Evidence map›Paper›PMID 37724334›Full record

ArticleESC heart failure2023

Webtool to enhance the accuracy of diagnostic algorithms for HFpEF: a prospective cross-over study.

Jerremy Weerts, Hesam Amin, Arantxa Barandiarán Aizpurua, Andreas B Gevaert, M Louis Handoko, Jeroen Dauw, Han Naung Tun, Karl-Philipp Rommel, Frederik H Verbrugge, Karl-Patrik Kresoja and 6 more

Abstract read
In one paragraph

Article in ESC heart failure, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Sex-specific performance of clinical diagnostic algorithms for HFpEF across two independent cohorts.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2025
    Article
  6. Discordance between left atrial pressure and risk scores in assessment of heart failure with preserved ejection fraction in patients with atrial fibrillation undergoing catheter ablation.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025
    Article
  7. 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

16 authors.

Jerremy WeertsDepartment of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre+ (MUMC+), PO Box 616, 6200 MD, Maastricht, The Netherlands.ORCID 0000-0002-9369-3453
Hesam AminDepartment of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre+ (MUMC+), PO Box 616, 6200 MD, Maastricht, The Netherlands.
Arantxa Barandiarán AizpuruaDepartment of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre+ (MUMC+), PO Box 616, 6200 MD, Maastricht, The Netherlands.ORCID 0000-0002-3448-5531
Andreas B GevaertResearch Group Cardiovascular Diseases, GENCOR Department, University of Antwerp, Antwerp, Belgium.ORCID 0000-0002-1338-4133
M Louis HandokoDepartment of Cardiology, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands.ORCID 0000-0002-8942-7865
Jeroen DauwDepartment of Cardiology, AZ Sint-Lucas, Ghent, Belgium.ORCID 0000-0003-4605-3450
Han Naung TunLarner College of Medicine, University of Vermont, Burlington, VT, USA.ORCID 0000-0002-4789-2072
Karl-Philipp RommelDepartment of Internal Medicine/Cardiology, Heart Center Leipzig, Leipzig University, Leipzig, Germany.
Frederik H VerbruggeCentre for Cardiovascular Diseases, University Hospital Brussels, Jette, Belgium.ORCID 0000-0003-0599-9290
Karl-Patrik KresojaDepartment of Internal Medicine/Cardiology, Heart Center Leipzig, Leipzig University, Leipzig, Germany.ORCID 0000-0002-8616-6751
Sandra Sanders-van WijkDepartment of Cardiology, Zuyderland Medical Center Heerlen, Heerlen, The Netherlands.
Hans-Peter Brunner-La RoccaDepartment of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre+ (MUMC+), PO Box 616, 6200 MD, Maastricht, The Netherlands.ORCID 0000-0002-4356-8566
Antoni Bayés-GenísHeart Institute, Hospital Universitari Germans Trias I Pujol, CIBERCV, Badalona, Spain.ORCID 0000-0002-3044-197X
Joost LumensDepartment of Biomedical Engineering, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.ORCID 0000-0001-8129-7384
Christian KnackstedtDepartment of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre+ (MUMC+), PO Box 616, 6200 MD, Maastricht, The Netherlands.
Vanessa P M van EmpelDepartment of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre+ (MUMC+), PO Box 616, 6200 MD, Maastricht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsDiagnosis of heart failure with preserved ejection fraction (HFpEF) can be challenging. This study aimed to evaluate the potential of a webtool to enhance the scoring accuracy when applying the complex HFA-PEFF and H METHODS AND

resultsWe developed an online tool, the HFpEF calculator, that enables the automatic calculation of current HFpEF algorithms. We assessed the accuracy of manual vs. automatic scoring, defined as the percentage of correct scores, in a cohort of cardiologists with varying clinical experience. Cardiologists scored eight online clinical cases using a triple cross-over design (i.e. two manual-two automatic-two manual-two automatic). Data were analysed in study completers (n = 55, 29% heart failure specialists, 42% general cardiologists, and 29% cardiology residents). Manually calculated scores were correct in 50% (HFA-PEFF: 50% [50-75]; H

conclusionsManual calculation of HFpEF diagnostic algorithms is often inaccurate. Using an automated webtool to calculate HFpEF algorithms significantly improved correct scoring. This new approach may impact the eventual diagnostic decision in up to two-thirds of cases, supporting its routine use in clinical practice.

Indexed as

Heart FailureAlgorithmsCross-Over StudiesHumansProspective StudiesStroke VolumeDiagnosisDiastolic heart failureeHealthHeart failure with preserved ejection fractionHFpEFOnline system

Identifiers

PMID37724334
PMCPMC10682885

What OpenQuestion holds

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LicenceCC BY-NC
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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.