Evidence map›Paper›PMID 38313234›Full record

ArticleWorld journal of gastroenterology2024

Antiviral treatment standards for hepatitis B: An urgent need for expansion.

Zi-Hong Bao, Zhi-Kun Dai, Hao-Xian Tang

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 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
1.2field-weighted citation impact, top 23% of its field
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, 3 citations in OpenAlex.

  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

3 authors at 1 institution in 1 country.

Zi-Hong BaoDepartment of Infectious Diseases, The First Affiliated Hospital of Shantou University Medical College, Shantou 515041, Guangdong Province, China.
Zhi-Kun DaiDepartment of Infectious Diseases, The First Affiliated Hospital of Shantou University Medical College, Shantou 515041, Guangdong Province, China.
Hao-Xian TangMedical College, Shantou University Medical College, Shantou 515041, Guangdong Province, China.
Shantou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present letter to the editor is related to the review with the title "Past, present, and future of long-term treatment for hepatitis B virus." Chronic hepatitis B (CHB) represents an important and pressing public health concern. Timely identification and effective antiviral therapy hold the potential to reduce liver-related mortality attributable to chronic infection with hepatitis B virus (HBV) substantially. However, the current global treatment rates for CHB remain conspicuously low, with the excessively stringent treatment criteria advocated by national CHB guidelines being a contributing factor to these low rates. Nevertheless, recent strides in comprehending this malady and the emergence of novel antiviral agents prompt the imperative re-evaluation of treatment standards to extend the sphere of potential beneficiaries. An impending need arises for a novel paradigm for the classification of patients with CHB, the expansion of antiviral treatment eligibility for HBV-infected individuals, and even the streamlining of the diagnostic process for CHB to amplify cost-effectiveness and augment survival prospects.

Indexed as

Hepatitis B, ChronicAntiviral AgentsDNA, ViralHepatitis B e AntigensHepatitis B virusHumansAntiviral AgentsDNA, ViralHepatitis B e AntigensAntiviral treatment criteriaChronic hepatitis BHepatitis B virusLetter to the EditorLiver-related mortalitySerum alanine aminotransferase

Identifiers

PMID38313234
PMCPMC10835536
OpenAlexW4391241566

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.