Evidence map›Paper›PMID 30079031›Full record

ReviewFrontiers in physiology2018

A Heart for Diversity: Simulating Variability in Cardiac Arrhythmia Research.

Haibo Ni, Stefano Morotti, Eleonora Grandi

Abstract readReview
In one paragraph

Review in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Article
  2. Probabilistic Cardiac Digital Twins for Robust Patient-Specific Modeling.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Population Modeling Approach for Human Cardiac Arrhythmia Risk Prediction.Circulation. Arrhythmia and electrophysiology · 2026
    Article
  5. Large-scale synthetic data enable digital twins of human excitable cells.bioRxiv : the preprint server for biology · 2025
    Article
  6. Article
  7. Precision cardiac electrophysiology: toward digital twins and beyond.Journal of precision medicine (Amsterdam, Netherlands) · 2025
    Article
  8. Exploring the mechanisms of sex-specific proarrhythmia in long QT syndrome through computational modeling.American journal of physiology. Heart and circulatory physiology · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Cell-to-cell heterogeneity in ion channel conductance impacts substrate vulnerability to arrhythmia.American journal of physiology. Heart and circulatory physiology · 2024
    Article
  16. Computational Modeling of Cardiac Electrophysiology.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  17. Article
  18. Article
  19. Review
  20. 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

3 authors.

Haibo NiDepartment of Pharmacology, University of California, Davis, Davis, CA, United States.
Stefano MorottiDepartment of Pharmacology, University of California, Davis, Davis, CA, United States.
Eleonora GrandiDepartment of Pharmacology, University of California, Davis, Davis, CA, United States.

Funding

Comprehensive Structural and Functional Mapping of the Mammalian Cardiac Nervous SystemOT2OD023848 · OD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI EFIMOV, IGOR R, FOWLKES, CHARLESS · 2016 to 2021
$21.4M
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
Modeling of subcellular signaling crosstalk in failing myocytesR00HL138160 · NHLBI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MOROTTI, STEFANO · 2020 to 2022
$722k
Modeling of subcellular signaling crosstalk in failing myocytesK99HL138160 · NHLBI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MOROTTI, STEFANO · 2018 to 2019
$237k
American Heart Association-American Stroke Association 15SDG24910015NHLBI NIH HHS K99 HL138160NHLBI NIH HHS R00 HL138160NHLBI NIH HHS R01 HL131517NHLBI NIH HHS R01 HL141214NIH HHS OT2 OD023848
6 · The paper itself

Abstract

In cardiac electrophysiology, there exist many sources of inter- and intra-personal variability. These include variability in conditions and environment, and genotypic and molecular diversity, including differences in expression and behavior of ion channels and transporters, which lead to phenotypic diversity (e.g., variable integrated responses at the cell, tissue, and organ levels). These variabilities play an important role in progression of heart disease and arrhythmia syndromes and outcomes of therapeutic interventions. Yet, the traditional

Indexed as

arrhythmia mechanismsbig datacardiac electrophysiologycomputational modelingphysiological variability

Identifiers

PMID30079031
PMCPMC6062641

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.