Evidence map›Paper›PMID 37323943›Full record

ArticleAccess microbiology2023

COVID-19 PCR: frequency of internal control inhibition in clinical practice.

Alessandro C Pasqualotto, Amanda L Seus

Open access · goldAbstract read
In one paragraph

Article in Access 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
0.4field-weighted citation impact, top 42% 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

2 authors at 2 institutions in 1 country.

Alessandro C PasqualottoFederal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, Brazil.ORCID https://orcid.org/0000-0002-6782-5395
Amanda L SeusUniversidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil.
Universidade do Vale do Rio dos Sinos · BRUniversidade Federal de Ciências da Saúde de Porto Alegre · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Diagnosis of COVID-19 (coronavirus disease 2019) is best performed with real-time (quantitative) PCR (qPCR), the most sensitive method for detection and quantification of viral RNA. Using the Centers for Disease Control and Prevention (CDC) protocol, for each sample tested for the virus, three qPCR tests are performed, targeting the viral genes N1 and N2, in addition to the internal control gene RNase P. Samples in which internal control fails to amplify should be labelled 'invalid'. Methods: This study aims to determine the frequency of inhibition of the RNase P gene used as an internal control in qPCR tests for SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) in a reference hospital in Southern Brazil during the COVID-19 pandemic (1 February 2021 to 31 March 2021). Results: A total 10, 311 samples were available for analysis. The mean cycle threshold (Ct) value for the RNAse P gene was 26.65 and the standard deviation was 3.18. A total of 252 samples were inhibited (2.4%) during the study period: amongst these, 77 (30.5%) showed late amplifications (beyond 2 standard deviations from the mean Ct value), and 175 (69.4%) revealed no fluorescence at all for the RNase P gene. Conclusions: This study showed a low percentage of inhibition using RNase P as an internal control in COVID-19 PCRs using the CDC protocol, thus proving the effectiveness of this protocol for identification of SARS-CoV-2 in clinical samples. Re-extraction was efficacious for samples that showed little or no fluorescence for the RNase P gene.

Indexed as

Covid-19inhibitioninternal controlqPCRSARS-CoV-2

Identifiers

PMID37323943
PMCPMC10267656
OpenAlexW4377091110

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.