Evidence map›Paper›PMID 36897404›Full record

ArticleChild's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery2023

A topographical analysis of encephalocele locations: generation of a standardised atlas and cluster analysis.

Vejay Niranjan Vakharia, Sebastien Toescu, Andrew J Copp, Dominic N P Thompson

Open access · greenAbstract read
In one paragraph

Article in Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Clinicopathological profile, management and outcome of patients with congenital encephalocele: a Nigerian tertiary centre experience.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026
    Article
  2. Article
  3. Posterior vault encephaloceles: from antenatal management to post-surgical follow-up-a cooperative study.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2025
    Article
  4. Article
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

4 authors at 3 institutions in 1 country.

Vejay Niranjan VakhariaDepartment of Neurosurgery, Alder Hey Children's NHS Foundation Trust, Liverpool, UK. vejay.vakharia@alderhey.nhs.uk.
Sebastien ToescuDepartment of Neurosurgery, Great Ormond Street Hospital for Children, NHS Foundation Trust, London, UK.
Andrew J CoppDepartment of Neurosurgery, Great Ormond Street Hospital for Children, NHS Foundation Trust, London, UK.
Dominic N P ThompsonDepartment of Neurosurgery, Great Ormond Street Hospital for Children, NHS Foundation Trust, London, UK.
Great Ormond Street Hospital for Children NHS Foundation Trust · GBAlder Hey Children's NHS Foundation Trust · GBUniversity College London · GB

Funding

Medical Research Council MR/W019876/1
6 · The paper itself

Abstract

objectiveEncephaloceles are considered to result from defects in the developing skull through which meninges, and potentially brain tissue, herniate. The pathological mechanism underlying this process is incompletely understood. We aimed to describe the location of encephaloceles through the generation of a group atlas to determine whether they occur at random sites or clusters within distinct anatomical regions.

methodsPatients diagnosed with cranial encephaloceles or meningoceles were identified from a prospectively maintained database between 1984 and 2021. Images were transformed to atlas space using non-linear registration. The bone defect, encephalocele and herniated brain contents were manually segmented allowing for a 3-dimensional heat map of encephalocele locations to be generated. The centroids of the bone defects were clustered utilising a K-mean clustering machine learning algorithm in which the elbow method was used to identify the optimal number of clusters.

resultsOf the 124 patients identified, 55 had volumetric imaging in the form of MRI (48/55) or CT (7/55) that could be used for atlas generation. Median encephalocele volume was 14,704 (IQR 3655-86,746) mm

conclusionThis analysis revealed three predominant clusters for the location of encephaloceles, with the parieto-occipital junction being the most common. The stereotypic location of encephaloceles into anatomically distinct clusters and the coexistence of distinct venous malformations at certain sites suggests that their location is not random and raises the possibility of distinct pathogenic mechanisms unique to each of these regions.

Indexed as

EncephaloceleMeningoceleBrainCluster AnalysisHumansSkullGroup templateK-means clusteringMachine learningPost-neurulation

Identifiers

PMID36897404
PMCPMC7614697
OpenAlexW4323807158

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.