Evidence map›Paper›PMID 35359064›Full record

ArticleZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology2022

[Expert opinion on expanding anti-HBV treatment for chronic hepatitis B].

Chinese Society of Hepatology, Chinese Medical Association

Registry-linked trialAbstract readConsensus Statement
In one paragraph

Article in Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05937178 (A Real-world Study of Optimizing Nucleotide-analogues-based Treatment for Chronic Hepatitis B), which is not on this map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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.

NCT05937178 recruitingnot on this mapstarted 2023, after this paper: background citation

A Real-world Study of Optimizing Nucleotide-analogues-based Treatment for Chronic Hepatitis B

TypeobservationalSponsorHuashan HospitalRan2023 to 2029Enrolled20,000ConditionsHepatitis B, ChronicArmsETV/TAF/TDF/TMF/IFN, ETV/TAF/TDF/TMF
3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Guidelines for the Prevention and Treatment of Chronic Hepatitis B (version 2022).Journal of clinical and translational hepatology · 2023
    Article
  14. Tenofovir amibufenamideWorld journal of gastroenterology · 2023
    Article
  15. Article
  16. Article
  17. Clinicopathologic characteristics of liver inflammation and fibrosis in 310 patients with chronic hepatitis B.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023
    Article
  18. Article
  19. Article
  20. Review
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

1 author.

Chinese Society of Hepatology, Chinese Medical Association

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To meet the unmet medical needs and better reflect the new clinical evidence of chronic hepatitis B management, Chinese Society of Hepatology developed expert consensus on expanding diagnosis and treatment in China. The recommendations include to expand HBsAg screening in the population and HBV DNA detection by sensitive quantitative real-time PCR (qPCR), decrease the alanine aminotransferase (ALT) threshold for treatment of chronic hepatitis B, and promptly start antiviral therapy in the patients who are at risk of disease progression, and appropriately manage the patients with low level viremia.

Indexed as

Hepatitis B, ChronicAlanine TransaminaseDNA, ViralHepatitis B Surface AntigensHumansAlanine TransaminaseDNA, ViralHepatitis B Surface AntigensChronic hepatitis BIndicationTreatment

Identifiers

PMID35359064
PMCPMC12770186

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.