Evidence map›Paper›PMID 34499965›Full record

ArticleJournal of virological methods2021

Comparison of FTD SARS-CoV-2 Assay and RealStar RT-PCR kit 1.0 for the detection of SARS-CoV-2.

Daniele Di Carlo, Laura Mazzuti, Ilaria Sciandra, Giuliana Guerrizio, Giuseppe Oliveto, Rodolfo J Riveros Cabral, Maria Antonella Zingaropoli, Ombretta Turriziani

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of virological methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Evaluation of diagnostic performance of SARS-CoV-2 detection kits: a comparative study.Beni-Suef University journal of basic and applied sciences · 2023
    Article
  4. 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

8 authors.

Daniele Di CarloDepartment of Molecular Medicine, Sapienza University, Viale dell'Università 31, 00185, Rome, Italy.
Laura MazzutiDepartment of Molecular Medicine, Sapienza University, Viale dell'Università 31, 00185, Rome, Italy.
Ilaria SciandraDepartment of Molecular Medicine, Sapienza University, Viale dell'Università 31, 00185, Rome, Italy.
Giuliana GuerrizioDepartment of Molecular Medicine, Sapienza University, Viale dell'Università 31, 00185, Rome, Italy.
Giuseppe OlivetoDepartment of Molecular Medicine, Sapienza University, Viale dell'Università 31, 00185, Rome, Italy.
Rodolfo J Riveros CabralDepartment of Molecular Medicine, Sapienza University, Viale dell'Università 31, 00185, Rome, Italy.
Maria Antonella ZingaropoliDepartment of Public Health and Infectious Diseases, Sapienza University, Viale dell'Università 31, 00185, Rome, Italy.
Ombretta TurrizianiDepartment of Molecular Medicine, Sapienza University, Viale dell'Università 31, 00185, Rome, Italy. Electronic address: ombretta.turriziani@uniroma1.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the study was to evaluate the clinical performance of FTD SARS-CoV-2 compared to the RealStar RT-PCR kit 1.0. The analysis of 100 nasopharyngeal swabs showed an overall agreement of 88 %. The positive percentage agreement was 85.6 % and the negative percentage agreement was 91 %. In conclusion we observed a substantial agreement among the two methods, with discrepancies mainly observed in specimens with relatively low amount of viral RNA.

Indexed as

COVID-19Frontotemporal DementiaHumansNasopharynxReverse Transcriptase Polymerase Chain ReactionRNA, ViralSARS-CoV-2Sensitivity and SpecificityRNA, ViralCovid-19Ct valuesFTD SARS-CoV-2RealStar RT-PCRRT-PCRSARS-CoV-2

Identifiers

PMID34499965
PMCPMC8420089

What OpenQuestion holds

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Registered trials

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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.