Evidence map›Paper›PMID 38038844›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Computational Modeling of Cardiac Electrophysiology.

Haibo Ni, Eleonora Grandi

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 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
2.1field-weighted citation impact, top 10% of its field
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 citations in OpenAlex.

  1. Review
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 at 1 institution in 1 country.

Haibo NiDepartment of Pharmacology, University of California, Davis, CA, USA. hbni@ucdavis.edu.
Eleonora GrandiDepartment of Pharmacology, University of California, Davis, CA, USA. egrandi@ucdavis.edu.
University of California, Davis · US

Funding

Project 3 (Mercola)P01HL141084 · NHLBI · STANFORD UNIVERSITY · PI MARK MERCOLA · 2019 to 2026
$21.1M
Development of the Predictive NeuroCardiovascular SimulatorOT2OD026580 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CLANCY, COLLEEN E, GRANDI, ELEONORA · 2018 to 2021
$5.7M
Sex-specific arrhythmogenic mechanisms of atrial fibrillationR01HL131517 · NHLBI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Eleonora Grandi · 2016 to 2026
$5.0M
Functional Microdomains in the Heart's Pacemaker: A New Dimension of Cardiac RemodelingR01HL141214 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI Alexey V Glukhov · 2018 to 2026
$3.8M
NHLBI NIH HHS P01 HL141084NHLBI NIH HHS R01 HL131517NHLBI NIH HHS R01 HL141214NIH HHS OT2 OD026580
6 · The paper itself

Abstract

Mathematical modeling and simulation are well-established and powerful tools to integrate experimental data of individual components of cardiac electrophysiology, excitation-contraction coupling, and regulatory signaling pathways, to gain quantitative and mechanistic insight into pathophysiological processes and guide therapeutic strategies. Here, we briefly describe the processes governing cardiac myocyte electrophysiology and Ca

Indexed as

Electrophysiologic Techniques, CardiacModels, CardiovascularAction PotentialsComputer SimulationMyocytes, CardiacUncertaintyAction potentialCardiac electrophysiologyComputational modelingExcitation-contraction couplingPopulation-based modelingSensitivity analysis

Identifiers

PMID38038844
OpenAlexW4389242622

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.