Evidence map›Paper›PMID 38363275›Full record

ArticleJACC. Clinical electrophysiology2024

Mechanical Dispersion Discriminates Between Arrhythmic and Nonarrhythmic Sudden Death: From the POST SCD Study.

Lionel Tastet, Satvik Ramakrishna, Lisa J Lim, Dwight Bibby, Jeffrey E Olgin, Andrew J Connolly, Ellen Moffatt, Zian H Tseng, Francesca N Delling

Abstract readLetter
In one paragraph

Article in JACC. Clinical electrophysiology, 2024. 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. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Lionel TastetUniversity of California, San Francisco, California, USA.
Satvik RamakrishnaUniversity of Utah School of Medicine, Salt Lake City, Utah, USA.
Lisa J LimUniversity of California, San Francisco, California, USA.
Dwight BibbyUniversity of California, San Francisco, California, USA.
Jeffrey E OlginUniversity of California, San Francisco, California, USA.
Andrew J ConnollyUniversity of California, San Francisco, California, USA.
Ellen MoffattCity and County of San Francisco, San Francisco, California, USA.
Zian H TsengUniversity of California, San Francisco, California, USA.
Francesca N DellingUniversity of California, San Francisco, California, USA. Electronic address: Francesca.Delling@ucsf.edu.

Funding

Prospective sudden cardiac death risk stratification using CMR and echocardiography machine learning in mitral valve prolapseR01HL153447 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DELLING, FRANCESCA N · 2020 to 2024
$4.7M
Molecular Phenotyping for Autopsy-Defined Sudden Cardiac DeathR01HL147035 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI TSENG, ZIAN H · 2020 to 2023
$3.2M
Comprehensive autopsy characterization of sudden cardiac deathR01HL102090 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI TSENG, ZIAN H · 2010 to 2014
$2.8M
NHLBI NIH HHS R01 HL102090NHLBI NIH HHS R01 HL147035NHLBI NIH HHS R01 HL153447
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Death, Sudden, CardiacAgedArrhythmias, CardiacDefibrillators, ImplantableElectrocardiographyFemaleHumansMaleMiddle Aged

Identifiers

PMID38363275
PMCPMC12083448

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.