Evidence map›Paper›PMID 40354128›Full record

ArticleEuropean heart journal. Cardiovascular Imaging2025

Deep learning-enabled echocardiographic assessment of biventricular ejection fractions: the dual-task QUEST-EF model.

Ádám Szijártó, Béla Merkely, Attila Kovács, Márton Tokodi, QUEST-EF Investigators

Abstract read
In one paragraph

Article in European heart journal. Cardiovascular Imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Review
  3. Article
  4. 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

5 authors.

Ádám SzijártóHeart and Vascular Centre, Semmelweis University, 68 Városmajor Street, Budapest 1122, Hungary.
Béla MerkelyHeart and Vascular Centre, Semmelweis University, 68 Városmajor Street, Budapest 1122, Hungary.
Attila KovácsHeart and Vascular Centre, Semmelweis University, 68 Városmajor Street, Budapest 1122, Hungary.
Márton TokodiHeart and Vascular Centre, Semmelweis University, 68 Városmajor Street, Budapest 1122, Hungary.ORCID 0000-0003-3036-4131
QUEST-EF Investigators

Funding

European Union TKP2021-NVA-12German Center for Cardiovascular Research FKZ-81X3600511Hungarian Academy of SciencesMILABMinistry of Culture and Innovation of HungaryNational Research, Development and Innovation Fund 2024-2.1.1-EKÖP-2024-00004National Research, Development and Innovation Fund TKP2021-NVANational Research, Development and Innovation OfficeNKFIH FK 142573University Research Scholarship Program
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID40354128
PMCPMC12311165

What OpenQuestion holds

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LicenceCC BY-NC
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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.