Evidence map›Paper›PMID 40927578›Full record

ArticleFrontiers in pediatrics2025

A pediatric case of anti-GABA

Junxian Fu, Kairu Jia, Tianxia Li, Zhidong Qiao, Yuexin Jia, Xiaofan Yang, Hao Pan, Lu Zhao, Peirong Li, Manjie Zan and 1 more

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Article in Frontiers in pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

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

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

11 authors.

Junxian Fu *Department of Pediatrics, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China.
Kairu Jia *Graduate School, Inner Mongolia Medical University, Hohhot, Inner Mongolia, China.
Tianxia LiDepartment of Pediatrics, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China.
Zhidong QiaoDepartment of Pediatrics, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China.
Yuexin JiaDepartment of Pediatrics, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China.
Xiaofan YangGraduate School, Inner Mongolia Medical University, Hohhot, Inner Mongolia, China.
Hao PanGraduate School, Inner Mongolia Medical University, Hohhot, Inner Mongolia, China.
Lu ZhaoGraduate School, Inner Mongolia Medical University, Hohhot, Inner Mongolia, China.
Peirong LiDepartment of Pediatrics, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China.
Manjie ZanDepartment of Pediatrics, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China.
Guanglu YangDepartment of Pediatrics, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: This study aims to analyze the clinical characteristics of anti-GABA Materials and methods: Using the key words "anti-GABA Results: We report a case of an 8-year-and-6-month-old child with anti-GABA Conclusions: This study suggests that the clinical phenotypes of anti-GABABR encephalitis in children and adults may differ: children are more likely to present with mental and behavioral abnormalities (the initial symptom trend), sleep disorders and involuntary movements (the main symptoms), and their brain imaging is more likely to involve regions such as the basal ganglia and brainstem, and they respond better to immunotherapy. Notably, due to the small sample size of pediatric cases (

Indexed as

anti-GABABR encephalitisautoimmune encephalitisborderline encephalitischildrenclinical characteristics

Identifiers

PMID40927578
PMCPMC12414997

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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.