Evidence map›Paper›PMID 36307441›Full record

ArticleScientific reports2022

A 3-step approach to predict advanced fibrosis in nonalcoholic fatty liver disease: impact on diagnosis, patient burden, and medical costs.

Takashi Kobayashi, Yuji Ogawa, Satoru Shinoda, Michihiro Iwaki, Asako Nogami, Yasushi Honda, Takaomi Kessoku, Kento Imajo, Masato Yoneda, Satoru Saito and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

15 authors at 4 institutions in 1 country.

Takashi Kobayashi *Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Yuji Ogawa *Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Satoru ShinodaDepartment of Biostatistics, Yokohama City University School of Medicine, Yokohama, 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.
Kento ImajoDepartment 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. yoneda@yokohama-cu.ac.jp.
Satoru SaitoDepartment of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Kouji YamamotoDepartment of Biostatistics, Yokohama City University School of Medicine, Yokohama, Japan.
Satoshi OedaLiver Center, Saga University Hospital, Saga, Japan.
Hirokazu TakahashiLiver Center, Saga University Hospital, Saga, Japan.
Yoshio SumidaDivision of Hepatology and Pancreatology, Department of Internal Medicine, Aichi Medical University, Aichi, Japan.
Atsushi NakajimaDepartment of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Yokohama City University · JPSaga University · JPAichi Medical University · JPNational Hospital Organization · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 2-step approach, Fibrosis-4 index (FIB-4) followed by vibration-controlled transient elastography (VCTE), has been proposed to predict advanced fibrosis in patients with nonalcoholic fatty liver disease (NAFLD). We aimed to develop a novel 3-step approach for predicting advanced fibrosis. We enrolled 284 biopsy-confirmed NAFLD patients from two tertiary care centers and developed subgroups (n = 190), including 3.7% of patients with advanced fibrosis, assuming a primary care setting. In the 3-step approach, patients with intermediate-to-high FIB-4 in the first step underwent an enhanced liver fibrosis test or measurement of type IV collagen 7S domain as the second step, and VCTE was performed if the second step value was higher than the cutoff. In 284 cases, a tertiary care cohort with 36.3% advanced fibrosis, the 3-step approach showed significantly higher specificity and positive predictive value than the 2-step approach. In the subgroup with 3.7% advanced fibrosis, the 3-step approach significantly reduced the referral rate to specialists, the number of high-risk patients (i.e., liver biopsy candidates), and healthcare costs by 12.5% to 15.8%. The 3-step approach may improve the diagnostic performance to predict advanced fibrosis in NAFLD, which could lower rates of referrals to specialists, liver biopsies, and medical costs.

Indexed as

Elasticity Imaging TechniquesNon-alcoholic Fatty Liver DiseaseBiopsyFibrosisHumansLiverLiver CirrhosisPredictive Value of Tests

Identifiers

PMID36307441
PMCPMC9616882
OpenAlexW4307512274

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.