Evidence map›Paper›PMID 38461804›Full record

ArticleAnnals of pediatric endocrinology & metabolism2024

Genetic evaluation using next-generation sequencing of children with short stature: a single tertiary-center experience.

Su Jin Kim, Eunyoung Joo, Jisun Park, Chang Ahn Seol, Ji-Eun Lee

Open access · diamondAbstract read
In one paragraph

Article in Annals of pediatric endocrinology & metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.9field-weighted citation impact, top 7% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Genetic Heterogeneity Underlying Familial Short Stature.Diagnostics (Basel, Switzerland) · 2025
    Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Su Jin KimDepartment of Pediatrics, Inha University Hospital, Inha University College of Medicine, Incheon, Korea.
Eunyoung JooDepartment of Pediatrics, Inha University Hospital, Inha University College of Medicine, Incheon, Korea.
Jisun ParkDepartment of Pediatrics, Inha University Hospital, Inha University College of Medicine, Incheon, Korea.
Chang Ahn SeolGC Genome, Yongin, Korea.
Ji-Eun LeeDepartment of Pediatrics, Inha University Hospital, Inha University College of Medicine, Incheon, Korea.
Inha University Hospital · KRGenome and Company (South Korea) · KR

Funding

Inha UniversityInha University Hospital
6 · The paper itself

Abstract

purposeWe used next-generation sequencing (NGS) to investigate the genetic causes of suspected genetic short stature in 37 patients, and we describe their phenotypes and various genetic spectra.

methodsWe reviewed the medical records of 50 patients who underwent genetic testing using NGS for suspected genetic short stature from June 2019 to December 2022. Patients with short stature caused by nongenetic factors or common chromosomal abnormalities were excluded. Thirty-seven patients from 35 families were enrolled in this study. We administered one of three genetic tests (2 targeted panel tests or whole exome sequencing) to patients according to their phenotypes.

resultsClinical and molecular diagnoses were confirmed in 15 of the 37 patients, for an overall diagnostic yield of 40.5%. Fifteen pathogenic/likely pathogenic variants were identified in 13 genes (ACAN, ANKRD11, ARID1B, CEP152, COL10A1, COL1A2, EXT1, FGFR3, NIPBL, NRAS, PTPN11, SHOX, SLC16A2). The diagnostic rate was highest in patients who were small for their gestational age (7 of 11, 63.6%).

conclusionGenetic evaluation using NGS can be helpful in patients with suspected genetic short stature who have clinical and genetic heterogeneity. Further studies are needed to develop patient selection algorithms and panels containing growth-related genes.

Indexed as

DwarfismGrowth hormoneNext-generation sequencing

Identifiers

PMID38461804
PMCPMC10925784
OpenAlexW4392180594

What OpenQuestion holds

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LicenceCC BY-NC
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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.