Evidence map›Paper›PMID 32531870›Full record

ArticleJournal of diabetes investigation2021

Clinical and genetic analysis in a Chinese cohort of children and adolescents with diabetes/persistent hyperglycemia.

Yu Ding, Niu Li, Dan Lou, Qianwen Zhang, Guoying Chang, Juan Li, Xin Li, Qun Li, Xiaodong Huang, Jian Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
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  6. Importance ofKidney international reports · 2024
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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

12 authors at 2 institutions in 1 country.

Yu DingDepartment of Endocrinology and Metabolism, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0002-0833-924X
Niu LiDepartment of Medical Genetics and Molecular Diagnostic Laboratory, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Dan LouDepartment of Pediatrics, the First Affiliated Hospital of Henan University of Science and Technology, Henan University of Science and Technology, Luoyang, China.
Qianwen ZhangDepartment of Endocrinology and Metabolism, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Guoying ChangDepartment of Endocrinology and Metabolism, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Juan LiDepartment of Endocrinology and Metabolism, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Xin LiDepartment of Endocrinology and Metabolism, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Qun LiDepartment of Endocrinology and Metabolism, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Xiaodong HuangDepartment of Endocrinology and Metabolism, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Jian WangDepartment of Medical Genetics and Molecular Diagnostic Laboratory, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Fan JiangDepartment of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Xiumin WangDepartment of Endocrinology and Metabolism, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Shanghai Children's Medical Center · CNFirst Affiliated Hospital of Henan University of Science and Technology · CN

Funding

Cross Research Fund for Medical Engineering of Shanghai Jiao Tong University YG2016QN39National Natural Science Foundation of China 81370930National Natural Science Foundation of China 8190072National Science and Technology Commission 2016YFC1305203Shanghai Children's Medical Center Research Project PEGRF201506011
6 · The paper itself

Abstract

AIMS/

introductionTo investigate the genetic etiology and evaluate the diagnostic application of next-generation sequencing for diabetes/persistent hyperglycemia in children and adolescents. MATERIALS AND

methodsPatients with diabetes/persistent hyperglycemia, presenting with at least one other clinical manifestation (other than diabetes) or with a family history of diabetes, were recruited. The clinical and laboratory characteristics of the patients were recorded. Next-generation sequencing was carried out, and candidate variants were verified by Sanger sequencing. Variant pathogenicity was further evaluated according to the American College of Medical Genetics and Genomics guidelines.

resultsThis study included 101 potential probands, 36 of whom were identified as positive by genetic testing. A further 51.2 and 20.9% of variants were determined to be pathogenic or likely pathogenic, respectively. Variants associated with the disease were primarily identified in 21 genes and three regions of copy number variants. Among the 39 variants in 21 genes, 61.5% (24/39) were novel. The genetic diagnosis of 23 patients was confirmed based on genetic evidence and associated clinical manifestations. We reported GCK variants (21.7%, 5/23) as the most common etiology in our cohort. Different clinical manifestations were observed in one family with WFS1 variants.

conclusionsOur findings support the use of next-generation sequencing as a standard method in patients with diabetes/persistent hyperglycemia and provide insights into the etiologies of these conditions.

Indexed as

MutationAdolescentAsian PeopleBiomarkersBlood GlucoseChildChild, PreschoolChinaDiabetes Mellitus, Type 2FemaleFollow-Up StudiesGenetic TestingGlycated HemoglobinHigh-Throughput Nucleotide SequencingHumansHyperglycemiaBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanDiabetes mellitusGenetic etiologyNext-generation sequencing

Identifiers

PMID32531870
PMCPMC7779271
OpenAlexW3035731319

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.