Evidence map›Paper›PMID 40468268›Full record

ArticleBMC public health2025

Age-period-cohort and bayesian age-period-cohort prediction modeling of hepatitis C incidence and mortality in China.

Fei Lin, Zhenzhou Liu, Jianli Zhai, Shibei Yi, Yanyan Li, Yongbin Wang

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Fei LinDepartment of Epidemiology and Health Statistics, School of Public Health, Department of Traditional Chinese Medicine, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan Province, China.
Zhenzhou LiuDepartment of Epidemiology and Health Statistics, School of Public Health, Department of Traditional Chinese Medicine, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan Province, China.
Jianli ZhaiDepartment of Epidemiology and Health Statistics, School of Public Health, Department of Traditional Chinese Medicine, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan Province, China.
Shibei YiDepartment of Epidemiology and Health Statistics, School of Public Health, Department of Traditional Chinese Medicine, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan Province, China.
Yanyan LiDepartment of Epidemiology and Health Statistics, School of Public Health, Department of Traditional Chinese Medicine, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan Province, China. 2320192093@qq.com.
Yongbin WangDepartment of Epidemiology and Health Statistics, School of Public Health, Department of Traditional Chinese Medicine, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan Province, China. wybwho@163.com.

Funding

the Natural Science Foundation in Henan Province 222300420265
6 · The paper itself

Abstract

backgroundHepatitis C remains a significant public health challenge in China, despite global advancements in treatment and prevention. This study aimed to investigate the age, period, and cohort effects on hepatitis C incidence and mortality trends in China and project future trajectories to inform targeted interventions.

methodsData on hepatitis C incidence, mortality, and age-standardized rates (ASIR/ASMR) from 1992 to 2021 were extracted from the Global Burden of Disease (GBD) 2021 database. Joinpoint regression analyzed annual percentage change with 95% confidence intervals (CI). Age-period-cohort (APC) model evaluated relative risks (RR) of age, period, and birth cohort effects using Poisson regression. A Bayesian APC (BAPC) model projected trends from 2022 to 2035.

resultsFrom 1992 to 2021, hepatitis C incidence cases declined by 31.54% (1,655,914 to 1,133,610 cases), ASIR declined by 39.00% (152.23 to 92.85 per 100,000, estimated annual percentage change [EAPC] = -1.99%, 95% confidence interval [CI]: -2.32%--1.67%). Mortality counts rose by 28.60% (36,869 to 51,638 deaths), yet ASMR decreased (EAPC=-1.76%, 95%CI: -1.89%--1.63%). Gender disparities persisted: females had higher ASIR (157.73 vs. males: 147.86 per 100,000 in 1992 and 93.23 vs. males: 93.10 per 100,000 in 2021) but lower ASMR (3.96 vs. males: 4.67 per 100,000 in 1992 and 2.28 vs. males: 2.89 per 100,000 in 2021). The APC model analysis revealed elevated risks for pre-1962 birth cohorts (incidence relative risk [RR] = 1.479, 95%CI: 0.391-5.601; mortality RR = 2.496, 95%CI: 2.094-2.975) and declining period effects post-2004 (incidence RR = 0.757, 95%CI: 0.635-0.902; mortality RR = 0.618, 95%CI: 0.553-0.690). The BAPC model projections indicated continued ASIR declines by 2035, yet female incidence is expected to rise (87.45 to 95.21 per 100,000), contrasting with male declines (83.94 to 74.71 per 100,000). Mortality rate will decrease, but absolute deaths remain substantial.

conclusionsDeclining standardized rates reflect progress in prevention and treatment scale-up, yet rising mortality cases underscore the enduring burden of undiagnosed infections. Targeted interventions for aging cohorts, gender-specific strategies, and equitable access to direct-acting antivirals are critical to achieving hepatitis C elimination. Policymakers must prioritize enhanced screening, public awareness, and resource allocation to mitigate disparities and align with WHO 2030 goals.

Indexed as

Hepatitis CAdolescentAdultAgedBayes TheoremChinaCohort StudiesFemaleHumansIncidenceMaleMiddle AgedYoung AdultAge-period-cohort analysisBayesian age-period-cohort analysisHepatitis CIncidenceMortality

Identifiers

PMID40468268
PMCPMC12135535

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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.