Evidence map›Paper›PMID 36551009›Full record

ArticleBioengineering (Basel, Switzerland)2022

A Highly Sensitive Urinary Exosomal miRNAs Biosensor Applied to Evaluation of Prostate Cancer Progression.

Yueh-Er Chiou, Kai-Jie Yu, Sow-Neng Pang, Yan-Lin Yang, See-Tong Pang, Wen-Hui Weng

Open access · goldAbstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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  7. Women in Biosensors Science.Bioengineering (Basel, Switzerland) · 2023
    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

6 authors at 3 institutions in 2 countries.

Yueh-Er ChiouDepartment of Nursing, College of Medicine, Fu Jen Catholic University, New Taipei City 242, Taiwan.
Kai-Jie YuDepartment of Chemical Engineering and Biotechnology and Graduate Institute of Biochemical and Biomedical Engineering, National Taipei University of Technology, Taipei City 106, Taiwan.
Sow-Neng PangDepartment of Emergency Medicine, Monash Medical Centre, Melbourne, VIC 3083, Australia.
Yan-Lin YangDepartment of Chemical Engineering and Biotechnology and Graduate Institute of Biochemical and Biomedical Engineering, National Taipei University of Technology, Taipei City 106, Taiwan.
See-Tong PangDivision of Urology, Department of Surgery, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan.ORCID 0000-0002-2064-0828
Wen-Hui WengDepartment of Chemical Engineering and Biotechnology and Graduate Institute of Biochemical and Biomedical Engineering, National Taipei University of Technology, Taipei City 106, Taiwan.ORCID 0000-0002-6021-0451
National Taipei University of Technology · TWMonash Medical Centre · AUFu Jen Catholic University · TW

Funding

Ministry of Science and Technology MOST 110-2637-E-027-003-National Taipei University of Technology NTUT-CGMH-109-03
6 · The paper itself

Abstract

Prostate cancer is the most common cancer in the male population, carrying a significant disease burden. PSA is a widely available screening tools for this disease. Current screen-printed carbon electrode (SPCE)-based biosensors use a two-pronged probe approach to capture urinary miRNA. We were able to successfully detect specific exosomal miRNAs (exomiRs) in the urine of patients with prostate cancer, including exomiR-451 and exomiR-21, and used electrochemistry for measurement and analysis. Our results significantly reaffirmed the presence of exomiR-451 in urine and that a CV value higher than 220 nA is capable of identifying the presence of disease (

Indexed as

biosensormicroRNAprostate cancerSPCE

Identifiers

PMID36551009
PMCPMC9774101
OpenAlexW4311794135

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.