Evidence map›Paper›PMID 34533679›Full record

ArticleBiotechnology letters2021

Taguchi array optimization of the reverse transcription loop-mediated isothermal amplification (RT-LAMP) assay for sensitive and rapid detection of dengue virus serotype 2.

Mohammad Shoushtari, Mostafa Salehi-Vaziri, Farzin Roohvand, Arash Arashkia, Tahmineh Jalali, Kayhan Azadmanesh

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Article in Biotechnology letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 8 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

6 authors at 2 institutions in 1 country.

Mohammad ShoushtariDepartment of Virology, Pasteur Institute of Iran, Tehran, Iran.
Mostafa Salehi-VaziriDepartment of Arboviruses and Viral Hemorrhagic Fevers (National Reference Laboratory), Pasteur Institute of Iran, Tehran, Iran.
Farzin RoohvandDepartment of Virology, Pasteur Institute of Iran, Tehran, Iran.
Arash ArashkiaDepartment of Virology, Pasteur Institute of Iran, Tehran, Iran.
Tahmineh JalaliDepartment of Arboviruses and Viral Hemorrhagic Fevers (National Reference Laboratory), Pasteur Institute of Iran, Tehran, Iran.
Kayhan AzadmaneshDepartment of Virology, Pasteur Institute of Iran, Tehran, Iran. k.azadmanesh2@gmail.com.ORCID http://orcid.org/0000-0001-6377-786X
Pasteur Institute of Iran · IRShahed University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSerotype 2 of dengue virus (DENV-2) is the most prevalent cause of dengue fevers. In this study, the C-prM gene was used for specific detection of DENV-2 by RT-LAMP assay. The RT-LAMP assay was optimized using the Taguchi design of experiments.

resultsThe efficiency of the assay in such optimal conditions resulted in 100% sensitivity, 100% specificity, and 100% overall accuracy for detection of 4 copies/μL of the genome of DENV-2. In addition, the detection of 2 copies/μL of the genome of DENV-2 was feasible, although the sensitivity was 50%. Considering the importance of the specific detection of the dengue virus serotypes, the cost-effective RT-LAMP approach can be used for rapid, specific, and sensitive detection of DENV-2.

conclusionRT-LAMP, as a cost-effective method, was optimized using Taguchi array approach for specific and rapid detection of DENV-2. Such methods can facilitate the diagnosis procedure in remote regions.

Indexed as

Dengue VirusMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesRNA, ViralSensitivity and SpecificityVirologyRNA, ViralArbovirusDENV-2Design of experimentsFlavivirusRT-LAMP

Identifiers

PMID34533679
OpenAlexW3201309687

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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.