Evidence map›Paper›PMID 37964037›Full record

ReviewPediatric radiology2023

Pediatric focal calvarial lesions: an illustrated review.

Tyler McDermott, Mohammad Amarneh, Yutaka Sato, Pankaj Watal, Vijapura Charmi, Michaelangelo Fuortes, Sami Faruqui, T Shawn Sato

Abstract readReview
PubMed Publisher
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Tyler McDermottDepartment of Radiology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Mohammad AmarnehDepartment of Radiology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Yutaka SatoDepartment of Radiology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Pankaj WatalDepartment of Radiology, Nemours Children's Health, Orlando, FL, USA.
Vijapura CharmiDepartment of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Michaelangelo FuortesDepartment of Radiology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Sami FaruquiDepartment of Radiology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
T Shawn SatoDepartment of Radiology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA. shawn-sato@uiowa.edu.ORCID 0000-0002-3082-3070

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Focal skull lesions in children can be diagnostically challenging with a wide variety of potential etiologies. Understanding the diverse pathologies and recognizing their associated clinical and imaging characteristics is crucial for accurate diagnosis and appropriate treatment planning. We review pertinent anatomy of the scalp and calvarium and review different pathologies that can present with focal skull lesions in pediatric patients. These include neoplastic, non-neoplastic tumor-like, congenital, post traumatic, and vascular-associated etiologies. We review the key clinical and imaging features associated with these pathologies and present teaching points to help make the correct diagnosis. It is important for radiologists to be aware of the common and rare etiologies of skull lesions as well as the clinical and imaging characteristics which can be used to develop an accurate differential to ensure a timely diagnosis and initiate appropriate management.

Indexed as

Bone DiseasesSkullChildHumansMagnetic Resonance ImagingTomography, X-Ray ComputedCalvarium anatomyPediatricsSkull lesions

Identifiers

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.