Evidence map›Paper›PMID 39481665›Full record

ArticleJournal of the American Society of Echocardiography : official publication of the American Society of Echocardiography2025

Clinical and Echocardiographic Features of Individuals With Cardiac Amyloidosis at Risk for Future Thrombus Formation.

Cristiane C Singulane, Jeremy A Slivnick, Kenneth C Bilchick, Maryam E Neyestanak, Jonathan R Lindner, Mohammad Abuannadi, Steven T Philips, Aditya M Sharma, Karima Addetia, Nitasha Sarswat and 4 more

Abstract read
In one paragraph

Article in Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography, 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

14 authors.

Cristiane C SingulaneCardiovascular Division, Department of Medicine, University of Virginia, Charlottesville, Virginia.
Jeremy A SlivnickDepartment of Medicine, University of Chicago, Chicago, Illinois.
Kenneth C BilchickCardiovascular Division, Department of Medicine, University of Virginia, Charlottesville, Virginia.
Maryam E NeyestanakDepartment of Medicine, University of Chicago, Chicago, Illinois.
Jonathan R LindnerCardiovascular Division, Department of Medicine, University of Virginia, Charlottesville, Virginia.
Mohammad AbuannadiCardiovascular Division, Department of Medicine, University of Virginia, Charlottesville, Virginia.
Steven T PhilipsCardiovascular Division, Department of Medicine, University of Virginia, Charlottesville, Virginia.
Aditya M SharmaCardiovascular Division, Department of Medicine, University of Virginia, Charlottesville, Virginia.
Karima AddetiaDepartment of Medicine, University of Chicago, Chicago, Illinois.
Nitasha SarswatDepartment of Medicine, University of Chicago, Chicago, Illinois.
Ryan R YangDepartment of Medicine, University of Chicago, Chicago, Illinois.
Yu WangDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia.
Roberto M LangDepartment of Medicine, University of Chicago, Chicago, Illinois.
Amit R PatelCardiovascular Division, Department of Medicine, University of Virginia, Charlottesville, Virginia.

Funding

Multiscale Models for Predicting Short and Long-term Outcome of Cardiac Resynchronization TherapyR01HL159945 · NHLBI · UNIVERSITY OF VIRGINIA · PI BILCHICK, KENNETH C, HOLMES, JEFFREY W · 2021 to 2024
$2.6M
NHLBI NIH HHS R01 HL159945
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID39481665
PMCPMC11798709

What OpenQuestion holds

Textmetadata
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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.