Evidence map›Paper›PMID 26712427›Full record

ArticleChinese medical journal2016

A Decade-old Change in the Screening Rate for Hepatocellular Carcinoma Among a Hepatitis B Virus-infected Population in Korea.

Hee Yeon Kim, Chang Wook Kim, Jong Young Choi, Chung-Hwa Park, Chang Don Lee, Hyeon Woo Yim

Abstract read
In one paragraph

Article in Chinese medical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 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

6 authors.

Hee Yeon Kim
Chang Wook KimDepartment of Internal Medicine, Division of Hepatology, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
Jong Young Choi
Chung-Hwa Park
Chang Don Lee
Hyeon Woo Yim

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvaluating a change in the screening rate for hepatocellular carcinoma (HCC) is critical for understanding screening implementation, and whether targeted population groups are receiving proper screening. This study examined recent nationwide changes in HCC screening use among hepatitis B virus (HBV)-infected populations after the introduction of the Korean National Cancer Screening Program and predictors of screening adherence.

methodsWe analyzed 165 and 276 participants ≥40 years of age who were hepatitis B surface antigen-positive from 2001 (14,936 participants) to 2010-2011 (9159 participants) Korea National Health and Nutrition Examination Surveys, respectively. Demographic data, socioeconomic factors, and HCC screening use were collected by means of self-reported questionnaires.

resultsThe rate of HCC screening within the previous 2 years increased significantly from 17.5% in 2001 to 40.3% in 2010-2011 (P < 0.0001). The rate of HCC screening use increased from 2001 to 2010-2011 in all study populations. Subjects who had a higher income status and were aware of their infection were more likely to have undergone recent HCC screening.

conclusionsThis study showed a substantial increase in HCC screening in high-risk HBV-infected subjects from 2001 to 2010-2011. However, the HCC screening participation rate remained suboptimal despite the introduction of the nationwide screening program. Efforts should be made to identify high-risk individuals and increase attendance at HCC screening events among high-risk groups.

Indexed as

AdultCarcinoma, HepatocellularFemaleHepatitis BHumansLiver NeoplasmsMaleMass ScreeningMiddle AgedRepublic of KoreaRisk FactorsSurveys and Questionnaires

Identifiers

PMID26712427
PMCPMC4797536

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.