Evidence map›Paper›PMID 38468382›Full record

ArticleEpidemiology and infection2024

Temporal trend analysis of acute hepatitis B virus infection in China, 1990-2019.

Ying Han, Yuansheng Li, Shuyuan Wang, Jialu Chen, Junhui Zhang

Abstract read
In one paragraph

Article in Epidemiology and infection, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 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

5 authors.

Ying HanDepartment of Epidemiology and Health Statistics, School of Public Health, Southwest Medical University, Luzhou, P. R. China.
Yuansheng LiDepartment of Epidemiology and Health Statistics, School of Public Health, Southwest Medical University, Luzhou, P. R. China.
Shuyuan WangDepartment of Epidemiology and Health Statistics, School of Public Health, Southwest Medical University, Luzhou, P. R. China.
Jialu ChenDepartment of Epidemiology and Health Statistics, School of Public Health, Southwest Medical University, Luzhou, P. R. China.
Junhui ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Southwest Medical University, Luzhou, P. R. China.ORCID 0000-0001-6166-1601

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China faces challenges in meeting the World Health Organization (WHO)'s target of reducing hepatitis B virus (HBV) infections by 95% using 2015 as the baseline. Using Global Burden of Disease (GBD) 2019 data, joinpoint regression models were used to analyse the temporal trends in the crude incidence rates (CIRs) and age-standardized incidence rates (ASIRs) of acute HBV (AHBV) infections in China from 1990 to 2019. The age-period-cohort model was used to estimate the effects of age, period, and birth cohort on AHBV infection risk, while the Bayesian age-period-cohort (BAPC) model was applied to predict the annual number and ASIRs of AHBV infections in China through 2030. The joinpoint regression model revealed that CIRs and ASIRs decreased from 1990 to 2019, with a faster decline occurring among males and females younger than 20 years. According to the age-period-cohort model, age effects showed a steep increase followed by a gradual decline, whereas period effects showed a linear decline, and cohort effects showed a gradual rise followed by a rapid decline. The number of cases of AHBV infections in China was predicted to decline until 2030, but it is unlikely to meet the WHO's target. These findings provide scientific support and guidance for hepatitis B prevention and control.

Indexed as

Hepatitis BBayes TheoremChinaFemaleHepatitis B virusHumansIncidenceMaleacute hepatitis B virus infectionage–period–cohort modelBayesian age–period–cohort modeljoinpoint regression modeltemporal trend

Identifiers

PMID38468382
PMCPMC10964186

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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.