Evidence map›Paper›PMID 25385252›Full record

SynthesisJournal of clinical laboratory analysis2016

AdipoQ T45 G and G276 T Polymorphisms and Susceptibility to Nonalcoholic Fatty Liver Disease Among Asian Populations: A Meta-Analysis and Meta-Regression.

Bai-Fang Wang, Ying Wang, Ran Ao, Jing Tong, Bing-Yuan Wang

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of clinical laboratory analysis, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Correlation of Adiponectin Gene PolymorphismsFrontiers in endocrinology · 2022
    Pooled it
  2. Correlation Between Adiponectin Gene rs1501299 Polymorphism and Nonalcoholic Fatty Liver Disease Susceptibility: A Systematic Review and Meta-Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Pooled it
  3. Article
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  5. Review
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  10. Association of Adiponectin gene polymorphisms and nonalcoholic fatty liver disease.International journal of clinical and experimental medicine · 2015
    Article
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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 at 1 institution in 1 country.

Bai-Fang WangDepartment of Elderly Gastroenterology, First Affiliated Hospital of China Medical University, Shenyang, P. R. China.
Ying WangDepartment of Elderly Gastroenterology, First Affiliated Hospital of China Medical University, Shenyang, P. R. China.
Ran AoDepartment of Elderly Gastroenterology, First Affiliated Hospital of China Medical University, Shenyang, P. R. China.
Jing TongDepartment of Elderly Gastroenterology, First Affiliated Hospital of China Medical University, Shenyang, P. R. China.
Bing-Yuan WangDepartment of Elderly Gastroenterology, First Affiliated Hospital of China Medical University, Shenyang, P. R. China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdiponectin (AdipoQ) is an adipose-derived plasma protein that plays an important role in hepatic lipoprotein-lipid metabolism. Emerging evidence have shown that two common polymorphisms (T45 G and G276 T) in the AdipoQ gene may contribute to increasing susceptibility to nonalcoholic fatty liver disease (NAFLD); however individually published studies show inconclusive results. This meta-analysis aimed to derive a more precise estimation of the association of AdipoQ T45 G (rs2241766 T>G) and G276 T (rs1501299 G>T) polymorphisms with NAFLD risk.

methodPotential relevant studies were identified covering the following databases: PubMed, Embase, Web of Science, the Cochrane Library, Chinese National Knowledge Infrastructure (CNKI), Chinese Bio-medicine Database (CBM), and Chinese Sci-tech Journals databases. Statistical analyses were calculated using the version 12.0 STATA software (Stata Corp, College Station, TX, USA). Odds ratios (ORs) and its corresponding 95% confidence interval (CI) were calculated.

resultTen case-control studies were included with a total of 2,672 subjects, of these 1,117 being NAFLD patients and 1,555 being healthy controls. Our meta-analysis results revealed that the T variant of AdipoQ rs2241766 T>G polymorphism may be associated with an increased risk of NAFLD. There was also a significant association between the G variant of AdipoQ rs1501299 G>T polymorphism and an increased risk of NAFLD. Country-stratified analysis indicated that a higher AdipoQ rs2241766 T>G polymorphism was closely related with an increased risk of NAFLD in Chinese and Indian populations (all Ps < 0.05); a similar result was observed in Chinese populations between AdipoQ rs2241766 T>G polymorphism and an increased risk of NAFLD (P < 0.05).

conclusionIn conclusion, the current meta-analysis indicates that AdipoQ rs2241766 T>G and rs1501299 G>T polymorphisms may contribute to an increasing susceptibility to NAFLD. Moreover, this meta-analysis also suggests for future larger studies with stratified case-control population, and greater focus on the gene-environment interactions regarding NAFLD susceptibility for valid studies.

Indexed as

Genetic Predisposition to DiseaseAdiponectinAllelesAsian PeopleCase-Control StudiesDatabases as TopicGenetic Association StudiesGenetic HeterogeneityHumansModels, GeneticMultivariate AnalysisNon-alcoholic Fatty Liver DiseasePolymorphism, Single NucleotideRegression AnalysisAdiponectinADIPOQ protein, humanadiponectinmeta-analysismeta-regressionnonalcoholic fatty liver diseasesingle-nucleotide polymorphism

Identifiers

PMID25385252
PMCPMC6807147
OpenAlexW2143198416

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.