Evidence map›Paper›PMID 29133317›Full record

ArticleBMJ open2017

Association between visceral obesity and hepatitis C infection stratified by gender: a cross-sectional study in Taiwan.

Yu-Chung Tsao, Jau-Yuan Chen, Wei-Chung Yeh, Yun-Shing Peng, Wen-Cheng Li

Abstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

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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.

Yu-Chung TsaoDepartment of Occupational Medicine, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan.
Jau-Yuan ChenDepartment of Family Medicine, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan.
Wei-Chung YehDepartment of Family Medicine, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan.
Yun-Shing PengCollege of Medicine, Chang Gung University, Taoyuan, Taiwan.
Wen-Cheng LiDepartment of Emergency Medicine, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe global prevalence of hepatitis C virus (HCV) is approximately 2%-3%, and the prevalence of the positive anti-HCV antibody has been increasing. Several studies have evaluated regional adipose tissue distribution and metabolism over the past decades. However, no study has focused on the gender difference in visceral obesity among patients with HCV infection.

designRetrospective cross-sectional study.

settingWe reviewed the medical records of patients who visited a hospital in Southern Taiwan for health check-up from 2013 to 2015.

participantsA total of 1267 medical records were collected. We compared patient characteristics, variables related to metabolic risk and body composition measured using bioelectrical impedance analysis between the groups. Regression models were built to adjust for possible confounding factors.

resultsThe prevalence rate of the positive anti-HCV antibody was 8.8% in the study population, 8.5% in men and 9.2% in women. Men with HCV infection tended to be older and have lower total cholesterol levels and higher alanine aminotransferase (ALT) levels (p<0.001). Women with HCV infection tended to be older and have higher levels of fasting glucose and ALT (p<0.001). After adjusting for confounding factors, body fat percentage, fat-free mass/body weight (BW) and muscle mass/BW were found to be the independent determinants of visceral obesity in patients without HCV infection (p<0.001). However, the trend was not such obvious in patients with HCV infection, though still statistically significant (p<0.05). Furthermore, the trend was less significant in men with HCV infection.

conclusionsThe findings suggested that HCV modulates host lipid metabolism and distribution to some extent, and a gender difference was also noted.

Indexed as

AdultAgedAlanine TransaminaseBody Fat DistributionCholesterolCross-Sectional StudiesFemaleHepacivirusHepatitis CHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisObesity, AbdominalPrevalenceAlanine TransaminaseCholesterolgenderHepatitis C viruslipid metabolismvisceral obesity

Identifiers

PMID29133317
PMCPMC5695385

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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.