Evidence map›Paper›PMID 33856504›Full record

ReviewPediatric radiology2022

Strategies to optimize a pediatric magnetic resonance imaging service.

Limin Xu, Jeremy Herrington, Kellie Cahill, Seretha Risacher, Michael S Gee

Open access · bronzeAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Pediatric radiology, 2022. 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
–field-weighted citation impact, top 95% 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, 2 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Limin XuDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St., Ellison 237, Boston, MA, 02114, USA.
Jeremy HerringtonDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St., Ellison 237, Boston, MA, 02114, USA.
Kellie CahillDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St., Ellison 237, Boston, MA, 02114, USA.
Seretha RisacherDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St., Ellison 237, Boston, MA, 02114, USA.
Michael S GeeDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St., Ellison 237, Boston, MA, 02114, USA. msgee@mgh.harvard.edu.ORCID 0000-0002-6117-5168
Harvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A pediatric MRI service is a vital component of a successful radiology department. Building an efficient and effective pediatric MRI service is a multifaceted process that requires detailed planning for considerations related to finance, operations, quality and safety, and process improvement. These are compounded by the unique challenges of caring for pediatric patients, particularly in the setting of the recent coronavirus disease 2019 (COVID-19) pandemic. In addition to material resources, a successful pediatric MRI service depends on a collaborative team consisting of radiologists, physicists, technologists, nurses and vendor specialists, among others, to identify and resolve challenges and to strive for continued improvement. This article provides an overview of the factors involved in both starting and optimizing a pediatric MRI service, including commonly encountered obstacles and some proposed solutions to address them.

Indexed as

COVID-19ChildHumansMagnetic Resonance ImagingPandemicsRadiologistsSARS-CoV-2BodyChildrenMagnetic resonance imagingOperationsPediatric radiologyService

Identifiers

PMID33856504
PMCPMC8047568
OpenAlexW3153034090

What OpenQuestion holds

Textmetadata
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.