Evidence map›Paper›PMID 39959606›Full record

ArticleLiver research (Beijing, China)2021

Correlation of effective hepatic blood flow with liver pathology in patients with hepatitis B virus.

Xin Shu, Haixia Sun, Xiaoan Yang, Yifan Jia, Peiyan Xu, Hong Cao, Ka Zhang

Abstract read
In one paragraph

Article in Liver research (Beijing, China), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Pathological effects of diabetic mice withWorld journal of diabetes · 2026
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  3. Article
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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

7 authors.

Xin ShuDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Haixia SunDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xiaoan YangDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yifan JiaDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Peiyan XuDepartment of Infectious Diseases, Huadu District People's Hospital of Guangzhou, Guangzhou, China.
Hong CaoDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Ka ZhangDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Effective hepatic blood flow (EHBF) decreases with liver disease progression, and identifying liver pathology is critical for patients with liver disease. This study was designed to elucidate the correlation between EHBF and liver pathology and explore the potential of EHBF for predicting the degree of liver pathology. Methods: In this study, 207 patients with hepatitis B virus (HBV) who underwent liver biopsy and indocyanine green (ICG) clearance tests were enrolled. EHBF was measured using the ICG clearance test, and liver tissue was histologically analyzed to determine the pathological stage according to the Scheuer scoring system. Demographic data, biochemical indexes, and FibroScan data were collected for statistical analysis. Results: EHBF levels decreased as the liver histological stages of inflammation and fibrosis increased ( Conclusions: EHBF levels and liver pathology are significantly correlated. EHBF could effectively reflect liver inflammation and fibrosis in patients infected with HBV, especially for patients without liver inflammation or liver fibrosis.

Indexed as

Effective hepatic blood flow (EHBF)Hepatitis B virus (HBV)Liver diseaseLiver fibrosisLiver inflammation

Identifiers

PMID39959606
PMCPMC11791847

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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.