Evidence map›Paper›PMID 32382558›Full record

Trial reportBioMed research international2020

Serum miR-375 Levels Are Closely Related to Disease Progression from HBV Infection to HBV-Related Hepatocellular Carcinoma.

Weilu Zhang, Ting Fu, Zhenjun Guo, Ye Zhang, Lei Zhang, Haixia Su, Yong Long, Zhaohua Ji, Yongping Yan, Zhongjun Shao

Open access · hybridAbstract readClinical Trial
In one paragraph

Trial report in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 30% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

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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 3 institutions in 2 countries.

Weilu ZhangDepartment of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, The Air Force Medical University, No. 17, Changle West RD, Xi'an 710032, China.
Ting FuDepartment of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, The Air Force Medical University, No. 17, Changle West RD, Xi'an 710032, China.
Zhenjun GuoShaanxi Provincial People's Hospital, No. 256, Youyi West RD, Xi'an 710068, China.
Ye ZhangCenter for Infectious Diseases, Tangdu Hospital, Air Force Medical University, 569 Xinsi Rd, Xi'an 710032, China.
Lei ZhangDepartment of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, The Air Force Medical University, No. 17, Changle West RD, Xi'an 710032, China.
Haixia SuDepartment of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, The Air Force Medical University, No. 17, Changle West RD, Xi'an 710032, China.
Yong LongDepartment of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, The Air Force Medical University, No. 17, Changle West RD, Xi'an 710032, China.
Zhaohua JiDepartment of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, The Air Force Medical University, No. 17, Changle West RD, Xi'an 710032, China.
Yongping YanDepartment of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, The Air Force Medical University, No. 17, Changle West RD, Xi'an 710032, China.ORCID https://orcid.org/0000-0001-9393-1530
Zhongjun ShaoDepartment of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, The Air Force Medical University, No. 17, Changle West RD, Xi'an 710032, China.ORCID https://orcid.org/0000-0002-3236-3629
Ministry of Education · ROShanxi Medical University · CNTang Du Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is an urgent need to identify ideal serological biomarkers that not only are closely related to disease progression from hepatitis B virus (HBV) infection to hepatocellular carcinoma (HCC) but also have high specificity and sensitivity. We conducted this study to analyze whether miR-375 has a potential value in the early prediction of the progression from HBV-related hepatitis or cirrhosis to HCC.

methodsA total of 177 participants were enrolled. Receiver operating characteristic (ROC) curve was used to evaluate the predictive capability of selected miR-375 for HBV-HCC. We upregulated the miR-375 expression in HepG2, HepG2.2.15, and HepAD38 cells to determine its effect on cellular proliferation and migration, in vitro using Cell Counting Kit-8 (CCK-8) assays.

resultsSerum miR-375 levels decreased in order from healthy controls to chronic hepatitis B (CHB) without cirrhosis, followed by cirrhosis, and finally, HBV-HCC patients. miR-375 levels were significantly lower in HBeAg-positive and HBV DNA-positive patients than negative (

conclusionsSerum miR-375 levels are closely related to disease progression from HBV-related hepatitis or cirrhosis to HCC.

Indexed as

AdultCarcinoma, HepatocellularDisease ProgressionFemaleHepatitis BHepatitis B virusHep G2 CellsHumansLiver NeoplasmsMaleMicroRNAsMiddle AgedRNA, NeoplasmMicroRNAsMIRN375 microRNA, humanRNA, Neoplasm

Identifiers

PMID32382558
PMCPMC7191443
OpenAlexW3019619469

What OpenQuestion holds

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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.