Evidence map›Paper›PMID 40649092›Full record

ArticleJournal of clinical medicine2025

Advanced Diagnosis of Hypertrophic Cardiomyopathy with AI-ECG and Differences Based on Ethnicity and HCM Subtype.

Myra Lewontin, Emily Kaplan, Kenneth C Bilchick, Anita Barber, Derek Bivona, Christopher M Kramer, Anna Parrish, Karen McClean, Matthew Thomas, Allison Perry and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
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

12 authors.

Myra LewontinCardiovascular Division, Department of Medicine, University of Virginia Health System, Charlottesville, VA 22903, USA.
Emily KaplanCardiovascular Division, Department of Medicine, University of Virginia Health System, Charlottesville, VA 22903, USA.
Kenneth C BilchickCardiovascular Division, Department of Medicine, University of Virginia Health System, Charlottesville, VA 22903, USA.
Anita BarberCardiovascular Division, Department of Medicine, University of Virginia Health System, Charlottesville, VA 22903, USA.
Derek BivonaCardiovascular Division, Department of Medicine, University of Virginia Health System, Charlottesville, VA 22903, USA.
Christopher M KramerCardiovascular Division, Department of Medicine, University of Virginia Health System, Charlottesville, VA 22903, USA.ORCID 0000-0003-2057-7731
Anna ParrishCardiovascular Division, Department of Medicine, University of Virginia Health System, Charlottesville, VA 22903, USA.
Karen McCleanCardiovascular Division, Department of Medicine, University of Virginia Health System, Charlottesville, VA 22903, USA.
Matthew ThomasCardiovascular Division, Department of Medicine, University of Virginia Health System, Charlottesville, VA 22903, USA.ORCID 0000-0002-7819-7988
Allison PerryCardiovascular Division, Department of Medicine, University of Virginia Health System, Charlottesville, VA 22903, USA.
Kaitlyn AmosCardiovascular Division, Department of Medicine, University of Virginia Health System, Charlottesville, VA 22903, USA.
Michael AyersCardiovascular Division, Department of Medicine, University of Virginia Health System, Charlottesville, VA 22903, USA.

Funding

Viz.ai GR104884-CC1083-BU01-FD084-FN009
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligenceelectrocardiogramhypertrophic cardiomyopathymagnetic resonance imaging

Identifiers

PMID40649092
PMCPMC12250434

What OpenQuestion 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 OpenQuestion graph.