Evidence map›Paper›PMID 40949923›Full record

ArticleTranslational pediatrics2025

Noonan syndrome with

Ji Peng, Ting Huang, Qiulan Wang, Bijing Liu, Luzhen Qin, Yuanyuan Yao

Abstract readCase Reports
In one paragraph

Article in Translational pediatrics, 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.

Ji PengDepartment of Children's Health Care, Liuzhou Maternal and Child Healthcare Hospital, Liuzhou, China.
Ting HuangDepartment of Children's Health Care, Liuzhou Maternal and Child Healthcare Hospital, Liuzhou, China.
Qiulan WangDepartment of Children's Health Care, Liuzhou Maternal and Child Healthcare Hospital, Liuzhou, China.
Bijing LiuDepartment of Children's Health Care, Liuzhou Maternal and Child Healthcare Hospital, Liuzhou, China.
Luzhen QinDepartment of Children's Health Care, Liuzhou Maternal and Child Healthcare Hospital, Liuzhou, China.
Yuanyuan YaoDepartment of Children's Health Care, Liuzhou Maternal and Child Healthcare Hospital, Liuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Noonan syndrome (NS) is an autosomal dominant genetic disorder characterized by significant clinical heterogeneity, including distinctive facial features, short stature, developmental delay, congenital heart defects, and thoracic deformities. In some patients, especially in the early stages, the clinical manifestations are atypical and may solely include growth retardation or short stature, leading to misdiagnosis as idiopathic short stature or growth hormone (GH) deficiency and thereby delaying timely intervention. Case Description: In this report, a female child is described who exhibited slow weight and height gain since birth. At 18 months, physical examination revealed that her height was below the 3rd percentile, with bone age delayed by 3 months. No typical NS facial features or congenital heart defects were observed. GH stimulation testing indicated partial GH deficiency, and the insulin-like growth factor 1 (IGF-1) level was below normal; thus, a preliminary diagnosis of short stature due to GH insufficiency was made, and nutritional intervention was recommended. However, follow-up revealed a persistent slow growth velocity and progressive bone age delay. At 6 years and 1 month of age, whole-exome sequencing identified a heterozygous c.923A>G (p.Asn308Ser) variant in the Conclusions: This case highlights the importance of early genetic testing in patients with persistent growth retardation unresponsive to standard interventions. rhGH therapy has been shown to be safe and effective in patients with NS and short stature, significantly promoting height gain and bone age development, and should be considered for broader clinical application.

Indexed as

case reportNoonan syndrome (NS)PTPN11recombinant human growth hormone (rhGH)short stature

Identifiers

PMID40949923
PMCPMC12433046

What Socratic holds

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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 Socratic graph.