Evidence map›Paper›PMID 29029522›Full record

ArticleOncotarget2017

Circulating miRNAs as novel diagnostic biomarkers in hepatocellular carcinoma detection: a meta-analysis based on 24 articles.

Yan Ding, Jia-Lai Yan, An-Ning Fang, Wei-Feng Zhou, Ling Huang

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. BiomarkersWorld journal of clinical cases · 2019
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. The Epigenetic Regulation of HCC Metastasis.International journal of molecular sciences · 2018
    Review
  14. Article
  15. Article
  16. Liquid biopsies for hepatocellular carcinoma.Translational research : the journal of laboratory and clinical medicine · 2018
    Review
  17. Article
  18. Expression Analysis of Serum microRNA-34a and microRNA-183 in Hepatocellular CarcinomaAsian Pacific journal of cancer prevention : APJCP · 2018
    Article
  19. Review
  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

5 authors.

Yan DingClinical Laboratory, The Second Affiliated Hospital of Southeast University, Nanjing, Jiangsu, China.
Jia-Lai YanDepartment of Medical Technology, Anhui Medical College, Hefei, Anhui, China.
An-Ning FangDepartment of Basic Medicine, Anhui Medical College, Hefei, Anhui, China.
Wei-Feng ZhouDepartment of Clinical Medicine, Anhui Medical College, Hefei, Anhui, China.
Ling HuangClinical Laboratory, The Second Affiliated Hospital of Southeast University, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnostic value and suitability of circulating miRNAs for the detection of hepatocellular carcinoma have been inconsistent in the literature. A meta-analysis is used to systematically evaluate the diagnostic value of circulating miRNAs. Eligible studies were selected and the heterogeneity was assessed by subgroup analysis, meta-regression, and publication bias. After strictly and comprehensive screening, the source methods, internal reference and the cut-off values of the included miRNAs were first listed. Circulating miRNAs demonstrated a relatively good diagnostic value in hepatocellular carcinoma, In the subgroup analysis, diagnosis odds ratio showed a higher accuracy with multiple miRNAs than with a single miRNA as well as with serum types than plasma types. In addition, although miRNAs have many expression patterns, the high frequency expression miRNAs (miR-21, miR-199 and miR-122) might be more specific for the diagnosis of hepatocellular carcinoma.The sources of heterogeneity might be related to the number of miRNAs and the specimen types in meta-regression. Furthermore, it's surprised that the pooled studies were first demonstrated publication bias (

Indexed as

circulating miRNAsdiagnosishepatocellular carcinomameta-analysisROC

Identifiers

PMID29029522
PMCPMC5630422

What OpenQuestion holds

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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.