Evidence map›Paper›PMID 40862376›Full record

ArticleEndocrine connections2025

Optimising diagnosis in children with short stature: an integrated clinical and NGS approach.

Laura Guazzarotti, Chiara Mozzato, Silvia Zoletto, Francesca Boaretto, Chiara Rigon, Matteo Cassina

Abstract read
In one paragraph

Article in Endocrine connections, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Laura GuazzarottiPaediatric Endocrinology Unit, Department of Women's and Children's Health, University Hospital of Padova, Padova, Italy.ORCID https://orcid.org/0000-0002-5648-0109
Chiara MozzatoDepartment of Women's and Children's Health, University of Padova, Padova, Italy.
Silvia ZolettoPaediatric Endocrinology Unit, Department of Women's and Children's Health, University Hospital of Padova, Padova, Italy.
Francesca BoarettoClinical Genetics unit, Department of Integrated Diagnostic Services, University Hospital of Padova, Padova, Italy.
Chiara RigonClinical Genetics unit, Department of Women's and Children's Health, University of Padova, Padova, Italy.
Matteo CassinaClinical Genetics unit, Department of Women's and Children's Health, University of Padova, Padova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Short stature (SS) is one of the most frequent reasons for referral to paediatric endocrinologists. Linear growth is a multifactorial process, with genetic variation representing the principal determinant of height differences. Between 2018 and 2022, 102 children referred to our clinic for growth failure were identified as having SS of unknown aetiology. The cohort comprised 57 children with idiopathic GH deficiency (GHD-SS) and 45 with idiopathic short stature (ISS). Children born small for gestational age and those with known genetic conditions were excluded. All patients underwent a single next-generation sequencing (NGS) analysis using a custom-designed targeted gene panel for SS. When variants were detected, segregation analysis was performed through parental testing. The overall diagnostic yield of NGS was 14.9%, with variants considered causative of the SS phenotype detected in 14.3% of GHD-SS patients and 15.6% of ISS patients. Detection rates were comparable between isolated GHD and combined pituitary hormone deficiency. Among ISS patients, a genetic diagnosis was achieved in 23.8% of familial cases and in 8.7% of sporadic cases. Variants of uncertain significance were identified in approximately half of the cohort. In conclusion, a first-line targeted NGS approach, applied in routine clinical practice to a carefully selected cohort of children with SS of unknown aetiology, demonstrated a competitive diagnostic yield. Accurate phenotypic assessment remains critical to improving the diagnostic performance of molecular testing and refining the aetiological evaluation of SS. Moreover, identification of the underlying genetic cause provides valuable insights for predicting clinical evolution and guiding therapeutic strategies.

Indexed as

genetic testingGH deficiencyISSshort stature

Identifiers

PMID40862376
PMCPMC12424039

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