Evidence map›Paper›PMID 37112447›Full record

ReviewSensors (Basel, Switzerland)2023

Electrochemical and Photoelectrochemical Immunosensors for the Detection of Ovarian Cancer Biomarkers.

Ezinne U Ekwujuru, Abimbola M Olatunde, Michael J Klink, Cornelius C Ssemakalu, Muntuwenkosi M Chili, Moses G Peleyeju

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

6 authors at 2 institutions in 2 countries.

Ezinne U EkwujuruDepartment of Biotechnology and Chemistry, Vaal University of Technology, Vanderbijlpark 1911, South Africa.
Abimbola M OlatundeDepartment of Chemistry, University of Ibadan, Ibadan 200284, Nigeria.
Michael J KlinkDepartment of Biotechnology and Chemistry, Vaal University of Technology, Vanderbijlpark 1911, South Africa.ORCID 0000-0002-9131-6312
Cornelius C SsemakaluDepartment of Biotechnology and Chemistry, Vaal University of Technology, Vanderbijlpark 1911, South Africa.ORCID 0000-0003-3895-2018
Muntuwenkosi M ChiliDepartment of Biotechnology and Chemistry, Vaal University of Technology, Vanderbijlpark 1911, South Africa.ORCID 0000-0001-5001-2999
Moses G PeleyejuDepartment of Biotechnology and Chemistry, Vaal University of Technology, Vanderbijlpark 1911, South Africa.
Vaal University of Technology · ZAUniversity of Ibadan · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photoelectrochemical (PEC) sensing is an emerging technological innovation for monitoring small substances/molecules in biological or non-biological systems. In particular, there has been a surge of interest in developing PEC devices for determining molecules of clinical significance. This is especially the case for molecules that are markers for serious and deadly medical conditions. The increased interest in PEC sensors to monitor such biomarkers can be attributed to the many apparent advantages of the PEC system, including an enhanced measurable signal, high potential for miniaturization, rapid testing, and low cost, amongst others. The growing number of published research reports on the subject calls for a comprehensive review of the various findings. This article is a review of studies on electrochemical (EC) and PEC sensors for ovarian cancer biomarkers in the last seven years (2016-2022). EC sensors were included because PEC is an improved EC; and a comparison of both systems has, expectedly, been carried out in many studies. Specific attention was given to the different markers of ovarian cancer and the EC/PEC sensing platforms developed for their detection/quantification. Relevant articles were sourced from the following databases: Scopus, PubMed Central, Web of Science, Science Direct, Academic Search Complete, EBSCO, CORE, Directory of open Access Journals (DOAJ), Public Library of Science (PLOS), BioMed Central (BMC), Semantic Scholar, Research Gate, SciELO, Wiley Online Library, Elsevier and SpringerLink.

Indexed as

Biosensing TechniquesOvarian NeoplasmsBiomarkers, TumorElectrochemical TechniquesFemaleHumansImmunoassayLimit of DetectionBiomarkers, Tumorcancer biomarkerselectrochemical sensingovarian cancerphotoelectrochemical immunosensors

Identifiers

PMID37112447
PMCPMC10142013
OpenAlexW4366587356

What Socratic 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 Socratic graph.