Evidence map›Paper›PMID 38918318›Full record

ReviewJournal of ultrasound2024

Neonatal cerebral ultrasound: anatomical variants and age-related diseases.

Giulia Fichera, Roberto Stramare, Gianni Bisogno, Rolf Wyttenbach, Barbara Simonetti Goeggel, Filippo Del Grande, Chiara Giraudo, Marirosa Cristallo Lacalamita

Registry-linked trialAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of ultrasound, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07427342 (Comparative Analysis of Cerebral Blood Flow in Term and Preterm Neonates Using Doppler Ultrasonography), which is not on this 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.

NCT07427342 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Comparative Analysis of Cerebral Blood Flow in Term and Preterm Neonates Using Doppler Ultrasonography

TypeobservationalSponsorAssiut UniversityRan2026 to 2027Enrolled200ConditionsCerebral Blood Flow
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

8 authors.

Giulia FicheraPediatric Radiology, University Hospital of Padova, Padua, Italy. giulia.fichera@studenti.unipd.it.ORCID http://orcid.org/0000-0003-2977-5304
Roberto StramareDepartment of Cardiac, Thoracic, Vascular Sciences and Public Health (DCTV), University of Padova, Padua, Italy.
Gianni BisognoPediatric Hematology-Oncology Division, University Hospital of Padova, Padua, Italy.
Rolf WyttenbachImaging Institute of Southern Switzerland EOC, Bellinzona, Switzerland.
Barbara Simonetti GoeggelFaculty of Biomedical Sciences, Università Della Svizzera Italiana, Lugano, Switzerland.
Filippo Del GrandeImaging Institute of Southern Switzerland EOC, Bellinzona, Switzerland.
Chiara GiraudoDepartment of Cardiac, Thoracic, Vascular Sciences and Public Health (DCTV), University of Padova, Padua, Italy.
Marirosa Cristallo LacalamitaImaging Institute of Southern Switzerland EOC, Bellinzona, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebral ultrasound is a non-invasive imaging technique widely used for the assessment of brain anatomy and diseases in neonates and infants. Indeed, it allows a precise characterization of common variants such as cavum septum pellucidum or diseases like intraventricular hemorrhage. The aim of this pictorial review is to provide a comprehensive overview of the main ultrasound features of the most common cerebral anatomical variants and disorders detectable by cerebral ultrasound using an age-related approach which could support non-subspecialized radiologists.

Indexed as

BrainBrain DiseasesEchoencephalographyHumansInfant, NewbornUltrasonographyAnatomical variantsBrain disordersCerebral ultrasoundInfants

Identifiers

PMID38918318
PMCPMC11496415

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Registered trials

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.