Evidence map›Paper›PMID 33763394›Full record

ArticleFrontiers in pediatrics2021

Consensus Approach for Standardizing the Screening and Classification of Preterm Brain Injury Diagnosed With Cranial Ultrasound: A Canadian Perspective.

Khorshid Mohammad, James N Scott, Lara M Leijser, Hussein Zein, Jehier Afifi, Bruno Piedboeuf, Linda S de Vries, Gerda van Wezel-Meijler, Shoo K Lee, Prakesh S Shah

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
16.0field-weighted citation impact, top 1% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Neurodevelopmental impairment in preterm infants following progressive post-hemorrhagic ventricular dilatation.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Modeling Posthemorrhagic Hydrocephalus of Prematurity in Rats.Journal of visualized experiments : JoVE · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Transforming neonatal care with artificial intelligence: challenges, ethical consideration, and opportunities.Journal of perinatology : official journal of the California Perinatal Association · 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

10 authors at 7 institutions in 2 countries.

Khorshid MohammadDepartment of Pediatrics, University of Calgary, Calgary, AB, Canada.
James N ScottDepartments of Diagnostic Imaging and Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.
Lara M LeijserDepartment of Pediatrics, University of Calgary, Calgary, AB, Canada.
Hussein ZeinDepartment of Pediatrics, University of Calgary, Calgary, AB, Canada.
Jehier AfifiDepartment of Pediatrics, Dalhousie University, Halifax, NS, Canada.
Bruno PiedboeufDepartment of Pediatrics, Université Laval and Centre de recherche du CHU de Québec - Université Laval, Quebec City, QC, Canada.
Linda S de VriesDepartment of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Brain Center, University Utrecht, Utrecht, Netherlands.
Gerda van Wezel-MeijlerIsala Women and Children's hospital, Zwolle, Netherlands.
Shoo K LeeDepartment of Pediatrics, Mount Sinai hospital, Toronto, ON, Canada.
Prakesh S ShahDepartment of Pediatrics, Mount Sinai hospital, Toronto, ON, Canada.
University of Calgary · CADalhousie University · CAIsala · NLMount Sinai Hospital · CAUniversité Laval · CAUniversity Medical Center Utrecht · NLUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acquired brain injury remains common in very preterm infants and is associated with significant risks for short- and long-term morbidities. Cranial ultrasound has been widely adopted as the first-line neuroimaging modality to study the neonatal brain. It can reliably detect clinically significant abnormalities that include germinal matrix and intraventricular hemorrhage, periventricular hemorrhagic infarction, post-hemorrhagic ventricular dilatation, cerebellar hemorrhage, and white matter injury. The purpose of this article is to provide a consensus approach for detecting and classifying preterm brain injury to reduce variability in diagnosis and classification between neonatologists and radiologists. Our overarching goal with this work was to achieve homogeneity between different neonatal intensive care units across a large country (Canada) with regards to classification, timing of brain injury screening and frequency of follow up imaging. We propose an algorithmic approach that can help stratify different grades of germinal matrix-intraventricular hemorrhage, white matter injury, and ventricular dilatation in very preterm infants.

Indexed as

brain injurycranial ultrasonographyintraventriclar hemorrhagepost-hemorrhagic ventricular dilatationpreterm (birth)

Identifiers

PMID33763394
PMCPMC7982529
OpenAlexW3134308110

What OpenQuestion holds

Textmetadata
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.