFpEF). RECENT

findingsDespite differences in pathophysiology between HF with reduced ejection fraction and HFpEF, traditional HF biomarkers such as brain natriuretic peptide and troponin retain prognostic value in most HFpEF-specific populations. Biomarkers of key pathophysiologic components of HFpEF, such as myocardial fibrosis, remodeling, and systemic inflammation are also valuable prognostic markers. Further investigation into HF biomarkers may identify significant therapeutic targets for the treatment of HFpEF.

Indexed as

Heart FailureRisk AssessmentBiomarkersGlobal HealthHumansMorbidityNatriuretic Peptide, BrainPrognosisStroke VolumeSurvival RateTroponinBiomarkersNatriuretic Peptide, BrainTroponinBiomarkersHeart failurePrognosisRisk stratification

Identifiers

PMID28803400
OpenAlexW2743871782

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.