Evidence map›Paper›PMID 38311058›Full record

ArticleDiabetes & metabolism journal2024

A Composite Blood Biomarker Including AKR1B10 and Cytokeratin 18 for Progressive Types of Nonalcoholic Fatty Liver Disease.

Seung Joon Choi, Sungjin Yoon, Kyoung-Kon Kim, Doojin Kim, Hye Eun Lee, Kwang Gi Kim, Seung Kak Shin, Ie Byung Park, Seong Min Kim, Dae Ho Lee

Open access · goldAbstract read
In one paragraph

Article in Diabetes & metabolism journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

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

  1. Pooled it
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  3. A Comprehensive Review onPlants (Basel, Switzerland) · 2025
    Review
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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

10 authors at 1 institution in 1 country.

Seung Joon Choi *Department of Radiology, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.
Sungjin Yoon *Department of Radiology, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.
Kyoung-Kon KimDepartment of Family Medicine, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.
Doojin KimDepartment of Surgery, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.
Hye Eun LeeDepartment of Internal Medicine, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.
Kwang Gi KimDepartment of Biomedical Engineering, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.
Seung Kak ShinDepartment of Internal Medicine, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.
Ie Byung ParkDepartment of Internal Medicine, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.
Seong Min KimDepartment of Surgery, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.
Dae Ho LeeDepartment of Internal Medicine, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.
Gachon University Gil Medical Center · KR

Funding

Gachon University Gil Medical Center FRD2021-03Korea Health Industry Development InstituteMinistry of EducationMinistry of Health and Welfare HI14C1135Ministry of Science and ICTNational Research Foundation of Korea 2019R1I1A2A02062305National Research Foundation of Korea 2021R1A5A2030333
6 · The paper itself

Abstract

backgruoundWe aimed to evaluate whether composite blood biomarkers including aldo-keto reductase family 1 member B10 (AKR1B10) and cytokeratin 18 (CK-18; a nonalcoholic steatohepatitis [NASH] marker) have clinically applicable performance for the diagnosis of NASH, advanced liver fibrosis, and high-risk NASH (NASH+significant fibrosis).

methodsA total of 116 subjects including healthy control subjects and patients with biopsy-proven nonalcoholic fatty liver disease (NAFLD) were analyzed to assess composite blood-based and imaging-based biomarkers either singly or in combination.

resultsA composite blood biomarker comprised of AKR1B10, CK-18, aspartate aminotransferase (AST), and alanine aminotransferase (ALT) showed excellent performance for the diagnosis of, NASH, advanced fibrosis, and high-risk NASH, with area under the receiver operating characteristic curve values of 0.934 (95% confidence interval [CI], 0.888 to 0.981), 0.902 (95% CI, 0.832 to 0.971), and 0.918 (95% CI, 0.862 to 0.974), respectively. However, the performance of this blood composite biomarker was inferior to that various magnetic resonance (MR)-based composite biomarkers, such as proton density fat fraction/MR elastography- liver stiffness measurement (MRE-LSM)/ALT/AST for NASH, MRE-LSM+fibrosis-4 index for advanced fibrosis, and the known MR imaging-AST (MAST) score for high-risk NASH.

conclusionOur blood composite biomarker can be useful to distinguish progressive forms of NAFLD as an initial noninvasive test when MR-based tools are not available.

Indexed as

BiomarkersKeratin-18Non-alcoholic Fatty Liver DiseaseAdultAgedAlanine TransaminaseAldehyde ReductaseAldo-Keto ReductasesAspartate AminotransferasesCase-Control StudiesDisease ProgressionFemaleHumansLiverLiver CirrhosisMaleAKR1B10 protein, humanAlanine TransaminaseAldehyde ReductaseAldo-Keto ReductasesAspartate AminotransferasesBiomarkersKeratin-18KRT18 protein, humanAKR1B10 protein, humanBiomarkersKeratin-18Magnetic resonance imagingNon-alcoholic fatty liver disease

Identifiers

PMID38311058
PMCPMC11307119
OpenAlexW4392735470

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.