Evidence map›Paper›PMID 38793650›Full record

ArticleViruses2024

Retrospective Analysis of Severe Dengue by Dengue Virus Serotypes in a Population with Social Security, Mexico 2023.

Porfirio Felipe Hernández Bautista, David Alejandro Cabrera Gaytán, Clara Esperanza Santacruz Tinoco, Alfonso Vallejos Parás, Julio Elias Alvarado Yaah, Bernardo Martínez Miguel, Yu Mei Anguiano Hernández, Lumumba Arriaga Nieto, Alejandro Moctezuma Paz, Leticia Jaimes Betancourt and 4 more

Abstract read
In one paragraph

Article in Viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  4. Characterization of dengue cases in a family medicine unit in Mexico.Revista peruana de medicina experimental y salud publica · 2026
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  5. Review
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  7. Observational
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  10. [Epidemiological surveillance at IMSS: a review of institutional successes].Revista medica del Instituto Mexicano del Seguro Social · 2025
    Article
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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

14 authors.

Porfirio Felipe Hernández BautistaCoordinación de Calidad de Insumos y Laboratorios Especializados, Instituto Mexicano del Seguro Social, Ciudad de México 07760, Mexico.
David Alejandro Cabrera GaytánCoordinación de Calidad de Insumos y Laboratorios Especializados, Instituto Mexicano del Seguro Social, Ciudad de México 07760, Mexico.ORCID 0000-0001-5314-4786
Clara Esperanza Santacruz TinocoCoordinación de Calidad de Insumos y Laboratorios Especializados, Instituto Mexicano del Seguro Social, Ciudad de México 07760, Mexico.
Alfonso Vallejos ParásCoordinación de Vigilancia Epidemiológica, Instituto Mexicano del Seguro Social, Ciudad de México 03100, Mexico.ORCID 0000-0003-0972-8295
Julio Elias Alvarado YaahCoordinación de Calidad de Insumos y Laboratorios Especializados, Instituto Mexicano del Seguro Social, Ciudad de México 07760, Mexico.
Bernardo Martínez MiguelCoordinación de Calidad de Insumos y Laboratorios Especializados, Instituto Mexicano del Seguro Social, Ciudad de México 07760, Mexico.
Yu Mei Anguiano HernándezCoordinación de Calidad de Insumos y Laboratorios Especializados, Instituto Mexicano del Seguro Social, Ciudad de México 07760, Mexico.
Lumumba Arriaga NietoCoordinación de Vigilancia Epidemiológica, Instituto Mexicano del Seguro Social, Ciudad de México 03100, Mexico.ORCID 0000-0003-0243-768X
Alejandro Moctezuma PazCoordinación de Investigación en Salud, Instituto Mexicano del Seguro Social, Ciudad de México 06720, Mexico.
Leticia Jaimes BetancourtUnidad de Medicina Familiar No. 7, Instituto Mexicano del Seguro Social, Ciudad de México 14370, Mexico.
Yadira Pérez AndradeCoordinación de Vigilancia Epidemiológica, Instituto Mexicano del Seguro Social, Ciudad de México 03100, Mexico.
Oscar Cruz OrozcoCoordinación de Vigilancia Epidemiológica, Instituto Mexicano del Seguro Social, Ciudad de México 03100, Mexico.
Gabriel Valle AlvaradoCoordinación de Vigilancia Epidemiológica, Instituto Mexicano del Seguro Social, Ciudad de México 03100, Mexico.
Mónica Grisel Rivera MaheyCoordinación de Vigilancia Epidemiológica, Instituto Mexicano del Seguro Social, Ciudad de México 03100, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRisk factors for severe dengue manifestations have been attributed to various factors, including specific serotypes, sex, and age. Mexico has seen the re-emergence of DENV-3, which has not circulated in a decade.

objectiveTo describe dengue serotypes by age, sex, and their association with disease severity in dengue-positive serum samples from epidemiological surveillance system units. MATERIALS AND

methodsA descriptive analysis was conducted to evaluate the frequency of dengue severity by sex, age, disease quarter, geographical location, and dengue virus serotypes. The study was conducted using laboratory samples from confirmed dengue cases through RT-qPCR from the epidemiological surveillance laboratory network of the Mexican Social Security Institute, Mexico. Simple frequencies and proportions were calculated using the z-test for proportional differences between groups. Bivariate analysis with adjusted Chi2 was performed, and binary logistic regression models were constructed using the forward Wald method considering the model's predictive capacity. The measure of association was the odds ratio, with 95% confidence intervals. Statistical significance was set to an alpha level of <0.05.

resultsIn 2023, 10,441 samples were processed for dengue RT-qPCR at the IMSS, with a predominance of serotype DENV-3 (64.4%). The samples were mostly from women (52.0%) and outpatient cases (63.3%). The distribution of dengue severity showed significant variations by age, with a lower proportion of severe cases in young children and a higher proportion in the 5- to 14-year-old group. Hospitalizations increased significantly with severity. Warm regions had more cases overall and severity. Cases were most frequent from July to September. While DENV-2 was associated with severity, DENV-4 was not. Binary regression identified higher risk in women, age extremes, and DENV-2, with an overall predictive model of 58.5%.

conclusionsWomen, age groups at the extremes of life, and the DENV-2 serotype presented severe risk of dengue in a population with social security in Mexico during 2023.

Indexed as

Dengue VirusSerogroupSevere DengueAdolescentAdultAgedChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleMexicoMiddle AgedRetrospective StudiesdengueRT-qPCRserotypessevere dengue

Identifiers

PMID38793650
PMCPMC11125731

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.