Evidence map›Paper›PMID 41044221›Full record

ArticlePediatric research2026

Bone age evaluation in an ethnically diverse cohort of children with premature adrenarche.

Liya Kerem, Marwa Tuffaha, Aluma Chovel Sella, Luz Elena Castellanos, Jonanlis Ramirez Alcantara, Takara Stanley

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Article in Pediatric research, 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Liya KeremDivision of Pediatric Endocrinology, Department of Pediatrics, Hadassah Hebrew University Medical Center, The Hebrew University of Jerusalem, Jerusalem, Israel. liya.em@gmail.com.ORCID http://orcid.org/0000-0003-3010-038X
Marwa TuffahaDivision of Pediatric Endocrinology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Aluma Chovel SellaThe Jesse Z. and Sara Lea Shafer Institute of Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel.
Luz Elena CastellanosDepartment of Endocrine Neoplasia and Hormonal Disorders, The University of Texas, Anderson Cancer Center, Houston, TX, USA.
Jonanlis Ramirez AlcantaraDivision of Pediatric Endocrinology, Department of Pediatrics, Nicklaus Children's hospital, Miami, FL, USA.
Takara StanleyDivision of Pediatric Endocrinology, Division of General Academic Pediatrics, Massachusetts General Hospital for Children, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBone age (BA) assessment is an essential tool in pediatric endocrinology, used to assess growth and perturbations in pubertal onset. BA advancement is common in children with premature adrenarche (PA), potentially leading to additional evaluation or intervention. The extent to which BA advancement reflects variation in metabolic and demographic factors, including body mass index (BMI), sex, race, and ethnicity, remains insufficiently characterized.

methodsWe conducted a retrospective chart review of 296 children (72% female, mean age 7.3 ± 1.6 years) with isolated PA seen at a tertiary pediatric endocrinology clinic. Absolute and standardized BA advancement were analyzed in relation to BMI, sex, race, and ethnicity. Multivariate linear regression adjusted for age and covariates.

resultsBA advancement was greater in children with obesity (19.2 ± 15.1 months) versus those below the 95th% (11.4 ± 13.5), and in males (19.9 ± 14.3) versus females (12.4 ± 14.3). White race was associated with lower advancement (p = 0.02). BMI (p < 0.0001), male sex (p < 0.0001), and Hispanic vs. White ethnicity (p = 0.023) significantly affected standardized BA advancement.

conclusionBMI, sex, and race/ethnicity influence BA advancement in PA, supporting individualized interpretation and further study of clinical implications. IMPACT: Bone age (BA) advancement is an important consideration in the diagnostic workup of children with premature adrenarche. In this diverse cohort, BMI status, sex, race, and ethnicity were significantly associated with BA advancement, suggesting that both metabolic and demographic factors influence skeletal maturation. While BA advancement in obesity and premature adrenarche is recognized, this study underscores their combined effects and the variability across populations. These findings point to limitations in current BA standards and support the need for individualized interpretation. Further research should explore how BA advancement in obesity and across ethnic groups affects adult height and long-term outcomes.

Indexed as

AdrenarcheAge Determination by SkeletonPuberty, PrecociousBody Mass IndexChildChild, PreschoolEthnicityFemaleHumansMaleObesityRacial GroupsRetrospective StudiesSex Factors

Identifiers

PMID41044221
PMCPMC13638444

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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.