Evidence map›Paper›PMID 32885367›Full record

ArticleHepatology international2020

Hepatitis B virus infection and diabetes mellitus: the Kailuan prospective cohort study in China.

Shaoyuan Lei, Shuohua Chen, Xinyu Zhao, Yanmin Zhang, Kailiang Cheng, Xiaohui Zhang, Zhenyu Wang, Yuanyuan Sun, Shouling Wu, Li Wang

Abstract read
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In one paragraph

Article in Hepatology international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Shaoyuan LeiDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China.
Shuohua ChenHealth Care Center, Kailuan Group, Tangshan, 063000, China.
Xinyu ZhaoDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China.
Yanmin ZhangGastroenterology Department, Kailuan General Hospital, Tangshan, 063001, China.
Kailiang ChengDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China.
Xiaohui ZhangPhysical Examination Center, Linxi Hospital of Kailuan General Hospital, Tangshan, 063001, China.
Zhenyu WangDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China.
Yuanyuan SunDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China.
Shouling WuCardiology Department, Kailuan General Hospital, Tangshan, 063000, China. drwusl@163.com.
Li WangDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China. liwang@ibms.pumc.edu.cn.ORCID http://orcid.org/0000-0002-5595-2741
Chinese Academy of Medical Sciences & Peking Union Medical College · CNKailuan General Hospital · CN

Funding

CAMS Innovation Fund for Medical Sciences (CIFMS) 2016-I2M-3-001Special Fund of Chinese Central Government for Basic Scientific Research Operations in Commonweal Research Institutes 2017PT63001The National Infectious Disease Major Projects in China 2018ZX10715005
6 · The paper itself

Abstract

BACKGROUND AND

aimsThe effect of hepatitis B virus (HBV) infection on diabetes has remained unclear. We thus conducted a prospective cohort study to investigate the association between different HBV infection status and new-onset diabetes in a Chinese population.

methodsWe enrolled 55,520 participants with HBV serological markers and diabetes free in 2010 in Kailuan cohort. Cox regression models were used to analyze the relationship between different HBV infection status and incidence of diabetes after adjusting different confounders.

resultsDuring an average follow-up of 5.6 years, we identified 6008 incident patients with diabetes. Compared to the participants with hepatitis B surface antigen (HBsAg) negative/hepatitis B surface antibody (anti-HBs) negative/hepatitis B core antibody (anti-HBc) negative, those with chronic HBV infection or with HBsAg negative/anti-HBc positive had a higher risk to occur diabetes. The hazard ratios were 1.18 (95% CI 0.99-1.40, p = 0.0588) and 1.22 (95% CI 1.08-1.36, p = 0.0009), respectively. The association between chronic HBV infection, anti-HBc positive and diabetes was different between those with different levels of high density lipoprotein cholesterol, blood pressure, body mass index, and age.

conclusionThe individuals with chronic HBV infection or anti-HBc positive may have an increased risk of diabetes, and the association may be modified by the different status of metabolism related variables and age. Effective management of HBV infection may contribute to the reduction of the burden of both hepatitis B and diabetes.

Indexed as

Diabetes MellitusHepatitis B, ChronicAge FactorsBody Mass IndexChinaCholesterol, HDLCorrelation of DataFemaleHepatitis B AntibodiesHumansIncidenceMaleMetabolismMiddle AgedProspective StudiesRisk AssessmentCholesterol, HDLHepatitis B AntibodiesBlood pressureBody mass indexChineseCohortDiabetesHepatitis B core antibodyHepatitis B surface antibodyHepatitis B surface antigenHepatitis B virusHigh density lipoprotein cholesterolTriglyceride

Identifiers

PMID32885367
OpenAlexW3083655792

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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.