Evidence map›Paper›PMID 39295087›Full record

ArticleActa paediatrica (Oslo, Norway : 1992)2025

Ultrasound for assessing paediatric body composition and nutritional status: Scoping review and future directions.

Bryan J Ranger, Allison Lombardi, Susie Kwon, Mary Loeb, Hayoung Cho, Keshi He, Donglai Wei, Jinhee Park

Abstract readScoping Review
In one paragraph

Article in Acta paediatrica (Oslo, Norway : 1992), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Assessing the reliability of interprofessional raters on peripheral muscle ultrasonography in pediatric oncology: A prospective observational study.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2026
    Observational
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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

8 authors.

Bryan J RangerDepartment of Engineering, Boston College, Chestnut Hill, Massachusetts, USA.ORCID 0000-0002-4774-3587
Allison LombardiWilliam F. Connell School of Nursing, Boston College, Chestnut Hill, Massachusetts, USA.
Susie KwonWilliam F. Connell School of Nursing, Boston College, Chestnut Hill, Massachusetts, USA.
Mary LoebDepartment of Engineering, Boston College, Chestnut Hill, Massachusetts, USA.
Hayoung ChoDepartment of Engineering, Boston College, Chestnut Hill, Massachusetts, USA.
Keshi HeDepartment of Engineering, Boston College, Chestnut Hill, Massachusetts, USA.
Donglai WeiDepartment of Computer Science, Boston College, Chestnut Hill, Massachusetts, USA.
Jinhee ParkWilliam F. Connell School of Nursing, Boston College, Chestnut Hill, Massachusetts, USA.

Funding

Boston CollegeGoogle
6 · The paper itself

Abstract

aimThis scoping review aims to assess the utility of ultrasound as a prospective tool in measuring body composition and nutritional status in the paediatric population. We provide a comprehensive summary of the existing literature, identify gaps, and propose future research directions.

methodsWe conducted a systematic scoping review following the PRISMA Extension for Scoping Reviews guidelines. This involved screening titles and abstracts of relevant studies, followed by a detailed full-text review and extraction of pertinent data.

resultsWe identified and synthesised 34 articles. The review revealed that while ultrasound has been used to assess body composition and bone properties in children, significant gaps remain in the literature. These include limited studies on ultrasound performance, insufficient attention to relevant sample characteristics, reliance on manual image measurements, and limited sample diversity.

conclusionPoint-of-care ultrasound shows significant promise for assessing paediatric body composition and nutritional status. To validate and enhance its effectiveness, further research is needed. Future studies should include larger and more diverse patient cohorts and conduct longitudinal investigations to evaluate nutritional interventions. Additionally, developing artificial intelligence (AI) for standardising and automating data interpretation will be crucial in improving the accuracy and efficiency of ultrasound assessments.

Indexed as

Body CompositionNutritional StatusUltrasonographyChildHumansartificial intelligencebody compositiongrowth and developmentmachine learningnutritionultrasound imaging

Identifiers

PMID39295087
PMCPMC11627447

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.