Evidence map›Paper›PMID 33630852›Full record

ArticlePLoS neglected tropical diseases2021

Fully automated point-of-care differential diagnosis of acute febrile illness.

Sebastian Hin, Benjamin Lopez-Jimena, Mohammed Bakheit, Vanessa Klein, Seamus Stack, Cheikh Fall, Amadou Sall, Khalid Enan, Mohamed Mustafa, Liz Gillies and 7 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 27 citations in OpenAlex.

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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

17 authors at 4 institutions in 4 countries.

Sebastian HinLaboratory for MEMS Applications, IMTEK - Department of Microsystems Engineering, University of Freiburg, Freiburg, Germany.
Benjamin Lopez-JimenaInstitute of Aquaculture, University of Stirling, Scotland, United Kingdom.ORCID 0000-0002-0141-8113
Mohammed BakheitMast Diagnostica GmbH, Reinfeld, Germany.ORCID 0000-0002-2142-5265
Vanessa KleinLaboratory for MEMS Applications, IMTEK - Department of Microsystems Engineering, University of Freiburg, Freiburg, Germany.
Seamus StackMast Group Ltd, Mast House, Bootle, Liverpool, United Kingdom.
Cheikh FallArbovirus and viral haemorrhagic fever unit, Institut Pasteur de Dakar, Dakar, Senegal.
Amadou SallArbovirus and viral haemorrhagic fever unit, Institut Pasteur de Dakar, Dakar, Senegal.
Khalid EnanDepartment of Virology, Central Laboratory-The Ministry of Higher Education and Scientific Research, Khartoum, Sudan.
Mohamed MustafaDepartment of Virology, Central Laboratory-The Ministry of Higher Education and Scientific Research, Khartoum, Sudan.
Liz GilliesMast Group Ltd, Mast House, Bootle, Liverpool, United Kingdom.
Viorel RusuMagnaMedics Diagnostics BV, Geleen, The Netherlands.
Sven GoethelMagnaMedics Diagnostics BV, Geleen, The Netherlands.
Nils PaustLaboratory for MEMS Applications, IMTEK - Department of Microsystems Engineering, University of Freiburg, Freiburg, Germany.
Roland ZengerleLaboratory for MEMS Applications, IMTEK - Department of Microsystems Engineering, University of Freiburg, Freiburg, Germany.
Sieghard FrischmannMast Diagnostica GmbH, Reinfeld, Germany.
Manfred WeidmannInstitute of Aquaculture, University of Stirling, Scotland, United Kingdom.
Konstantinos MitsakakisLaboratory for MEMS Applications, IMTEK - Department of Microsystems Engineering, University of Freiburg, Freiburg, Germany.ORCID 0000-0002-3287-9123
University of Freiburg · DEInstitut Pasteur de Dakar · SNMinistry of Higher Education And Scientific Research · SDUniversity of Stirling · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn this work, a platform was developed and tested to allow to detect a variety of candidate viral, bacterial and parasitic pathogens, for acute fever of unknown origin. The platform is based on a centrifugal microfluidic cartridge, the LabDisk ("FeverDisk" for the specific application), which integrates all necessary reagents for sample-to-answer analysis and is processed by a compact, point-of-care compatible device. METHODOLOGY/PRINCIPAL

findingsA sample volume of 200 μL per FeverDisk was used. In situ extraction with pre-stored reagents was achieved by bind-wash-elute chemistry and magnetic particles. Enzymes for the loop-mediated isothermal amplification (LAMP) were pre-stored in lyopellet form providing stability and independence from the cold chain. The total time to result from sample inlet to read out was 2 h. The proof-of-principle was demonstrated in three small-scale feasibility studies: in Dakar, Senegal and Khartoum, Sudan we tested biobanked samples using 29 and 9 disks, respectively; in Reinfeld, Germany we tested spiked samples and analyzed the limit of detection using three bacteria simultaneously spiked in whole blood using 15 disks. Overall during the three studies, the FeverDisk detected dengue virus (different serotypes), chikungunya virus, Plasmodium falciparum, Salmonella enterica Typhi, Salmonella enterica Paratyphi A and Streptococcus pneumoniae. CONCLUSIONS/SIGNIFICANCE: The FeverDisk proved to be universally applicable as it successfully detected all different types of pathogens as single or co-infections, while it also managed to define the serotype of un-serotyped dengue samples. Thirty-eight FeverDisks at the two African sites provided 59 assay results, out of which 51 (86.4%) were confirmed with reference assay results. The results provide a promising outlook for future implementation of the platform in larger prospective clinical studies for defining its clinical sensitivity and specificity. The technology aims to provide multi-target diagnosis of the origins of fever, which will help fight lethal diseases and the incessant rise of antimicrobial resistance.

Indexed as

FeverPoint-of-Care SystemsChikungunya virusDiagnosis, DifferentialDNA, BacterialGermanyHumansMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesProspective StudiesSalmonellaSalmonella paratyphi ASenegalSudanDNA, Bacterial

Identifiers

PMID33630852
PMCPMC7906357
OpenAlexW3131157117

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.