Evidence map›Paper›PMID 32344622›Full record

ArticleSensors (Basel, Switzerland)2020

Fast Screening of Whole Blood and Tumor Tissue for Bladder Cancer Biomarkers Using Stochastic Needle Sensors.

Raluca-Ioana Stefan-van Staden, Damaris-Cristina Gheorghe, Viorel Jinga, Cristian Sorin Sima, Marius Geanta

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

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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 2 institutions in 1 country.

Raluca-Ioana Stefan-van StadenLaboratory of Electrochemistry and PATLAB, National Institute of Research for Electrochemistry and Condensed Matter, 202 Splaiul Independentei Street, 060021 Bucharest-6, Romania.ORCID 0000-0001-8244-2483
Damaris-Cristina GheorgheLaboratory of Electrochemistry and PATLAB, National Institute of Research for Electrochemistry and Condensed Matter, 202 Splaiul Independentei Street, 060021 Bucharest-6, Romania.
Viorel JingaFaculty of Medicine, University of Medicine and Pharmacy "Carol Davila", 050474 Bucharest, Romania.
Cristian Sorin SimaFaculty of Medicine, University of Medicine and Pharmacy "Carol Davila", 050474 Bucharest, Romania.
Marius GeantaFaculty of Medicine, University of Medicine and Pharmacy "Carol Davila", 050474 Bucharest, Romania.
Carol Davila University of Medicine and Pharmacy · RONational Institute of Research and Development for Electrochemistry and Condensed · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder cancer is one of the most common urologic malignancies, which is more frequent in men than in women. The early diagnosis for this type of cancer still remains a challenge, therefore, the development of a fast screening test for whole blood and tumor tissue samples may save lives. Four biomarkers, p53, E-cadherin, bladder tumor antigen (BTA), and hyaluronic acid were considered for the screening tests using stochastic needle sensors. Three stochastic needle sensors, based on graphite powder and modified with three types of chitosan, were designed and characterized for the screening test. The proposed sensors showed low limits of quantification, and high sensitivity and selectivity levels. The recoveries of p53, E-cadherin, BTA, and hyaluronic acid in whole blood samples and tissue samples were higher than 95.00% with a relative standard deviation lower than 1.00%.

Indexed as

NeedlesAntigens, NeoplasmBiomarkers, TumorBiosensing TechniquesCadherinsChitosanHumansHyaluronic AcidUrinary BladderUrinary Bladder NeoplasmsAntigens, NeoplasmBiomarkers, Tumorbladder tumor-associated antigenCadherinsChitosanHyaluronic Acidbladder cancerbladder tumor antigenE-cadherinhyaluronic acidp53stochastic needle sensor

Identifiers

PMID32344622
PMCPMC7219496
OpenAlexW3017421977

What OpenQuestion holds

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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.