Evidence map›Paper›PMID 27296394›Full record

SynthesisJournal of the renin-angiotensin-aldosterone system : JRAAS

No association of adiponectin +45 T/G polymorphism with the risk of gestational diabetes mellitus: Evidence from a meta-analysis.

Fang Xu, Hua Zhang, Hongbo Qi

Abstract readMeta-Analysis
In one paragraph

Synthesis in Journal of the renin-angiotensin-aldosterone system : JRAAS. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

3 authors.

Fang XuDepartment of Emergency, The First Affiliated Hospital of Chongqing Medical University, China.
Hua ZhangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University, China.
Hongbo QiDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University, China qihongbuedu@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAdiponectin (ADIPOQ), involved in regulating glucose levels and fatty acid oxidation, plays key roles in metabolic derangements such as gestational diabetes mellitus (GDM). Previously, several studies have been conducted to assess the association between ADIPOQ +45 T/G polymorphism and risk of GDM. The results, however, are inconclusive. We aimed to evaluate the effect of the polymorphism on the risk of GDM using a meta-analysis. MATERIALS AND

methodsAfter databases searching, eight records were identified. Pooled odds ratios (ORs) with their corresponding 95% confidence intervals (CIs) were used to evaluate the association between ADIPOQ +45 T/G polymorphism and risk of GDM.

resultsNo significant association was observed between the ADIPOQ +45 T/G polymorphism and the risk of GDM (heterozygote comparison: OR = 1.15, 95% CI, 0.70-1.89; homozygote comparison: OR = 1.21, 95% CI, 0.48-3.03; dominant model: OR = 0.86, 95% CI, 0.50-1.48, recessive model: OR = 1.21, 95% CI, 0.62-2.33, and allele comparison: OR = 1.17, 95% CI, 0.79-1.76, respectively). Apparent heterogeneity was detected. However, no evidence of publication bias was found.

conclusionsThis meta-analysis provides evidence that the ADIPOQ +45 T/G polymorphism was not related to the risk of GDM. Further multicenter, prospective studies with larger sample size would be valuable to confirm the result.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseAdiponectinDiabetes, GestationalFemaleGenetic HeterogeneityHumansPolymorphism, Single NucleotidePregnancyPublication BiasRisk FactorsAdiponectinADIPOQ protein, humanadiponectinGestational diabetes mellitusmeta-analysispolymorphismsusceptibility

Identifiers

PMID27296394
PMCPMC5843878

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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.