Evidence map›Paper›PMID 39976480›Full record

ArticleJournal of clinical research in pediatric endocrinology2025

Automatic Bone Age Determination in Adult Height Prediction for Girls with Early Variants Puberty and Precocious Puberty

Murat Hüseyin Yiğit, Elif Eviz, Şükrü Hatun, Gül Yeşiltepe Mutlu

Abstract read
In one paragraph

Article in Journal of clinical research in pediatric endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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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

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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

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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.

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4 · The record

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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.

Murat Hüseyin YiğitKoç University Hospital, Clinic of Pediatrics, İstanbul, TürkiyeORCID 0009-0001-2250-5478
Elif EvizKoç University Hospital, Clinic of Pediatric Endocrinology and Diabetes, İstanbul, TürkiyeORCID 0000-0002-8889-6811
Şükrü HatunKoç University Hospital, Clinic of Pediatric Endocrinology and Diabetes, İstanbul, TürkiyeORCID 0000-0003-1633-9570
Gül Yeşiltepe MutluKoç University Hospital, Clinic of Pediatric Endocrinology and Diabetes, İstanbul, TürkiyeORCID 0000-0003-3919-7763

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: In cases of precocious puberty, the determination of bone age (BA) is usually performed by clinicians using the Greulich-Pyle (GP) atlas, and there can be significant variation between assessors. The aim of this study was to compare predicted adult height (PAH) calculations based on BA read by the automated BA method “BoneXpert” (BX) with clinician-determined BA-based PAH calculations. Methods: Girls who presented with suspicion of precocious puberty and normal pubertal variants, such as premature thelarche and premature adrenarche, and whose BA determined by both BX and two different clinicians were followed up until reaching near-final height (NFH). Those whose breast development started before the age of 8 years were considered as precocious puberty. Four PAH calculations were performed with two different estimated height calculation methods, the Bayley-Pinneau (BP) and Roche-Wainer-Thissen based on two different BA predictions (Clinician-GP and BX-GP). PAH-standard deviation score (PAH-SDS) and NFH-SDS values of the patients were compared. Results: The median chronological age of the 44 girls included at presentation was 9.3 years, while the median BA was 10.4 years and 10.6 years according to clinician-GP and BX-GP, respectively; mean height-SDS was 0.75 and target height-SDS was -0.28. When they reached NFH, the height-SDS was -0.02. Final analyzes were performed in 26 cases who did not have low birth weight and did not receive puberty-arresting treatment. Delta PAH-SDS-NFH-SDS (Δ-SDS) was compared according to the four different PAH calculations. The closest PAH-SDS value measurement to NFH-SDS was calculated by BP based on BA determined by the BX-GP method (-0.09). Conclusion: PAH calculations using the BP method based on BX-derived GP readings most accurately predict NFH in girls with precocious puberty, and normal pubertal variants.

Indexed as

Age Determination by SkeletonBody HeightPuberty, PrecociousChildFemaleFollow-Up StudiesHumansBone ageBoneXpertearly pubertynormal puberty variantspredicted adult height

Identifiers

PMID39976480
PMCPMC12699090

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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.