Evidence map›Paper›PMID 41746431›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2026

Effect of COVID-19 on the inpatient disease spectrum of pediatric neurological disorders in a tertiary hospital in China.

Yi Wang, Lei Yan, Ning Ma, Yu Hou, Jing Sun, Sanmei Wang, Jun Li, Siqi Hu

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Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 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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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yi Wang *Institute of Pediatrics, Senior Department of Pediatrics, the Seventh Medical Center of PLA General Hospital, Beijing, China.
Lei Yan *Institute of Pediatrics, Senior Department of Pediatrics, the Seventh Medical Center of PLA General Hospital, Beijing, China.
Ning MaInstitute of Pediatrics, Senior Department of Pediatrics, the Seventh Medical Center of PLA General Hospital, Beijing, China.
Yu HouNational Engineering Laboratory for Birth Defect Prevention and Control of Key Technology, Beijing, China.
Jing SunNational Engineering Laboratory for Birth Defect Prevention and Control of Key Technology, Beijing, China.
Sanmei WangNational Engineering Laboratory for Birth Defect Prevention and Control of Key Technology, Beijing, China. wangsanmei2022@163.com.
Jun LiInstitute of Pediatrics, Senior Department of Pediatrics, the Seventh Medical Center of PLA General Hospital, Beijing, China. lijun_0227@126.com.
Siqi HuInstitute of Pediatrics, Senior Department of Pediatrics, the Seventh Medical Center of PLA General Hospital, Beijing, China. husiqi_2000@163.com.ORCID http://orcid.org/0000-0001-6564-9781

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study analyzed the frequency and patterns of pediatric neurological disorders and investigated changes in the inpatient disease spectrum following the COVID-19 pandemic.

methodsA retrospective analysis was conducted on 2,981 children admitted to the Department of Neurology at the Seventh Medical Center of PLA General Hospital in Beijing, China, between January 2019 and December 2024.

resultsAccording to the ICD-10 criteria, the most common diagnoses were “nervous system diseases” (39.74%) and “mental and behavioral disorders” (31.98%). The pandemic led to a significant increase in the proportion of inpatients with mental and behavioral disorders, whereas the proportion of hospitalizations for nervous system diseases among all pediatric neurology admissions decreased. Furthermore, an increase in the number of autism spectrum disorder (ASD) inpatients was observed starting in 2022, with a more notable increase from 2023 to 2024.

conclusionThis study provides detailed insights into shifts in the inpatient disease spectrum of pediatric neurology from 2019 to 2024. These findings, which are based on hospitalized patients, highlight changes in healthcare utilization patterns and may inform hospital resource planning. These findings provide a foundation for future research that incorporates outpatient data to understand the pandemic’s impact on pediatric neurological disorders.

Indexed as

COVID-19HospitalizationNervous System DiseasesTertiary Care CentersAdolescentChildChild, PreschoolChinaFemaleHumansInfantInpatientsMaleMental DisordersPandemicsRetrospective StudiesAutism spectrum disorderClinical presentationCOVID-19Disease spectrumPediatric neurological disorders

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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.