Evidence map›Paper›PMID 42130800›Full record

ArticleFrontiers in pediatrics2026

Epilepsy associated with

Wenqian Zhang, Yuan Wang, Kaili Xu, Li Wang, Ying Wang, Guohong Chen, Yanli Ma

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Wenqian ZhangDepartment of Neurology, Children's Hospital Affiliated to Zhengzhou University/Henan Children's Hospital/Zhengzhou Children's Hospital, Zhengzhou, Henan, China.
Yuan WangDepartment of Neurology, Children's Hospital Affiliated to Zhengzhou University/Henan Children's Hospital/Zhengzhou Children's Hospital, Zhengzhou, Henan, China.
Kaili XuDepartment of Neurology, Children's Hospital Affiliated to Zhengzhou University/Henan Children's Hospital/Zhengzhou Children's Hospital, Zhengzhou, Henan, China.
Li WangDepartment of Neurology, Children's Hospital Affiliated to Zhengzhou University/Henan Children's Hospital/Zhengzhou Children's Hospital, Zhengzhou, Henan, China.
Ying WangDepartment of Neurology, Children's Hospital Affiliated to Zhengzhou University/Henan Children's Hospital/Zhengzhou Children's Hospital, Zhengzhou, Henan, China.
Guohong ChenDepartment of Neurology, Children's Hospital Affiliated to Zhengzhou University/Henan Children's Hospital/Zhengzhou Children's Hospital, Zhengzhou, Henan, China.
Yanli MaDepartment of Neurology, Children's Hospital Affiliated to Zhengzhou University/Henan Children's Hospital/Zhengzhou Children's Hospital, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To summarize the clinical characteristics, treatment response, and prognosis of epilepsy associated with Methods: Clinical and genetic data of six children diagnosed with SYNGAP1-related epilepsy at the Children's Hospital Affiliated to Zhengzhou University between November 2019 and February 2025 were retrospectively analyzed. Results: Among the six patients (four males and two females), the median age at seizure onset was 2 years and 8 months. All patients showed moderate to severe motor and language developmental delay, with prominent language impairment. Seizure types were heterogeneous, mainly including myoclonic seizures, eyelid myoclonia with or without absence seizures, myoclonic-atonic seizures, and absence seizure. Two patients had a history of febrile seizures, and four had identifiable seizure triggers. Electroencephalography revealed generalized or multifocal epileptiform discharges in all patients. Genetic analysis revealed that all six variants were Conclusions: Myoclonic seizures, absence seizures, and eyelid myoclonia are common in

Indexed as

developmental delayepilepsygenetic diagnosisSYNGAP1whole exome sequencing

Identifiers

PMID42130800
PMCPMC13162277

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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.