Evidence map›Paper›PMID 36359492›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Serum Mac-2 Binding Protein Glycosylation Isomer to Predict the Severity of Hepatic Fibrosis in Patients with Hepatitis C Virus Infection.

Chen-Hua Liu, Chun-Jen Liu, Tung-Hung Su, Shang-Chin Huang, Tai-Chung Tseng, Jo-Hsuan Wu, Pei-Jer Chen, Jia-Horng Kao

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 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
–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
  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

8 authors.

Chen-Hua LiuDepartment of Internal Medicine, National Taiwan University Hospital, Taipei 100225, Taiwan.ORCID 0000-0003-3622-9707
Chun-Jen LiuDepartment of Internal Medicine, National Taiwan University Hospital, Taipei 100225, Taiwan.ORCID 0000-0002-6202-0993
Tung-Hung SuDepartment of Internal Medicine, National Taiwan University Hospital, Taipei 100225, Taiwan.
Shang-Chin HuangDepartment of Internal Medicine, National Taiwan University Hospital Bei-Hu Branch, Taipei 108206, Taiwan.
Tai-Chung TsengDepartment of Internal Medicine, National Taiwan University Hospital, Taipei 100225, Taiwan.
Jo-Hsuan WuHamilton Glaucoma Center, Shiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California, San Diego, CA 92039, USA.ORCID 0000-0002-9435-746X
Pei-Jer ChenDepartment of Internal Medicine, National Taiwan University Hospital, Taipei 100225, Taiwan.ORCID 0000-0001-8316-3785
Jia-Horng KaoDepartment of Internal Medicine, National Taiwan University Hospital, Taipei 100225, Taiwan.ORCID 0000-0002-2442-7952

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large-scale studies to assess the utility of the Mac-2 binding protein glycosylation isomer (M2BPGi) in predicting hepatic fibrosis in patients with hepatitis C virus (HCV) infection are limited. Serum M2BPGi level determination was performed in 1460 patients with HCV who received liver stiffness measurement (LSM) using transient elastography (TE). The correlation of LSM and grade of hepatic fibrosis as staged by TE with M2BPGi was assessed. Receiver operating characteristic (ROC) curves were constructed to evaluate the diagnostic power of M2BPGi for fibrosis stages of ≥F2, ≥F3, and F4. The selected M2BPGi cutoff values were chosen based on the maximal Youden index, a positive likelihood ratio (LR) ≥ 10, and a negative LR ≤ 0.1. Serum M2BPGi level was highly correlated with LSM (Pearson correlation coefficient: 0.567, p < 0.001) and hepatic fibrosis stage (Spearman’s rank correlation coefficient: 0.772, p < 0.001). The areas under ROC curves (AUROCs) of M2BPGi for ≥F2, ≥F3, and F4 were 0.865 (95% confidence interval [CI]: 0.846−0.884), 0.937 (95 % CI: 0.922−0.952), and 0.962 (95% CI: 0.951−0.972). The maximal Youden indices for ≥F2, ≥F3, and F4 were 1.72, 2.65, and 3.93. By selecting M2BPGi cutoff values with a positive LR ≥ 10 and a negative LR ≤ 0.1, clinicians were able to correctly discriminate F2, F3, and F4 in 69.1%, 77.8%, and 90.1% of patients. In conclusion, serum M2BPGi is a good diagnostic tool to predict the severity of hepatic fibrosis in patients with HCV infection.

Indexed as

hepatic fibrosishepatitis C virusliver stiffnessMac-2 binding protein glycosylation isomertransient elastography

Identifiers

PMID36359492
PMCPMC9689896

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.