Evidence map›Paper›PMID 22613561›Full record

ArticleCNS neuroscience & therapeutics2012

The uncoupling protein 2 -866G > a polymorphism is associated with the risk of ischemic stroke in Chinese type 2 diabetic patients.

Yi Chai, Bing Gu, Jin-Rong Qiu, Hong-Gang Yi, Qian Zhu, Lu Zhang, Gang Hu

Open access · bronzeAbstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The role of uncoupling proteins in diabetes mellitus.Journal of diabetes research · 2013
    Review
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

7 authors at 3 institutions in 1 country.

Yi ChaiState Key Laboratory of Pharmaceutical Biotechnology, Department of Anatomy Histology and Pharmacology, Laboratory of Neuropharmacology, School of Life Sciences, Nanjing University, Nanjing, China.
Bing Gu
Jin-Rong Qiu
Hong-Gang Yi
Qian Zhu
Lu Zhang
Gang Hu
Jiangsu Province Hospital · CNNanjing Medical University · CNNanjing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo determine genetic predispsitions for diabetic cerebral ischemia, we investigated the relationship between the -866G>A polymorphism of uncoupling protein (UCP) 2 and the risk of ischemic stroke in two cohorts of type 2 diabetic patients.

methodsA total of 844 type 2 diabetic patients with 4-year prospective study were examined using a case-control methodology. And 404 cases with ischemical stroke, 440 cases without ischemical stroke. The -866G>A polymorphism in UCP2 was genotyped by TaqMan MGB probe method.

resultsThe -866G>A SNP in UCP2 was significantly associated with diabetic ischemical stroke (odds ratio [OR]= 1.94; 95% confidence interval [CI]= 0.68 to1.31; P < 0.037). Similar results were observed for baseline cases of IS. Stratification by sex confirmed an allelic association with IS in women, whereas no association was observed in men.

conclusionsThe A allele of the -866G>A variant of UCP2 was associated with increased risk of IS in Chinese diabetic women with type 2 diabetes in a 4-year prospective study. This association was independent of other common IS risk factors.

Indexed as

AgedAsian PeopleBrain IschemiaChinaCohort StudiesDiabetes Mellitus, Type 2DNAFemaleGenotypeHumansIon ChannelsKaplan-Meier EstimateMaleMiddle AgedMitochondrial ProteinsOdds RatioDNAIon ChannelsMitochondrial ProteinsUCP2 protein, humanUncoupling Protein 2

Identifiers

PMID22613561
PMCPMC6493598
OpenAlexW1570372787

What OpenQuestion holds

Textmetadata
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.