Evidence map›Paper›PMID 30637460›Full record

ArticleThe Journal of membrane biology2019

A Mathematical Model of the Human Cardiac Na

Tesfaye Negash Asfaw, Vladimir E Bondarenko

Abstract read
PubMed Publisher
In one paragraph

Article in The Journal of membrane biology, 2019. 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
0.5field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. COMPUTATIONAL ANALYSIS OF THE NOVEL LQT3 MUTATIONS G1481V AND Q1491H IN MYOCARDIAL AND PURKINJE CELLS.Annual Modeling and Simulation Conference (ANNSIM). Annual Modeling and Simulation Conference (Online) · 2025
    Article
  3. Article
  4. 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 at 1 institution in 1 country.

Tesfaye Negash AsfawDepartment of Mathematics and Statistics, Georgia State University, 25 Park Place, Room 1346, Atlanta, GA, 30303-3083, USA.
Vladimir E BondarenkoDepartment of Mathematics and Statistics, Georgia State University, 25 Park Place, Room 1346, Atlanta, GA, 30303-3083, USA. vbondarenko@gsu.edu.
Georgia State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sodium ion channel is a membrane protein that plays an important role in excitable cells, as it is responsible for the initiation of action potentials. Understanding the electrical characteristics of sodium channels is essential in predicting their behavior under different physiological conditions. We investigated several Markov models for the human cardiac sodium channel Na

Indexed as

Ion Channel GatingModels, TheoreticalAlgorithmsElectrophysiologyHumansKineticsMarkov ChainsMyocardiumProtein Interaction Domains and MotifsStructure-Activity RelationshipVoltage-Gated Sodium ChannelsVoltage-Gated Sodium ChannelsInactivationIon channel gatingMarkov modelNaV1.5 channelRecovery from inactivation

Identifiers

PMID30637460
OpenAlexW2910747287

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.