Evidence map›Paper›PMID 39130093›Full record

ArticleJGH open : an open access journal of gastroenterology and hepatology2024

Comparison of liver fibrosis scores and fatty liver on computed tomography as risk factors for severity of COVID-19.

Yuji Kamiya, Masahiro Shinoda, Naoki Ishii, Saki Yamamoto, Tetsuo Sekine, Miwa Morikawa, Shinichiro Ota, Mio Toyama-Kousaka, Hidenori Takahashi, Hiroaki Takei and 1 more

Abstract read
In one paragraph

Article in JGH open : an open access journal of gastroenterology and hepatology, 2024. 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
–field-weighted citation impact
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.

  1. Article
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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.

Yuji KamiyaDepartment of Endocrinology and Metabolism Tokyo Shinagawa Hospital Tokyo Japan.ORCID https://orcid.org/0009-0007-4569-7090
Masahiro ShinodaDepartment of Respiratory Medicine Tokyo Shinagawa Hospital Tokyo Japan.
Naoki IshiiDepartment of Gastroenterology Tokyo Shinagawa Hospital Tokyo Japan.
Saki YamamotoDepartment of Endocrinology and Metabolism Tokyo Shinagawa Hospital Tokyo Japan.
Tetsuo SekineDepartment of Endocrinology and Metabolism Tokyo Shinagawa Hospital Tokyo Japan.
Miwa MorikawaDepartment of Respiratory Medicine Tokyo Shinagawa Hospital Tokyo Japan.
Shinichiro OtaDepartment of Respiratory Medicine Tokyo Shinagawa Hospital Tokyo Japan.
Mio Toyama-KousakaDepartment of Respiratory Medicine Tokyo Shinagawa Hospital Tokyo Japan.
Hidenori TakahashiDepartment of Respiratory Medicine Tokyo Shinagawa Hospital Tokyo Japan.ORCID https://orcid.org/0000-0001-9781-258X
Hiroaki TakeiDepartment of Respiratory Medicine Tokyo Shinagawa Hospital Tokyo Japan.
Masaharu ShinkaiDepartment of Respiratory Medicine Tokyo Shinagawa Hospital Tokyo Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: Increased liver fibrosis scores (LFS), such as fibrosis-4 index (FIB-4) or non-alcoholic fatty liver disease fibrosis score (NFS), and fatty liver are known risk factors for severe coronavirus disease 2019 (COVID-19). The purpose of this study was to identify the best scores, which predict the prognosis of COVID-19. Methods: Participants comprised consecutive Japanese COVID-19 patients admitted to our hospital between February 14, 2020, and April 14, 2021. Multivariate logistic regression analysis was performed to evaluate the relationships between LFS (FIB-4, NFS, aspartate aminotransferase-to-platelet ratio index [APRI], BARD score, and hepatic steatosis index [HSI]) or fatty liver on computed tomography (CT), and severity of COVID-19. Results: Of the 415 patients (mean age, 59 years), 177 patients (42.7%) needed oxygen therapy, 90 patients (21.7%) worsened to severe COVID-19, and 45 patients (10.8%) died during admission. Multivariate logistic regression analysis showed that increased FIB-4 and NFS were risk factors for death, severe COVID-19, and oxygen demand; that increased BARD was a risk factor for severe COVID-19 and oxygen demand; and that increased APRI and HSI were not risk factors for any status of COVID-19. Furthermore, increased NFS or BARD and fatty liver were independent risk factors for severe COVID-19 and oxygen demand. Conclusions: This study showed that FIB-4 and NFS were the best liver fibrosis scores that predicted worse prognosis for COVID-19, and that increased NFS or BARD and fatty liver evident on CT represented independent risk factors for severe COVID-19 and oxygen demand.

Indexed as

COVID‐19fatty liverliver fibrosis scoresrisk factors

Identifiers

PMID39130093
PMCPMC11310555

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.