Evidence map›Paper›PMID 39075876›Full record

ReviewExpert opinion on drug discovery2024

Innovative drug discovery strategies in epilepsy: integrating next-generation syndrome-specific mouse models to address pharmacoresistance and epileptogenesis.

Melissa Barker-Haliski, Nicole A Hawkins

Abstract readReview
In one paragraph

Review in Expert opinion on drug discovery, 2024. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Review
  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.

Melissa Barker-HaliskiPharmaceutics, University of Washington, Seattle, WA, USA.ORCID 0000-0002-8175-0553
Nicole A HawkinsFeinberg School of Medicine Chicago, Northwestern University, Chicago, IL, USA.ORCID 0009-0008-4057-8225

Funding

NCCIH Supplement to NCATS/CTSA Program for KL2 Scholars - M. SoddersKL2TR002317 · NCATS · UNIVERSITY OF WASHINGTON · PI Christy Michelle McKinney · 2017 to 2026
$14.5M
Impact of Chronic Seizures on Neuropsychiatric Comorbidities in AD-Associated ModelsR01AG067788 · NIA · UNIVERSITY OF WASHINGTON · PI BARKER-HALISKI, MELISSA LEIGH · 2020 to 2024
$1.9M
Investigational WNT-pathway modulators for the treatment and prevention of drug-resistant seizuresR61NS126626 · NINDS · UNIVERSITY OF WASHINGTON · PI BARKER-HALISKI, MELISSA LEIGH · 2023 to 2024
$558k
NCATS NIH HHS KL2 TR002317NIA NIH HHS R01 AG067788NINDS NIH HHS R61 NS126626
6 · The paper itself

Abstract

introductionAlthough there are numerous treatment options already available for epilepsy, over 30% of patients remain resistant to these antiseizure medications (ASMs). Historically, ASM discovery has relied on the demonstration of efficacy through the use of 'traditional' acute AREAS COVERED: In this review, the authors discuss how it is likely that next-generation drug discovery efforts for epilepsy will more comprehensively integrate syndrome-specific epilepsy models into early drug discovery providing the reader with their expert perspectives. EXPERT OPINION: The percentage of patients with pharmacoresistant epilepsy has remained unchanged despite over 30 marketed ASMs. Consequently, there is a high unmet need to reinvent and revise discovery strategies to more effectively address the remaining needs of patients with specific epilepsy syndromes, including drug-resistant epilepsy and DEEs.

Indexed as

AnticonvulsantsDisease Models, AnimalDrug DiscoveryDrug Resistant EpilepsyEpilepsyAnimalsCannabidiolHumansMiceAnticonvulsantsCannabidiolAlzheimer’scannabidiolDevelopmental and epileptic encephalopathylamotrigine-resistant corneal kindled mousesoticlestatTheiler’s virus encephalitis model

Identifiers

PMID39075876
PMCPMC11390315

What OpenQuestion holds

Textmetadata
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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.