Evidence map›Paper›PMID 36372855›Full record

ReviewPediatric radiology2023

Chest magnetic resonance imaging in cystic fibrosis: technique and clinical benefits.

Daniel Gräfe, Freerk Prenzel, Franz Wolfgang Hirsch

Open access · hybridFull text readReview
In one paragraph

Review in Pediatric radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Daniel GräfeDepartment of Pediatric Radiology, Leipzig University Hospital, Liebigstraße 20a, 04103, Leipzig, Germany. daniel.graefe@medizin.uni-leipzig.de.ORCID http://orcid.org/0000-0002-7680-0990
Freerk PrenzelDepartment of Pediatrics, Leipzig University Hospital, Liebigstraße 20a, 04103, Leipzig, Germany.ORCID http://orcid.org/0000-0002-2838-593X
Franz Wolfgang HirschDepartment of Pediatric Radiology, Leipzig University Hospital, Liebigstraße 20a, 04103, Leipzig, Germany.ORCID http://orcid.org/0000-0003-0960-3740
University Hospital Leipzig · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cystic fibrosis (CF) is one of the most common inherited and life-shortening pulmonary diseases in the Caucasian population. With the widespread introduction of newborn screening and the development of modulator therapy, tremendous advances have been made in recent years both in diagnosis and therapy. Since paediatric CF patients tend to be younger and have lower morbidity, the type of imaging modality that should be used to monitor the disease is often debated. Computed tomography (CT) is sensitive to many pulmonary pathologies, but radiation exposure limits its use, especially in children and adolescents. Conventional pulmonary magnetic resonance imaging (MRI) is a valid alternative to CT and, in most cases, provides sufficient information to guide treatment. Given the expected widespread availability of sequences with ultra-short echo times, there will be even fewer reasons to perform CT for follow-up of patients with CF. This review aims to provide an overview of the process and results of monitoring CF with MRI, particularly for centres not specialising in the disease.

Indexed as

Cystic FibrosisAdolescentChildHumansInfant, NewbornLungMagnetic Resonance ImagingNeonatal ScreeningTomography, X-Ray ComputedBronchiectasisChestChildrenComputed tomographyCystic fibrosisEichinger scoreFourier decompositionMagnetic resonance imagingPulmonaryUltra-short echo times

Identifiers

PMID36372855
PMCPMC10027634
OpenAlexW4308894017

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read4
identifiers read1
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.