Evidence map›Paper›PMID 27278244›Full record

ReviewOncology reports2016

Accuracy of novel diagnostic biomarkers for hepatocellular carcinoma: An update for clinicians (Review).

Patrick Reichl, Wolfgang Mikulits

Open access · hybridAbstract readReview
In one paragraph

Review in Oncology reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

36 citing papers in PubMed, 77 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Novel biomarkers for the management of chronic hepatitis B.Clinical and molecular hepatology · 2020
    Review
  16. Article
  17. Article
  18. Article
  19. [Hepatocellular carcinoma-derived exosomal miRNA expression and its clinical value].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2020
    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

2 authors at 2 institutions in 1 country.

Patrick ReichlDepartment of Medicine I, Institute of Cancer Research, Comprehensive Cancer Center, Medical University of Vienna, A-1090 Vienna, Austria.
Wolfgang MikulitsDepartment of Medicine I, Institute of Cancer Research, Comprehensive Cancer Center, Medical University of Vienna, A-1090 Vienna, Austria.
Comprehensive Cancer Center Vienna · ATMedical University of Vienna · AT

Funding

Austrian Science Fund FWF P 25356
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is the most common liver malignancy and a leading cause of cancer-related mortality worldwide. Accurate detection and differential diagnosis of early HCC can significantly improve patient survival. Currently, detection of HCC in clinical practice is performed by diagnostic imaging techniques and determination of serum biomarkers, most notably α-fetoprotein (AFP), fucosylated AFP and des-γ-carboxyprothrombin. However, these methods display limitations in sensitivity and specificity, especially with respect to early stages of HCC. Recently, high-throughput technologies have elucidated many new pathways involved in hepatocarcinogenesis and have led to the discovery of a plethora of novel, non-invasive serum biomarkers. In particular, the combination of AFP with these new candidate molecules has yielded promising results. In this review, we aimed at recapitulating the most recent (2013-2015) developments in HCC biomarker research. We compared promising novel diagnostic serum protein biomarkers, such as annexin A2, the soluble form of the receptor tyrosine kinase Axl and thioredoxin, as well as their combinations with AFP. High diagnostic performance (area under the curve >0.75) as shown by threshold-independent receiver operating characteristic curve analysis was a prerequisite for inclusion in this review. In addition, we discuss the role and potential of microRNAs in HCC diagnosis and associated methodological challenges.

Indexed as

AnimalsBiomarkers, TumorCarcinoma, HepatocellularDiagnostic ImagingHumansLiver NeoplasmsMicroRNAsROC CurveBiomarkers, TumorMicroRNAs

Identifiers

PMID27278244
PMCPMC4930874
OpenAlexW2415889824

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.