Evidence map›Paper›PMID 35090390›Full record

ArticleBMC gastroenterology2022

Diagnostic efficacy of FibroScan for liver inflammation in patients with chronic hepatitis B: a single-center study with 1185 liver biopsies as controls.

Kaiping Jiang, Lei Zhang, Jianhong Li, Hongtao Hu, Qinghua Huang, Tengyu Qiu, Xiaoai Mo, Jian Ren, Wenqiang Guo, Yin Tao and 11 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06573190 (The Value of Fibroscan® in Assessing the Liver Status and Presence of MASLD/MASH in Patients With Chronic Hepatitis B and Monitoring Changes by Antiviral Therapy), which is not on this map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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.

NCT06573190 completednot on this mapstarted 2023, after this paper: background citation

The Value of Fibroscan® in Assessing the Liver Status and Presence of MASLD/MASH in Patients With Chronic Hepatitis B and Monitoring Changes by Antiviral Therapy: Faraday Study

TypeobservationalSponsorYaşar Bayındır, MDRan2023 to 2024Enrolled70ConditionsChronic Hepatitis B, Hepatic SteatosisArmsTransient elastography, Tenofovir Disoproxil Fumarate
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  10. [Transient elastography technology role assessment during the diagnosis and treatment of patients with chronic hepatitis B virus infection].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2023
    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

21 authors at 2 institutions in 1 country.

Kaiping Jiang *Department of Hepatology, Foshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, No.6 Qinren Road, Chancheng District, Foshan, 528000, Guangdong Province, China. jkpingfs@vip.163.com.
Lei Zhang *Department of Hepatology, Foshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, No.6 Qinren Road, Chancheng District, Foshan, 528000, Guangdong Province, China.
Jianhong Li *Department of Hepatology, Foshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, No.6 Qinren Road, Chancheng District, Foshan, 528000, Guangdong Province, China.
Hongtao HuDepartment of Hepatology, Foshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, No.6 Qinren Road, Chancheng District, Foshan, 528000, Guangdong Province, China.
Qinghua HuangDepartment of Hepatology, Foshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, No.6 Qinren Road, Chancheng District, Foshan, 528000, Guangdong Province, China.
Tengyu QiuDepartment of Hepatology, Foshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, No.6 Qinren Road, Chancheng District, Foshan, 528000, Guangdong Province, China.
Xiaoai MoDepartment of Hepatology, Foshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, No.6 Qinren Road, Chancheng District, Foshan, 528000, Guangdong Province, China.
Jian RenDepartment of Hepatology, Foshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, No.6 Qinren Road, Chancheng District, Foshan, 528000, Guangdong Province, China.
Wenqiang GuoDepartment of Hepatology, Foshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, No.6 Qinren Road, Chancheng District, Foshan, 528000, Guangdong Province, China.
Yin TaoDepartment of Hepatology, Foshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, No.6 Qinren Road, Chancheng District, Foshan, 528000, Guangdong Province, China.
Haijun CuiDepartment of Hepatology, Foshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, No.6 Qinren Road, Chancheng District, Foshan, 528000, Guangdong Province, China.
Ying ZuoDepartment of Hepatology, Foshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, No.6 Qinren Road, Chancheng District, Foshan, 528000, Guangdong Province, China.
Xuli ChenDepartment of Hepatology, Foshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, No.6 Qinren Road, Chancheng District, Foshan, 528000, Guangdong Province, China.
Youqing XieDepartment of Hepatology, Foshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, No.6 Qinren Road, Chancheng District, Foshan, 528000, Guangdong Province, China.
Yanxing LiDepartment of Hepatology, Foshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, No.6 Qinren Road, Chancheng District, Foshan, 528000, Guangdong Province, China.
Haimin LiangDepartment of Hepatology, Foshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, No.6 Qinren Road, Chancheng District, Foshan, 528000, Guangdong Province, China.
Zhaohong LiuDepartment of Ultrasound, Foshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, No.6 Qinren Road, Chancheng District, Foshan, 528000, Guangdong Province, China.
Le XieDepartment of Pathology, Foshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, No.6 Qinren Road, Chancheng District, Foshan, 528000, Guangdong Province, China.
Rongjun MaoDepartment of Pathology, Foshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, No.6 Qinren Road, Chancheng District, Foshan, 528000, Guangdong Province, China.
Qunfang JiangDepartment of Hepatology, Foshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, No.6 Qinren Road, Chancheng District, Foshan, 528000, Guangdong Province, China.
Kaizhou HuangDepartment of Hepatology, Foshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, No.6 Qinren Road, Chancheng District, Foshan, 528000, Guangdong Province, China.
Guangzhou University of Chinese Medicine · CNFoshan Hospital of TCM · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNoninvasive diagnostic technologies that can dynamically monitor changes in liver inflammation are highly important for the management of chronic hepatitis B (CHB) patients and thus warrant further exploration. This study assessed the diagnostic efficacy of FibroScan for liver inflammation in CHB patients.

methodsA total of 1185 patients were selected, and ultrasound-guided liver biopsy was performed within 1 month after the FibroScan test. The liver stiffness measurement (LSM), the reliability criteria (IQR/M) of LSM, the quality of liver biopsy (complete portal area, PA), and the liver inflammation grades were the main observation items of this study. With liver biopsy as the control, the diagnostic efficacy of FibroScan for liver inflammation in CHB patients was evaluated by receiver operating characteristic (ROC) curve analysis.

resultsThe grade of liver inflammation was positively correlated with the stage of fibrosis (rho = 0.829, P < 0.001). Different grades of inflammation will have significant rise in LSM values within the same fibrosis stage, and LSM values were positively correlated with liver inflammation grade and fibrosis stage, and the rho is 0.579 and 0.593 respectively (P < 0.001). Significant differences in the LSM of FibroScan were observed among different grades of liver inflammation (P < 0.0001). Liver biopsy (PA > 10) served as the control, and the cutoff point and the area under ROC curves (AUCs) of the LSMs for different inflammation grades were as follows: G2, 8.6 kPa, 0.775; G3 9.8 kPa, 0.818; and G4, 11.0 kPa; 0.832. With LSM cutoff values of 8.6 kPa, 9.8 kPa and 11.0 kPa, FibroScan showed certain diagnostic value for CHB patients with G2, G3 and G4 liver inflammation, especially those with G4 inflammation.

conclusionsThe grade of liver inflammation was positively correlated with the stage of fibrosis, different grades of inflammation will have significant rise in LSM values within the same fibrosis stage. In addition to liver fibrosis, FibroScan could evaluate liver inflammation in CHB patients in a noninvasive manner.

Indexed as

Hepatitis B, ChronicBiopsyHumansInflammationReproducibility of ResultsChronic hepatitis B (CHB)FibroScanLiver inflammationLiver stiffness measurement (LSM)Noninvasive diagnosis

Identifiers

PMID35090390
PMCPMC8800333
OpenAlexW4225888909

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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.