Evidence map›Paper›PMID 38858190›Full record

ArticleZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology2024

[Strategic considerations in health economics for the complete treatment of patients with chronic HBV infection].

S H Zhang, F Q Cui

Abstract readEnglish Abstract
In one paragraph

Article in Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

S H ZhangSchool of Public Health, Peking University, Beijing 100191, China.
F Q CuiSchool of Public Health, Peking University, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The World Health Organization (WHO) released the Global Health Sector Strategy 2016, which explicitly proposes a 90% reduction in the new hepatitis B virus (HBV) infection rate and a 65% reduction in HBV-related mortality by 2030. However, at present, there are still 296 million chronic hepatitis B virus-infected patients worldwide, and nearly 900,000 patients die every year from cirrhosis and liver cancer caused by HBV infection. Antiviral treatment for chronic hepatitis B virus infection can effectively inhibit HBV replication, reduce liver inflammation and necrosis, effectively block and reverse liver fibrosis, and even early cirrhosis, thereby lowering cirrhosis-related complications, liver cancer, and liver disease-related mortality. Although the domestic and foreign guidelines have gradually eased antiviral treatment indications for chronic hepatitis B, there are still a considerable number of chronic hepatitis B patients with nonconformity who cannot receive antiviral treatment because they do not meet the existing standards, resulting in the progression of more severe diseases. This study analyzed the prevalence of hepatitis B, the therapeutic effect of antiviral drugs, domestic and international guideline treatment standards, the assessment of key indicators changes in the guidelines, comprehensively considered the coverage rate and treatment standards for antiviral treatment, and explored the changes in disease burden and cost-effectiveness following increasing the coverage rate and reducing treatment thresholds in order to achieve the global strategic goal of eliminating hepatitis B as soon as possible as a public health threat.

Indexed as

Antiviral AgentsHepatitis B, ChronicHepatitis B virusHumansAntiviral AgentsAlanine transaminaseAntivirulenceChronic hepatitis BHealth economyHepatitis B virusInfectionTherapeutic

Identifiers

PMID38858190
PMCPMC12898952

What OpenQuestion holds

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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.