Evidence map›Paper›PMID 37574956›Full record

ArticleGut and liver2024

Proposal of a Novel Serological Algorithm Combining FIB-4 and Serum M2BPGi for Advanced Fibrosis in Nonalcoholic Fatty Liver Disease.

Sang Yi Moon, Yang Hyun Baek, Se Young Jang, Dae Won Jun, Ki Tae Yoon, Young Youn Cho, Hoon Gil Jo, Ae Jeong Jo

Open access · diamondAbstract read
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Article in Gut and liver, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 7 institutions in 1 country.

Sang Yi MoonDepartment of Internal Medicine, Dong-A University College of Medicine, Busan, Korea.ORCID 0000-0002-8929-9250
Yang Hyun BaekDepartment of Internal Medicine, Dong-A University College of Medicine, Busan, Korea.ORCID 0000-0002-9073-9233
Se Young JangDepartment of Internal Medicine, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, Korea.ORCID 0000-0001-9148-9670
Dae Won JunDepartment of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea.ORCID 0000-0002-2875-6139
Ki Tae YoonDepartment of Internal Medicine, Pusan National University College of Medicine, Yangsan, Korea.ORCID 0000-0002-8580-0239
Young Youn ChoDepartment of Internal Medicine, Chung-Ang University Hospital, Seoul, Korea.ORCID 0000-0002-9384-5357
Hoon Gil JoDivision of Gastroenterology, Department of Internal Medicine, Wonkwang University Hospital, Wonkwang University College of Medicine, Iksan, Korea.ORCID 0000-0002-0947-7185
Ae Jeong JoDepartment of Information Statistics, Andong National University, Andong, Korea.ORCID 0000-0003-1228-7021
Dong-A University · KRChung-Ang University Hospital · KRGyeongguk National University · KRHanyang University · KRKyungpook National University Hospital · KRPusan National University Yangsan Hospital · KRWonkwang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Aims: Noninvasive methods have become increasingly critical in the diagnosis of fibrosis in chronic liver diseases. Herein, we compared the diagnostic performance of serum Mac2 binding protein glycosylation isomer (M2BPGi) and other serological panels for fibrosis in patients with nonalcoholic fatty liver disease (NAFLD) and proposed an improved two-step diagnostic algorithm for advanced fibrosis. Methods: We enrolled 231 patients diagnosed with NAFLD who underwent a liver biopsy. We subsequently evaluated the diagnostic performance of serological panels, including serum M2BPGi, a fibrosis index based on four factors (FIB-4), aspartate aminotransferase-to-platelet ratio index (APRI), and NAFLD fibrosis score (NFS), in predicting the stage of liver fibrosis. We then constructed a two-step algorithm to better differentiate advanced fibrosis. Results: The areas under the receiver operating characteristic curves of serum M2BPGi, FIB-4, APRI, and NFS for advanced fibrosis (≥F3) were 0.823, 0.858, 0.779, and 0.827, respectively. To reduce the performance of unnecessary liver biopsy, we propose a two-step algorithm using FIB-4 as an initial diagnostic tool and serum M2BPGi (≥0.6) as an additional diagnostic method for patients classified as intermediate (23%). Using the proposed algorithm, the sensitivity, specificity, accuracy, positive predictive value, and negative predictive value were 0.812, 0.814, 0.814, 0.600, and 0.927, respectively. Conclusions: Serum M2BPGi is a simple and effective test for advanced fibrosis in patients with NAFLD. Application of the two-step algorithm based on FIB-4 and M2BPGi proposed here can improve diagnostic performance and reduce unnecessary tests, making diagnosis easily accessible, especially in primary medical centers.

Indexed as

Non-alcoholic Fatty Liver DiseaseAspartate AminotransferasesBiomarkersBiopsyGlycosylationHumansLiverLiver CirrhosisLiver Function TestsPredictive Value of TestsROC CurveAspartate AminotransferasesBiomarkersLiver fibrosisMac-2 binding protein glycosylation isomerNon-alcoholic fatty liver disease

Identifiers

PMID37574956
PMCPMC10938160
OpenAlexW4385798084

What Socratic holds

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LicenceCC BY-NC
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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.