Evidence map›Paper›PMID 30482568›Full record

ArticleProgress in biophysics and molecular biology2019

Predicting critical drug concentrations and torsadogenic risk using a multiscale exposure-response simulator.

Francisco Sahli Costabal, Jiang Yao, Anna Sher, Ellen Kuhl

Open access · greenAbstract read
In one paragraph

Article in Progress in biophysics and molecular biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Francisco Sahli CostabalDepartment of Mechanical Engineering, Stanford University, Stanford, CA, 94305, United States.
Jiang YaoDassault Systèmes Simulia Corporation, Johnston, RI, 02919, United States.
Anna SherInternal Medicine Research Unit, Pfizer Inc, Cambridge, MA, 02139, United States.
Ellen KuhlDepartment of Mechanical Engineering, Stanford University, Stanford, CA, 94305, United States. Electronic address: ekuhl@stanford.edu.
Stanford University · USDassault Systèmes (United States) · USPfizer (United States) · US

Funding

Multi-Scale Laws of Myocardial Growth and RemodelingU01HL119578 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GUCCIONE, JULIUS MATTEO, KASSAB, GHASSAN S · 2014 to 2018
$3.8M
NHLBI NIH HHS U01 HL119578
6 · The paper itself

Abstract

Torsades de pointes is a serious side effect of many drugs that can trigger sudden cardiac death, even in patients with structurally normal hearts. Torsadogenic risk has traditionally been correlated with the blockage of a specific potassium channel and a prolonged recovery period in the electrocardiogram. However, the precise mechanisms by which single channel block translates into heart rhythm disorders remain incompletely understood. Here we establish a multiscale exposure-response simulator that converts block-concentration characteristics from single cell recordings into three-dimensional excitation profiles and electrocardiograms to rapidly assess torsadogenic risk. For the drug dofetilide, we characterize the QT interval and heart rate at different drug concentrations and identify the critical concentration at the onset of torsades de pointes: For dofetilide concentrations of 2x, 3x, and 4x, as multiples of the free plasma concentration C

Indexed as

Models, CardiovascularAction PotentialsDose-Response Relationship, DrugElectrocardiographyEndocardiumHeartHeart RateHumansPericardiumPhenethylaminesPotassiumPurkinje CellsRisk AssessmentSingle-Cell AnalysisSulfonamidesTorsades de PointesdofetilidePhenethylaminesPotassiumSulfonamidesComputational modelingEarly afterdepolarizationsElectrophysiologyFinite element analysisPharmacologyTorsades de pointes

Identifiers

PMID30482568
PMCPMC6483901
OpenAlexW2898527643

What OpenQuestion holds

Textmetadata
LicenceTDM
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.