Evidence map›Paper›PMID 37719765›Full record

ReviewFrontiers in neurology2023

Toward the use of novel alternative methods in epilepsy modeling and drug discovery.

Claudia Miguel Sanz, Miriam Martinez Navarro, Daniel Caballero Diaz, Gentzane Sanchez-Elexpuru, Vincenzo Di Donato

Abstract readReview
In one paragraph

Review in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. CRISPR-Based Gene Therapy for Brain Disease.Molecular neurobiology · 2026
    Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Observational
  9. Review
  10. Article
  11. The fruit flyFrontiers in pharmacology · 2024
    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

5 authors.

Claudia Miguel SanzZeClinics SL, IGTP (Germans Trias I Pujol Research Institute), Badalona, Spain.
Miriam Martinez NavarroZeClinics SL, IGTP (Germans Trias I Pujol Research Institute), Badalona, Spain.
Daniel Caballero DiazZeClinics SL, IGTP (Germans Trias I Pujol Research Institute), Badalona, Spain.
Gentzane Sanchez-ElexpuruZeClinics SL, IGTP (Germans Trias I Pujol Research Institute), Badalona, Spain.
Vincenzo Di DonatoZeClinics SL, IGTP (Germans Trias I Pujol Research Institute), Badalona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epilepsy is a chronic brain disease and, considering the amount of people affected of all ages worldwide, one of the most common neurological disorders. Over 20 novel antiseizure medications (ASMs) have been released since 1993, yet despite substantial advancements in our understanding of the molecular mechanisms behind epileptogenesis, over one-third of patients continue to be resistant to available therapies. This is partially explained by the fact that the majority of existing medicines only address seizure suppression rather than underlying processes. Understanding the origin of this neurological illness requires conducting human neurological and genetic studies. However, the limitation of sample sizes, ethical concerns, and the requirement for appropriate controls (many patients have already had anti-epileptic medication exposure) in human clinical trials underscore the requirement for supplemental models. So far, mammalian models of epilepsy have helped to shed light on the underlying causes of the condition, but the high costs related to breeding of the animals, low throughput, and regulatory restrictions on their research limit their usefulness in drug screening. Here, we present an overview of the state of art in epilepsy modeling describing gold standard animal models used up to date and review the possible alternatives for this research field. Our focus will be mainly on

Indexed as

3Rsalternative methodsanti-epileptic drug screeningDravet syndromeepilepsygenetic modelszebrafish

Identifiers

PMID37719765
PMCPMC10501616

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Registered trials

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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.