Evidence map›Paper›PMID 37122177›Full record

ArticleJournal of child neurology2023

A National, Electronic Health Record-Based Study of Perinatal Hemorrhagic and Ischemic Stroke.

Stuart Fraser, Samantha M Levy, Yashar Talebi, Sean I Savitz, Alicia Zha, Gen Zhu, Hulin Wu

Open access · hybridAbstract read
In one paragraph

Article in Journal of child neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. [Neurodevelopmental outcomes in different types of neonatal stroke].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2026
    Article
  3. Article
  4. Article
  5. Hemorrhagic stroke in children.Journal of central nervous system disease · 2024
    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

7 authors at 2 institutions in 1 country.

Stuart FraserDivision of Vascular Neurology, Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.ORCID 0000-0003-4390-0490
Samantha M LevyDepartment of Biostatistics and Data Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.
Yashar TalebiDepartment of Biostatistics and Data Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.
Sean I SavitzDivision of Vascular Neurology, Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.
Alicia ZhaInstitute for Stroke and Cerebrovascular Disease, University of Texas Health Science Center at Houston, Houston, TX, USA.
Gen ZhuDepartment of Biostatistics and Data Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.
Hulin WuInstitute for Stroke and Cerebrovascular Disease, University of Texas Health Science Center at Houston, Houston, TX, USA.
The University of Texas Health Science Center at Houston · USThe Ohio State University · US

Funding

THE UNIVERSITY OF TEXAS HOUSTON STROKE TRAINING PROGRAMT32NS007412 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI SAVITZ, SEAN I · 1998 to 2023
$4.6M
Research Training of Anesthesiology Physician-ScientistsT32GM135118 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Holger K. Eltzschig, Cynthia Ju · 2022 to 2026
$1.1M
NIGMS NIH HHS T32 GM135118NINDS NIH HHS T32 NS007412
6 · The paper itself

Abstract

backgroundPerinatal stroke occurs in approximately 1 in 1100 live births. Large electronic health record (EHR) data can provide information on exposures associated with perinatal stroke in a larger number of patients than is achievable through traditional clinical studies. The objective of this study is to assess prevalence and odds ratios of known and theorized comorbidities with perinatal ischemic and hemorrhagic stroke.

methodsThe data for patients aged 0-28 days with a diagnosis of either ischemic or hemorrhagic stroke were extracted from the Cerner Health Facts Electronic Medical Record (EMR) database. Incidence of birth demographics and perinatal complications were recorded. Odds ratios were calculated against a control group.

resultsA total of 535 (63%) neonates were identified with ischemic stroke and 312 (37%) with hemorrhagic stroke. The most common exposures for ischemic stroke were sepsis (n = 82, 15.33%), hypoxic injury (n = 61, 11.4%), and prematurity (n = 49, 9.16%). The most common comorbidities for hemorrhagic stroke were prematurity (n = 81, 26%) and sepsis (n = 63, 20%). No perinatal ischemic stroke patients had diagnosis codes for cytomegalovirus disease. Procedure and diagnosis codes related to critical illness, including intubation and resuscitation, were prominent in both hemorrhagic (n = 46, 15%) and ischemic stroke (n = 45, 8%).

conclusionThis electronic health record-based study of perinatal stroke, the largest of its kind, demonstrated a wide variety of comorbid conditions with ischemic and hemorrhagic stroke. Sepsis, prematurity, and hypoxic injury are associated with perinatal hemorrhagic and ischemic stroke, though prevalence varies between types. Much of our data were similar to prior studies, which lends validity to the electronic health record database in studying perinatal stroke.

Indexed as

Hemorrhagic StrokeInfant, Newborn, DiseasesIschemic StrokeSepsisStrokeElectronic Health RecordsHumansInfant, Newbornintracranial hemorrhagepediatric neurologyperinatal stroke

Identifiers

PMID37122177
PMCPMC10213126
OpenAlexW4367053361

What OpenQuestion holds

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LicenceCC BY
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.