Evidence map›Paper›PMID 25606398›Full record

ReviewMeta gene2014

Uncoupling protein 2 gene polymorphisms in association with overweight and obesity susceptibility: A meta-analysis.

Meng Zhang, Meng Wang, Zhong-Tang Zhao

Open access · hybridAbstract readReview
In one paragraph

Review in Meta gene, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 40 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Uncoupling Protein 2 and Peroxisome Proliferator-Activated ReceptorInternational journal of endocrinology · 2018
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. 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 at 1 institution in 1 country.

Meng ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Shandong University, 44 Wenhua Xi Road, Ji'nan, Shandong 250012, China.
Meng WangDepartment of Epidemiology and Health Statistics, School of Public Health, Shandong University, 44 Wenhua Xi Road, Ji'nan, Shandong 250012, China.
Zhong-Tang ZhaoDepartment of Epidemiology and Health Statistics, School of Public Health, Shandong University, 44 Wenhua Xi Road, Ji'nan, Shandong 250012, China.
Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A meta-analysis was performed to evaluate the associations of uncoupling protein 2 (UCP2) gene polymorphisms (Ala55Val, 45-bp insertion/deletion, and -866G/A) with overweight and obesity. A total of 42 studies were included in our analysis. Pooled effect estimates and 95% confidential intervals of each polymorphism were calculated under different inherited models. Fixed or random effect model was selected based on the between-study heterogeneity evaluated with I(2) . Source of heterogeneity was explored by subgroup analysis and meta-regression analysis. Potential publication bias was assessed using funnel plot and Peters test. After excluding studies that deviated from the Hardy-Weinberg equilibrium, T allele of Ala55Val polymorphism was associated with an increased risk of overweight and obesity under recessive model in the overall (OR = 1.24, 95%CI = 1.06-1.45) and Asian (OR = 1.28, 95%CI = 1.06-1.55) populations; and A allele of -866G/A polymorphism had a protective effect on overweight and obesity, especially for European populations (dominant model: OR = 0.88, 95%CI = 0.81-0.96, co-dominant 1 model: OR = 0.89, 95%CI = 0.81-0.98, co-dominant 2 model: OR = 0.85, 95%CI = 0.74-0.94, additive model: OR = 0.88, 95%CI = 0.80-0.95, and allelic model: OR = 0.91, 95%CI = 0.86-0.97). No evidence was observed in the association of 45-bp insertion/deletion polymorphism with overweight and obesity susceptibility. We failed to fully explore the between-study heterogeneity regarding the association of Ala55Val polymorphism with overweight and obesity. Further studies are required to provide more convincing evidence.

Indexed as

AdiposityCI, confidence intervalFEM, fixed effect modelHWE, Hardy–Weinberg equilibriumMeta-analysisObesityOR, odds ratioPolymorphismREM, random effect modelUCP, uncoupling proteinUncoupling protein

Identifiers

PMID25606398
PMCPMC4287797
OpenAlexW2060349617

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.