Evidence map›Paper›PMID 34711204›Full record

ArticleBMC pediatrics2021

Early initial video-electro-encephalography combined with variant location predict prognosis of KCNQ2-related disorder.

Yan Xu, Ya-Lan Dou, Xiang Chen, Xin-Ran Dong, Xin-Hua Wang, Bing-Bing Wu, Guo-Qiang Cheng, Yuan-Feng Zhou

Abstract read
In one paragraph

Article in BMC pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
  2. Expert consensus on grading management of electroencephalogram monitoring in neonates.Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2022
    Article
4 · The record

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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

8 authors.

Yan Xu *Department of Neurology, Children's Hospital of Fudan University, National Children's Medical Center, NO.399 Wanyuan Road, Minhang District, Shanghai, 201102, China.
Ya-Lan Dou *Department of clinical Epidemiology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Xiang ChenDepartment of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, NO.399 Wanyuan Road, Minhang District, Shanghai, 201102, China.
Xin-Ran DongMolecular Medical Center, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Xin-Hua WangDepartment of Neurology, Children's Hospital of Fudan University, National Children's Medical Center, NO.399 Wanyuan Road, Minhang District, Shanghai, 201102, China.
Bing-Bing WuThe Molecular Genetic Diagnosis Center, Shanghai Key Lab of Birth Defects, Pediatrics Research Institute, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Guo-Qiang ChengDepartment of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, NO.399 Wanyuan Road, Minhang District, Shanghai, 201102, China. gqchengcm@163.com.
Yuan-Feng ZhouDepartment of Neurology, Children's Hospital of Fudan University, National Children's Medical Center, NO.399 Wanyuan Road, Minhang District, Shanghai, 201102, China. yuanfengzhou99@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe clinical features of KCNQ2-related disorders range from benign familial neonatal seizures 1 to early infantile epileptic encephalopathy 7. The genotype-phenotypic association is difficult to establish.

objectiveTo explore potential factors in neonatal period that can predict the prognosis of neonates with KCNQ2-related disorder.

methodsInfants with KCNQ2-related disorder were retrospectively enrolled in our study in Children's Hospital of Fudan University in China from Jan 2015 to Mar 2020. All infants were older than age of 12 months at time of follow-up, and assessed by Bayley Scales of Infant and Toddler Development-Third Edition (BSID-III) or Wechsler preschool and primary scale of intelligence-fourth edition (WPPSI-IV), then divided into three groups based on scores of BSID-III or WPPSI-IV: normal group, mild impairment group, encephalopathy group. We collected demographic variables, clinical characteristics, neuroimaging data. Considered variables include gender, gestational age, birth weight, age of the initial seizures, early interictal VEEG, variant location, delivery type. Variables predicting prognosis were identified using multivariate ordinal logistic regression analysis.

resultsA total of 52 infants were selected in this study. Early interictal video-electro-encephalography (VEEG) (β = 2.77, 1.20 to 4.34, P = 0.001), and variant location (β = 2.77, 0.03 to 5.5, P = 0.048) were independent risk factors for prognosis. The worse the early interictal VEEG, the worse the prognosis. Patients with variants located in the pore-lining domain or S4 segment are more likely to have a poor prognosis.

conclusionsThe integration of early initial VEEG and variant location can predict prognosis. An individual whose KCNQ2 variant located in voltage sensor, the pore domain, with worse early initial VEEG background, often had an adverse outcome.

Indexed as

Epilepsy, Benign NeonatalSpasms, InfantileElectroencephalographyHumansInfantKCNQ2 Potassium ChannelPrognosisRetrospective StudiesKCNQ2 Potassium ChannelKCNQ2 protein, humanKCNQ2-related disorderMultivariate ordinal logistic regression analysisNeonatePrognosisVariant locationVideo-electro-encephalography

Identifiers

PMID34711204
PMCPMC8555078

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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.