Evidence map›Paper›PMID 38990730›Full record

ArticleJournal of clinical gastroenterology

The Early On-treatment Stiffness Decline Attributed to the Improved Hepatic Inflammation in Fibrotic Chronic Hepatitis B.

Mingwei Li, Mingjie Yao, Leijie Wang, Yanna Liu, Dong Ji, Yongping Yang, Fengmin Lu

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Article in Journal of clinical gastroenterology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Mingwei LiResearch Center for Clinical Medical Sciences, the Fourth Hospital of Shijiazhuang, Shijiazhuang, China.
Mingjie YaoDepartment of Anatomy and Embryology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
Leijie WangCollege of Basic Medical Sciences, Zhengzhou University, Zhengzhou, China.
Yanna LiuDepartment of Gastroenterology and Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, China.
Dong JiSenior Department of Hepatology, the Fifth Medical Center of PLA General Hospital, Beijing, China.
Yongping YangSenior Department of Hepatology, the Fifth Medical Center of PLA General Hospital, Beijing, China.
Fengmin LuDepartment of Microbiology and Infectious Disease Center, School of Basic Medicine, Peking University Health Science Center, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHepatic inflammation, the driver of fibrosis progression in liver disease, can impact the accuracy of liver stiffness measurement (LSM). We wondered whether the decline in LSM value during the early antiviral phase was mainly attributed to the control of hepatic inflammation or the regression of fibrosis in patients with fibrotic/cirrhotic chronic hepatitis B (CHB). PATIENTS AND

methodsThe study cohort was composed of 82 patients with CHB who underwent antiviral and antifibrotic therapy at the Fifth Medical Center of PLA General Hospital. All patients had liver biopsies at both baseline and 72 weeks posttherapy. Liver pathology and clinical data, including the LSM value, were collected.

resultsAfter 72 weeks of treatment, both the histologic activity index score and fibrosis score, as well as the LSM value, were significantly decreased ( P < 0.001), compared with their baseline values. The pretreatment correlation of LSM value with either histologic activity index score ( r = 0.526 vs r = 0.286) or fibrosis score ( r = 0.677 vs r = 0.587) was attenuated at 72 weeks. Notably, logistic regression analysis revealed that the improvement in inflammation (odds ratio = 1.018, 95% CI: 1.002-1.031, P = 0.023) but not fibrosis (odds ratio = 0.994, 95% CI: 0.980-1.009, P = 0.414), had an impact on the change in LSM values between baseline and at 72-week treatment.

conclusionsThe findings of this study suggest that in patients with fibrotic CHB receiving antiviral medication, the early phase reduction in LSM value was related to improved hepatic inflammation rather than fibrosis regression.

Indexed as

Antifibrotic AgentsAntiviral AgentsHepatitis B, ChronicLiver CirrhosisAdultBiopsyDisease ProgressionElasticity Imaging TechniquesFemaleHumansInflammationLiverMaleMiddle AgedRetrospective StudiesSeverity of Illness IndexAntifibrotic AgentsAntiviral Agentschronic hepatitis Bliver inflammationliver stiffness measurement

Identifiers

PMID38990730
PMCPMC11974622

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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.