Evidence map›Paper›PMID 42192499›Full record

ArticleBMC infectious diseases2026

Chronic hepatitis C infection status among HCV-Ab positive patients above 50 years old in Anhui Province from 2004 to 2022.

Liping Gong, Zeyang Li, Yangguang Wang, Meng Gao, Yongsheng Ye, Ziwei Wang, Seying Dai, Yinguang Fan

Abstract read
In one paragraph

Article in BMC infectious diseases, 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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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

8 authors.

Liping GongDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China.ORCID http://orcid.org/0009-0002-1166-3961
Zeyang LiDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China.ORCID http://orcid.org/0009-0004-7050-3612
Yangguang WangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China.ORCID http://orcid.org/0009-0004-0724-9033
Meng GaoDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China.ORCID http://orcid.org/0009-0007-0546-5439
Yongsheng YeDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China.ORCID http://orcid.org/0009-0005-1443-1594
Ziwei WangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China.ORCID http://orcid.org/0009-0002-9112-0384
Seying DaiAnhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, 230061, China. fjptdsy@126.com.ORCID http://orcid.org/0000-0001-6405-9974
Yinguang FanDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China. 2003500020@ahmu.edu.cn.ORCID http://orcid.org/0000-0002-8748-8082

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo grasp the current HCV infection status and factors among HCV-Ab positive patients above 50 years old in Anhui Province from 2004 to 2022, and to explore the factors that contribute to the development of CHC.

methodsThis study focuses on patients aged 50 and above who were diagnosed with HCV-Ab positive between 2004 and 2022 in the information system of the Chinese Center for Disease Control and Prevention. The recorded laboratory data (ALT, AST, PLT) were included for subsequent analysis. The overall condition and knowledge level of patients related to hepatitis C were evaluated through a questionnaire survey, and blood samples were collected using nested one-step RT-PCR technology for hepatitis C nucleic acid testing to determine their current infection status. If their HCV antibody test results remained positive for six months or more, they were considered to have CHC. The research subjects were randomly divided into a test set and a validation set in a 7:3 ratio. Lasso regression analysis was then applied to the test set to identify influencing factors, and the robustness of the selected variables in the model was evaluated through ROC curves and statistical indicators. Finally, a multivariate logistic regression model was established with Lasso regression to screen important feature variables as independent variables and CHC infection status as a positive outcome.

resultsA total of 4,558 valid questionnaires were collected. The overall awareness rate regarding the prevention and treatment of hepatitis C was 25.87%, with 1,196 participants (26.24%) testing positive for HCV RNA, and were recorded as CHC patients. The study revealed a statistically significant difference in HCV RNA positivity rates between those who had previously received antiviral therapy and those who had not (χ² = 490.65, P < 0.001). The results of the model, including variables selected by LASSO regression, show an AUC of 0.798 (95% CI: 0.750 ~ 0.805), a sensitivity of 0.685, a specificity of 0.780, a precision of 0.518, and an F1 score of 0.590. Logistic regression showed that subjects who were female (OR = 0.639, 95% CI: 0.547 ~ 0.746), located in the northern region of Anhui Province (OR = 0.551, 95% CI: 0.464 ~ 0.653), and had received antiviral treatment (OR = 0.138, 95% CI: 0.112 ~ 0.171) were at a lower probability of developing CHC.

conclusionsA high prevalence of CHC infection was observed in Anhui Province, whereas awareness and antiviral treatment rates were low among individuals aged ≥ 50 years with previous hepatitis C. Health education should be strengthened to promote HCV RNA screening and antiviral treatment, especially for male patients in southern Anhui who are not receiving antiviral therapy and have elevated AST levels. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Hepatitis C AntibodiesHepatitis C, ChronicAgedChinaFemaleHepacivirusHumansLogistic ModelsMaleMiddle AgedRNA, ViralROC CurveSurveys and QuestionnairesHepatitis C AntibodiesRNA, ViralAwarenessHepatitis CLasso regressionModels

Identifiers

PMID42192499
PMCPMC13536665

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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.