Evidence map›Paper›PMID 41367022›Full record

Observational studyMedicine2025

The value of AI-assisted multiple bone age assessment methods for evaluating efficacy in idiopathic short stature: A retrospective study of traditional Chinese medicine treatment for girls in China.

Wei Wang, Risheng Yu, Yue Hu, Di Le, Pingping Shen, Zhifeng Wang

Abstract readObservational Study
In one paragraph

Observational study in Medicine, 2025. 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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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Wei WangDepartment of Radiology, Ningbo Municipal Hospital of Traditional Chinese Medicine (TCM), Affiliated Hospital of Zhejiang Chinese Medical University, Ningbo, Zhejiang, China.ORCID 0009-0004-1427-9521
Risheng YuDepartment of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.ORCID 0000-0003-0554-9484
Yue HuDepartment of Radiology, Ningbo Municipal Hospital of Traditional Chinese Medicine (TCM), Affiliated Hospital of Zhejiang Chinese Medical University, Ningbo, Zhejiang, China.
Di LeDepartment of Radiology, Ningbo Municipal Hospital of Traditional Chinese Medicine (TCM), Affiliated Hospital of Zhejiang Chinese Medical University, Ningbo, Zhejiang, China.
Pingping ShenDepartment of Radiology, Ningbo Municipal Hospital of Traditional Chinese Medicine (TCM), Affiliated Hospital of Zhejiang Chinese Medical University, Ningbo, Zhejiang, China.ORCID 0009-0006-7800-3545
Zhifeng WangDepartment of Radiology, Ningbo Municipal Hospital of Traditional Chinese Medicine (TCM), Affiliated Hospital of Zhejiang Chinese Medical University, Ningbo, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are few studies comparing the impact of different bone age (BA) assessment methods on treatment follow-up cycles. This study aimed to analyze the value of artificial intelligence-assisted multiple BA assessment methods in evaluating the efficacy of idiopathic short stature (ISS) in traditional Chinese medicine treatment. We selected 388 cases of healthy children's BA data from November 2021 to August 2024 in a single center as the control group, and 190 cases of female pediatric patients with ISS admitted in the same period as the treatment group, which were divided into 120 cases in the effective group and 70 cases in the ineffective group according to the final therapeutic efficacy. They were divided into 3 periods of 6, 9, and 12 months according to the interval of follow-up. All the children underwent left hand X-ray examinations before treatment and after follow-up, all the X-rays were taken using artificial intelligence-assisted Greulich and Pyle atlas (G&P), Tanner Whitehouse 3 (TW3), and Tanner Whitehouse China 05 (TW C) methods for assessment. We analyzed the initial and follow-up BA assessment results and their differences and compared the relationship between the BA difference and the efficacy of each method. The results showed that the overall difference in BA follow-up was significantly higher in the treatment-effective group than in the ineffective group (P < .01). The assessment value of BA difference based on TW3 and TW C methods was better than that of the G&P method in the follow-up of the 6th, 9th and 12th months (P < .01). The TW C and TW3 methods could evaluate the efficacy of the treatment early in the 6-month follow-up, while the G&P method had a diagnostic value in the 12-month follow-up. Both TW3 and TW C methods of BA assessment can be used to evaluate the treatment effect as early as the 6-month follow-up period, and the TW C method had a higher diagnostic value of efficacy in Chinese girls with ISS compared with the TW3 and G&P methods.

Indexed as

Age Determination by SkeletonArtificial IntelligenceGrowth DisordersMedicine, Chinese TraditionalAdolescentChildChinaFemaleHumansRetrospective StudiesTreatment OutcomeAI-assisted diagnosisBA assessmentGreulich and Pyle atlasidiopathic short statureTW3Zhonghua 05 method

Identifiers

PMID41367022
PMCPMC12688846

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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.