Evidence map›Paper›PMID 27193105›Full record

ArticlePathology oncology research : POR2016

Association between IL-6 Gene (-174 & -572 G/C) Polymorphisms and Endometrial Adenocarcinoma Risk.

Hai-Ying Wang, Jin-Jun Zhang, Xiang-Yu Zheng, Jian-Hua Liu, Yong-Wei Li

Abstract read
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In one paragraph

Article in Pathology oncology research : POR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. 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.

Hai-Ying WangDepartment of laboratory medicine, Henan Province Chinese Medicine Hospital, Zhenzhou, 450002, People's Republic of China.
Jin-Jun ZhangDepartment of laboratory medicine, Henan Province Chinese Medicine Hospital, Zhenzhou, 450002, People's Republic of China.
Xiang-Yu ZhengDepartment of laboratory medicine, Henan Province Chinese Medicine Hospital, Zhenzhou, 450002, People's Republic of China.
Jian-Hua LiuDepartment of Obstetrics and Gynecology, Shanghai Ninth People's Hospital & School of Medicine, Shanghai Jiaotong University, Shanghai, 200011, People's Republic of China. LIUJianh68@126.com.
Yong-Wei LiDepartment of laboratory medicine, Henan Province Chinese Medicine Hospital, Zhenzhou, 450002, People's Republic of China. liyw71@126.com.
Shanghai Ninth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to evaluate the association of IL-6 gene polymorphisms at positions of -174 and -572 and predisposition of endometrial adenocarcinoma (EAC) in a Chinese population. EAC patients have remarkably higher frequency of IL-6 -174 CC genotype [odds ratio (OR) =1.56, 95 % confidence interval (CI) =1.07-2.23; P = 0.03], IL-6 -572 CC genotype (OR =1.93, 95%CI =1.17-3.15; P = 0.01) and IL-6 -174 C allele (OR =1.22, 95 % CI =1.03-1.46; P = 0.04) compared with healthy controls. When stratified with FIGO stage, patients with III-IV EAC have a significantly higher frequency of IL-6 -174 CC genotype (OR =1.66, 95% CI =1.06-2.58; P = 0.02) than healthy controls. The CC genotype of IL-6 gene polymorphisms at positions of -174 and -572 may denote potential high risk of EAC.

Indexed as

AdenocarcinomaAllelesAsian PeopleCase-Control StudiesEndometrial NeoplasmsFemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansInterleukin-6Middle AgedPolymorphism, GeneticRisk FactorsIL6 protein, humanInterleukin-6Endometrial adenocarcinomaGene polymorphismInterleukin-6

Identifiers

PMID27193105
OpenAlexW2399467805

What OpenQuestion holds

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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.