Evidence map›Paper›PMID 28717178›Full record

ArticleScientific reports2017

Prevalence of metabolic syndrome among adults with liver function injury in rural area of Southwest China: A cross-sectional study.

Hui Zeng, Hui Lin, Wenyi Liu, Jia Wang, Lingqiao Wang, Chuanfen Zheng, Yao Tan, Yujing Huang, Lixiong He, Jiaohua Luo and 11 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. 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

21 authors at 3 institutions in 1 country.

Hui ZengDepartment of Environmental Hygiene, College of Preventive Medicine, Third Military Medical University, Chongqing, China.
Hui LinDepartment of Tropical Epidemiology, College of Preventive Medicine, Third Military Medical University, Chongqing, China.
Wenyi LiuDepartment of Environmental Hygiene, College of Preventive Medicine, Third Military Medical University, Chongqing, China.
Jia WangDepartment of Environmental Hygiene, College of Preventive Medicine, Third Military Medical University, Chongqing, China.
Lingqiao WangDepartment of Environmental Hygiene, College of Preventive Medicine, Third Military Medical University, Chongqing, China.
Chuanfen ZhengDepartment of Environmental Hygiene, College of Preventive Medicine, Third Military Medical University, Chongqing, China.
Yao TanDepartment of Environmental Hygiene, College of Preventive Medicine, Third Military Medical University, Chongqing, China.
Yujing HuangDepartment of Environmental Hygiene, College of Preventive Medicine, Third Military Medical University, Chongqing, China.
Lixiong HeDepartment of Environmental Hygiene, College of Preventive Medicine, Third Military Medical University, Chongqing, China.
Jiaohua LuoDepartment of Environmental Hygiene, College of Preventive Medicine, Third Military Medical University, Chongqing, China.
Chaowen PuThe Center for Disease Control and Prevention in Fuling District, Chongqing, China.
Renping ZhangThe Center for Disease Control and Prevention in Fuling District, Chongqing, China.
Xiaohong YangDepartment of Environmental Hygiene, College of Preventive Medicine, Third Military Medical University, Chongqing, China.
Yingqiao TianThe Center for Disease Control and Prevention in Fuling District, Chongqing, China.
Zhiqun QiuDepartment of Environmental Hygiene, College of Preventive Medicine, Third Military Medical University, Chongqing, China.
Ji-An ChenDepartment of Health Education, College of Preventive Medicine, Third Military Medical University, Chongqing, China.
Yang LuoCenter for Nanomedicine, Southwest Hospital, Third Military Medical University, Chongqing, China.
Xiaobin FengInstitute of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University, Chongqing, China.
Guosheng XiaoCollege of Life Science and Engineering, Chongqing Three Gorges University, Wanzhou, Chongqing, China.
Liping WuDepartment of Environmental Hygiene, College of Preventive Medicine, Third Military Medical University, Chongqing, China.
Weiqun ShuDepartment of Environmental Hygiene, College of Preventive Medicine, Third Military Medical University, Chongqing, China. xm0630@sina.com.ORCID 0000-0003-4762-098X
Army Medical University · CNFuling Center Hospital of Chongqing · CNChongqing Three Gorges University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abnormal liver function (ALF) plays a key role in metabolic syndrome (MetS), but only few data on the relationship between MetS and the risk factors for ALF (e.g., biotoxins) are available. We aimed to provide the prevalence of MetS and its association with the risk factors for ALF in rural area of Southwest China. A cross-sectional study within the hepatocellular carcinoma cohort was conducted, and included 5493 people with age from 30 to 85 years old. MetS was defined according to the Joint Scientific Statement. We observed that the prevalence of MetS was 31.8% (39.0% in women and 19.8% in men). Logistic regression analysis showed that significantly increased risk of MetS was found in those showing ALF (OR = 3.00, 95% CI: 2.43-3.71). Significantly decreased risk of MetS was found in those with higher HBV DNA titers (OR = 0.49, 95% CI: 0.33-0.74), and in those with higher aflatoxin B1 exposure (estimated daily intake, EDI) (OR = 0.60, 95% CI: 0.53-0.67). No significant change was found in those with higher microcystin-LR exposure (EDI). Therefore, the different risk factors for ALF might exert different effects on MetS. However, there should be an interaction effect existing that might decide the severity of MetS.

Indexed as

AdultAflatoxin B1AgedAged, 80 and overCarcinoma, HepatocellularChinaCross-Sectional StudiesDNA, ViralFemaleHepatitis BHumansLiverLiver NeoplasmsLogistic ModelsMaleMetabolic SyndromeAflatoxin B1DNA, Viral

Identifiers

PMID28717178
PMCPMC5514150
OpenAlexW2734710872

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.