Evidence map›Paper›PMID 37237426›Full record

ArticleHepatology research : the official journal of the Japan Society of Hepatology2023

M-PAST score is better than MAST score for the diagnosis of active fibrotic nonalcoholic steatohepatitis.

Kento Imajo, Yusuke Saigusa, Takashi Kobayashi, Koki Nagai, Shinya Nishida, Nobuyoshi Kawamura, Hiroyoshi Doi, Michihiro Iwaki, Asako Nogami, Yasushi Honda and 16 more

Open access · greenAbstract read
In one paragraph

Article in Hepatology research : the official journal of the Japan Society of Hepatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
1.3field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Accuracy of Non-Invasive Imaging Techniques for the Diagnosis of MASH in Patients With MASLD: A Systematic Review.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Review
  7. Article
  8. [Guidelines for the prevention and treatment of metabolic dysfunction-associated (non-alcoholic) fatty liver disease (Version 2024)].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2024
    Article
  9. [Research advances in the non-invasive diagnosis of metabolic dysfunction-associated fatty liver disease based on magnetic resonance technology].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2023
    Review
  10. 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

26 authors at 8 institutions in 2 countries.

Kento ImajoDepartment of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Yusuke SaigusaDepartment of Biostatistics, Yokohama City University School of Medicine, Yokohama, Japan.
Takashi KobayashiDepartment of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.ORCID https://orcid.org/0000-0002-7240-4851
Koki NagaiDepartment of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Shinya NishidaDepartment of Gastroenterology, Shin-yurigaoka General Hospital, Kawasaki, Japan.
Nobuyoshi KawamuraDepartment of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Hiroyoshi DoiDepartment of Gastroenterology, Shin-yurigaoka General Hospital, Kawasaki, Japan.
Michihiro IwakiDepartment of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Asako NogamiDepartment of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Yasushi HondaDepartment of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Takaomi KessokuDepartment of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Yuji OgawaDepartment of Gastroenterology, National Hospital Organization Yokohama Medical Center, Yokohama, Japan.
Hiroyuki KirikoshiDepartment of Clinical Laboratory, Yokohama City University Hospital, Yokohama, Japan.
Satoshi YasudaDepartment of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Gifu, Japan.
Hidenori ToyodaDepartment of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Gifu, Japan.ORCID https://orcid.org/0000-0002-1652-6168
Hideki HayashiDepartment of Gastroenterology and Hepatology, Gifu Municipal Hospital, Gifu, Japan.
Shigehiro KokubuDepartment of Gastroenterology, Shin-yurigaoka General Hospital, Kawasaki, Japan.
Daisuke UtsunomiyaDepartment of Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Hirokazu TakahashiDivision of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga, Japan.ORCID https://orcid.org/0000-0002-2374-2889
Shinichi AishimaDepartment of Pathology and Microbiology, Faculty of Medicine, Saga University, Saga, Japan.
Beom Kyung KimNAFLD Research Center, Division of Gastroenterology and Hepatology, Department of Medicine, University of California San Diego, La Jolla, California, USA.
Nobuharu TamakiNAFLD Research Center, Division of Gastroenterology and Hepatology, Department of Medicine, University of California San Diego, La Jolla, California, USA.ORCID https://orcid.org/0000-0003-4634-6616
Satoru SaitoDepartment of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Masato YonedaDepartment of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Rohit LoombaNAFLD Research Center, Division of Gastroenterology and Hepatology, Department of Medicine, University of California San Diego, La Jolla, California, USA.
Atsushi NakajimaDepartment of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Yokohama City University · JPMidorigaoka Hospital · JPUniversity of California San Diego · USOgaki Municipal Hospital · JPSaga University · JPGifu Municipal Hospital · JPNational Hospital Organization · JPYokohama City University Hospital · JP

