Evidence map›Paper›PMID 37272795›Full record

ArticleMicrobiology spectrum2023

Analytical and Clinical Evaluation of a TaqMan Real-Time PCR Assay for the Detection of Chikungunya Virus.

Anna Andrew, Marimuthu Citartan, Kiing Aik Wong, Thean Hock Tang, Sum Magdline Sia Henry, Ewe Seng Ch'ng

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Quantification of Chikungunya Virus RNA by Real-Time RT-PCR Assay.Methods in molecular biology (Clifton, N.J.) · 2027
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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.

Anna AndrewAdvanced Medical and Dental Institute, Universiti Sains Malaysia, Kepala Batas, Penang, Malaysia.ORCID 0000-0002-5188-1536
Marimuthu CitartanAdvanced Medical and Dental Institute, Universiti Sains Malaysia, Kepala Batas, Penang, Malaysia.
Kiing Aik WongInstitute of Health and Community Medicine, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia.
Thean Hock TangAdvanced Medical and Dental Institute, Universiti Sains Malaysia, Kepala Batas, Penang, Malaysia.
Sum Magdline Sia HenryInstitute of Health and Community Medicine, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia.
Ewe Seng Ch'ngAdvanced Medical and Dental Institute, Universiti Sains Malaysia, Kepala Batas, Penang, Malaysia.ORCID 0000-0001-8831-8678
Universiti Sains Malaysia · MYUniversiti Malaysia Sarawak · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the general symptoms presented by the Chikungunya virus (CHIKV)-infected patients, a laboratory test is needed to differentiate CHIKV from other viral infections. The reverse transcription-quantitative real-time PCR (RT-qPCR) is a rapid and sensitive diagnostic tool, and several assays have been developed for detecting and quantifying CHIKV. Since real-time amplification efficiency varies within and between laboratories, an assay must be validated before being used on patient samples. In this study, the diagnostic performance of a TaqMan RT-qPCR assay was evaluated using synthetic RNA and archived patient samples. The cutoff quantification cycle (

Indexed as

Chikungunya FeverChikungunya virusDengueHumansProspective StudiesReal-Time Polymerase Chain ReactionRNA, ViralRNA, ViralChikungunya viruscutoff quantification cyclein-house assayreverse transcription-quantitative real-time PCR

Identifiers

PMID37272795
PMCPMC10433969
OpenAlexW4379375650

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.