Evidence map›Paper›PMID 19119252›Full record

ArticleThe Korean journal of internal medicine2008

Hepatocyte nuclear factor 1-alpha mutation in normal glucose-tolerant subjects and early-onset type 2 diabetic patients.

Dong Mee Lim, Nam Huh, Keun Yong Park

Open access · goldAbstract read
In one paragraph

Article in The Korean journal of internal medicine, 2008. 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
0.3field-weighted citation impact, top 32% 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, 9 citations in OpenAlex.

  1. Article
  2. Update on Monogenic Diabetes in Korea.Diabetes & metabolism journal · 2020
    Review
  3. Undiagnosed MODY: Time for Action.Current diabetes reports · 2015
    Review
  4. Review
  5. Review
  6. Investigating maturity onset diabetes of the young.The Clinical biochemist. Reviews · 2009
    Article
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

3 authors at 2 institutions in 1 country.

Dong Mee LimDepartment of Internal Medicine, Konyang University College of Medicine, Daejon, Korea.
Nam Huh
Keun Yong Park
Konyang University · KRSamsung (South Korea) · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsThe prevalence of diabetes in Korea is reported to be approximately 10%, but cases of maturity-onset diabetes of the young (MODY) are rare in Korea. A diagnostic technique for autosomal dominant MODY is being actively sought. In this regard, we used a DNA chip to investigate the frequency of mutations of the MODY3 gene (hepatocyte nuclear factor-1alpha) in Korean patients with early-onset type 2 diabetes.

methodsThe genomic DNA of 30 normal individuals [age, 24.9+/-8.6 years] and 25 patients with early-onset type 2 diabetes (age, 27+/-5.9 years) was extracted, and the MODY3 gene was amplified. The amplified DNA was hybridized onto a MODY3 chip, which has oligonucleotides of 15-25 bases, representing wild-type and mutant MODY3 sequences in both forward and reverse orientations, immobilized on its surface.

resultsAmong the normal subjects, there was no mutation of MODY3. Among those with early-onset type 2 diabetes, there was one case of MODY3 mutation.

conclusionsOur results indicate that MODY3 mutations are not rare in Korean early-onset type 2 diabetes patients in Korea and suggest that MODY3 mutations in patients with early-onset type 2 diabetes need to be further evaluated.

Indexed as

AdolescentAdultAge of OnsetAsian PeopleCase-Control StudiesCohort StudiesDiabetes Mellitus, Type 2FemaleHepatocyte Nuclear Factor 1-alphaHumansKoreaMaleMutationPrevalenceYoung AdultHepatocyte Nuclear Factor 1-alphaHNF1A protein, human

Identifiers

PMID19119252
PMCPMC2687678
OpenAlexW2130544738

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.