Evidence map›Paper›PMID 38630736›Full record

ArticlePloS one2024

Comorbidities and their association with COVID-19 mortality in Mexico between January 2020 and August 2021.

Ryan J Lowhorn, Mohammed Chowdhury, Symon Kimitei, Sammie Haskin, Mohammad Masum, A K M Fazlur Rahman

Abstract read
In one paragraph

Article in PloS one, 2024. 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
–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

1 citing paper in PubMed.

  1. 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

6 authors.

Ryan J LowhornSchool of Data Science and Analytics, Kennesaw State University, Kennesaw, Georgia, United States of America.ORCID 0000-0002-1322-3786
Mohammed ChowdhuryCollege of Business and Technology, Western Illinois University, Macomb, Illinois, United States of America.
Symon KimiteiSchool of Data Science and Analytics, Kennesaw State University, Kennesaw, Georgia, United States of America.
Sammie HaskinSchool of Data Science and Analytics, Kennesaw State University, Kennesaw, Georgia, United States of America.
Mohammad MasumSan Jose State University, San Jose, California, United States of America.
A K M Fazlur RahmanDepartment of Biostatistics, University of Alabama, Birmingham, Alabama, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By August 17, 2021, 4.3 million people had died globally as a result of SARS-CoV-2 infection. While data collection is ongoing, it is abundantly obvious that this is one of the most significant public health crises in modern history. Consequently, global efforts are being made to attain a greater understanding of this disease and to identify risk factors associated with more severe outcomes. The goal of this study is to identify clinical characteristics and risk factors associated with COVID-19 mortality in Mexico. The dataset used in this study was released by Sistema Nacional de Vigilancia Epidemiologica de Enfermedades Respiratorias (SISVER) de la Secretaría de Salud and contains 2.9 million COVID-19 cases. The effects of risk factors on COVID-19 mortality were estimated using multivariable logistic regression models with generalized estimation equation and Kaplan-Meier curves. Case fatality rates, case hospitalization rates are also reported using the Centers for Disease Control and Prevention (CDC) USA death-to-case ratio method. In general, older males with pre-existing conditions had higher odds of death. Age greater than 40, male sex, hypertension, diabetes, and obesity are associated with higher COVID-19 mortality. End-stage renal disease, chronic obstructive pulmonary disease, and immunosuppression are all linked with COVID-19 patient fatalities. Smoking and Asthma are associated with lower COVID-19 mortality which is consistent with findings from the article published in Nature based on National Health Service (NHS) of UK dataset (17 million cases). Intensive care unit (ICU), patient intubation, and pneumonia diagnosis are shown to substantially increase mortality risk for COVID-19 patients.

Indexed as

COVID-19ComorbidityHospitalizationHumansMaleMexicoRisk FactorsSARS-CoV-2State Medicine

Identifiers

PMID38630736
PMCPMC11023256

What OpenQuestion holds

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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.