Evidence map›Paper›PMID 40229468›Full record

ArticleNature cardiovascular research2025

Synthetic generation of cardiac tissue motion from surface electrocardiograms.

Aditya Radhakrishnan, Naveena Yanamala, Ankush Jamthikar, Yanting Wang, Sasha-Ann East, Yasmin Hamirani, Kameswari Maganti, Partho P Sengupta

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Nature cardiovascular research, 2025. 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

8 authors.

Aditya Radhakrishnan *Georgia Institute of Technology, Atlanta, GA, USA.
Naveena Yanamala *Carnegie Mellon University, Pittsburgh, PA, USA.
Ankush JamthikarRutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
Yanting WangRutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
Sasha-Ann EastRutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
Yasmin HamiraniRutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
Kameswari MagantiRutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
Partho P SenguptaRutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA. partho.sengupta@rutgers.edu.ORCID http://orcid.org/0000-0003-2291-5001

Funding

National Science Foundation (NSF) 2125872
6 · The paper itself

Abstract

Cardiac tissue motion is a sensitive biomarker for detecting early myocardial damage. Here, we show the similarity, interpretability and diagnostic accuracy of synthetic tissue Doppler imaging (TDI) waveforms generated from surface electrocardiograms (ECGs). Prospectively collected ECG and TDI data were cross-matched as 9,144 lateral and 8,722 septal TDI-ECG pairs (463 patients) for generating synthetic TDI across every 1% interval of the cardiac cycle. External validation using 816 lateral and 869 septal TDI-ECG pairs (314 patients) demonstrated strong correlation (repeated-measures r = 0.90, P < 0.0001), cosine similarity (0.89, P < 0.0001) and no differences during a randomized visual Turing test. Synthetic TDI correlated with clinical parameters (585 patients) and detected diastolic and systolic dysfunction with an area under the curve of 0.80 and 0.81, respectively. Furthermore, synthetic TDI systolic and early diastolic measurements generated from an external ECG dataset (233,647 patients) were associated with all-cause mortality during both sinus rhythm and atrial fibrillation, underscoring their potential for personalized cardiac care.

Indexed as

Echocardiography, DopplerElectrocardiographyMyocardial ContractionVentricular Function, LeftAdultAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesReproducibility of Results

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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.