Evidence map›Paper›PMID 42031837›Full record

ArticleScientific reports2026

Persistent hepatitis burden in a geographically isolated and medically underserved population: a community-based study.

Dong-Hee Ryu, Eun-Young Lee, Soo-Jung Ha, Nam-Soo Hong

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Dong-Hee RyuDepartment of Preventive Medicine, Daegu Catholic University School of Medicine, Daegu, 42472, Republic of Korea.
Eun-Young LeeDaegu-Gyeongbuk Regional Cancer Center, Kyungpook National University Medical Center, Daegu, 41404, Republic of Korea.
Soo-Jung HaUlleung Public Community Health Center, Gyeongbuk, 40217, Republic of Korea.
Nam-Soo HongDaegu-Gyeongbuk Regional Cancer Center, Kyungpook National University Medical Center, Daegu, 41404, Republic of Korea. kusmac25@knu.ac.kr.

Funding

Ministry of Health and Welfare B007040300278, B0070226000344, B0070308000464, and B0070307000502
6 · The paper itself

Abstract

Ulleung County is a geographically isolated and medically underserved region in South Korea with a persistently high incidence of liver cancer. Using a community-based approach, this study aimed to estimate the prevalence of hepatitis B virus (HBV) and hepatitis C virus (HCV) infections and to identify associated risk factors. As part of the Ulleung Liver Cancer Prevention and Management Project, an interagency workgroup implemented community-based screening and health behavior surveys. Between 2019 and 2022, a total of 1,792 residents aged ≥ 40 years voluntarily participated, and data from 1,684 participants were analyzed. The prevalence of hepatitis B surface antigen (HBsAg) and hepatitis C virus antibody (anti-HCV) positivity was 7.19% and 1.37%, respectively. Lower educational attainment and lifetime smoking were significantly associated with HBsAg positivity, whereas cupping therapy performed at non-medical institutions was associated with anti-HCV positivity. HBsAg positivity was lower among individuals with tattoos. Although the high prevalence of HBV infection alone may not fully explain the elevated incidence of liver cancer in Ulleung County, it likely represents an important contributing factor. These findings highlight the value of community-based screening strategies for informing tailored hepatitis prevention efforts in geographically isolated populations.

Indexed as

Hepatitis BHepatitis CMedically Underserved AreaAdultAgedFemaleHepatitis B Surface AntigensHepatitis C AntibodiesHumansIncidenceLiver NeoplasmsMaleMiddle AgedPrevalenceRepublic of KoreaRisk FactorsHepatitis B Surface AntigensHepatitis C AntibodiesEarly detection of cancerHealth behaviorHealth risk behaviorsHepatitis BHepatitis CLiver neoplasm

Identifiers

PMID42031837
PMCPMC13316040

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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.