Evidence map›Paper›PMID 41159053›Full record

ArticleRevista panamericana de salud publica = Pan American journal of public health2025

Clinical risk modeling and epidemiological surveillance of SARI in Cali, Colombia.

Pablo Roa-Urrutia, Andrés F Valencia-Cardona, Gissel Guzmán-Escarria, Sebastian Cruz-Barbosa, María E Ortiz-Carrillo, Carlos Reina, Jorge I Montoya-Salazar, Anthony Garcés-Hurtado, David Arango-Londoño, German Ávila and 1 more

Abstract read
In one paragraph

Article in Revista panamericana de salud publica = Pan American journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Pablo Roa-UrrutiaDepartment of Epidemiological Surveillance Secretariat of Health Cali Colombia Department of Epidemiological Surveillance, Secretariat of Health, Cali, Colombia.
Andrés F Valencia-CardonaGrupo de Investigación en Salud Integral (GISI) Faculty of Health Santiago de Cali University Cali Colombia Grupo de Investigación en Salud Integral (GISI), Faculty of Health, Santiago de Cali University, Cali, Colombia.
Gissel Guzmán-EscarriaDepartment of Epidemiological Surveillance Secretariat of Health Cali Colombia Department of Epidemiological Surveillance, Secretariat of Health, Cali, Colombia.
Sebastian Cruz-BarbosaGrupo de Investigación en Salud Integral (GISI) Faculty of Health Santiago de Cali University Cali Colombia Grupo de Investigación en Salud Integral (GISI), Faculty of Health, Santiago de Cali University, Cali, Colombia.
María E Ortiz-CarrilloDepartment of Epidemiological Surveillance Secretariat of Health Cali Colombia Department of Epidemiological Surveillance, Secretariat of Health, Cali, Colombia.
Carlos ReinaFundación Universitaria del Área Andina Bogotá Colombia Fundación Universitaria del Área Andina, Bogotá, Colombia.
Jorge I Montoya-SalazarDepartment of Epidemiological Surveillance Secretariat of Health Cali Colombia Department of Epidemiological Surveillance, Secretariat of Health, Cali, Colombia.
Anthony Garcés-HurtadoDepartment of Epidemiological Surveillance Secretariat of Health Cali Colombia Department of Epidemiological Surveillance, Secretariat of Health, Cali, Colombia.
David Arango-LondoñoEMAP Research Group - Statistics and Applied Mathematics Pontificia Universidad Javeriana Cali Colombia EMAP Research Group - Statistics and Applied Mathematics, Pontificia Universidad Javeriana, Cali, Colombia.
German ÁvilaDepartment of Epidemiological Surveillance Secretariat of Health Cali Colombia Department of Epidemiological Surveillance, Secretariat of Health, Cali, Colombia.
Alberto Concha-EastmanDepartment of Epidemiological Surveillance Secretariat of Health Cali Colombia Department of Epidemiological Surveillance, Secretariat of Health, Cali, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To analyze clinical risk models using epidemiological surveillance and hospital data (2022-2024) in Cali, Colombia to identify drivers of respiratory failure in patients hospitalized with severe acute respiratory infection. Methods: A cross-sectional analytical study was conducted using secondary data from notification file 348, which is part of the Colombian National Public Health Surveillance System. A total of 2 354 hospitalized cases of severe acute respiratory infection were analyzed after quality control and exclusion of inconsistent records. Bivariate and multivariable analyses were performed using chi-squared tests and generalized linear models, respectively, to determine the factors associated with respiratory failure (outcome variable). Results: Among all cases, 7.3% had respiratory failure. Not having health insurance and having a high multidimensional poverty index score were significantly associated with respiratory failure (both Conclusions: The study highlights the relevance of co-morbidities and social vulnerability in the development of respiratory failure among cases of severe acute respiratory infection. These findings support the implementation of clinical audit tools and targeted risk management strategies to improve timely care and reduce adverse outcomes in high-risk populations.

Indexed as

Colombiapublic health surveillancerespiratory insufficiencyRespiratory tract infectionsrisk factors

Identifiers

PMID41159053
PMCPMC12558121

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LicenceCC BY-NC-ND
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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.