Evidence map›Paper›PMID 37552632›Full record

ArticlePLOS global public health2023

Analytical and diagnostic performance characteristics of reverse-transcriptase loop-mediated isothermal amplification assays for dengue virus serotypes 1-4: A scoping review to inform potential use in portable molecular diagnostic devices.

Paul Arkell, Dumrong Mairiang, Adisak Songjaeng, Kenny Malpartida-Cardenas, Kerri Hill-Cawthorne, Panisadee Avirutnan, Pantelis Georgiou, Alison Holmes, Jesus Rodriguez-Manzano

Abstract readScoping Review
In one paragraph

Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

9 authors.

Paul ArkellCentre for Antimicrobial Optimisation, Department of Infectious Disease, Imperial College London, Hammersmith Hospital, London, United Kingdom.ORCID https://orcid.org/0000-0003-3702-2716
Dumrong MairiangSiriraj Center of Research Excellence in Dengue and Emerging Pathogens (SiCORE-Dengue), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-2743-0145
Adisak SongjaengSiriraj Center of Research Excellence in Dengue and Emerging Pathogens (SiCORE-Dengue), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Kenny Malpartida-CardenasCentre for Antimicrobial Optimisation, Department of Infectious Disease, Imperial College London, Hammersmith Hospital, London, United Kingdom.
Kerri Hill-CawthorneCentre for Antimicrobial Optimisation, Department of Infectious Disease, Imperial College London, Hammersmith Hospital, London, United Kingdom.ORCID https://orcid.org/0000-0001-8663-8790
Panisadee AvirutnanSiriraj Center of Research Excellence in Dengue and Emerging Pathogens (SiCORE-Dengue), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Pantelis GeorgiouCentre for Antimicrobial Optimisation, Department of Infectious Disease, Imperial College London, Hammersmith Hospital, London, United Kingdom.ORCID https://orcid.org/0000-0003-2476-3857
Alison HolmesCentre for Antimicrobial Optimisation, Department of Infectious Disease, Imperial College London, Hammersmith Hospital, London, United Kingdom.
Jesus Rodriguez-ManzanoCentre for Antimicrobial Optimisation, Department of Infectious Disease, Imperial College London, Hammersmith Hospital, London, United Kingdom.ORCID https://orcid.org/0000-0002-2583-8366

Funding

Wellcome Trust
6 · The paper itself

Abstract

Dengue is a mosquito-borne disease caused by dengue virus (DENV) serotypes 1-4 which affects 100-400 million adults and children each year. Reverse-transcriptase (RT) quantitative polymerase chain reaction (qPCR) assays are the current gold-standard in diagnosis and serotyping of infections, but their use in low-middle income countries (LMICs) has been limited by laboratory infrastructure requirements. Loop-mediated isothermal amplification (LAMP) assays do not require thermocycling equipment and therefore could potentially be deployed outside laboratories and/or miniaturised. This scoping literature review aimed to describe the analytical and diagnostic performance characteristics of previously developed serotype-specific dengue RT-LAMP assays and evaluate potential for use in portable molecular diagnostic devices. A literature search in Medline was conducted. Studies were included if they were listed before 4th May 2022 (no prior time limit set) and described the development of any serotype-specific DENV RT-LAMP assay ('original assays') or described the further evaluation, adaption or implementation of these assays. Technical features, analytical and diagnostic performance characteristics were collected for each assay. Eight original assays were identified. These were heterogenous in design and reporting. Assays' lower limit of detection (LLOD) and linear range of quantification were comparable to RT-qPCR (with lowest reported values 2.2x101 and 1.98x102 copies/ml, respectively, for studies which quantified target RNA copies) and analytical specificity was high. When evaluated, diagnostic performance was also high, though reference diagnostic criteria varied widely, prohibiting comparison between assays. Fourteen studies using previously described assays were identified, including those where reagents were lyophilised or 'printed' into microfluidic channels and where several novel detection methods were used. Serotype-specific DENV RT-LAMP assays are high-performing and have potential to be used in portable molecular diagnostic devices if they can be integrated with sample extraction and detection methods. Standardised reporting of assay validation and diagnostic accuracy studies would be beneficial.

Identifiers

PMID37552632
PMCPMC10409275

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Registered trials

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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.