Evidence map›Paper›PMID 35185236›Full record

ArticleEnfermedades infecciosas y microbiologia clinica2022

Miguel Fernández-Huerta, Paula Salmerón, Yolanda Hernández-Hermida, Cristina Andrés, Jordi Niubó, Laura Calatayud, M Angeles Domínguez, Tomàs Pumarola, Carmen Ardanuy, Andrés Antón and 1 more

Open access · greenAbstract readEnglish Abstract
In one paragraph

Article in Enfermedades infecciosas y microbiologia clinica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 60% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
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

11 authors at 6 institutions in 1 country.

Miguel Fernández-HuertaMicrobiology Department, Hospital Universitari Bellvitge, University of Barcelona-IDIBELL, L´Hospitalet de Llobregat, Spain.
Paula SalmerónRespiratory Viruses Unit, Microbiology Department, Vall d´Hebron Institut de Recerca (VHIR), Vall d´Hebron Hospital Universitari, Vall d´Hebron Barcelona Hospital Campus, Barcelona, Spain.
Yolanda Hernández-HermidaMicrobiology Department, Hospital Universitari Bellvitge, University of Barcelona-IDIBELL, L´Hospitalet de Llobregat, Spain.
Cristina AndrésRespiratory Viruses Unit, Microbiology Department, Vall d´Hebron Institut de Recerca (VHIR), Vall d´Hebron Hospital Universitari, Vall d´Hebron Barcelona Hospital Campus, Barcelona, Spain.
Jordi NiubóMicrobiology Department, Hospital Universitari Bellvitge, University of Barcelona-IDIBELL, L´Hospitalet de Llobregat, Spain.
Laura CalatayudMicrobiology Department, Hospital Universitari Bellvitge, University of Barcelona-IDIBELL, L´Hospitalet de Llobregat, Spain.
M Angeles DomínguezMicrobiology Department, Hospital Universitari Bellvitge, University of Barcelona-IDIBELL, L´Hospitalet de Llobregat, Spain.
Tomàs PumarolaRespiratory Viruses Unit, Microbiology Department, Vall d´Hebron Institut de Recerca (VHIR), Vall d´Hebron Hospital Universitari, Vall d´Hebron Barcelona Hospital Campus, Barcelona, Spain.
Carmen ArdanuyMicrobiology Department, Hospital Universitari Bellvitge, University of Barcelona-IDIBELL, L´Hospitalet de Llobregat, Spain.
Andrés AntónRespiratory Viruses Unit, Microbiology Department, Vall d´Hebron Institut de Recerca (VHIR), Vall d´Hebron Hospital Universitari, Vall d´Hebron Barcelona Hospital Campus, Barcelona, Spain.
Jordi CàmaraMicrobiology Department, Hospital Universitari Bellvitge, University of Barcelona-IDIBELL, L´Hospitalet de Llobregat, Spain.
Bellvitge University Hospital · ESVall d'Hebron Hospital Universitari · ESInstitut d'Investigació Biomédica de Bellvitge · ESCentro de Investigación Biomédica en Red de Enfermedades Respiratorias · ESUniversitat de Barcelona · ESVall d'Hebron Institut de Recerca · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe onset and spread of COVID-19 pandemic has forced clinical laboratories to rapidly expand testing capacity for SARS-CoV-2. This study evaluates the clinical performance of the TMA Procleix SARS-CoV-2 assay in comparison to the RT-PCR assay Allplex

methodsBetween November 2020 and February 2021, 610 upper-respiratory specimens received for routine SARS-CoV-2 molecular testing were prospectively collected and selected at the Hospital Universitari Vall d'Hebron and the Hospital Universitari Bellvitge in Barcelona, Spain. All samples were processed in parallel with the TMA and the RT-PCR assays, and results were compared. Discrepancies were retested by an additional RT-PCR method and the clinical history of these patients was reviewed.

resultsOverall, the level of concordance between both assays was 92.0% (κ, 0.772). Most discordant results (36/38, 94.7%) corresponded to samples testing positive with the TMA assay and negative with the RT-PCR method. Of these discrepant cases, most (28/36, 77.8%) were finally classified as confirmed or probable SARS-CoV-2 cases according to the discrepant analysis.

conclusionIn conclusion, the TMA Procleix SARS-CoV-2 assay performed well for the qualitative detection of SARS-CoV-2 RNA in a multisite clinical setting. This novel TMA assay demonstrated a greater sensitivity in comparison to RT-PCR methods for the molecular detection of SARS-CoV-2. This higher sensitivity but also the qualitative feature of this detection of SARS-CoV-2 should be considered when making testing algorithm decisions.

Indexed as

COVID-19SARS-CoV-2transcription-mediated amplification

Identifiers

PMID35185236
PMCPMC8841142
OpenAlexW4212882878

What OpenQuestion holds

Textmetadata
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.