Evidence map›Paper›PMID 36846152›Full record

ArticleInternational journal of microbiology2023

Standardization of SARS-CoV-2 Nucleic Acid Amplification Techniques by Calibration and Quantification to the First WHO International Standard for SARS-CoV-2 RNA.

Jolanda J C Voermans, Daphne G J C Mulders, Rob J J Beerkens, Marlize van Duijn, Liesbeth van der Zwaan, Janette Rahamat-Langendoen, Annemiek van der Eijk, Marion P G Koopmans, Richard Molenkamp

Abstract read
In one paragraph

Article in International journal of microbiology, 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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.

Jolanda J C VoermansDepartment of Viroscience, Erasmus Medical Center, Rotterdam, Netherlands.ORCID https://orcid.org/0000-0002-5607-7395
Daphne G J C MuldersDepartment of Viroscience, Erasmus Medical Center, Rotterdam, Netherlands.
Rob J J BeerkensDepartment of Viroscience, Erasmus Medical Center, Rotterdam, Netherlands.
Marlize van DuijnDepartment of Microbiology, Erasmus Medical Center, Rotterdam, Netherlands.
Liesbeth van der ZwaanDepartment of Microbiology, Erasmus Medical Center, Rotterdam, Netherlands.
Janette Rahamat-LangendoenDepartment of Viroscience, Erasmus Medical Center, Rotterdam, Netherlands.
Annemiek van der EijkDepartment of Viroscience, Erasmus Medical Center, Rotterdam, Netherlands.
Marion P G KoopmansDepartment of Viroscience, Erasmus Medical Center, Rotterdam, Netherlands.
Richard MolenkampDepartment of Viroscience, Erasmus Medical Center, Rotterdam, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical decision-making regarding isolation of SARS-CoV-2 patients is usually based on semiquantitative cycle-threshold (Ct) values without standardization. However, not all molecular assays produce Ct values, and there is ongoing discussion about whether Ct values can be safely used for decision-making. In this study, we standardized two molecular assays which use different nucleic acid amplification techniques (NAAT): the Hologic Aptima SARS-CoV-2/Flu (TMA) and Roche Cobas 6800 SARS-CoV-2 assays. We calibrated these assays against the first WHO international standard for SARS-CoV-2 RNA by using linear regression of log10 dilution series. These calibration curves were used to calculate viral loads for clinical samples. Clinical performance was assessed retrospectively using samples collected between January 2020 and November 2021, including known positives of the wild-type SARS-CoV-2 virus, the VOCs (alpha, beta, gamma, delta, and omicron) and quality control panels. Linear regression and Bland-Altman analysis showed good correlations for SARS-CoV-2 between Panther TMA and Cobas 6800 when standardized viral loads were used. These standardized quantitative results can benefit clinical decision-making and standardization of infection control guidelines.

Identifiers

PMID36846152
PMCPMC9957646

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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.