Evidence map›Paper›PMID 37349664›Full record

ArticleJournal of epidemiology and global health2023

Impact and Cost-Effectiveness of Biomedical Interventions on Adult Hepatitis B Elimination in China: A Mathematical Modelling Study.

Xinran Wang, Zhicheng Du, Yijing Wang, Junren Wang, Shanshan Huang, Ying Wang, Jing Gu, Wanyu Deng, Stuart Gilmour, Jinghua Li and 1 more

Abstract read
In one paragraph

Article in Journal of epidemiology and global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
  4. Article
  5. Article
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

11 authors.

Xinran Wang *Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
Zhicheng Du *Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
Yijing WangDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
Junren WangDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
Shanshan HuangDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
Ying WangDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
Jing GuDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
Wanyu DengCollege of Life Science, Shangrao Normal University, Shangrao, 334001, China.
Stuart GilmourGraduate School of Public Health, St. Luke's International University, Tokyo, Japan.
Jinghua LiDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China. lijinghua3@mail.sysu.edu.cn.
Yuantao HaoPeking University Center for Public Health and Epidemic Preparedness and Response, Beijing, 100191, China. haoyt@bjmu.edu.cn.ORCID 0000-0003-4146-9262

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChina has one of the highest hepatitis B virus (HBV) disease burdens worldwide and tracking progress toward the 2030 HBV elimination targets is essential. This study aimed to assess the impact of biomedical interventions (i.e., adult vaccination, screening and treatment) on the adult HBV epidemic, estimate the time for HBV elimination, and evaluate the cost-effectiveness of the interventions in China.

methodsA deterministic compartmental model was developed to project the HBV epidemic from 2022 to 2050 and estimate the time to meet elimination targets under four intervention scenarios. Cost-effectiveness was calculated using incremental cost per quality-adjusted life year (QALY) gained, i.e., average cost-effectiveness ratio (CER).

resultsUnder the status quo, there will be 42.09-45.42 million adults living with HBV in 2050 and 11.04-14.36 million HBV-related deaths cumulatively from 2022 to 2050. Universal vaccination would cumulatively avert 3.44-3.95 million new cases at a cost of US$1027-1261/QALY gained. The comprehensive strategy would cumulatively avert 4.67-5.24 million new chronic cases and 1.39-1.85 million deaths, expediting the realization of the elimination targets forward to 2049. This strategy was also cost-effective with an average CER of US$20,796-26,685/QALY and a saved healthcare cost of US$16.10-26.84 per person.

conclusionChina is not on track to meet the elimination targets but comprehensive biomedical interventions can accelerate the realization of the targets. A comprehensive strategy is cost-effective and cost-saving, which should be promoted in primary care infrastructures. Universal adult vaccination may be appropriate in the near future considering practical feasibility.

Indexed as

Antiviral AgentsHepatitis BAdultChinaCost-Benefit AnalysisHepatitis B virusHumansQuality-Adjusted Life YearsAntiviral AgentsCost-effectivenessEliminationHepatitis BInterventionMathematical modeling

Identifiers

PMID37349664
PMCPMC10469118

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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.