Evidence map›Paper›PMID 42183008›Full record

ArticleHeart rhythm O22026

Artificial intelligence-powered electrocardiogram is superior to NT-proBNP in predicting left ventricular systolic dysfunction in atrial fibrillation with rapid ventricular response.

Omar Baqal, Claire I Yee, Jaxon Quillen, Xuan Ci Mee, Ghee Kheng Lim, Chadi Ayoub, Reza Arsanjani, Dan Sorajja, Peter Noseworthy, Hicham Z El Masry

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heart rhythm O2, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Omar BaqalDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona.
Claire I YeeDepartment of Quantitative Health Sciences, Mayo Clinic, Scottsdale, Arizona.
Jaxon QuillenDepartment of Quantitative Health Sciences, Mayo Clinic, Scottsdale, Arizona.
Xuan Ci MeeDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona.
Ghee Kheng LimDivision of Internal Medicine, TidalHealth Peninsula Regional, Salisbury, Maryland.
Chadi AyoubDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona.
Reza ArsanjaniDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona.
Dan SorajjaDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona.
Peter NoseworthyDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.
Hicham Z El MasryDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AI-ECGArtificial intelligenceAtrial fibrillationEchocardiographyElectrocardiogramHeart failureMachine learningNT-proBNP

Identifiers

PMID42183008
PMCPMC13198339

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.