Evidence map›Paper›PMID 33375163›Full record

ArticleJournal of personalized medicine2020

Impact of Genetic Factors on the Age of Onset for Type 2 Diabetes Mellitus in Addition to the Conventional Risk Factors.

Peter Piko, Nardos Abebe Werissa, Szilvia Fiatal, Janos Sandor, Roza Adany

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 citing papers in PubMed.

  1. Trial
  2. The typology of common psychiatric disorders as depicted by genetic maps: a study based on Swedish population-based registers.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026
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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

5 authors.

Peter PikoMTA-DE Public Health Research Group, University of Debrecen, 4028 Debrecen, Hungary.ORCID 0000-0001-5539-907X
Nardos Abebe WerissaMTA-DE Public Health Research Group, University of Debrecen, 4028 Debrecen, Hungary.
Szilvia FiatalDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Janos SandorDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Roza AdanyMTA-DE Public Health Research Group, University of Debrecen, 4028 Debrecen, Hungary.

Funding

European Regional Development Fund GINOP-2.3.2-15-2016-00005Magyar Tudományos Akadémia TK2016-78Nemzeti Kutatási, Fejlesztési és Innovaciós Alap 135784
6 · The paper itself

Abstract

It is generally accepted that the early detection of type 2 diabetes mellitus (T2DM) is important to prevent the development of complications and comorbidities, as well as premature death. The onset of type 2 diabetes mellitus results from a complex interplay between genetic, environmental, and lifestyle risk factors. Our study aims to evaluate the joint effect of T2DM associated single nucleotide polymorphisms (SNPs) on the age of onset for T2DM in combination with conventional risk factors (such as sex, body mass index (BMI), and TG/HDL-C ratio) in the Hungarian population. This study includes 881 T2DM patients (Case population) and 1415 samples from the Hungarian general population (HG). Twenty-three SNPs were tested on how they are associated with the age of onset for T2DM in the Case population and 12 of them with a certified effect on the age of T2DM onset were chosen for an optimized genetic risk score (GRS) analysis. Testing the validity of the GRS model developed was carried out on the HG population. The GRS showed a significant association with the age of onset for T2DM (β = -0.454,

Indexed as

age of onset for type 2 diabetesgenetic risk scoreHungarian populationsingle nucleotide polymorphismtype 2 diabetes mellitus

Identifiers

PMID33375163
PMCPMC7822179

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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.