Evidence map›Paper›PMID 25285167›Full record

ReviewTheranostics2014

MicroRNAs associated with HBV infection and HBV-related HCC.

Kun-Lin Xie, Yan-Ge Zhang, Jun Liu, Yong Zeng, Hong Wu

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Theranostics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 112 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  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 at 1 institution in 1 country.

Kun-Lin Xie1. The Department of Liver Surgery & Liver Transplantation Centre, West China Hospital, Sichuan University, Chengdu, 610041, China;
Yan-Ge Zhang2. The Department of Burns and Plastic Surgery, West China Hospital, Sichuan University, Chengdu, 610041, China;
Jun Liu3. The Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, 610041, China.
Yong Zeng1. The Department of Liver Surgery & Liver Transplantation Centre, West China Hospital, Sichuan University, Chengdu, 610041, China;
Hong Wu1. The Department of Liver Surgery & Liver Transplantation Centre, West China Hospital, Sichuan University, Chengdu, 610041, China;
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis B virus (HBV) infection is a global problem and a major risk factor for hepatocellular carcinoma (HCC). microRNAs (miRNAs) comprise a group of small noncoding RNAs regulating gene expression at the posttranslational level, thereby participating in fundamental biological processes, including cell proliferation, differentiation, and apoptosis. In this review, we summarize the roles of miRNAs in HBV infection, the recently identified mechanism underlying dysregulation of miRNAs in HBV-associated HCC, and their association with hepatocarcinogenesis. Moreover, we discuss the recent advances in the use of circulating miRNAs in the early diagnosis of HCC as well as therapies based on these aberrantly expressed miRNAs.

Indexed as

AnimalsCarcinoma, HepatocellularHepatitis BHepatitis B virusHumansLiver NeoplasmsMicroRNAsMicroRNAsDiagnosisHepatitis B virusHepatocellular carcinomaMicroRNATherapy.

Identifiers

PMID25285167
PMCPMC4183996
OpenAlexW2125050407

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.