Evidence map›Paper›PMID 32266039›Full record

ArticleExperimental and therapeutic medicine2020

Detection and analysis of glucose metabolism-related genes in childhood diabetes using targeted next-generation sequencing: In pediatric population-a hospital-based study.

Xiaoyan Wang, Fengyun Wang, Haiying Wu, Xiuli Chen, Rongrong Xie, Ting Chen, Hui Sun, Dandan Zhang, Linqi Chen

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Xiaoyan WangDepartment of Endocrinology, Genetics and Metabolism, Children's Hospital of Soochow University, Suzhou, Jiangsu 215003, P.R. China.
Fengyun WangDepartment of Endocrinology, Genetics and Metabolism, Children's Hospital of Soochow University, Suzhou, Jiangsu 215003, P.R. China.
Haiying WuDepartment of Endocrinology, Genetics and Metabolism, Children's Hospital of Soochow University, Suzhou, Jiangsu 215003, P.R. China.
Xiuli ChenDepartment of Endocrinology, Genetics and Metabolism, Children's Hospital of Soochow University, Suzhou, Jiangsu 215003, P.R. China.
Rongrong XieDepartment of Endocrinology, Genetics and Metabolism, Children's Hospital of Soochow University, Suzhou, Jiangsu 215003, P.R. China.
Ting ChenDepartment of Endocrinology, Genetics and Metabolism, Children's Hospital of Soochow University, Suzhou, Jiangsu 215003, P.R. China.
Hui SunDepartment of Endocrinology, Genetics and Metabolism, Children's Hospital of Soochow University, Suzhou, Jiangsu 215003, P.R. China.
Dandan ZhangDepartment of Endocrinology, Genetics and Metabolism, Children's Hospital of Soochow University, Suzhou, Jiangsu 215003, P.R. China.
Linqi ChenDepartment of Endocrinology, Genetics and Metabolism, Children's Hospital of Soochow University, Suzhou, Jiangsu 215003, P.R. China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to explore the genetic causes of antibody-negative diabetes and investigate its characteristics. A total of 64 patients with new-onset diabetes (>6 m, <16 y) were identified and their initial clinical characteristics were analyzed. Of which, 32 cases with autoantibody-negative diabetes (male, 16 cases; female, 16 cases) were screened for auto-antibodies, including islet cell antibody, glutamic acid decarboxylase antibody and islet antigen-2, which were negative, and fasting C-peptide was ≥0.3 ng/ml. Peripheral blood DNA was extracted from the subjects and their parents for high-throughput sequencing of glucose metabolism-related genes. The group with the pathogenic variation was used as the experimental group. The control group comprised 32 cases of type 1 diabetes (T1D). Their baseline clinical characteristics were determined and statistically analyzed. Out of the 32 antibody-negative diabetes cases, 21 had possible related mutations. There were 2

Indexed as

genematurity-onset diabetes of the youngmonogenic diabetes

Identifiers

PMID32266039
PMCPMC7132244
OpenAlexW3009572678

What Socratic holds

Textmetadata
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 Socratic graph.