Evidence map›Paper›PMID 23885198›Full record

ArticleGenetics and molecular biology2013

Association between osteoprotegerin gene polymorphisms and cardiovascular disease in type 2 diabetic patients.

Changlei Guo, Fudong Hu, Shaoli Zhang, Yakun Wang, Hengdao Liu

Abstract read
In one paragraph

Article in Genetics and molecular biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Relationships of OPG Genetic Polymorphisms with Susceptibility to Cardiovascular Disease: A Meta-Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2016
    Pooled it
  3. Trial
  4. Article
  5. Osteoprotegerin in Cardiometabolic Disorders.International journal of endocrinology · 2015
    Review
  6. Article
  7. 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

5 authors.

Changlei GuoDepartment of Internal Medicine, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan Province, P.R. China .
Fudong Hu
Shaoli Zhang
Yakun Wang
Hengdao Liu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoprotegerin (OPG) gene polymorphisms (T245G, T950C and G1181C) have been associated with osteoporosis and early predictors of cardiovascular disease. The aim of this study was to evaluate whether these polymorphisms contribute to cardiovascular disease (CVD) in type 2 diabetic patients. We performed a case-control study with 178 CVD subjects with diabetes and 312 diabetic patients without CVD to assess the impact of variants of the OPG gene on the risk of CVD. The OPG gene polymorphisms were analyzed by using the polymerase chain reaction (PCR) and restriction fragment length polymorphism (RFLP). There was no significant association between the T245G and G1181C polymorphisms and CVD in the additive genetic model (OR = 0.96, 95% CI 0.64-1.45, p = 0.79; OR = 1.06, 95% CI 0.81-1.39, p = 0.65, respectively). However, the C allele of the T950C polymorphism was independently associated with a risk of CVD in type 2 diabetic patients in this genetic model (OR = 1.38, 95% CI 1.07-1.80, p = 0.01). This study provides evidence that the C allele of the T950C polymorphism is associated with increased risk of CVD in diabetic patients. However, well-designed prospective studies with a larger sample size are needed to validate these results.

Indexed as

cardiovascular diseaseosteoprotegerinpolymorphism

Identifiers

PMID23885198
PMCPMC3715282

What OpenQuestion holds

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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.