Evidence map›Paper›PMID 27766138›Full record

ArticleInternational journal of molecular epidemiology and genetics2016

Association between vascular endothelial growth factor +936C/T polymorphism and breast cancer risk: a meta-analysis of 18 case-control studies.

Danhui Huang, Jianhua Wu, Zhenya Sun, Senlin Huang, Yuzhao Zhang, Lingling Wang, Tao Zeng

Abstract read
In one paragraph

Article in International journal of molecular epidemiology and genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 35% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Danhui HuangFirst School of Clinical Medicine, Southern Medical University 1838 North Guangzhou Avenue, Guangzhou 510515, P. R. China.
Jianhua WuFirst School of Clinical Medicine, Southern Medical University 1838 North Guangzhou Avenue, Guangzhou 510515, P. R. China.
Zhenya SunDepartment of Laboratory Medicine, Central Hospital of Longhua New District Shenzhen 518110, P. R. China.
Senlin HuangFirst School of Clinical Medicine, Southern Medical University 1838 North Guangzhou Avenue, Guangzhou 510515, P. R. China.
Yuzhao ZhangLaboratory Medicine Center, Nanfang Hospital, Southern Medical University Guangzhou, P. R. China.
Lingling WangFirst School of Clinical Medicine, Southern Medical University 1838 North Guangzhou Avenue, Guangzhou 510515, P. R. China.
Tao ZengLaboratory Medicine Center, Nanfang Hospital, Southern Medical University Guangzhou, P. R. China.
Southern Medical University · CNLonggang Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Important in angiogenesis, vascular endothelial growth factor (VEGF) acts as a biomarker in the growth of and prognosis for breast cancer. Evidence suggests that single nucleotide polymorphisms of VEGF such as +936C/T (rs3025039) effects VEGF levels; however, current studies on the association between +936C/T and breast cancer risk are inconsistent. This meta-analysis was conducted to reach a more precise conclusion about this association. PubMed was searched for case-control studies on the association between +936C/T levels and breast cancer risk. The quality of each study was scoring in term of some important criteria. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were used to assess the strength of this association. Subgroup analysis stratified by ethnicity and quality score was also conducted. Eighteen studies with 10,694 cases and 11,199 controls in accord with the selection criteria were included in our meta-analysis. When all eligible studies were pooled, our meta-analysis showed that there was no significant association between +936C/T and breast cancer risk in the all ethnic group; however, in the subgroup analysis, we found that +936C/T was associated with reduced breast cancer risk in the Asian population. When stratified by the quality score, no significant association was found between +936C/T and breast cancer risk either in studies scored <8 or studies scored >7. Our findings suggested that +936C/T is not associated with breast cancer risk but may reduce the risk in the Asian population.

Indexed as

breast cancer riskmeta-analysisVEGF +936C/T polymorphism

Identifiers

PMID27766138
PMCPMC5069275
OpenAlexW2534925673

What OpenQuestion holds

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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.