Evidence map›Paper›PMID 37685863›Full record

ArticleInternational journal of molecular sciences2023

Performance of Reverse Transcription Loop-Mediated Isothermal Amplification (RT-LAMP) Targeting the RNA Polymerase Gene for the Direct Detection of SARS-CoV2 in Nasopharyngeal Swabs.

Elias da Rosa Hoffmann, Lisiane da Rocha Balzan, Everton Inamine, Lisiane Rech Pancotto, Guilherme Gaboardi, Vlademir Vicente Cantarelli

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. 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

6 authors at 4 institutions in 1 country.

Elias da Rosa HoffmannBasic Health Sciences Department, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre 90050-170, Brazil.ORCID 0000-0001-5095-4716
Lisiane da Rocha BalzanDiagnósticos da America S.A., Novo Hamburgo 93520-340, Brazil.
Everton InamineCentral Laboratory, Santa Casa de Misericórdia de Porto Alegre, Porto Alegre 90020-090, Brazil.
Lisiane Rech PancottoCentral Laboratory, Santa Casa de Misericórdia de Porto Alegre, Porto Alegre 90020-090, Brazil.
Guilherme GaboardiBiomedical Sciences Department, Serra Gaúcha University Center (FSG), Caxias do Sul 95020-472, Brazil.ORCID 0000-0001-8427-0785
Vlademir Vicente CantarelliBasic Health Sciences Department, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre 90050-170, Brazil.
Santa Casa de Misericórdia de Marília · BRUniversidade Federal de Ciências da Saúde de Porto Alegre · BRDASA (Brazil)Faculdade da Serra Gaúcha · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2020, a global pandemic caused by SARS-CoV-2 was declared. Different institutes proposed diagnostic molecular methods to detect the virus in clinical samples. This study aims to validate and standardize the use of a loop-mediated isothermal amplification (LAMP)-based methodology targeting the viral

Indexed as

COVID-19Reverse TranscriptionDNA-Directed RNA PolymerasesHumansMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesRNA, ViralSARS-CoV-2DNA-Directed RNA PolymerasesRNA, Viralcoronavirus infectionsLAMPreverse transcriptase-mediated isothermal amplificationRP geneSARS-CoV-2

Identifiers

PMID37685863
PMCPMC10487735
OpenAlexW4386073843

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.