Evidence map›Paper›PMID 25561226›Full record

SynthesisInternational journal of molecular sciences2014

Association between ADIPOQ +45T>G polymorphism and type 2 diabetes: a systematic review and meta-analysis.

Yaofu Fan, Kun Wang, Shuhang Xu, Guofang Chen, Hongjie Di, Meng Cao, Chao Liu

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International journal of molecular sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Polymorphism in Adiponectin and Adiponectin Receptor Genes in Diabetes Mellitus Pathogenesis.Pathophysiology : the official journal of the International Society for Pathophysiology · 2022
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Gene-Diet Interactions in Type 2 Diabetes: The Chicken and Egg Debate.International journal of molecular sciences · 2017
    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.

Yaofu FanEndocrine and Diabetes Center, Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing 210028, China. fanyaofu2010@163.com.
Kun WangEndocrine and Diabetes Center, Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing 210028, China. wangkun112011@163.com.
Shuhang XuEndocrine and Diabetes Center, Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing 210028, China. xushuhang112011@163.com.
Guofang ChenEndocrine and Diabetes Center, Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing 210028, China. chenguofang112011@163.com.
Hongjie DiEndocrine and Diabetes Center, Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing 210028, China. dihongjie112011@163.com.
Meng CaoEndocrine and Diabetes Center, Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing 210028, China. caomeng112011@163.com.
Chao LiuEndocrine and Diabetes Center, Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing 210028, China. liuchao@nfmcn.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, a number of studies have reported the association between the single nucleotide polymorphisms (SNPs) +45 T>G polymorphism in the adiponectin (ADIPOQ) gene and type 2 diabetes mellitus (T2DM) risk, though the results are inconsistent. In order to obtain a more precise estimation of the relationship, a meta-analysis was performed. In this current study, the Medline, Embase, Pubmed, ISI Web of Knowledge, Ovid, Science Citation Index Expanded Database, Wanfang Database, and China National Knowledge Infrastructure were searched for eligible studies. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to estimate the strength of association. Forty-five publications were included in the final meta-analysis with 9986 T2DM patients and 16,222 controls for ADIPOQ +45 T>G polymorphism according to our inclusion and exclusion criteria. The +45 T>G polymorphism was associated with an overall significantly increased risk of T2DM (G vs. T: OR = 1.18, 95% CI = 1.06-1.32; The dominant model: OR = 1.18, 95% CI = 1.03-1.33; The recessive model: OR = 1.47, 95% CI = 1.20-1.78; The homozygous model: OR = 1.62, 95% CI = 1.25-2.09; Except the heterozygous model: OR = 1.11, 95% CI = 0.98-1.24). Subgroup analysis revealed a significant association between the +45 T>G polymorphism and T2D in an Asian population. Thus, this meta-analysis indicates that the G allele of the ADIPOQ +45 T>G polymorphisms associated with a significantly increased risk of T2DM in the Asian population.

Indexed as

Polymorphism, Single NucleotideAdiponectinAllelesDatabases, FactualDiabetes Mellitus, Type 2GenotypeHumansOdds RatioRisk FactorsAdiponectinADIPOQ protein, human

Identifiers

PMID25561226
PMCPMC4307270

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.