Evidence map›Paper›PMID 35142891›Full record

ArticlePediatric radiology2022

Spectrum of anatomical variants, normal findings and pathology in and around the paediatric sternum.

Andreas Panayiotou, Marcela De La Hoz Polo, Vivian Tang, Saira Haque

Abstract readCase Reports
PubMed Publisher
In one paragraph

Article in Pediatric radiology, 2022. 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
0.4field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Narrative review of chest wall ultrasound: a practical approach.Quantitative imaging in medicine and surgery · 2024
    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

4 authors at 3 institutions in 2 countries.

Andreas PanayiotouDepartment of Radiology, Kings College Hospital, Denmark Hill, London, SE5 9RS, UK. A.panayiotou.frcr@gmail.com.ORCID 0000-0002-9005-8729
Marcela De La Hoz PoloDepartment of Radiology, Kings College Hospital, Denmark Hill, London, SE5 9RS, UK.
Vivian TangDepartment of Radiology, Royal Manchester Children's Hospital, Manchester, UK.
Saira HaqueDepartment of Radiology, Kings College Hospital, Denmark Hill, London, SE5 9RS, UK.
King's College Hospital · GBKing's College - North Carolina · USRoyal Manchester Children's Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abnormalities of the sternum and adjacent structures are an uncommon presentation in the paediatric population and can have a variety of benign and malignant causes, including normal and developmental variants of the chest wall. Although there is overlap with adults, many sternal abnormalities are unique to the paediatric population. Following clinical examination, radiography is usually the first type of imaging used; however, it is limited and often ultrasound and cross-sectional imaging are needed for further assessment. An understanding of the normal anatomy is important; however, this can be challenging due to the varied appearances of age-related changes of the sternum. The purpose of this article is to familiarize the general paediatric radiologist with the expected anatomy and imaging findings of the developing sternum, anatomical variants and pathology of the sternum and adjacent structures encountered in this group of patients.

Indexed as

Bone DiseasesThoracic DiseasesThoracic WallAdultChildHumansSternumTomography, X-Ray ComputedChildrenComputed tomographyCongenital abnormalityDevelopmental abnormalityInfectionMagnetic resonance imagingSternumTumourUltrasoundVariants

Identifiers

PMID35142891
OpenAlexW4213267505

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.