Evidence map›Paper›PMID 37663697›Full record

ArticleAnnals of medicine and surgery (2012)2023

Prevalence and impact of diabetes mellitus in hospitalized COVID-19 patients in a Tunisian Center: a cross-sectional study.

Sana Rouis, Dhekra Chebil, Wided Debbabi, Hajer Hannachi, Hela Sakly, Sondes Chermiti, Hajer Marzouk, Issam Kharrat, Slim Samet, Latifa Merzougui

Open access · diamondAbstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 2023. 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, top 84% of its field
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

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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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors at 4 institutions in 4 countries.

Sana RouisInfectious Diseases Department.
Dhekra ChebilPreventive Medicine Department.
Wided DebbabiDepartment of Medicine, Ibn Al Jazzar University Hospital, Kairouan.
Hajer HannachiPreventive Medicine Department.
Hela SaklyInfectious Diseases Department.
Sondes ChermitiDepartment of Medicine, Ibn Al Jazzar University Hospital, Kairouan.
Hajer MarzoukDepartment of Medicine, Ibn Al Jazzar University Hospital, Kairouan.
Issam KharratDepartment of Medicine, Ibn Al Jazzar University Hospital, Kairouan.
Slim SametDepartment of Medicine, Ibn Al Jazzar University Hospital, Kairouan.
Latifa MerzouguiPreventive Medicine Department.
Ibn Sina Hospital · KWGeneral Department of Preventive Medicine · VNOffice of Infectious Diseases · USUniversity of Sousse · TN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The outbreak of the coronavirus disease 2019 (COVID-19) has become an evolving worldwide health crisis. With the rising prevalence of diabetes mellitus has come an increasing awareness of their impacts on infectious diseases, and the risk for postinfection complications and mortality from critical infections. Objective: The objective of this study was to evaluate the prevalence and impact of diabetes mellitus on the severity and mortality of COVID-19. Methods: Data of laboratory-confirmed hospitalized patients at the COVID-19 unit between September 2020 and August 2021 were analyzed, in a cross-sectional study. The population was classified into two groups: COVID-19 patients with and without diabetes. Primary outcomes were the overall length of hospital stay, the admission to the ICU, and death. The association between diabetes and death was assessed in a Cox proportional hazards model. Results: A total of 866 patients were included. There were 270 (31.2%) patients with diabetes. Diabetic patients were more likely to have hypertension (58.1 vs. 33.4%), cardiovascular disease (18.5 vs. 10.4%), and dyslipidaemia (17.8 vs. 7.2). Overall, 263 patients died, among them only 86 in the diabetic group ( Conclusion: Diabetes was associated with a greater risk of complications in patients with COVID-19. Special attention to diabetic patients during treatment must be given to avoid these complications.

Indexed as

complicationsCOVID-19deathdiabetes mellitusintensive care unitsSARS-CoV-2Tunisia

Identifiers

PMID37663697
PMCPMC10473318
OpenAlexW4386407439

What OpenQuestion holds

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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.