Evidence map›Paper›PMID 39881625›Full record

ArticleEpidemiology and infection2025

Performance and functional assessment of the Kimera P-IV point-of-care plasmonic qPCR prototype for ultra rapid pathogen detection of

Joshua Hayes, Seung Soo Lee, Jason Carnevale, Daniel Shamir, Marc Bohbot, Andrew G Kirk, Miltiadis Paliouras, Mark A Trifiro

Abstract read
In one paragraph

Article in Epidemiology and infection, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Joshua HayesLady Davis Institute for Medical for Medical Research - Jewish General Hospital, Montreal, QC, Canada.
Seung Soo LeeLady Davis Institute for Medical for Medical Research - Jewish General Hospital, Montreal, QC, Canada.
Jason CarnevaleDepartment of Biology, Concordia University, Montreal, QC, Canada.
Daniel ShamirNexless Healthcare LP, Montreal, QC, Canada.
Marc BohbotNexless Healthcare LP, Montreal, QC, Canada.
Andrew G KirkDepartment of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada.
Miltiadis PaliourasDivision of Experimental Medicine, McGill University, Montreal, QC, Canada.ORCID 0000-0003-1321-4414
Mark A TrifiroLady Davis Institute for Medical for Medical Research - Jewish General Hospital, Montreal, QC, Canada.

Funding

CIHR OV1-170654
6 · The paper itself

Abstract

Current standard microbiological techniques are generally very time consuming, usually requiring 24-72 h to establish a diagnosis. Consequentially, contemporary clinical practices implement broad-spectrum antibiotic administration prior to pathogen detection, prompting the emergence of extremely dangerous antibiotic-resistant bacteria. Additionally, lengthy test-to-result turnover times can greatly exacerbate the rate of disease spread. Rapid point-of-care (POC) diagnostics has quickly gained importance since the SARS-CoV-2 pandemic; accordingly, we have developed a rapid four-channel POC plasmonic quantitative polymerase chain reaction (qPCR) machine (Kimera P-IV) to respond to the deficiencies in infection control. Utilizing gold nanorods (GNRs) as nano-heaters and integrating vertical cavity surface emitting lasers (VCSEL) to replace traditional Peltier blocks, the Kimera P-IV has also incorporated quantitative real-time fluorescent monitoring. Using

Indexed as

Chlamydia InfectionsChlamydia trachomatisPoint-of-Care SystemsReal-Time Polymerase Chain ReactionCOVID-19GoldHumansNanotubesSensitivity and SpecificityGold

Identifiers

PMID39881625
PMCPMC11869076

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.