Evidence map›Paper›PMID 42169091›Full record

ArticleSystematic reviews2026

Methods of skeletal age assessment using hand and wrist radiographs in children and their applicability across different ethnicities: systematic review and meta-analysis protocol.

Sameera Wijayawardhana, Deepan Jayapala, Cree Gaskin, Jerrard Fernando, Yasith Mathagasinghe, Pujitha Wickramasinghe

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Article in Systematic reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sameera WijayawardhanaDepartment of Anatomy, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka. sameeraw@kln.ac.lk.ORCID 0000-0002-5725-8235
Deepan JayapalaDepartment of Anatomy, Faculty of Medicine, University of Moratuwa, Moratuwa, Sri Lanka.ORCID 0000-0003-3960-6029
Cree GaskinDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, USA.ORCID 0000-0001-9447-9427
Jerrard FernandoLady Ridgway Hospital for Children, Colombo, Sri Lanka.ORCID 0000-0003-2282-0555
Yasith MathagasingheCentre for Human Anatomy Education, Department of Anatomy and Developmental Biology, School of Biomedical Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia. yasith.mathangasinghe1@monash.edu.ORCID 0000-0003-4641-5642
Pujitha WickramasingheDepartment of Paediatrics, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.ORCID 0000-0002-8355-1283

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSkeletal age assessment using hand and wrist X-rays is commonly used to determine the biological maturity of children. It is invaluable when the chronological age is not known or in diagnosing and treating various endocrine, genetic, and developmental disorders as well as in a forensic context. Skeletal age is affected by both internal and external factors, leading to differences in skeletal maturity between children of different ethnicities. Regional studies have even questioned the applicability of current international skeletal age references across ethnicities.

methodsA comprehensive literature search will be conducted utilising the PubMed, Scopus, Web of Science, EMBASE, and Ovid online databases to identify existing publications. A combination of Medical Subject Headings (MeSH) terms and keywords, including "Skeletal age", "bone age", "radiograph", and "hand", will be used. Data screening and extraction will be done with Covidence software. Two independent reviewers will screen literature against predefined inclusion and exclusion criteria in abstract and full-text forms. A third reviewer will be consulted if consensus cannot be reached. The process will be reported in whole and presented in a PRISMA flow diagram. Study quality will be assessed by using the JBI critical appraisal tool. A meta-analysis will be conducted. DISCUSSION: This review will present a comprehensive analysis of existing literature on the applicability of skeletal age assessment methods using hand and wrist radiographs across different ethnicities. Further, this will be highlighting both strengths and gaps in existing knowledge. The inclusion of high-quality data will facilitate a quantitative meta-analysis for the exploration of ethnic differences in skeletal age assessments, ultimately laying the foundation for the development of population-specific reference standards. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration ID CRD42025646662.

Indexed as

Age Determination by SkeletonEthnicityHandHand BonesWristChildHumansMeta-Analysis as TopicRadiographyResearch DesignSystematic Reviews as TopicBone ageHandRadiographsSkeletal ageX-ray

Identifiers

PMID42169091
PMCPMC13371705

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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.