Evidence map›Paper›PMID 35562658›Full record

ArticleBMC gastroenterology2022

Distribution of FIB-4 index in the general population: analysis of 75,666 residents who underwent health checkups.

Aya Sugiyama, Akemi Kurisu, Bunthen E, Serge Ouoba, Ko Ko, Anvarjon Rakhimov, Tomoyuki Akita, Takayuki Harakawa, Toru Sako, Makoto Koshiyama and 2 more

Open 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. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
7.9field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 52 citations in OpenAlex.

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  12. Usefulness of the Fibrosis-3 index in patients with hepatitis C.Annals of medicine and surgery (2012) · 2025
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  14. Response.Canadian family physician Medecin de famille canadien · 2025
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  20. Review
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

12 authors at 2 institutions in 3 countries.

Aya SugiyamaDepartment of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
Akemi KurisuDepartment of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
Bunthen EDepartment of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
Serge OuobaDepartment of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
Ko KoDepartment of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
Anvarjon RakhimovDepartment of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
Tomoyuki AkitaDepartment of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
Takayuki HarakawaGeneral Affairs, Foundation for Community Health and Medicine Promotion in Hiroshima Prefecture, Hiroshima, Japan.
Toru SakoGeneral Affairs, Foundation for Community Health and Medicine Promotion in Hiroshima Prefecture, Hiroshima, Japan.
Makoto KoshiyamaIwate Prefectural Preventive Medicine Association, Iwate, Japan.
Takashi KumadaDepartment of Nursing, Faculty of Nursing, Gifu Kyoritsu University, Ogaki, Gifu, Japan.
Junko TanakaDepartment of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8551, Japan. jun-tanaka@hiroshima-u.ac.jp.ORCID http://orcid.org/0000-0002-5669-4051
Hiroshima University · JPGifu Kyoritsu University · JP

Funding

Japan Agency for Medical Research and Development JP20fk0210040JSPS KAKENHI Grant-in-Aid for Scientific Research B JP19H03886Ministry of Health, Labour and Welfare JPMH19HC1001
6 · The paper itself

Abstract

backgroundFatty liver is frequently found in a general population, and it is critical to detect advanced fibrosis. FIB-4 index is considered a useful marker for evaluating liver fibrosis but the distribution of FIB-4 index in the general population remains unknown.

methodsThis cross-sectional study included residents who underwent ultrasonography at health checkups in Hiroshima or Iwate prefectures. The distribution of FIB-4 index in the total study population (N = 75,666) as well as in non-alcoholic fatty liver disease (NAFLD) populations (N = 17,968) and non-drinkers without fatty liver populations (N = 47,222) was evaluated. The distribution of aspartate aminotransferase (AST) levels, alanine aminotransferase (ALT) levels was also evaluated.

resultsThe mean FIB-4 index in the total study population was 1.20 ± 0.63. FIB-4 index ≥ 2.67, which indicates a high risk of liver fibrosis, was found in 16.4% of those aged ≥ 70 years. In the NAFLD population, 58.1% of those in their 60 s and 88.1% of those ≥ 70 years met the criteria for referral to hepatologists by using the recommended FIB-4 index cutoff value (≥ 1.3). The mean FIB-4 index in the NAFLD population (1.12 ± 0.58) was significantly lower than in the non-drinkers without fatty liver (1.23 ± 0.63, p < 0.0001). The non-drinkers without fatty liver tended to have higher AST relative to ALT levels (60.0% with AST/ALT > 1.0), whereas the results in the NAFLD population were opposite (14.8% with AST/ALT > 1.0). AST > ALT resulted in a higher FIB-4 index in non-drinkers without fatty liver due to the nature of FIB-4 index formula.

conclusionsThe cutoff value of FIB-4 index (≥ 1.3) for triaging the elderly people with fatty liver for referral to hepatologists should be reconsidered to avoid over-referral. Due to the impact of age and characteristics of AST/ALT ratios, there is no prospect of using FIB-4 index for primary screening for liver fibrosis in a general population of unknown presence or absence of liver disease, even though it can be easily calculated using routine clinical indices. It is desired to develop a non-invasive method for picking up cases with advanced fibrosis latent in the general population.

Indexed as

Non-alcoholic Fatty Liver DiseaseAgedBiopsyCross-Sectional StudiesFibrosisHumansLiver CirrhosisAge effectAlanine aminotransferaseAspartate aminotransferaseFatty liverIndirect biomarkerJapanLiver fibrosisNon-alcoholic fatty liver diseaseScoring systemUltrasonography

Identifiers

PMID35562658
PMCPMC9101936
OpenAlexW4280490549

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.