Evidence map›Paper›PMID 28750488›Full record

ArticleGut and liver2017

Serum MicroRNA Levels as a Noninvasive Diagnostic Biomarker for the Early Diagnosis of Hepatitis B Virus-Related Liver Fibrosis.

Suxia Bao, Jianming Zheng, Ning Li, Chong Huang, Mingquan Chen, Qi Cheng, Kangkang Yu, Shengshen Chen, Mengqi Zhu, Guangfeng Shi

Open access · diamondAbstract readEvaluation Study
In one paragraph

Article in Gut and liver, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

29 citing papers in PubMed, 45 citations in OpenAlex.

  1. Review
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  9. Article
  10. Serum non-coding RNAs for diagnosis and stage of liver fibrosis.Journal of clinical laboratory analysis · 2022
    Review
  11. Article
  12. Review
  13. Identification of Liver and Plasma microRNAs in Chronic Hepatitis B Virus infection.Frontiers in cellular and infection microbiology · 2022
    Article
  14. Review
  15. Review
  16. Review
  17. Article
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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 2 institutions in 1 country.

Suxia BaoDepartment of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.
Jianming ZhengDepartment of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.
Ning LiDepartment of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.
Chong HuangDepartment of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.
Mingquan ChenDepartment of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.
Qi ChengDepartment of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.
Kangkang YuDepartment of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.
Shengshen ChenDepartment of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.
Mengqi ZhuDepartment of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.
Guangfeng ShiDepartment of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.
Fudan University · CNHuashan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsTo investigate the role of selected serum microRNA (miRNA) levels as potential noninvasive biomarkers for differentiating S0-S2 (early fibrosis) from S3-S4 (late fibrosis) in patients with a chronic hepatitis B virus (HBV) infection.

methodsOne hundred twenty-three treatment-naive patients with a chronic HBV infection who underwent a liver biopsy were enrolled in this study. The levels of selected miRNAs were measured using a real-time quantitative polymerase chain reaction assay. A logistic regression analysis was performed to assess factors associated with fibrosis progression. Receiver operating characteristic (ROC) curve and discriminant analyses validated these the ability of these predicted variables to discriminate S0-S2 from S3-S4.

resultsSerum miR-29, miR-143, miR-223, miR-21, and miR-374 levels were significantly downregulated as fibrosis progressed from S0-S2 to S3-S4 (p<0.05), but not miR-16. The multivariate logistic regression analysis identified a panel of three miRNAs and platelets that were associated with a high diagnostic accuracy in discriminating S0-S2 from S3-S4, with an area under the curve of 0.936.

conclusionsThe levels of the studied miRNAs, with the exception of miR-16, varied with fibrosis progression. A panel was identified that was capable of discriminating S0-S2 from S3-S4, indicating that serum miRNA levels could serve as a potential noninvasive biomarker of fibrosis progression.

Indexed as

AdultBiomarkersDisease ProgressionEarly DiagnosisFemaleHepatitis B, ChronicHepatitis B virusHumansLiver CirrhosisLogistic ModelsMaleMicroRNAsMiddle AgedMultivariate AnalysisRNA, ViralROC CurveBiomarkersMicroRNAsRNA, ViralBiomarkerschronicHepatitis BHepatitis B virusLiver fibrosisMicroRNAs

Identifiers

PMID28750488
PMCPMC5669603
OpenAlexW2740165875

What OpenQuestion holds

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LicenceCC BY-NC
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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.