Evidence map›Paper›PMID 30971466›Full record

ArticleJournal of clinical microbiology2019

Development of an Enzyme-Linked Immunosorbent Assay for Rapid Detection of Dengue Virus (DENV) NS1 and Differentiation of DENV Serotypes during Early Infection.

Szu-Chia Lai, Yu-Yine Huang, Pei-Yun Shu, Shu-Fen Chang, Po-Shiuan Hsieh, Jiunn-Jye Wey, Meng-Hung Tsai, Ren-Jy Ben, Yi-Ming Hsu, Yi-Chien Fang and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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  7. Aptamer-based biosensors for virus protein detection.Trends in analytical chemistry : TRAC · 2022
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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

12 authors at 2 institutions in 1 country.

Szu-Chia LaiInstitute of Preventive Medicine, National Defense Medical Center, Taipei City, Taiwan.
Yu-Yine HuangInstitute of Preventive Medicine, National Defense Medical Center, Taipei City, Taiwan.
Pei-Yun ShuTaiwan Centers for Disease Control, Taipei City, Taiwan.
Shu-Fen ChangTaiwan Centers for Disease Control, Taipei City, Taiwan.
Po-Shiuan HsiehInstitute of Preventive Medicine, National Defense Medical Center, Taipei City, Taiwan.
Jiunn-Jye WeyInstitute of Preventive Medicine, National Defense Medical Center, Taipei City, Taiwan.
Meng-Hung TsaiInstitute of Preventive Medicine, National Defense Medical Center, Taipei City, Taiwan.
Ren-Jy BenKaohsiung Armed Forces General Hospital, Kaohsiung City, Taiwan.
Yi-Ming HsuKaohsiung Armed Forces General Hospital, Kaohsiung City, Taiwan.
Yi-Chien FangZuoying Branch of Kaohsiung Armed Forces General Hospital, Kaohsiung City, Taiwan.
Mei-Ling HsiaoTangshan Branch of Kaohsiung Armed Forces General Hospital, Kaohsiung City, Taiwan.
Chang-Chi LinInstitute of Preventive Medicine, National Defense Medical Center, Taipei City, Taiwan chalin1@ms38.hinet.net.
National Defense Medical Center · TWKaohsiung Armed Forces General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue fever, caused by infections with the dengue virus (DENV), affects nearly 400 million people globally every year. Early diagnosis and management can reduce the morbidity and mortality rates of severe forms of dengue disease as well as decrease the risk of wider outbreaks. Although the early diagnosis of dengue can be achieved using a number of commercial NS1 detection kits, none of these can differentiate among the four dengue virus serotypes. In this study, we developed an enzyme-linked immunosorbent assay (ELISA) for the detection of dengue virus (DENV) NS1 by pairing a serotype-cross-reactive monoclonal antibody (MAb) with one of four serotype-specific MAbs in order to facilitate the rapid detection of NS1 antigens and the simultaneous differentiation of DENV serotypes. A total of 146 serum samples obtained from patients suspected to be in the acute phase of DENV infection were used to evaluate the clinical application of our novel test for the detection and serotyping of DENV. The overall sensitivity rate of our test was 84.85%, and the sensitivity rates for serotyping were as follows: 88.2% (15/17) for DENV serotype 1 (DENV1), 94.7% (18/19) for DENV2, 75% (12/16) for DENV3, and 66.6% (6/9) for DENV4. Moreover, there was no cross-reactivity among serotypes, and no cross-reactivity was observed in sera from nondengue patients. Thus, our test not only enables the rapid detection of the dengue virus but also can distinguish among the specific serotypes during the early stages of infection. These results indicate that our ELISA for DENV NS1 is a convenient tool that may help elucidate the epidemiology of DENV outbreaks and facilitate the clinical management of DENV infections.

Indexed as

Antibodies, MonoclonalAntibodies, ViralAntigens, ViralClinical Laboratory TechniquesDengueDengue VirusEarly DiagnosisEnzyme-Linked Immunosorbent AssayHumansReproducibility of ResultsSensitivity and SpecificitySerogroupSerotypingViral Nonstructural ProteinsAntibodies, MonoclonalAntibodies, ViralAntigens, ViralViral Nonstructural Proteinsclinical diagnosisdengueELISANS1serotypetyping

Identifiers

PMID30971466
PMCPMC6595446
OpenAlexW2939769701

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.