Evidence map›Paper›PMID 41906874›Full record

ArticleCirculation. Cardiovascular imaging2026

Response by Oikonomou et al to Letter Regarding Article, "Artificial Intelligence-Enabled Echocardiography as a Surrogate for Multimodality Aortic Stenosis Imaging: Post Hoc Analysis of a Clinical Trial".

Evangelos K Oikonomou, Marc R Dweck, Rohan Khera

Abstract readLetter
In one paragraph

Article in Circulation. Cardiovascular imaging, 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

3 authors.

Evangelos K OikonomouSection of Cardiovascular Medicine, Department of Internal Medicine (E.K.O., R.K.), Yale School of Medicine, New Haven, CT.ORCID 0000-0003-4362-0720
Marc R DweckCentre for Cardiovascular Science, University of Edinburgh, United Kingdom (M.R.D.).ORCID 0000-0001-9847-5917
Rohan KheraSection of Cardiovascular Medicine, Department of Internal Medicine (E.K.O., R.K.), Yale School of Medicine, New Haven, CT.ORCID 0000-0001-9467-6199

Funding

Deep learning enhanced detection and personalized monitoring of aortic stenosis - The DETECT-AS StudyR01AG089981 · NIA · YALE UNIVERSITY · PI Rohan Khera · 2024 to 2026
$2.4M
Translating Personalized Inference from Randomized Clinical Trials to Real-World Cardiovascular CareR01HL167858 · NHLBI · YALE UNIVERSITY · PI Rohan Khera · 2024 to 2026
$2.3M
Evaluating and Improving Utilization of Evidence-Based Medical Therapy in Patients with Heart Failure using Automated Tools in the Electronic Health RecordK23HL153775 · NHLBI · YALE UNIVERSITY · PI KHERA, ROHAN · 2021 to 2025
$918k
A multi-modal approach for efficient, point-of-care screening of hypertrophic cardiomyopathyF32HL170592 · NHLBI · YALE UNIVERSITY · PI OIKONOMOU, EVANGELOS · 2023 to 2024
$166k
NHLBI NIH HHS F32 HL170592NHLBI NIH HHS K23 HL153775NHLBI NIH HHS R01 HL167858NIA NIH HHS R01 AG089981
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID41906874
PMCPMC13088801

What OpenQuestion holds

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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.