Evidence map›Paper›PMID 39541480›Full record

ArticleRevista medica del Instituto Mexicano del Seguro Social2024

[Seroprevalence and risk factor for hepatitis C in Nogales, Sonora].

Jesús Antonio Pérez-Mercado, Diana Lizeth Gallegos-Durazo, Jorge Rafael Hernández-Donnadieu, Edgar Daniel Copado-Villagrana

Abstract readEnglish Abstract
In one paragraph

Article in Revista medica del Instituto Mexicano del Seguro Social, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Jesús Antonio Pérez-MercadoInstituto Mexicano del Seguro Social, Hospital General de Zona No. 5, Coordinación Clínica de Educación e Investigación. Nogales, Sonora, México.ORCID 0009-0001-9459-0384
Diana Lizeth Gallegos-DurazoInstituto Mexicano del Seguro Social, Hospital General de Zona con Medicina Familiar No. 23, Unidad de Vigilancia Epidemiológica Hospitalaria. Parral, Chihuahua, México.ORCID 0009-0001-8761-9564
Jorge Rafael Hernández-DonnadieuInstituto Mexicano del Seguro Social, Órgano de Operación Administrativa Desconcentrado en Sonora, Coordinación Auxiliar de Investigación en Salud. Ciudad Obregón, Sonora, México.ORCID 0000-0002-9646-0858
Edgar Daniel Copado-VillagranaInstituto Mexicano del Seguro Social, Unidad de Medicina Familiar No. 5, Unidad de Vigilancia Epidemiológica. Nogales, Sonora, México.ORCID 0000-0002-6265-0485

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hepatitis C Virus (HCV) infection represents a global public health problem, but in Mexico, the Ministry of Health through the National Epidemiological Surveillance System (SINAVE) only reports the distribution of incident cases by state, sex and epidemiological week. Objective: To determine the seroprevalence and factors associated with HCV in beneficiaries of a Family Medicine Unit of the Mexican Social Security Institute (IMSS) in the city of Nogales, Sonora, located on the border between Mexico and the United States. Material and methods: Cross-sectional study that included 145 beneficiaries with rapid HCV antibody test results. Information on risk factors was obtained through direct questioning. To compare groups of reactive and non-reactive patients, Fisher's Exact Test was used and a Logistic Regression model to determine Odds Ratio (OR) values. A P value <0.05 was considered statistically significant. Results: A seroprevalence of 2.8% (95%CI: 0.8 - 6.9) was determined and through the logistic regression model it was found that the history of transfusions (OR: 151.2, 95%CI: 5.9 - 3.858.0) and the use of intranasal drugs (OR: 20.81, 95%CI: 1.3 - 331.3) increase the risk of infection. Conclusions: The seroprevalence of HCV in Nogales is higher than that of the rest of Mexico. Recent studies establish a history of transfusion as a risk factor, but few have explored intranasal drug use.

Indexed as

Hepatitis CAdolescentAdultAgedCross-Sectional StudiesFemaleHumansMaleMexicoMiddle AgedRisk FactorsSeroepidemiologic StudiesYoung AdultHepatitis CIntranasal Drug AdministrationsRisk FactorsSeroepidemiologic Studies

Identifiers

PMID39541480
PMCPMC12331360

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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.