Evidence map›Paper›PMID 30663052›Full record

ArticleEpilepsia2019

Drug repurposing for Dravet syndrome in scn1Lab

Jo Sourbron, Michèle Partoens, Chloë Scheldeman, Yifan Zhang, Lieven Lagae, Peter de Witte

Open access · hybridAbstract read
In one paragraph

Article in Epilepsia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

29 citing papers in PubMed, 40 citations in OpenAlex.

  1. Review
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  15. Fenfluramine: a plethora of mechanisms?Frontiers in pharmacology · 2023
    Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. Use of Zebrafish Models to Boost Research in Rare Genetic Diseases.International journal of molecular sciences · 2021
    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

6 authors at 2 institutions in 1 country.

Jo SourbronLaboratory for Molecular Biodiscovery, Department of Pharmaceutical and Pharmacological Sciences, University of Leuven, Leuven, Belgium.
Michèle PartoensLaboratory for Molecular Biodiscovery, Department of Pharmaceutical and Pharmacological Sciences, University of Leuven, Leuven, Belgium.
Chloë ScheldemanLaboratory for Molecular Biodiscovery, Department of Pharmaceutical and Pharmacological Sciences, University of Leuven, Leuven, Belgium.
Yifan ZhangLaboratory for Molecular Biodiscovery, Department of Pharmaceutical and Pharmacological Sciences, University of Leuven, Leuven, Belgium.
Lieven LagaeDepartment of Development and Regeneration, Section Pediatric Neurology, University of Leuven University Hospital, Leuven, Belgium.
Peter de WitteLaboratory for Molecular Biodiscovery, Department of Pharmaceutical and Pharmacological Sciences, University of Leuven, Leuven, Belgium.
KU Leuven · BEVrije Universiteit Brussel · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dravet syndrome (DS) is a severe genetic epileptic encephalopathy with onset during the first year of life. Zebrafish models recapitulating human diseases are often used as drug discovery platforms, but also for drug repurposing testing. It was recently shown that pharmacological modulation of three serotonergic (5-HT) receptors (5-HT

Indexed as

Drug RepositioningAnimalsAnimals, Genetically ModifiedAnticonvulsantsDisease Models, AnimalDrug Resistant EpilepsyEpilepsies, MyoclonicNAV1.1 Voltage-Gated Sodium ChannelZebrafishZebrafish ProteinsAnticonvulsantsNAV1.1 Voltage-Gated Sodium Channelscn1laa protein, zebrafishZebrafish Proteinsdrug-resistantepilepsymarketed medicines

Identifiers

PMID30663052
PMCPMC6850687
OpenAlexW2911282232

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.