Evidence map›Paper›PMID 34061213›Full record

ReviewDer Radiologe2021

[Imaging of hepatic tumors in children and adolescents].

S Tschauner, M Riccabona

Open access · hybridAbstract readReview
In one paragraph

Review in Der Radiologe, 2021. 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
0.1field-weighted citation impact, top 56% 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, 1 citations in OpenAlex.

  1. [Developmental disorders of the gastrointestinal tract].Radiologie (Heidelberg, Germany) · 2024
    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

2 authors at 1 institution in 1 country.

S TschaunerKlinische Abteilung für Kinderradiologie, Universitätsklinik für Radiologie, Medizinische Universität Graz, Auenbruggerplatz 34, 8036, Graz, Österreich. sebastian.tschauner@medunigraz.at.
M RiccabonaKlinische Abteilung für Kinderradiologie, Universitätsklinik für Radiologie, Medizinische Universität Graz, Auenbruggerplatz 34, 8036, Graz, Österreich.
Medical University of Graz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPediatric liver tumors are relatively rare, but thorough knowledge of their imaging features is still important.

objectivesFrequency and imaging features of benign and malignant liver masses during childhood and adolescence. MATERIALS AND

methodsDiscussion of relevant original articles, review manuscripts and expert recommendations concerning imaging of childhood liver tumors.

resultsThe most common malignant tumors of the liver are hepatoblastoma, which usually occur in younger children, as well as in some regions hepatocellular carcinoma. In contrast to most benign masses, such as focal nodular hyperplasia, simple cysts or fatty liver infiltrations, their imaging morphology is not very characteristic. Radiologically, sonography and magnetic resonance imaging (MRI) are used for assessment. Both methods benefit from intravenous contrast agent administration.

conclusionsChildhood liver tumors show a broad spectrum of morphological manifestations. Some entities can be characterized using standard imaging, some require multimodal imaging or histological assessment. In addition to morphological imaging criteria, age and the medical history as well as laboratory data play an important role in establishing the correct diagnosis.

Indexed as

Carcinoma, HepatocellularFocal Nodular HyperplasiaLiver NeoplasmsAdolescentChildContrast MediaHumansUltrasonographyContrast MediaImagingLiver neoplasmsMagnetic resonance imagingSonographyStaging

Identifiers

PMID34061213
PMCPMC8257542
OpenAlexW3165699332

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.