Evidence map›Paper›PMID 30783454›Full record

ArticleExperimental and therapeutic medicine2019

microRNA-1273g-3p is a useful non-invasive test for the prediction of liver fibrosis in patients with chronic hepatitis C.

Yuemin Nan, Xuemin Niu, Rongqi Wang, Suxian Zhao, Na Fu, Jinghua Du, Yang Wang, Baoyu Wang, Yuguo Zhang

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2019. 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
0.5field-weighted citation impact, top 31% 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, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Serum non-coding RNAs for diagnosis and stage of liver fibrosis.Journal of clinical laboratory analysis · 2022
    Review
  4. 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

9 authors at 2 institutions in 1 country.

Yuemin NanDepartment of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei 050051, P.R. China.
Xuemin NiuDepartment of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei 050051, P.R. China.
Rongqi WangDepartment of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei 050051, P.R. China.
Suxian ZhaoDepartment of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei 050051, P.R. China.
Na FuDepartment of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei 050051, P.R. China.
Jinghua DuDepartment of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei 050051, P.R. China.
Yang WangDepartment of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei 050051, P.R. China.
Baoyu WangDepartment of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei 050051, P.R. China.
Yuguo ZhangDepartment of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei 050051, P.R. China.
Third Hospital of Hebei Medical University · CNHebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies using microRNA (miRNA or miR) microarrays have demonstrated that miR-1273g-3p is upregulated in patients with hepatitis C virus (HCV)-associated fibrosis. As miRNAs have been suggested to be promising non-invasive biomarkers, the aim of the present study was to assess whether miR-1273g-3p may be useful as a potential indicator of fibrosis progression in patients with HCV. Liver biopsies were performed on 112 patients with chronic hepatitis C (CHC) and liver stiffness measurements (LSM) were performed using FibroTouch. Liver fibrosis was determined based on Meta-analysis of Histological Data in Viral Hepatitis classification, and the aspartate aminotransferase (AST)-to-platelet count (PLT) ratio index (APRI) and Fibrosis-4 score (FIB-4) were calculated. The diagnostic performance of miR-1273g-3p, LSM, APRI and FIB-4 in predicting fibrosis stage were evaluated and compared by receiver operating characteristic (ROC) analysis. It was demonstrated that miR-1273g-3p levels were significantly positively correlated with the liver fibrosis stage (r=0.657, P<0.001). The results of LSM, APRI and FIB-4, the three non-invasive diagnostic methods, had good consistency with liver biopsy results, and their correlation coefficients with fibrosis staging were 0.815, 0.417 and 0.522, respectively. The areas under the ROC curves of miR-1273g-3p for F≥2 and F=4 stage samples were 0.841 and 0.933, respectively, which were lower than LSM (0.890 and 0.937), and higher than FIB-4 (0.791 and 0.766) and APRI (0.719 and 0.760). Spearman analysis demonstrated that serum miR-1273g-3p levels were significantly positively correlated with age, body mass index, alanine aminotransferase, AST and total bilirubin (all P<0.05), and negatively correlated with PLT (P<0.05). However, no significant correlation was observed between miR-1273g-3p levels, baseline HCV RNA loads and genotype. Therefore, the results demonstrated that miR-1273g-3p levels, as a novel non-invasive test, may be a useful and easy method for predicting the stage of liver fibrosis in patients with CHC, and has a better diagnostic performance than FIB-4 and APRI. Further prospective studies are required to validate the efficacy of miR-1273g-3p as a predictor of liver fibrosis.

Indexed as

aspartate aminotransferase to platelet count ratio indexchronic hepatitis C virus infectionfibrosis-4 scorehepatic fibrosisliver stiffness measurementsmicroRNA-1273g-3p

Identifiers

PMID30783454
PMCPMC6364236
OpenAlexW2904924545

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.