Evidence map›Paper›PMID 32149153›Full record

ArticleJournal of diabetes research2020

The Usefulness of Genotyping of Celiac Disease-Specific HLA among Children with Type 1 Diabetes in Various Clinical Situations.

Grazyna Deja, Dominika Sikora, Aleksandra Pyziak-Skupien, Karolina Klenczar, Rafał Deja, Przemysława Jarosz-Chobot

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes research, 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
1.0field-weighted citation impact, top 26% 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, 6 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

6 authors at 2 institutions in 1 country.

Grazyna DejaDepartment of Children's Diabetology, Medical University of Silesia in Katowice, Poland.ORCID 0000-0001-6779-4966
Dominika SikoraStudents' Scientific Association in Department of Children's Diabetology, Medical University of Silesia, Katowice, Poland.ORCID 0000-0002-5700-4964
Aleksandra Pyziak-SkupienDepartment of Children's Diabetology, Medical University of Silesia in Katowice, Poland.ORCID 0000-0002-7520-8506
Karolina KlenczarDepartment of Children's Diabetology, Medical University of Silesia in Katowice, Poland.
Rafał DejaDepartment of Computer Science, WSB University, Dabrowa Gornicza, Poland.ORCID 0000-0002-1006-2454
Przemysława Jarosz-ChobotDepartment of Children's Diabetology, Medical University of Silesia in Katowice, Poland.
Medical University of Silesia · PLWSB University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: The aim of the study was to determine the usefulness of HLA DQ2/DQ8 genotyping in children with T1D in various clinical situations: as a screening test at the diabetes onset, as a verification of the diagnosis in doubtful situations, and as a test estimating the risk of CD in the future. Results: The results of genetic tests confirmed the presence of DQ2/DQ8 in 94% of children with diabetes (group I) and in 100% of children with diabetes and CD (groups II and III, respectively). Comparative analysis of the HLA DQ2/DQ8 distribution did not show any differences. Allele DRB1 Conclusions: Genotyping HLA DQ2/DQ8 as a negative screening has limited use in assessing the risk of CD at the diabetes onset and does not allow to verify the diagnosis of CD in doubtful situations. The presence of the DRB1

Indexed as

AdolescentAllelesCeliac DiseaseChildChild, PreschoolDiabetes Mellitus, Type 1FemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeHLA-DQ AntigensHumansMaleHLA-DQ2 antigenHLA-DQ8 antigenHLA-DQ Antigens

Identifiers

PMID32149153
PMCPMC7057025
OpenAlexW3008014074

What OpenQuestion holds

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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.