Evidence map›Paper›PMID 38661815›Full record

SynthesisEuropean journal of pediatrics2024

Risk factors of neonatal stroke from different origins: a systematic review and meta-analysis.

Yankun Song, Shangbin Li, Ling Hao, Yiwei Han, Wenhui Wu, Yuqing Fan, Xiong Gao, Xueying Li, Changjun Ren, Yuan Chen

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in European journal of pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
4.4field-weighted citation impact, top 7% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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

10 authors at 1 institution in 1 country.

Yankun Song *Department of Pediatrics, First Affifiliated Hospital of Hebei Medical University, Hebei Medical University, Shijiazhuang, 050000, China.
Shangbin Li *Department of Pediatrics, First Affifiliated Hospital of Hebei Medical University, Hebei Medical University, Shijiazhuang, 050000, China.
Ling HaoDepartment of Pediatrics, First Affifiliated Hospital of Hebei Medical University, Hebei Medical University, Shijiazhuang, 050000, China.
Yiwei HanDepartment of Pediatrics, First Affifiliated Hospital of Hebei Medical University, Hebei Medical University, Shijiazhuang, 050000, China.
Wenhui WuDepartment of Pediatrics, First Affifiliated Hospital of Hebei Medical University, Hebei Medical University, Shijiazhuang, 050000, China.
Yuqing FanDepartment of Pediatrics, First Affifiliated Hospital of Hebei Medical University, Hebei Medical University, Shijiazhuang, 050000, China.
Xiong GaoDepartment of Pediatrics, First Affifiliated Hospital of Hebei Medical University, Hebei Medical University, Shijiazhuang, 050000, China.
Xueying LiDepartment of Pediatrics, First Affifiliated Hospital of Hebei Medical University, Hebei Medical University, Shijiazhuang, 050000, China.
Changjun RenDepartment of Pediatrics, First Affifiliated Hospital of Hebei Medical University, Hebei Medical University, Shijiazhuang, 050000, China. renchangjun@hebmu.edu.cn.
Yuan ChenDepartment of Pediatrics, the Second Hospital of Hebei medical university, Hebei Medical University, Shijiazhuang, 050000, China. yuanchen@hebmu.edu.cn.
Hebei Medical University · CN

Funding

Hebei Provincial Bureau of Foreign Experts Affairs YZ202302
6 · The paper itself

Abstract

Given the persistent ambiguity regarding the etiology of neonatal stroke across diverse origins, our objective was to conduct a comprehensive evaluation of both qualitative and quantitative risk factors. An exhaustive search of eight databases was executed to amass all pertinent observational studies concerning risk factors for neonatal stroke from various origins. Subsequent to independent screening, data extraction, and bias assessment by two researchers, a meta-analysis was conducted utilizing RevMan and Stata software. Nineteen studies, encompassing a total of 30 factors, were incorporated into this analysis. Beyond established risk factors, our investigation unveiled gestational diabetes (OR, 5.51; P < 0.00001), a history of infertility (OR, 2.44; P < 0.05), placenta previa (OR, 3.92; P = 0.02), postdates (OR, 2.07; P = 0.01), preterm labor (OR, 2.32; P < 0.00001), premature rupture of membranes (OR, 3.02; P = 0.007), a prolonged second stage of labor (OR, 3.94; P < 0.00001), and chorioamnionitis (OR, 4.35; P < 0.00001) as potential risk factors for neonatal cerebral arterial ischemic stroke. Additionally, postdates (OR, 4.31; P = 0.003), preterm labor (OR, 1.60; P < 0.00001), an abnormal CTG tracing (OR, 9.32; P < 0.0001), cesarean section (OR, 4.29; P = 0.0004), male gender (OR, 1.73; P = 0.02), and vaginal delivery (OR, 1.39; P < 0.00001) were associated with an elevated risk for neonatal hemorrhagic stroke.

conclusionsThis study provides a succinct overview and comparative analysis of maternal, perinatal, and additional risk factors associated with neonatal cerebral artery ischemic stroke and neonatal hemorrhagic stroke, furnishing critical insights for healthcare practitioners involved in the diagnosis and prevention of neonatal stroke. This research also broadens the conceptual framework for future investigations. WHAT IS KNOWN: • Research indicates that prenatal, perinatal, and neonatal risk factors can elevate the risk of neonatal arterial ischemic stroke (NAIS). However, the risk factors for neonatal cerebral arterial ischemic stroke remain contentious, and those for neonatal hemorrhagic stroke (NHS) and neonatal cerebral venous sinus thrombosis (CVST) are still not well-defined. WHAT IS NEW: • This study is the inaugural comprehensive review and meta-analysis encompassing 19 studies that explore maternal, perinatal, and various risk factors linked to neonatal stroke of differing etiologies. Notably, our analysis elucidates eight risk factors associated with NAIS: gestational diabetes mellitus, a history of infertility, placenta previa, postdates, preterm birth, premature rupture of membranes, a prolonged second stage of labor, and chorioamnionitis. Furthermore, we identify six risk factors correlated with NHS: postdates, preterm birth, an abnormal CTG, the method of delivery, male gender, and vaginal delivery. Additionally, our systematic review delineates risk factors associated with CVST.

Indexed as

StrokeFemaleHumansInfant, NewbornPregnancyRisk FactorsMeta-analysisNewbornRisk factorsStroke

Identifiers

PMID38661815
OpenAlexW4395466685

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.