Evidence map›Paper›PMID 38560003›Full record

ArticleACS omega2024

Rapid Near-Patient Impedimetric Sensing Platform for Prostate Cancer Diagnosis.

Parisa Dehghani, Vaithinathan Karthikeyan, Ataollah Tajabadi, Dani S Assi, Anthony Catchpole, John Wadsworth, Hing Y Leung, Vellaisamy A L Roy

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2024. 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
1.6field-weighted citation impact, top 17% 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, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

8 authors at 3 institutions in 1 country.

Parisa DehghaniJames Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, U.K.ORCID https://orcid.org/0000-0001-6283-4236
Vaithinathan KarthikeyanJames Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, U.K.ORCID https://orcid.org/0000-0001-6734-8448
Ataollah TajabadiJames Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, U.K.
Dani S AssiJames Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, U.K.
Anthony CatchpoleScottish Trace Element and Micronutrient Diagnostic and Research Laboratory, Department of Biochemistry, Royal Infirmary, Glasgow G31 2ER, U.K.
John WadsworthScottish Trace Element and Micronutrient Diagnostic and Research Laboratory, Department of Biochemistry, Royal Infirmary, Glasgow G31 2ER, U.K.
Hing Y LeungSchool of Cancer Sciences, MVLS, University of Glasgow, Glasgow G61 1BD, U.K.
Vellaisamy A L RoySchool of Science and Technology, Hong Kong Metropolitan University, Ho Man Tin, Hong Kong.ORCID https://orcid.org/0000-0003-1432-9950
University of Glasgow · GBGlasgow Royal Infirmary · GBCancer Research UK · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the global escalation of concerns surrounding prostate cancer (PCa) diagnosis, reliance on the serologic prostate-specific antigen (PSA) test remains the primary approach. However, the imperative for early PCa diagnosis necessitates more effective, accurate, and rapid diagnostic point-of-care (POC) devices to enhance the result reliability and minimize disease-related complications. Among POC approaches, electrochemical biosensors, known for their amenability and miniaturization capabilities, have emerged as promising candidates. In this study, we developed an impedimetric sensing platform to detect urinary zinc (UZn) in both artificial and clinical urine samples. Our approach lies in integrating label-free impedimetric sensing and the introduction of porosity through surface modification techniques. Leveraging a cellulose acetate/reduced graphene oxide composite, our sensor's recognition layer is engineered to exhibit enhanced porosity, critical for improving the sensitivity, capture, and interaction with UZn. The sensitivity is further amplified by incorporating zincon as an external dopant, establishing highly effective recognition sites. Our sensor demonstrates a limit of detection of 7.33 ng/mL in the 0.1-1000 ng/mL dynamic range, which aligns with the reference benchmark samples from clinical biochemistry. Our sensor results are comparable with the results of inductively coupled plasma mass spectrometry (ICP-MS) where a notable correlation of 0.991 is achieved. To validate our sensor in a real-life scenario, tests were performed on human urine samples from patients being investigated for prostate cancer. Testing clinical urine samples using our sensing platform and ICP-MS produced highly comparable results. A linear correlation with

Identifiers

PMID38560003
PMCPMC10976404
OpenAlexW4392855318

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.