Evidence map›Paper›PMID 37830899›Full record

ReviewACS sensors2023

Point-of-Care Prostate Specific Antigen Testing: Examining Translational Progress toward Clinical Implementation.

Saweta Garg, Ashwin Sachdeva, Marloes Peeters, Jake McClements

Abstract readReview
In one paragraph

Review in ACS sensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. FeMikrochimica acta · 2026
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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

4 authors.

Saweta GargMerz Court, School of Engineering, Newcastle University, Claremont Road, NE1 7RU Newcastle upon Tyne, U.K.
Ashwin SachdevaDivision of Cancer Sciences, University of Manchester, Wilmslow Road, Manchester M20 4BX, U.K.
Marloes PeetersMerz Court, School of Engineering, Newcastle University, Claremont Road, NE1 7RU Newcastle upon Tyne, U.K.
Jake McClementsMerz Court, School of Engineering, Newcastle University, Claremont Road, NE1 7RU Newcastle upon Tyne, U.K.ORCID 0000-0003-2748-9945

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is the second most common male cancer and is attributable to over 375,000 deaths annually. Prostate specific antigen (PSA) is a key biomarker for PCa and therefore measuring patient PSA levels is an important aspect of the diagnostic pathway. Automated immunoassays are currently utilized for PSA analysis, but they require a laboratory setting with specialized equipment and trained personnel. This results in high diagnostic costs, extended therapeutic turnaround times, and restrictions on testing capabilities in resource-limited settings. Consequently, there is a strong drive to develop point-of-care (PoC) PSA tests that can offer accurate, low-cost, and rapid results at the time and place of the patient. However, many emerging PoC tests experience a trade-off between accuracy, affordability, and accessibility which distinctly limits their translational potential. This review comprehensively assesses the translational advantages and limitations of emerging laboratory-level and commercial PoC tests for PSA determination. Electrochemical and optical PSA sensors from 2013 to 2023 are systematically examined. Furthermore, we suggest how the translational potential of emerging tests can be optimized to achieve clinical implementation and thus improve PCa diagnosis globally.

Indexed as

Prostate-Specific AntigenProstatic NeoplasmsBiomarkersHumansMalePoint-of-Care SystemsPoint-of-Care TestingBiomarkersProstate-Specific Antigenbiosensorselectrochemical detectionhealthcare devicesoptical detectionpoint-of-care testingprostate cancerprostate specific antigentranslational progression

Identifiers

PMID37830899
PMCPMC10616866

What OpenQuestion holds

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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.