Evidence map›Paper›PMID 39048099›Full record

ArticlePhysiological measurement2024

Age prediction from 12-lead electrocardiograms using deep learning: a comparison of four models on a contemporary, freely available dataset.

Andrew Barros, Ian German Mesner, N Rich Nguyen, J Randall Moorman

Abstract readComparative Study
In one paragraph

Article in Physiological measurement, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Andrew BarrosCenter for Advanced Medical Analytics (CAMA), School of Medicine, University of Virginia, Charlottesville, VA, United States of America.ORCID 0000-0002-3523-0514
Ian German MesnerCenter for Advanced Medical Analytics (CAMA), School of Medicine, University of Virginia, Charlottesville, VA, United States of America.ORCID 0009-0005-0293-7547
N Rich NguyenCenter for Advanced Medical Analytics (CAMA), School of Medicine, University of Virginia, Charlottesville, VA, United States of America.
J Randall MoormanCenter for Advanced Medical Analytics (CAMA), School of Medicine, University of Virginia, Charlottesville, VA, United States of America.ORCID 0000-0002-5772-1648

Funding

The integrated Translational Health Research Institute of Virginia (iTHRIV): Using Data to Improve HealthUL1TR003015 · NCATS · UNIVERSITY OF VIRGINIA · PI BROWN, DONALD E, JOHNSTON, KAREN C. · 2019 to 2023
$20.3M
NCATS NIH HHS UL1 TR003015
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Deep LearningElectrocardiographyAdultAgedFemaleHumansMaleMiddle AgedSignal Processing, Computer-AssistedYoung Adult12-lead electrocardiogramage predictiondeep learning

Identifiers

PMID39048099
PMCPMC11334242

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.