Evidence map›Paper›PMID 40322246›Full record

ArticleNpj biosensing2025

A passive blood separation sensing platform for point-of-care devices.

Cameron Gilroy, Callum D Silver, Casper Kunstmann-Olsen, Lisa M Miller, Steven D Johnson, Thomas F Krauss

Abstract read
In one paragraph

Article in Npj biosensing, 2025. 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
–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

5 citing papers in PubMed.

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

Cameron GilroyHull York Medical School, Siwards Way, University of York, Heslington, York UK.ORCID 0000-0001-6106-3185
Callum D SilverSchool of Physics and Technology, University of York, Heslington, York UK.ORCID 0000-0003-4490-3650
Casper Kunstmann-OlsenSchool of Physics and Technology, University of York, Heslington, York UK.ORCID 0000-0002-6816-2108
Lisa M MillerSchool of Physics and Technology, University of York, Heslington, York UK.ORCID 0000-0003-3667-3840
Steven D JohnsonSchool of Physics and Technology, University of York, Heslington, York UK.ORCID 0000-0002-1786-3182
Thomas F KraussSchool of Physics and Technology, University of York, Heslington, York UK.ORCID 0000-0003-4367-6601

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The blood test is one of the most performed investigations in clinical practice, with samples typically analysed in a centralised laboratory. Many of these tests monitor routine conditions that would benefit from a point-of-care approach, reducing the burden on practitioners, patients and healthcare systems. Such a decentralised model requires the development of sophisticated, yet easy-to-use technology; however, platforms that combine high-performance with low-cost and simplicity remain scarce. Moreover, most research papers only address a subset of requirements and study specific aspects in isolation. A systems approach that considers the interplay between each element of the technology is clearly required to develop a coherent solution. Here, we present such a systems approach in the context of testing for C-reactive protein (CRP), a commonly requested test in clinical practise that indicates inflammation and is particularly relevant for monitoring patients with chronic diseases, e.g. those with rheumatoid arthritis or who are undergoing cancer therapy. The approach we take here features an entirely passive microfluidic cartridge for blood separation, integrated with a high-performance sensing platform which we have tested in a real-world context. The device is compatible with a handheld detection unit and is simple to use yet can accurately detect CRP levels at clinically relevant levels.

Indexed as

Applied opticsBiomedical engineeringDiagnostic markersLab-on-a-chipNanobiotechnologySensors and probes

Identifiers

PMID40322246
PMCPMC12048346

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.