Evidence map›Paper›PMID 39594643›Full record

ReviewCells2024

Animal Models of Febrile Seizures: Limitations and Recent Advances in the Field.

Alexandra V Griflyuk, Tatyana Y Postnikova, Aleksey V Zaitsev

Abstract readReview
In one paragraph

Review in Cells, 2024. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

3 authors.

Alexandra V GriflyukSechenov Institute of Evolutionary Physiology and Biochemistry of Russian Academy of Sciences, 44, Toreza Prospekt, Saint Petersburg 194223, Russia.ORCID 0000-0002-2378-2020
Tatyana Y PostnikovaSechenov Institute of Evolutionary Physiology and Biochemistry of Russian Academy of Sciences, 44, Toreza Prospekt, Saint Petersburg 194223, Russia.ORCID 0000-0002-7049-4478
Aleksey V ZaitsevSechenov Institute of Evolutionary Physiology and Biochemistry of Russian Academy of Sciences, 44, Toreza Prospekt, Saint Petersburg 194223, Russia.ORCID 0000-0002-4503-0647

Funding

Russian Science Foundation 23-25-00143
6 · The paper itself

Abstract

Febrile seizures (FSs) are defined as seizures occurring in children aged 6 months to 5 years with a background of elevated body temperature. It is one of the most common neurological disorders of childhood, emphasizing the importance of understanding the causes of FSs and their impact on the developing nervous system. However, there are significant limitations to the technologies currently available for studying the etiology and pathophysiology of seizures in humans. It is currently not possible to adequately capture the subtle molecular and structural rearrangements of the nervous system that can occur after seizures in humans. The use of animal models can be invaluable for these purposes. The most commonly used models in modern research are hyperthermic models in rats and mice aged 10-12 days. While these models can reproduce many of the characteristics of FSs, they have certain limitations. This review outlines the key considerations when working with models of FSs, provides an overview of current approaches to producing seizures in different model subjects, and presents a summary of key findings regarding morphological and functional changes in the brain and behavioral alterations that have been identified in studies using animal models of FSs.

Indexed as

Disease Models, AnimalSeizures, FebrileAnimalsBrainHumansMiceRatsanimal modelepilepsyhippocampushyperthermiarat

Identifiers

PMID39594643
PMCPMC11592604

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.