Evidence map›Paper›PMID 31673528›Full record

ArticleAdvanced biomedical research2019

Genetic Study of Hepatocyte Nuclear Factor 1 Alpha Variants in Development of Early-Onset Diabetes Type 2 and Maturity-Onset Diabetes of the Young 3 in Iran.

Aliasgar Mohammadi, Ameneh Eskandari, Akram Sarmadi, Mehrali Rahimi, Bijan Iraj, Mahin Hashemipour, Morteza Hashmezadeh Chaleshtori, Mohammad Amin Tabatabaiefar

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Article in Advanced biomedical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

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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

4 citing papers in PubMed, 5 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

8 authors at 4 institutions in 1 country.

Aliasgar MohammadiDepartment of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Ameneh EskandariDepartment of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Akram SarmadiCellular And Molecular Research Center, Institute of Basic Health Sciences, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Mehrali RahimiDepartment of Endocrinology, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Bijan IrajIsfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Mahin HashemipourDepartment of Endocrinology, Isfahan University of Medical Sciences, Isfahan, Iran.
Morteza Hashmezadeh ChaleshtoriCellular And Molecular Research Center, Institute of Basic Health Sciences, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Mohammad Amin TabatabaiefarDepartment of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Isfahan University of Medical Sciences · IRShahrekord University of Medical Sciences · IRImam Hossein Hospital · IRKermanshah University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaturity-onset diabetes of the young (MODY) is a clinically and genetically heterogeneous group of diabetes characterized by noninsulin-dependent, autosomal-dominant disorder with strong familial history, early age of onset, and pancreatic beta-cell dysfunction. Mutations in at least 14 different genes are responsible for various MODY subtypes. Heterozygous mutations in the hepatocyte nuclear factor 1 alpha ( MATERIALS AND

methodsPolymerase chain reaction and Sanger sequencing were performed. All the ten exons of the

resultsMODY3 was confirmed in two large families by detecting a mutation (p.G253E) in coding regions of

conclusionIt seems that

Indexed as

Genehepatocyte nuclear factor 1 alphaIranmaturity-onset diabetes of the young 3mutation

Identifiers

PMID31673528
PMCPMC6777141
OpenAlexW2976114353

What OpenQuestion holds

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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.