Evidence map›Paper›PMID 34263075›Full record

ArticleJGH open : an open access journal of gastroenterology and hepatology2021

Validation of a two-step approach combining serum biomarkers and liver stiffness measurement to predict advanced fibrosis.

Hideki Fujii, Masaru Enomoto, Shinya Fukumoto, Tatsuo Kimura, Yuji Nadatani, Shingo Takashima, Atsushi Hagihara, Sawako Uchida-Kobayashi, Akihiro Tamori, Naoki Nishimoto and 1 more

Open access · goldAbstract read
In one paragraph

Article in JGH open : an open access journal of gastroenterology and hepatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. 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

11 authors at 2 institutions in 1 country.

Hideki FujiiDepartment of Premier Preventive Medicine Graduate School of Medicine, Osaka City University Osaka Japan.ORCID https://orcid.org/0000-0003-1267-9623
Masaru EnomotoDepartment of Hepatology Graduate School of Medicine, Osaka City University Osaka Japan.
Shinya FukumotoDepartment of Premier Preventive Medicine Graduate School of Medicine, Osaka City University Osaka Japan.
Tatsuo KimuraDepartment of Premier Preventive Medicine Graduate School of Medicine, Osaka City University Osaka Japan.
Yuji NadataniDepartment of Premier Preventive Medicine Graduate School of Medicine, Osaka City University Osaka Japan.
Shingo TakashimaDepartment of Premier Preventive Medicine Graduate School of Medicine, Osaka City University Osaka Japan.
Atsushi HagiharaDepartment of Hepatology Graduate School of Medicine, Osaka City University Osaka Japan.
Sawako Uchida-KobayashiDepartment of Hepatology Graduate School of Medicine, Osaka City University Osaka Japan.
Akihiro TamoriDepartment of Hepatology Graduate School of Medicine, Osaka City University Osaka Japan.ORCID https://orcid.org/0000-0001-9119-4864
Naoki NishimotoDivision of Data Management, Division of Biostatistics Clinical Research and Medical Innovation Center, Hokkaido University Hospital Sapporo Japan.
Norifumi KawadaDepartment of Hepatology Graduate School of Medicine, Osaka City University Osaka Japan.
Osaka City University · JPSapporo Medical University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimThe Gut and Obesity in Asia Workgroup recently reported that a two-step approach using fibrosis scores followed by liver stiffness measurement (LSM) could accurately detect patients with non-alcoholic fatty liver disease (NAFLD) having advanced fibrosis in low-risk fibrosis populations. This study aimed to validate the utility of this approach using a Japanese health checkup registry.

methodsThis cross-sectional study included subjects who underwent a health checkup from 2014 to 2019. Using estimated fibrosis stage measured by LSM as a standard, we calculated the percentage of misclassification from assessments made based on fibrosis scores (NAFLD fibrosis score [NFS] or Fibrosis-4 score [FIB-4]) and LSM, alone or in combination.

resultsOf 630 subjects with NAFLD, 4 (0.8%) had advanced fibrosis. In the first-step evaluation, only 21.4-38.0% of subjects needed further testing. This approach was associated with a high specificity of approximately 100% and a negative predictive value of 99.7%. The percentage of misclassification based on NFS or FIB-4 values followed by LSM in all subjects and using LSM after NFS or FIB-4 determination only in subjects with indeterminate/high NFS or FIB-4 values (two-step approach) was 0% and 0.3% and 0.16% and 0.3%, respectively. In addition, very few false negatives occurred for both NFS and FIB-4.

conclusionThe two-step approach helps to identify the subjects with NAFLD who have advanced fibrosis during a routine health checkup and is associated with only a few false negatives.

Indexed as

hepatic fibrosisnon‐alcoholic fatty liver diseasenoninvasive fibrosis testtransient elastography

Identifiers

PMID34263075
PMCPMC8264241
OpenAlexW3170721842

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.