Evidence map›Paper›PMID 38481309›Full record

ArticleItalian journal of pediatrics2024

Etiological analysis of 167 cases of drug-resistant epilepsy in children.

Ran-Ran Zuo, Mei Jin, Su-Zhen Sun

Open access · goldAbstract read
In one paragraph

Article in Italian journal of pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Ran-Ran ZuoDepartment of Neurology, Hebei Childrens Hospital, 133, Jianhua South Street, 050000, Shijiazhuang, Hebei Province, China.
Mei JinDepartment of Neurology, Hebei Childrens Hospital, 133, Jianhua South Street, 050000, Shijiazhuang, Hebei Province, China.
Su-Zhen SunDepartment of Neurology, Hebei Childrens Hospital, 133, Jianhua South Street, 050000, Shijiazhuang, Hebei Province, China. sunsuzhen2004@126.com.
Hospital of Hebei Province · CN

Funding

Key research and development plan of Hebei Province 22377756D
6 · The paper itself

Abstract

backgroundTo analyze the etiological distribution characteristics of drug-resistant epilepsy (DRE) in children, with the aim of providing valuable perspectives to enhance clinical practice.

methodsIn this retrospective study, clinical data were collected on 167 children with DRE who were hospitalized between January 2020 and December 2022, including gender, age of onset, seizure types, video electroencephalogram(VEEG) recordings, neuroimaging, and genetic testing results. Based on the etiology of epilepsy, the enrolled children were categorized into different groups. The rank-sum test was conducted to compare the age of onset for different etiologies.

resultsOf the 167 cases, 89 (53.3%) had a clear etiology. Among them, structural factors account for 23.4%, genetic factors for 19.2%, multiple factors for 7.2%, and immunological factors for 3.6%. The age of onset was significantly earlier in children with genetic causes than those with structural (P < 0.001) or immunological (P = 0.001) causes.

conclusionsMore than half of children with DRE have a distinct underlying cause, predominantly attributed to structural factors, followed by genetic factors. Genetic etiology primarily manifests at an early age, especially among children aged less than one year. This underscores the need for proactive enhancements in genetic testing to unveil the underlying causes and subsequently guide treatment protocols.

Indexed as

Drug Resistant EpilepsyEpilepsyChildElectroencephalographyHumansRetrospective StudiesSeizuresChildrenDrug-resistant epilepsyEtiologyPhenotype

Identifiers

PMID38481309
PMCPMC10938754
OpenAlexW4392740269

What OpenQuestion holds

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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.