Evidence map›Paper›PMID 34620977›Full record

ArticleScientific reports2021

ATR-FTIR spectrum analysis of saliva samples from COVID-19 positive patients.

Adriana Martinez-Cuazitl, Gustavo J Vazquez-Zapien, Miguel Sanchez-Brito, Jorge H Limon-Pacheco, Melissa Guerrero-Ruiz, Francisco Garibay-Gonzalez, Raul J Delgado-Macuil, Maria G Garcia de Jesus, Miguel A Corona-Perezgrovas, Armando Pereyra-Talamantes and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
14.2field-weighted citation impact, top 1% 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

33 citing papers in PubMed, 77 citations in OpenAlex.

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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 5 institutions in 1 country.

Adriana Martinez-CuazitlEscuela Militar de Medicina, Centro Militar de Ciencias de la Salud, Secretaría de la Defensa Nacional, 11200, Mexico City, Mexico.
Gustavo J Vazquez-ZapienEscuela Militar de Medicina, Centro Militar de Ciencias de la Salud, Secretaría de la Defensa Nacional, 11200, Mexico City, Mexico.
Miguel Sanchez-BritoTecNM/Instituto Tecnológico de Aguascalientes, 20256, Aguascalientes, Mexico.
Jorge H Limon-PachecoEscuela Militar de Medicina, Centro Militar de Ciencias de la Salud, Secretaría de la Defensa Nacional, 11200, Mexico City, Mexico.
Melissa Guerrero-RuizEscuela Militar de Medicina, Centro Militar de Ciencias de la Salud, Secretaría de la Defensa Nacional, 11200, Mexico City, Mexico.
Francisco Garibay-GonzalezEscuela Militar de Medicina, Centro Militar de Ciencias de la Salud, Secretaría de la Defensa Nacional, 11200, Mexico City, Mexico.
Raul J Delgado-MacuilCIBA-Tlaxcala, Instituto Politécnico Nacional, 90700, Tlaxcala, Mexico.
Maria G Garcia de JesusUniversidad Politécnica de Cuautitlán Izcalli, 54760, Estado de México, Mexico.
Miguel A Corona-PerezgrovasHospital Central Militar, Secretaría de la Defensa Nacional, 11200, Mexico City, Mexico.
Armando Pereyra-TalamantesHospital Central Militar, Secretaría de la Defensa Nacional, 11200, Mexico City, Mexico.
Monica M Mata-MirandaEscuela Militar de Medicina, Centro Militar de Ciencias de la Salud, Secretaría de la Defensa Nacional, 11200, Mexico City, Mexico. mmcmaribel@gmail.com.
Secretaría de la Defensa NacionalHospital Central Militar · MXInstituto Politécnico Nacional · MXUniversidad de Cuautitlán Izcalli · MXUniversidad Tecnológica de Aguascalientes · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) is the latest biological hazard for the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Even though numerous diagnostic tests for SARS-CoV-2 have been proposed, new diagnosis strategies are being developed, looking for less expensive methods to be used as screening. This study aimed to establish salivary vibrational modes analyzed by attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy to detect COVID-19 biological fingerprints that allow the discrimination between COVID-19 and healthy patients. Clinical dates, laboratories, and saliva samples of COVID-19 patients (N = 255) and healthy persons (N = 1209) were obtained and analyzed through ATR-FTIR spectroscopy. Then, a multivariate linear regression model (MLRM) was developed. The COVID-19 patients showed low SaO

Indexed as

AdultAgedCOVID-19COVID-19 TestingFemaleHumansImmunoglobulinsMaleMiddle AgedOxygenSalivaSARS-CoV-2Spectroscopy, Fourier Transform InfraredImmunoglobulinsOxygen

Identifiers

PMID34620977
PMCPMC8497525
OpenAlexW3175677154

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.