Evidence map›Paper›PMID 28486931›Full record

ArticleBMC gastroenterology2017

Accuracy of M2BPGi, compared with Fibro Scan®, in analysis of liver fibrosis in patients with hepatitis C.

Hongqin Xu, Wenli Kong, Lei Liu, Xiumei Chi, Xiaomei Wang, Ruihong Wu, Xiuzhu Gao, Huan Wang, Limei Qu, Yue Qi and 2 more

Abstract read
In one paragraph

Article in BMC gastroenterology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Serum biomarkers for liver fibrosis assessment.Advances in laboratory medicine · 2024
    Review
  5. Advances in laboratory medicine · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

12 authors.

Hongqin XuDepartment of Hepatology, First Hospital of Jilin University, Jilin University, Changchun, 130021, China.
Wenli KongDepartment of Hepatology, First Hospital of Jilin University, Jilin University, Changchun, 130021, China.
Lei LiuDepartment of Hepatology, First Hospital of Jilin University, Jilin University, Changchun, 130021, China.
Xiumei ChiDepartment of Hepatology, First Hospital of Jilin University, Jilin University, Changchun, 130021, China.
Xiaomei WangDepartment of Hepatology, First Hospital of Jilin University, Jilin University, Changchun, 130021, China.
Ruihong WuDepartment of Hepatology, First Hospital of Jilin University, Jilin University, Changchun, 130021, China.
Xiuzhu GaoDepartment of Hepatology, First Hospital of Jilin University, Jilin University, Changchun, 130021, China.
Huan WangDepartment of Hepatology, First Hospital of Jilin University, Jilin University, Changchun, 130021, China.
Limei QuDepartment of Pathology, First Hospital of Jilin University, Jilin University, Changchun, 130021, China.
Yue QiDepartment of Hepatology, First Hospital of Jilin University, Jilin University, Changchun, 130021, China.
Yu PanDepartment of Hepatology, First Hospital of Jilin University, Jilin University, Changchun, 130021, China. yupan20000@163.com.ORCID http://orcid.org/0000-0003-4749-9438
Junqi NiuDepartment of Hepatology, First Hospital of Jilin University, Jilin University, Changchun, 130021, China. junqiniu@aliyun.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMac-2 Binding Protein Glycosylation isomer (M2BPGi) is a novel serological glyco-biomarker for staging liver fibrosis. Here, we aimed to evaluate the efficiency of serum M2BPGi in identifying liver fibrosis stages in Chinese patients with chronic hepatitis C infection.

methodsSerum M2BPGi levels were evaluated in 680 patients with chronic hepatitis C and 164 healthy controls who underwent the Fibro Scan® test of liver fibrosis. The diagnostic accuracy of serum M2BPGi values was compared to that of other fibrosis markers, including Fibro Scan®, the aspartate transaminase to platelet ratio index (APRI), the fibrosis index based on four factors (FIB4), and the gamma-glutamyltranspeptidase to platelet ratio (GPR).

resultsAmong the chronic hepatitis C patients, the median serum M2BPGi level increased with increasing fibrosis score as follows: 0.88 (≤F2), 1.70 (F2/F3), and 5.68 (cirrhosis). M2BPGi concentrations could also distinguish between healthy controls (0.38 ± 0.24) and hepatitis C patients (1.57 ± 2.28). After adjusting for potential confounders, M2BPGi was the most significant factor associated with the liver stiffness measurement (effect size = 0.275, P < 0.001). The optimum cutoff values of serum M2BPGi for patients with F2 and F4 were 0.945 and 1.355, respectively. The area under the curve of serum M2BPGi for prediction of significant fibrosis (F ≥ 4) using was comparable to that of APRI (0.892 vs. 0.873), while it was superior to that of other alternative markers, including FIB4 (0.818) and GPR (0.851). Compared with other non-invasive markers, M2BPGi had the greatest specificity for diagnosing cirrhosis and cirrhosis in hepatitis C patients.

conclusionsOur results suggest that the level of serum M2BPGi would be a simple and reliable diagnostic tool for identifying liver fibrosis stage in Chinese patients with chronic hepatitis.

Indexed as

AdultAgedAntigens, NeoplasmArea Under CurveAspartate AminotransferasesBiomarkersFemalegamma-GlutamyltransferaseGlycosylationHepatitis C, ChronicHumansLiver CirrhosisMaleMembrane GlycoproteinsMiddle AgedPlatelet CountAntigens, NeoplasmAspartate AminotransferasesBiomarkersgamma-GlutamyltransferaseMembrane GlycoproteinsTAA90K protein, humanChronic hepatitis CCirrhosisLiver fibrosisMac-2 Binding Protein Glycosylation isomer

Identifiers

PMID28486931
PMCPMC5424376

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.