Evidence map›Paper›PMID 29435151›Full record

ArticleOncotarget2018

Arsenic exposure assists ccm3 genetic polymorphism in elevating blood pressure.

Yanfang Gao, Zhiqiang Zhao, Linqing Yang, Xinxia Liu, Xiumei Xing, Huimin Zhang, Jianpei Yun, Xiaoyan Ou, Xiaolin Su, Yao Lu and 6 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 31% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. 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

16 authors at 2 institutions in 1 country.

Yanfang Gao *Guangzhou Key Laboratory of Environmental Pollution and Risk Assessment, Sun Yat-sen University School of Public Health, Guangzhou, Guangdong 510080, China.
Zhiqiang Zhao *Guangzhou Key Laboratory of Environmental Pollution and Risk Assessment, Sun Yat-sen University School of Public Health, Guangzhou, Guangdong 510080, China.
Linqing Yang *Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong 518055, China.
Xinxia LiuZhongshan Center for Disease Control and Prevention, Zhongshan, Guangdong 528400, China.
Xiumei XingGuangzhou Key Laboratory of Environmental Pollution and Risk Assessment, Sun Yat-sen University School of Public Health, Guangzhou, Guangdong 510080, China.
Huimin ZhangShenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong 518055, China.
Jianpei YunShenzhen Prevention and Treatment Center for Occupational Diseases, Shenzhen, Guangdong 518020, China.
Xiaoyan OuGuangzhou Key Laboratory of Environmental Pollution and Risk Assessment, Sun Yat-sen University School of Public Health, Guangzhou, Guangdong 510080, China.
Xiaolin SuGuangzhou Key Laboratory of Environmental Pollution and Risk Assessment, Sun Yat-sen University School of Public Health, Guangzhou, Guangdong 510080, China.
Yao LuGuangzhou Key Laboratory of Environmental Pollution and Risk Assessment, Sun Yat-sen University School of Public Health, Guangzhou, Guangdong 510080, China.
Yi SunGuangzhou Key Laboratory of Environmental Pollution and Risk Assessment, Sun Yat-sen University School of Public Health, Guangzhou, Guangdong 510080, China.
Yarui YangGuangzhou Key Laboratory of Environmental Pollution and Risk Assessment, Sun Yat-sen University School of Public Health, Guangzhou, Guangdong 510080, China.
Jun JiangGuangzhou Key Laboratory of Environmental Pollution and Risk Assessment, Sun Yat-sen University School of Public Health, Guangzhou, Guangdong 510080, China.
Dong CuiGuangzhou Key Laboratory of Environmental Pollution and Risk Assessment, Sun Yat-sen University School of Public Health, Guangzhou, Guangdong 510080, China.
Zhixiong ZhuangShenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong 518055, China.
Yun HeGuangzhou Key Laboratory of Environmental Pollution and Risk Assessment, Sun Yat-sen University School of Public Health, Guangzhou, Guangdong 510080, China.
Sun Yat-sen University · CNShenzhen Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiologic study has suggested that arsenic exposure is positively related to increased blood pressure. However, the underlying mechanism concerning interaction between genetic polymorphisms and arsenic exposure remains unclear. In present study, within 395 Chinese, the effects of interaction between arsenic exposure and CCM3 gene polymorphisms on elevation of blood pressure were probed by multiple Logistic regression models after adjusting for confounding factors. Firstly, we found that serum arsenic was positively associated with blood pressure, cholesterol, glucose and C-reactive protein. Then, adjusted for confounding factors of age, gender, smoking, alcohol consumption, BMI and degree of education, arsenic exposure incurred the hazard of increased systolic pressure and diastolic pressure, with odds ratios (

Indexed as

arsemic exposureblood presssureCCM3genetic polymorphism

Identifiers

PMID29435151
PMCPMC5797022
OpenAlexW2781150973

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.