Evidence map›Paper›PMID 38758124›Full record

ArticleAmerican journal of physiology. Heart and circulatory physiology2024

Cell-to-cell heterogeneity in ion channel conductance impacts substrate vulnerability to arrhythmia.

Taylor K Pullinger, Eric A Sobie

Abstract read
In one paragraph

Article in American journal of physiology. Heart and circulatory physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Population Modeling Approach for Human Cardiac Arrhythmia Risk Prediction.Circulation. Arrhythmia and electrophysiology · 2026
    Article
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

2 authors.

Taylor K PullingerDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States.
Eric A SobieDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States.ORCID 0000-0001-7327-8538

Funding

Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
Multiscale modeling to map cardiac electrophysiology between speciesU01HL136297 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHRISTINI, DAVID J., SOBIE, ERIC A · 2017 to 2021
$3.2M
Predicting determinants of susceptibility to drug-induced arrhythmiasR01HL167520 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ERIC A SOBIE · 2023 to 2026
$1.7M
HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01 HL 167520HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI) U01 HL 136297NCATS NIH HHS UL1 TR004419NHLBI NIH HHS R01 HL167520NHLBI NIH HHS U01 HL136297
6 · The paper itself

Abstract

Determining whether an ectopic depolarization will lead to a self-perpetuating arrhythmia is of critical importance in determining arrhythmia risk, so it is necessary to understand what factors impact substrate vulnerability. This study sought to explore the impact of cell-to-cell heterogeneity in ion channel conductance on substrate vulnerability to arrhythmia by measuring the duration of the vulnerable window in computational models of one-dimensional cables of ventricular cardiomyocytes. We began by using a population of uniform cable models to determine the mechanisms underlying the vulnerable window phenomenon. We found that in addition to the known importance of

Indexed as

Action PotentialsArrhythmias, CardiacIon ChannelsModels, CardiovascularMyocytes, CardiacAnimalsComputer SimulationHumansIon Channelsarrhythmiacomputer modelingheterogeneitysubstrate vulnerabilityvulnerable window

Identifiers

PMID38758124
PMCPMC11381019

What OpenQuestion holds

Textmetadata
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.