Evidence map›Paper›PMID 26214053›Full record

SynthesisMedical science monitor : international medical journal of experimental and clinical research2015

Association between SLC30A8 rs13266634 Polymorphism and Type 2 Diabetes Risk: A Meta-Analysis.

Liqing Cheng, Dongmei Zhang, Lina Zhou, Jie Zhao, Bing Chen

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Medical science monitor : international medical journal of experimental and clinical research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Zinc as a Biomarker of Cardiovascular Health.Frontiers in nutrition · 2021
    Review
  11. SNPs in the 3'-untranslated region ofJournal of diabetes and metabolic disorders · 2020
    Article
  12. Review
  13. Article
  14. Genetic, Functional, and Immunological Study of ZnT8 in Diabetes.International journal of endocrinology · 2019
    Review
  15. Article
  16. Article
  17. Review
  18. Lack of Association betweenJournal of diabetes research · 2016
    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 at 1 institution in 1 country.

Liqing ChengDepartment of Endocrinology and Metabolism, Southwest Hospital, Third Military Medical University, Chongqing, China (mainland).
Dongmei ZhangDepartment of Dermatology, Southwest Hospital, Third Military Medical University, Chongqing, China (mainland).
Lina ZhouDepartment of Endocrinology and Metabolism, Southwest Hospital, Third Military Medical University, Chongqing, China (mainland).
Jie ZhaoDepartment of Endocrinology and Metabolism, Southwest Hospital, Third Military Medical University, Chongqing, China (mainland).
Bing ChenDepartment of Endocrinology and Metabolism, Southwest Hospital, Third Military Medical University, Chongqing, China (mainland).
Army Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccumulating but inconsistent data about the role of rs13266634 variant of SLC30A8 in type 2 diabetes have been reported, partly due to small sample sizes and non-identical ethnicity. MATERIAL AND

methodsWe searched PubMed and Cochrane Library to identify eligible studies and extract data of baseline characteristics, genotype count, odds ratio (OR), and 95% confidence interval (CI). Both adjusted OR with 95% CI and genotype counts were employed to assess the association. Genotype data were further pooled to provide estimates under different genetic models and the most appropriate model was determined. Sensitivity and cumulative analysis were conducted to assure the strength of results.

resultsFifty-five datasets of 39 studies (including 38 of 24 with genotype count) were included. Significant associations were found in allelic contrasts using adjusted ORs and raw genotype count, respectively, overall in Asian and European populations (overall: OR=1.147/1.157, 95% CI 1.114-1.181/1.135-1.180; Asian: OR=1.186/1.165, 95% CI 1.150-1.222/1.132-1.198; European: OR=1.100/1.151, 95% CI 1.049-1.153/1.120-1.183; All p=0.00), but not in African populations (African: OR=1.255/1.111, 95% CI 0.964-1.634/0.908-1.360, p=0.091/0.305). Further analysis with genotype count under different genetic models all showed that individuals with CC genotype had 33.0% and 16.5% higher risk of type 2 diabetes than those carrying TT and CT genotypes, respectively, under the most likely codominant model. Cumulative analysis indicated gradually improved precision of estimation after studies accumulated.

conclusionsOur results suggest that rs13266634 may be an important genetic factor of type 2 diabetes risk among Asian and European but not African populations.

Indexed as

Asian PeopleCation Transport ProteinsDiabetes Mellitus, Type 2Genetic Predisposition to DiseaseGenotypeHumansOdds RatioPolymorphism, Single NucleotideRisk FactorsWhite PeopleZinc Transporter 8Cation Transport ProteinsSLC30A8 protein, humanZinc Transporter 8

Identifiers

PMID26214053
PMCPMC4527121
OpenAlexW1941435943

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.