Evidence map›Paper›PMID 29787589›Full record

ArticlePloS one2018

High seroprevalence of hepatitis E virus in the ethnic minority populations in Yunnan, China.

Yue Feng, Yue-Mei Feng, Songmei Wang, Fang Xu, Xuehui Zhang, Chunyue Zhang, Yuanyuan Jia, Wanru Yang, Xueshan Xia, Jianzhong Yin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 37% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Prevalence and risk factors for hepatitis E virus infection in blood donors: a nationwide survey in Italy, 2017 to 2019.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2022
    Article
  8. 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

10 authors at 2 institutions in 1 country.

Yue FengFaculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, Yunnan, China.ORCID 0000-0002-2718-0836
Yue-Mei FengResearch Institutes of Nutrition and Food Science, Kunming Medical University, Kunming, Yunnan, China.
Songmei WangResearch Institutes of Nutrition and Food Science, Kunming Medical University, Kunming, Yunnan, China.
Fang XuResearch Institutes of Nutrition and Food Science, Kunming Medical University, Kunming, Yunnan, China.
Xuehui ZhangResearch Institutes of Nutrition and Food Science, Kunming Medical University, Kunming, Yunnan, China.
Chunyue ZhangFaculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, Yunnan, China.
Yuanyuan JiaFaculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, Yunnan, China.
Wanru YangFaculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, Yunnan, China.
Xueshan XiaFaculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, Yunnan, China.
Jianzhong YinResearch Institutes of Nutrition and Food Science, Kunming Medical University, Kunming, Yunnan, China.
Kunming University of Science and Technology · CNKunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis E virus (HEV) infection is relatively high in the southern regions of China. Yunnan, located in southwestern China, has the highest number of ethnic groups. However, HEV infection in the ethnic population is largely unknown. Therefore, we aimed to investigate the seropositive rate, risk factor, and clinical impact of HEV infection in the ethnic groups of Yunnan. We recruited 1912 individuals from four minority groups in three prefectures of Yunnan province. Epidemiological records on potential risk factors for exposure to HEV and blood biochemical index were analyzed. All the serum samples were tested for anti-HEV IgM/IgG by enzyme-linked immunosorbent assay, and the IgM-positive samples were subjected to nested reverse transcription-PCR to detect HEV RNA. Overall, 1273 individuals (66.58%) were positive for anti-HEV IgG, 16 (0.84%) for anti-HEV IgM, and 64 (3.35%) for anti-HEV IgG and IgM both; none of them had detectable HEV RNA. Multivariate analysis revealed a strong statistical association between ethnic origin and HEV IgG seroprevalence. Anti-HEV IgG reactivity in the Hani ethnic (82.3%; 401/487) population was higher than that in the Naxi (71.9%, 340/473), Bulang (65.1%; 302/464), and Wa (60.2%; 294/488) ethnic populations (p < 0.0001). Older age and male sex were independently associated with the risk of past HEV infection. Moreover, anti-HEV IgG-positive individuals showed significantly higher levels of total and direct bilirubin and alanine amino transferase but significantly lower levels of globulin and low-density lipoprotein, than the respective levels in anti-HEV IgG-negative individuals. Thus, the seroprevalence of HEV infection is high in the ethnic populations of Yunnan, China. It is therefore necessary to increase the surveillance of specific risk groups and raise awareness about the possible infectious diseases to help limit the HEV transmission here.

Indexed as

AdolescentAdultAgedAged, 80 and overChinaEthnicityFemaleHepatitis AntibodiesHepatitis EHepatitis E virusHumansImmunoglobulin GImmunoglobulin MMaleMiddle AgedMinority GroupsHepatitis AntibodiesImmunoglobulin GImmunoglobulin M

Identifiers

PMID29787589
PMCPMC5963781
OpenAlexW2804029486

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.