Evidence map›Paper›PMID 30208564›Full record

ArticleJournal of clinical medicine2018

Fibrosis Staging Using Direct Serum Biomarkers is Influenced by Hepatitis Activity Grading in Hepatitis C Virus Infection.

Koji Fujita, Noriyuki Kuroda, Asahiro Morishita, Kyoko Oura, Tomoko Tadokoro, Takako Nomura, Hirohito Yoneyama, Takeshi Arai, Takashi Himoto, Seishiro Watanabe and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  12. Albumin-bilirubin score indicates liver fibrosis staging and prognosis in patients with chronic hepatitis C.Hepatology research : the official journal of the Japan Society of Hepatology · 2019
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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

11 authors at 3 institutions in 1 country.

Koji FujitaDepartment of Gastroenterology and Neurology, Faculty of Medicine, Kagawa University, Miki 761-0701, Japan. 92m7v9@med.kagawa-u.ac.jp.ORCID 0000-0001-9390-7565
Noriyuki KurodaDepartment of Clinical Laboratory, Kagawa University Hospital, Miki 761-0701, Japan. nkuroda@med.kagawa-u.ac.jp.
Asahiro MorishitaDepartment of Gastroenterology and Neurology, Faculty of Medicine, Kagawa University, Miki 761-0701, Japan. asahiro@med.kagawa-u.ac.jp.
Kyoko OuraDepartment of Gastroenterology and Neurology, Faculty of Medicine, Kagawa University, Miki 761-0701, Japan. kyoko_oura@med.kagawa-u.ac.jp.
Tomoko TadokoroDepartment of Gastroenterology and Neurology, Faculty of Medicine, Kagawa University, Miki 761-0701, Japan. t-nishioka@med.kagawa-u.ac.jp.
Takako NomuraDepartment of Gastroenterology and Neurology, Faculty of Medicine, Kagawa University, Miki 761-0701, Japan. takako-n@med.kagawa-u.ac.jp.
Hirohito YoneyamaDepartment of Gastroenterology and Neurology, Faculty of Medicine, Kagawa University, Miki 761-0701, Japan. hyoneyam@med.kagawa-u.ac.jp.
Takeshi AraiDepartment of Clinical Laboratory, Kagawa University Hospital, Miki 761-0701, Japan. tarai@med.kagawa-u.ac.jp.
Takashi HimotoDepartment of Medical Technology, Kagawa Prefectural University of Health Sciences, Takamatsu 761-0123, Japan. himoto@chs.pref.kagawa.jp.
Seishiro WatanabeDepartment of Gastroenterology and Neurology, Faculty of Medicine, Kagawa University, Miki 761-0701, Japan. seishirowww@yahoo.co.jp.
Tsutomu MasakiDepartment of Gastroenterology and Neurology, Faculty of Medicine, Kagawa University, Miki 761-0701, Japan. tmasaki@med.kagawa-u.ac.jp.
Kagawa University · JPKagawa University Hospital · JPKagawa Prefectural College of Health Sciences · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic liver diseases (CLDs) generally progress from inflammation to fibrosis and finally to carcinogenesis. Staging of liver fibrosis progression is inevitable for the management of CLD patients. The purpose of this study was to compare the diagnostic abilities of Wisteria floribunda agglutinin-positive Mac-2 binding protein (WFA-M2BP), Enhanced liver fibrosis (ELF) score, Fibrosis-4 index, and AST to platelet ratio index (APRI) based on histopathological analysis of liver biopsy samples, from patients with positive Hepatitis C Virus (HCV) infection.

methodsJapanese patients with HCV infection who underwent liver biopsy examinations were enrolled in this study. WFA-M2BP levels and ELF scores were calculated using preserved serum samples. The fibrosis staging and activity grading were assessed using a modified METAVIR score.

resultsA total of 122 patients were enrolled; the cohort included 27 patients with stage 1, 66 with stage 2, 20 with stage 3, and nine with stage 4 fibrosis. All four biomarkers distinguished stage 3 and stage 2 fibrosis. ROC curves revealed that all four fibrosis biomarkers presented AUC values greater than 0.8. Each of the four biomarkers in stage 2 was significantly different between the activity grade 1 and 2 groups.

conclusionFib-4 index and APRI were comparable with WFA-M2BP and ELF score in the diagnosis of advanced liver fibrosis in Japanese patients with HCV infection. All four biomarkers of liver fibrosis were influenced by histopathological activity grading, which implies that liver biopsy should be the gold standard to evaluate liver fibrosis staging even though several noninvasive biomarkers have been investigated well.

Indexed as

biomarkersbiopsychronichepatitis Cinterferonsliver cirrhosisneedle

Identifiers

PMID30208564
PMCPMC6162836
OpenAlexW2890213152

What OpenQuestion holds

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LicenceCC BY
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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.