Evidence map›Paper›PMID 42181570›Full record

ArticleFrontiers in pediatrics2026

Online registration of neonatal stroke in Shenzhen: protocol for a multicentre, prospective, observational cohort study.

Xiaoli Zhao, Hongqin Zhang, Lijuan Sheng, Zhangbin Yu, Yanping Guo, Hanni Lin, Xuelei Gong, Xueli Zhang, Miao Tang, Jiaoyu Mao and 19 more

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.

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

29 authors.

Xiaoli ZhaoDepartment of Neonatology, Shenzhen Children's Hospital, Shenzhen, Guangdong, China.
Hongqin ZhangDepartment of Neonatology, Nanshan Maternal and Child Healthcare Hospital, Shenzhen, Guangdong, China.
Lijuan ShengDepartment of Neonatology, Shenzhen People's Hospital, Shenzhen, Guangdong, China.
Zhangbin YuDepartment of Neonatology, Shenzhen People's Hospital, Shenzhen, Guangdong, China.
Yanping GuoDepartment of Neonatology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.
Hanni LinDepartment of Neonatology, Shenzhen Luohu People's Hospital, Shenzhen, Guangdong, China.
Xuelei GongDepartment of Neonatology, Shenzhen Luohu Maternal and Child Healthcare Hospital, Shenzhen, Guangdong, China.
Xueli ZhangDepartment of Neonatology, Longhua People's Hospital, Shenzhen, Guangdong, China.
Miao TangDepartment of Neonatology, Futian District Maternal and Child Health Hospital, Shenzhen, Guangdong, China.
Jiaoyu MaoDepartment of Neonatology, Shenzhen Nanshan People's Hospital, Shenzhen, Guangdong, China.
Genshen ZhengDepartment of Neonatology, Shenzhen Far East Obstetrics and Gynecology Hospital, Longgang Obstetrics and Gynecology Hospital, Shenzhen, Guangdong, China.
YuanYuan LiDepartment of Neonatology, Shenzhen Bao'an People's Hospital, Shenzhen, Guangdong, China.
Yan HuangDepartment of Neonatology, Shenzhen Baoan Women's and Children's Hospital, Shenzhen, Guangdong, China.
Fangshi ZhangDepartment of Neonatology, Shenzhen Yantian District People's Hospital, Shenzhen, Guangdong, China.
Zhangcong LiangDepartment of Neonatology, Shenzhen Longgang District Third People's Hospital, Guangdong, Shenzhen, China.
Jing FengDepartment of Neonatology, Longgang District Maternal and Child Healthcare Hospital, Shenzhen, Guangdong, China.
Lichun BaiDepartment of Neonatology, Shenzhen Guangming District People's Hospital, Shenzhen, Guangdong, China.
Yaping LiuDepartment of Neonatology, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China.
Yinsha CaiDepartment of Neonatology, Shenzhen Second People's Hospital, Shenzhen, Guangdong, China.
Zhifeng HuangDepartment of Neonatology, Shenzhen Maternal and Child Healthcare Hospital, Shenzhen, Guangdong, China.
Qianshen ZhangDepartment of Neonatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China.
Aiyun ZhangDepartment of Neonatology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China.
Xiaoyi FangDepartment of Neonatology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China.
Jingxing CaiDepartment of Neonatology, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China.
Xue TangDepartment of Neonatology, Shenzhen Children's Hospital, Shenzhen, Guangdong, China.
Xufeng LuoDepartment of Neonatology, Shenzhen Children's Hospital, Shenzhen, Guangdong, China.
Jinxing FengDepartment of Neonatology, Shenzhen Children's Hospital, Shenzhen, Guangdong, China.
Lina Men *Department of Neonatology, Shenzhen Children's Hospital, Shenzhen, Guangdong, China.
Di Gao *Department of Neonatology, Shenzhen Children's Hospital, Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Neonatal stroke remains a primary cause of permanent neurological disability. While global prognostic frameworks, including magnetic resonance imaging (MRI) of the posterior limb of the internal capsule (PLIC), General Movements Assessment (GMA), and the Hammersmith Infant Neurological Examination (HINE), have been established to predict motor outcomes, these tools have not been systematically integrated into large-scale Chinese clinical registries. In regions like Shenzhen, the scarcity of prospective, multicenter data continues to hinder the characterization of stroke incidence, risk factors, and long-term outcomes. This protocol details the establishment of the first dedicated online registry in Shenzhen to address these critical evidence gaps. Methods and analysis: This multicenter, prospective, observational cohort study aims to enroll 300 neonates diagnosed with stroke, including arterial ischemic, hemorrhagic, and cerebral venous sinus thrombosis subtypes from a network of 22 hospitals in Shenzhen, China, between January 2025 and December 2030. Data collection will utilize standardized electronic case report forms (eCRFs), initially managed via a uniform digital system ( Supplementary File 1), with a planned transition to a secure web-based registry for broader access. Participants will undergo longitudinal follow-up until age five, with neurodevelopmental outcomes assessed using the Bayley Scales of Infant and Toddler Development (4th Ed., Chinese Version), 3T cranial MRI, and video-EEG. To explore the metabolic-inflammatory nexus of neonatal injury, placental pathology will be integrated into the clinical data, and a biobank of stool and breast milk samples will be established. The primary outcome is the registry-based incidence of neonatal stroke. In contrast, secondary outcomes include characterizing clinical subtypes, identifying prenatal/perinatal risk factors, and developing and internally validating a robust prognostic prediction model.

Indexed as

follow-up strategyinfantneurodevelopmental disorderregistrystroke

Identifiers

PMID42181570
PMCPMC13195399

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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.