Evidence map›Paper›PMID 31680938›Full record

ArticleFrontiers in pharmacology2019

Global Sensitivity Analysis of Ventricular Myocyte Model-Derived Metrics for Proarrhythmic Risk Assessment.

Jaimit Parikh, Paolo Di Achille, James Kozloski, Viatcheslav Gurev

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  4. Article
  5. Development ofTranslational and clinical pharmacology · 2024
    Article
  6. Proarrhythmic risk assessment of drugs by dVCPT: pharmacometrics & systems pharmacology · 2022
    Article
  7. Article
  8. Article
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  10. Article
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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 1 institution in 1 country.

Jaimit ParikhIBM T.J. Watson Research Center, Yorktown, NY, United States.
Paolo Di AchilleIBM T.J. Watson Research Center, Yorktown, NY, United States.
James KozloskiIBM T.J. Watson Research Center, Yorktown, NY, United States.
Viatcheslav GurevIBM T.J. Watson Research Center, Yorktown, NY, United States.
IBM Research - Thomas J. Watson Research Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiscale computational models of the heart are being extensively investigated for improved assessment of drug-induced torsades de pointes (TdP) risk, a fatal side effect of many drugs. Model-derived metrics such as action potential duration and net charge carried by ionic currents (

Indexed as

computational modelingearly afterdepolarizationsglobal sensitivity analysision channel pharmacologytorsades de pointes

Identifiers

PMID31680938
PMCPMC6797832
OpenAlexW2969461125

What OpenQuestion 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 OpenQuestion graph.