Evidence map›Paper›PMID 35162294›Full record

ArticleInternational journal of environmental research and public health2022

Surveillance Web System and Mouthwash-Saliva qPCR for Labor Ambulatory SARS-CoV-2 Detection and Prevention.

Gustavo Mora-Aguilera, Verónica Martínez-Bustamante, Gerardo Acevedo-Sánchez, Juan J Coria-Contreras, Eduardo Guzmán-Hernández, Oscar E Flores-Colorado, Coral Mendoza-Ramos, Gabriel Hernández-Nava, Ikuri Álvarez-Maya, M Alejandra Gutiérrez-Espinosa and 3 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. 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

13 authors at 2 institutions in 1 country.

Gustavo Mora-AguileraLaboratory of Epidemiological Risk Analysis (LANREF), Montecillo Campus, Postgraduate College, Texcoco 56230, CP, Mexico.
Verónica Martínez-BustamanteLaboratory of Epidemiological Risk Analysis (LANREF), Montecillo Campus, Postgraduate College, Texcoco 56230, CP, Mexico.
Gerardo Acevedo-SánchezLaboratory of Epidemiological Risk Analysis (LANREF), Montecillo Campus, Postgraduate College, Texcoco 56230, CP, Mexico.ORCID 0000-0003-3076-8590
Juan J Coria-ContrerasLaboratory of Epidemiological Risk Analysis (LANREF), Montecillo Campus, Postgraduate College, Texcoco 56230, CP, Mexico.
Eduardo Guzmán-HernándezLaboratory of Epidemiological Risk Analysis (LANREF), Montecillo Campus, Postgraduate College, Texcoco 56230, CP, Mexico.
Oscar E Flores-ColoradoLaboratory of Epidemiological Risk Analysis (LANREF), Montecillo Campus, Postgraduate College, Texcoco 56230, CP, Mexico.
Coral Mendoza-RamosLaboratory of Epidemiological Risk Analysis (LANREF), Montecillo Campus, Postgraduate College, Texcoco 56230, CP, Mexico.
Gabriel Hernández-NavaLaboratory of Epidemiological Risk Analysis (LANREF), Montecillo Campus, Postgraduate College, Texcoco 56230, CP, Mexico.
Ikuri Álvarez-MayaCenter for Research and Applied Technology in Jalisco (CIATEJ), Jalisco 44270, CP, Mexico.ORCID 0000-0002-2536-5650
M Alejandra Gutiérrez-EspinosaLaboratory of Epidemiological Risk Analysis (LANREF), Montecillo Campus, Postgraduate College, Texcoco 56230, CP, Mexico.
Raael Gómez-LintonLaboratory of Epidemiological Risk Analysis (LANREF), Montecillo Campus, Postgraduate College, Texcoco 56230, CP, Mexico.
Ana Carolina Robles-BustamanteSecretary of Health-CDMX, Mexico City 06900, CP, Mexico.
Alberto Gallardo-HernándezSecretary of Health-CDMX, Mexico City 06900, CP, Mexico.
Colegio de Postgraduados · MXSecretaría de Salud de Jalisco · MX

Funding

CONACYT, Postgraduate College and Laboratory of Epidemiological Risk Analysis None
6 · The paper itself

Abstract

This study provides a safe and low-cost in-house protocol for RT-qPCR-based detection of SARS-CoV-2 using mouthwash-saliva self-collected specimens to achieve clinical and epidemiological surveillance in a real-time web environment applied to ambulatory populations. The in-house protocol comprises a mouthwash-saliva self-collected specimen, heat virus inactivation, and primers to target virus N-gene region and the human RPP30-gene. Aligning with 209 SARS-CoV-2 sequences confirmed specificity including the Alpha variant from the UK. Development, validation, and statistical comparison with official nasopharyngeal swabbing RT-qPCR test were conducted with 115 specimens of ambulatory volunteers. A web-mobile application platform was developed to integrate a real-time epidemiological and clinical core baseline database with mouthwash-saliva RT-qPCR testing. Nine built-in algorithms were generated for decision-making on testing, confining, monitoring, and self-reports to family, social, and work environments. Epidemiological and clinical follow-up and SARS-CoV-2 testing generated a database of 37,351 entries allowing individual decision-making for prevention. Mouthwash-saliva had higher sensitivity than nasopharyngeal swabbing in detecting asymptomatic and mild symptomatic cases with 720 viral copy number (VCN)/mL as the detection limit (Ct = 37.6). Cycling threshold and viral loading were marginally different (

Indexed as

COVID-19MouthwashesCOVID-19 TestingFemaleHumansSalivaSARS-CoV-2Specimen HandlingMouthwashescoronavirusCOVID-19monitoringpreventionsurveillance

Identifiers

PMID35162294
PMCPMC8835463
OpenAlexW4210746107

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.