Evidence map›Paper›PMID 34347247›Full record

ReviewJournal of gastrointestinal cancer2021

State-of-the-art Hepatocellular Carcinoma Biomarker Detection by Biosensor Technology-a Review.

Zihni Onur Uygun

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of gastrointestinal cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Review
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

1 author.

Zihni Onur UygunFaculty of Medicine, Department of Medical Biochemistry, Kafkas University, Kars, 36100, Turkey. onur_uygun@hotmail.com.ORCID http://orcid.org/0000-0001-9045-7271

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biosensors have become a very interesting field in recent years, thanks to their potential to be converted into self-diagnostic technologies. Being able to analyze a biomarker with different biosensor systems has great potential. This potential is important in terms of time, cost, and practicality with its use in the analysis of difficult-to-diagnose diseases in clinical studies. In this review, the biosensors used in the determination of hepatocellular carcinoma (HCC) biomarkers were compiled. Electrochemical, optical, and piezoelectric biosensors used in the analysis of proteins, DNA, RNA, and cells with varying concentrations in HCC can be designed based on antibodies, nanocomposites, DNA, and aptamers.

Indexed as

Biomarkers, TumorBiosensing TechniquesCarcinoma, HepatocellularHumansLiver NeoplasmsTechnologyBiomarkers, TumorBiorecognition receptorBiosensorHepatocellular carcinomaLiquid biopsy

Identifiers

PMID34347247

What OpenQuestion holds

Textmetadata
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.