Evidence map›Paper›PMID 29410390›Full record

ArticleAging2018

Genes associated with Type 2 Diabetes and vascular complications.

Alberto Montesanto, Anna Rita Bonfigli, Paolina Crocco, Paolo Garagnani, Maria De Luca, Massimo Boemi, Elena Marasco, Chiara Pirazzini, Cristina Giuliani, Claudio Franceschi and 4 more

Open access · greenAbstract read
In one paragraph

Article in Aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 5 pooled it
2.3field-weighted citation impact, top 11% 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

37 citing papers in PubMed, 5 syntheses or guidelines pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Pooled it
  5. Pooled it
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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

14 authors at 8 institutions in 3 countries.

Alberto Montesanto *Department of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy.
Anna Rita Bonfigli *Scientific Direction, INRCA-IRCCS National Institute, Ancona, Italy.
Paolina CroccoDepartment of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy.
Paolo GaragnaniDepartment of Experimental, Diagnostic and Specialty Medicine (DIMES), Alma Mater Studiorum, University of Bologna, Bologna, Italy.
Maria De LucaDepartment of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Massimo BoemiDiabetology Unit, INRCA-IRCCS National Institute, Ancona, Italy.
Elena MarascoDepartment of Experimental, Diagnostic and Specialty Medicine (DIMES), Alma Mater Studiorum, University of Bologna, Bologna, Italy.
Chiara PirazziniDepartment of Experimental, Diagnostic and Specialty Medicine (DIMES), Alma Mater Studiorum, University of Bologna, Bologna, Italy.
Cristina GiulianiDepartment of Experimental, Diagnostic and Specialty Medicine (DIMES), Alma Mater Studiorum, University of Bologna, Bologna, Italy.
Claudio FranceschiIRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy and Department of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum-University of Bologna, Bologna, Italy.
Giuseppe PassarinoDepartment of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy.
Roberto Testa *Clinical Laboratory and Molecular Diagnostics, INRCA-IRCCS National Institute, Ancona, Italy.
Fabiola Olivieri *Department of Clinical and Molecular Sciences, DISCLIMO, Università Politecnica delle Marche, Ancona, Italy.
Giuseppina Rose *Department of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy.
University of Calabria · ITUniversity of Bologna · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITIstituto delle Scienze Neurologiche di Bologna · ITIstituto Nazionale di Riposo e Cura per Anziani · ITKarolinska Institutet · SEMarche Polytechnic University · ITUniversity of Alabama at Birmingham · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 Diabetes (T2D) is a chronic disease associated with a number of micro- and macrovascular complications that increase the morbidity and mortality of patients. The risk of diabetic complications has a strong genetic component. To this end, we sought to evaluate the association of 40 single nucleotide polymorphisms (SNPs) in 21 candidate genes with T2D and its vascular complications in 503 T2D patients and 580 healthy controls. The genes were chosen because previously reported to be associated with T2D complications and/or with the aging process. We replicated the association of T2D risk with I

Indexed as

AgedAgingArea Under CurveCase-Control StudiesDiabetes Mellitus, Type 2Diabetic AngiopathiesFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedPolymorphism, Single NucleotideRNA-Binding ProteinsTelomeraseIGF2BP2 protein, humanRNA-Binding ProteinsTelomeraseTERT protein, humanagingdiabetes complicationsgenetic profileSNPType 2 Diabetes

Identifiers

PMID29410390
PMCPMC5842840
OpenAlexW2792379748

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.