Evidence map›Paper›PMID 31541787›Full record

ArticleBiosensors & bioelectronics2019

Quantitative and rapid Plasmodium falciparum malaria diagnosis and artemisinin-resistance detection using a CMOS Lab-on-Chip platform.

Kenny Malpartida-Cardenas, Nicholas Miscourides, Jesus Rodriguez-Manzano, Ling-Shan Yu, Nicolas Moser, Jake Baum, Pantelis Georgiou

Open access · greenAbstract read
In one paragraph

Article in Biosensors & bioelectronics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

36 citing papers in PubMed, 90 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

7 authors at 1 institution in 1 country.

Kenny Malpartida-CardenasCentre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, UK.
Nicholas MiscouridesCentre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, UK.
Jesus Rodriguez-ManzanoCentre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, UK. Electronic address: j.rodriguez-manzano@imperial.ac.uk.
Ling-Shan YuCentre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, UK.
Nicolas MoserCentre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, UK.
Jake BaumDepartment of Life Sciences, Imperial College London, UK.
Pantelis GeorgiouCentre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, UK.
Imperial College London · GB

Funding

Medical Research Council MC_PC_16046Medical Research Council MR/N012275/1Wellcome Trust 100993
6 · The paper itself

Abstract

Early and accurate diagnosis of malaria and drug-resistance is essential to effective disease management. Available rapid malaria diagnostic tests present limitations in analytical sensitivity, drug-resistance testing and/or quantification. Conversely, diagnostic methods based on nucleic acid amplification stepped forwards owing to their high sensitivity, specificity and robustness. Nevertheless, these methods commonly rely on optical measurements and complex instrumentation which limit their applicability in resource-poor, point-of-care settings. This paper reports the specific, quantitative and fully-electronic detection of Plasmodium falciparum, the predominant malaria-causing parasite worldwide, using a Lab-on-Chip platform developed in-house. Furthermore, we demonstrate on-chip detection of C580Y, the most prevalent single-nucleotide polymorphism associated to artemisinin-resistant malaria. Real-time non-optical DNA sensing is facilitated using Ion-Sensitive Field-Effect Transistors, fabricated in unmodified complementary metal-oxide-semiconductor (CMOS) technology, coupled with loop-mediated isothermal amplification. This work holds significant potential for the development of a fully portable and quantitative malaria diagnostic that can be used as a rapid point-of-care test.

Indexed as

Biosensing TechniquesLab-On-A-Chip DevicesMolecular Diagnostic TechniquesAnimalsArtemisininsHumansMalaria, FalciparumPlasmodium falciparumPoint-of-Care SystemsSemiconductorsartemisininArtemisininsCMOSISFETLab-on-ChipLAMPMalariaP. falciparumPoint-of-CareSNP

Identifiers

PMID31541787
PMCPMC7224984
OpenAlexW2971367155

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.