Evidence map›Paper›PMID 37909752›Full record

ArticleMicrobiology spectrum2023

Performance evaluation of the cobas SARS-CoV-2 Duo, a novel qualitative and quantitative assay, for the detection of SARS-CoV-2 RNA.

Yang-Di Su, Chih-Cheng Lai, Tsai-Hsiu Lin, Wei-Cheng Chen, Po-Ren Hsueh

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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

5 authors at 2 institutions in 1 country.

Yang-Di Su *Department of Laboratory Medicine, China Medical University Hospital, School of Medicine, China Medical University , Taichung, Taiwan.
Chih-Cheng Lai *Department of Internal Medicine, Division of Hospital Medicine, Chi Mei Medical Center , Tainan, Taiwan.
Tsai-Hsiu LinDepartment of Laboratory Medicine, China Medical University Hospital, School of Medicine, China Medical University , Taichung, Taiwan.
Wei-Cheng ChenDepartment of Internal Medicine, Division of Pulmonary and Critical Care Medicine,China Medical University Hospital , Taichung, Taiwan.
Po-Ren HsuehDepartment of Laboratory Medicine, China Medical University Hospital, School of Medicine, China Medical University , Taichung, Taiwan.ORCID 0000-0002-7502-9225
China Medical University · TWChi Mei Medical Center · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceQuantitative SARS-CoV-2 tests for viral load are necessary to guide patient treatment, as well as to determine infection control measures and policies. Although the real-time RT-PCR assays can report the Ct value to estimate the viral load, there are several serious concerns regarding the use of Ct values. Importantly, Ct values can vary significantly among between- and within-run methods. The diagnostic performance of the cobas SARS-CoV-2 Duo is appropriate. It is a precise, accurate, and sensitive method for the detection of SARS-CoV-2 RNA and is comparable to two qualitative assays (the cobas SARS-CoV-2 and the Liat cobas SARS-CoV-2 and Inf A/B). In contrast, using the Ct value to estimate viral load is not reliable, and utilization of a quantitative detection test, such as the cobas SARS-CoV-2 Duo, to accurately measure the viral load is needed.

Indexed as

COVID-19SARS-CoV-2COVID-19 TestingHumansReagent Kits, DiagnosticRNA, ViralReagent Kits, DiagnosticRNA, Viralcobas SARS-CoV-2 DuoCOVID-19qualitativequantitativeSARS-CoV-2

Identifiers

PMID37909752
PMCPMC10715196
OpenAlexW4388128542

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.