Evidence map›Paper›PMID 35262039›Full record

ArticleCell reports methods2022

Homebrew: An economical and sensitive glassmilk-based nucleic-acid extraction method for SARS-CoV-2 diagnostics.

Robert Page, Edward Scourfield, Mattia Ficarelli, Stuart W McKellar, Kwok Leung Lee, Thomas J A Maguire, Clement Bouton, Maria Jose Lista, Stuart J D Neil, Michael H Malim and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Moving towards on-site detection of Shiga toxin-producingCurrent research in food science · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. 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

13 authors at 2 institutions in 1 country.

Robert PageImmunoEngineering Lab, School of Cancer and Pharmaceutical Sciences, King's College London, Guy's Cancer Centre, Great Maze Pond, London SE1 9RT, UK.
Edward ScourfieldDepartment Infectious Diseases, School of Immunology and Microbial Sciences, Guy's Campus, King's College London, London SE1 9RT, UK.
Mattia FicarelliDepartment Infectious Diseases, School of Immunology and Microbial Sciences, Guy's Campus, King's College London, London SE1 9RT, UK.
Stuart W McKellarDepartment Infectious Diseases, School of Immunology and Microbial Sciences, Guy's Campus, King's College London, London SE1 9RT, UK.
Kwok Leung LeeDepartment Infectious Diseases, School of Immunology and Microbial Sciences, Guy's Campus, King's College London, London SE1 9RT, UK.
Thomas J A MaguireDepartment Infectious Diseases, School of Immunology and Microbial Sciences, Guy's Campus, King's College London, London SE1 9RT, UK.
Clement BoutonDepartment Infectious Diseases, School of Immunology and Microbial Sciences, Guy's Campus, King's College London, London SE1 9RT, UK.
Maria Jose ListaDepartment Infectious Diseases, School of Immunology and Microbial Sciences, Guy's Campus, King's College London, London SE1 9RT, UK.
Stuart J D NeilDepartment Infectious Diseases, School of Immunology and Microbial Sciences, Guy's Campus, King's College London, London SE1 9RT, UK.
Michael H MalimDepartment Infectious Diseases, School of Immunology and Microbial Sciences, Guy's Campus, King's College London, London SE1 9RT, UK.
Mark ZuckermanSouth London Specialist Virology Centre, King's College Hospital London, London, UK.
Hannah E MischoDepartment Infectious Diseases, School of Immunology and Microbial Sciences, Guy's Campus, King's College London, London SE1 9RT, UK.
Rocio T Martinez-NunezDepartment Infectious Diseases, School of Immunology and Microbial Sciences, Guy's Campus, King's College London, London SE1 9RT, UK.
King's College London · GBKing's College Hospital · GB

Funding

Department of HealthMedical Research Council MC_PC_15068Medical Research Council MR/N013700/1Medical Research Council MR/R50225X/1Wellcome Trust 207442/Z/17/ZWellcome Trust 213984/Z/18/ZWellcome Trust 218537/Z/19/Z
6 · The paper itself

Abstract

Management of COVID-19 and other epidemics requires large-scale diagnostic testing. The gold standard for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection remains reverse transcription quantitative PCR (qRT-PCR) analysis, which detects viral RNA more sensitively than any other method. However, the resource use and supply-chain requirements of RT-PCR have continued to challenge diagnostic laboratories worldwide. Here, we establish and characterize a low-cost method to detect SARS-CoV-2 in clinical combined nose and throat swabs, allowing for automation in high-throughput settings. This method inactivates virus material with sodium dodecylsulfate (SDS) and uses silicon dioxide as the RNA-binding matrix in combination with sodium chloride (NaCl) and isopropanol. With similar sensitivity for SARS-CoV-2 viral targets but a fraction of time and reagent expenditure compared with commercial kits, our method also enables sample pooling without loss of sensitivity. We suggest that this method will facilitate more economical widespread testing, particularly in resource-limited settings.

Indexed as

COVID-19SARS-CoV-2Clinical Laboratory TechniquesCOVID-19 TestingHumansReverse TranscriptionCOVID-19low-cost RNA extractionmolecular diagnosticsqPCR diagnosticsSARS-CoV-2

Identifiers

PMID35262039
PMCPMC8890991
OpenAlexW4214895376

What OpenQuestion 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 OpenQuestion graph.