Evidence map›Paper›PMID 38967089›Full record

ArticleAnalytical chemistry2024

Rapid, Portable, and Electricity-free Sample Extraction Method for Enhanced Molecular Diagnostics in Resource-Limited Settings.

Ivana Pennisi, Matthew L Cavuto, Luca Miglietta, Kenny Malpartida-Cardenas, Oliver W Stringer, Katerina-Theresa Mantikas, Ruth Reid, Rebecca Frise, Nicolas Moser, Paul Randell and 6 more

Abstract read
In one paragraph

Article in Analytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
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  7. Review
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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

16 authors.

Ivana PennisiDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London SW72AZ, U.K.
Matthew L CavutoDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London SW72AZ, U.K.
Luca MigliettaDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London SW72AZ, U.K.
Kenny Malpartida-CardenasDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London SW72AZ, U.K.ORCID 0000-0002-3874-8810
Oliver W StringerDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London SW72AZ, U.K.
Katerina-Theresa MantikasDepartment of Electrical and Electronic Engineering, Faculty of Engineering, Imperial College, London SW72BT, U.K.
Ruth ReidDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London SW72AZ, U.K.
Rebecca FriseDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London SW72AZ, U.K.
Nicolas MoserDepartment of Electrical and Electronic Engineering, Faculty of Engineering, Imperial College, London SW72BT, U.K.ORCID 0000-0002-6689-0486
Paul RandellDepartment of Infectious Diseases, Charing Cross Hospital, Imperial College Healthcare NHS Trust, London W6 8RP, U.K.
Frances DaviesDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London SW72AZ, U.K.
Frances BoltDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London SW72AZ, U.K.
Wendy BarclayDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London SW72AZ, U.K.
Alison HolmesDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London SW72AZ, U.K.
Pantelis GeorgiouDepartment of Electrical and Electronic Engineering, Faculty of Engineering, Imperial College, London SW72BT, U.K.
Jesus Rodriguez-ManzanoDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London SW72AZ, U.K.ORCID 0000-0002-2583-8366

Funding

Medical Research Council MR/T005254/1Wellcome Trust
6 · The paper itself

Abstract

The COVID-19 pandemic has highlighted the need for rapid and reliable diagnostics that are accessible in resource-limited settings. To address this pressing issue, we have developed a rapid, portable, and electricity-free method for extracting nucleic acids from respiratory swabs (i.e. nasal, nasopharyngeal and buccal swabs), successfully demonstrating its effectiveness for the detection of SARS-CoV-2 in residual clinical specimens. Unlike traditional approaches, our solution eliminates the need for micropipettes or electrical equipment, making it user-friendly and requiring little to no training. Our method builds upon the principles of magnetic bead extraction and revolves around a low-cost plastic magnetic lid, called SmartLid, in combination with a simple disposable kit containing all required reagents conveniently prealiquoted. Here, we clinically validated the SmartLid sample preparation method in comparison to the gold standard QIAamp Viral RNA Mini Kit from QIAGEN, using 406 clinical isolates, including 161 SARS-CoV-2 positives, using the SARS-CoV-2 RT-qPCR assays developed by the US Centers for Disease Control and Prevention (CDC). The SmartLid method showed an overall sensitivity of 95.03% (95% CI: 90.44-97.83%) and a specificity of 99.59% (95% CI: 97.76-99.99%), with a positive agreement of 97.79% (95% CI: 95.84-98.98%) when compared to QIAGEN's column-based extraction method. There are clear benefits to using the SmartLid sample preparation kit: it enables swift extraction of viral nucleic acids, taking less than 5 min, without sacrificing significant accuracy when compared to more expensive and time-consuming alternatives currently available on the market. Moreover, its simplicity makes it particularly well-suited for the point-of-care where rapid results and portability are crucial. By providing an efficient and accessible means of nucleic acid extraction, our approach aims to introduce a step-change in diagnostic capabilities for resource-limited settings.

Indexed as

COVID-19RNA, ViralSARS-CoV-2COVID-19 Nucleic Acid TestingCOVID-19 TestingHumansMolecular Diagnostic TechniquesResource-Limited SettingsSpecimen HandlingRNA, Viral

Identifiers

PMID38967089
PMCPMC11256010

What OpenQuestion holds

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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.