Evidence map›Paper›PMID 35763356›Full record

ArticleRevista medica del Instituto Mexicano del Seguro Social2022

[Anti-SARS-CoV-2 seroprevalence in administrative staff of the Mexican Institute for Social Security].

María Cristina Cedeño-Cuellar, Ana Karen Luna-Vargas, Erendira Tonantzin García-Hernández, Silvia Yolanda Vargas-Madrid, José Alberto Sánchez-Cañas, Alexis Ignacio Galván-Bobadilla, Carlos Fredy Cuevas-García, Gamaliel Benítez-Arvizu

Open access · greenAbstract read
In one paragraph

Article in Revista medica del Instituto Mexicano del Seguro Social, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 58% 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 citations in OpenAlex.

  1. [History of the 60 years of the 21th Century National Medical Center's Central Blood Bank].Revista medica del Instituto Mexicano del Seguro Social · 2023
    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

8 authors at 1 institution in 1 country.

María Cristina Cedeño-CuellarInstituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades "Dr. Bernardo Sepúlveda Gutiérrez", Servicio de Medicina Interna. Ciudad de México, México.ORCID 0000-0002-1108-7004
Ana Karen Luna-VargasInstituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades"Dr. Bernardo Sepúlveda Gutiérrez", Banco de Sangre. Ciudad de México, México.ORCID 0000-0001-7198-9045
Erendira Tonantzin García-HernándezInstituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades"Dr. Bernardo Sepúlveda Gutiérrez", Banco de Sangre. Ciudad de México, México.ORCID 0000-0002-1341-0290
Silvia Yolanda Vargas-MadridInstituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades"Dr. Bernardo Sepúlveda Gutiérrez", Banco de Sangre. Ciudad de México, México.ORCID 0000-0002-2537-678X
José Alberto Sánchez-CañasInstituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades"Dr. Bernardo Sepúlveda Gutiérrez", Banco de Sangre. Ciudad de México, México.ORCID 0000-0002-7401-470X
Alexis Ignacio Galván-BobadillaInstituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades"Dr. Bernardo Sepúlveda Gutiérrez", Banco de Sangre. Ciudad de México, México.ORCID 0000-0002-9972-9787
Carlos Fredy Cuevas-GarcíaInstituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades "Dr. Bernardo Sepúlveda Gutiérrez", Dirección General. Ciudad de México, México.ORCID 0000-0002-3314-5893
Gamaliel Benítez-ArvizuInstituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades"Dr. Bernardo Sepúlveda Gutiérrez", Banco de Sangre. Ciudad de México, México.ORCID 0000-0001-6065-7176
Hospital de Especialidades · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Asymptomatic subjects, the lack of diagnostic tests and, in countries like Mexico, the epidemiological surveillance method does not allow to establish the real number of infections in the COVID-19 pandemic. Frontline health personnel, as well as other groups related to priority activities are considered of high risk. We included administrative workers in contact with health personnel in the hospital units of the Mexican Institute for Social Security (IMSS, according to its initials in Spanish). Objective: To identify the seroprevalence of antibodies to SARS-CoV-2 in IMSS' administrative staff who does not treat patients. Material and methods: 76 volunteer participating individuals were incluided; IgG antibodies against the SARS-CoV-2 nucleoprotein were measured. A questionnaire was administered to the participants in order to identify possible risk factors. Results: 76 participants were included (39 men, 51.7%), with a median age of 42 years. 29 out of 76 subjects (38.2%), whose median age was 38 years (range 18-69 years); 15 men (51.7%), and 14 women (48.3%). A higher percentage of positive subjects under 45 years of age (n = 20, 84.2%) was observed than those aged 45 or over (n = 9, 25%), with an OR of 3 (95% CI 1.13-7.96, p = 0.03). No statistically significant difference was found regarding the type of comorbidity. Conclusions: The prevalence identified shows an important circulation of the virus in the administrative staff.

Indexed as

COVID-19Social SecurityAdolescentAdultAgedFemaleHumansMaleMexicoMiddle AgedPandemicsSARS-CoV-2Seroepidemiologic StudiesYoung AdultAdministrative PersonnelCOVID-19IgGSARS-CoV-2Seroprevalence

Identifiers

PMID35763356
PMCPMC10396060
OpenAlexW4283690489

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.