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
Pediatric Trials in Non-Alcoholic Steatohepatitis (NASH)U01DK061734 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ROHIT LOOMBA · 2002 to 2026
$24.4M
Tissue-specific roles of FXR in CVD and NASHP01HL147835 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMBA, ROHIT · 2020 to 2024
$12.2M
San Diego Digestive Diseases Research CenterP30DK120515 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LARS ECKMANN, Bernd G. Schnabl · 2019 to 2026
$10.8M
HIV MASLD Clinical Research Network (HCRN)R01DK121378 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI NAGA P CHALASANI, ROHIT LOOMBA · 2020 to 2026
$8.7M
Novel IL-23 inhibitor for the treatment of alcohol associated liver diseaseU01AA029019 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KISSELEVA, TATIANA, LOOMBA, ROHIT · 2020 to 2024
$3.7M
QUS Technology for Diagnosis and Grading of Hepatic Steatosis in NAFLDR01DK106419 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMBA, ROHIT, SIRLIN, CLAUDE B · 2015 to 2019
$3.4M
San Diego Cirrhosis Clinical Research NetworkU01DK130190 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ROHIT LOOMBA · 2021 to 2026
$2.3M
Non-invasive screening of diabetics for advanced fibrosis due to NAFLDR01DK124318 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMBA, ROHIT · 2020 to 2022
$1.7M
NCATS NIH HHS 5UL1TR001442NCATS NIH HHS UL1 TR001442NHLBI NIH HHS P01 HL147835NHLBI NIH HHS P01HL147835NIAAA NIH HHS U01 AA029019NIAAA NIH HHS U01AA029019NIDDK NIH HHS P30 DK120515NIDDK NIH HHS P30DK120515NIDDK NIH HHS R01 DK106419NIDDK NIH HHS R01DK106419NIDDK NIH HHS R01 DK121378NIDDK NIH HHS R01DK121378NIDDK NIH HHS R01 DK124318NIDDK NIH HHS R01DK124318NIDDK NIH HHS U01 DK061734NIDDK NIH HHS U01DK061734NIDDK NIH HHS U01 DK130190NIDDK NIH HHS U01DK130190
6 · The paper itself

Abstract

backgroundClinical trials enroll patients with active fibrotic nonalcoholic steatohepatitis (NASH) (nonalcoholic fatty liver disease [NAFLD] activity score ≥ 4) and significant fibrosis (F ≥ 2); however, screening failure rates are high following biopsy. We developed new scores to identify active fibrotic NASH using FibroScan and magnetic resonance imaging (MRI).

methodsWe undertook prospective primary (n = 176), retrospective validation (n = 169), and University of California San Diego (UCSD; n = 234) studies of liver biopsy-proven NAFLD. Liver stiffness measurement (LSM) using FibroScan or magnetic resonance elastography (MRE), controlled attenuation parameter (CAP), or proton density fat fraction (PDFF), and aspartate aminotransferase (AST) were combined to develop a two-step strategy-FibroScan-based LSM followed by CAP with AST (F-CAST) and MRE-based LSM followed by PDFF with AST (M-PAST)-and compared with FibroScan-AST (FAST) and MRI-AST (MAST) for diagnosing active fibrotic NASH. Each model was categorized using rule-in and rule-out criteria.

resultsAreas under receiver operating characteristic curves (AUROCs) of F-CAST (0.826) and M-PAST (0.832) were significantly higher than those of FAST (0.744, p = 0.004) and MAST (0.710, p < 0.001). Following the rule-in criteria, positive predictive values of F-CAST (81.8%) and M-PAST (81.8%) were higher than those of FAST (73.5%) and MAST (70.0%). Following the rule-out criteria, negative predictive values of F-CAST (90.5%) and M-PAST (90.9%) were higher than those of FAST (84.0%) and MAST (73.9%). In the validation and UCSD cohorts, AUROCs did not differ significantly between F-CAST and FAST, but M-PAST had a higher diagnostic performance than MAST.

conclusionsThe two-step strategy, especially M-PAST, showed reliability of rule-in/-out for active fibrotic NASH, with better predictive performance compared with MAST. This study is registered with ClinicalTrials.gov (number, UMIN000012757).

Indexed as

active fibrotic NASHFASTF-CASTMASTM-PAST

Identifiers

PMID37237426
PMCPMC10792544
OpenAlexW4378515393

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.