Evidence map›Paper›PMID 33352454›Full record

ArticleDiabetes & metabolic syndrome

Clinical characteristics and short-term prognosis of in-patients with diabetes and COVID-19: A retrospective study from an academic center in Belgium.

Laura Orioli, Thomas Servais, Leïla Belkhir, Pierre-François Laterre, Jean-Paul Thissen, Bernard Vandeleene, Dominique Maiter, Jean C Yombi, Michel P Hermans

Abstract read
In one paragraph

Article in Diabetes & metabolic syndrome. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 11 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

20 citing papers in PubMed, 11 syntheses or guidelines pooled it.

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  17. Use of Novel Antidiabetic Agents in Patients with Type 2 Diabetes and COVID-19: A Critical Review.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2021
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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

9 authors.

Laura OrioliDepartment of Endocrinology and Nutrition, Cliniques Universitaires Saint-Luc, Avenue Hippocrate, 10, 1200, Brussels, Belgium; Department of Endocrinology, Diabetology and Nutrition, IREC, UCLouvain, Avenue Hippocrate 55, 1200, Brussels, Belgium. Electronic address: laura.orioli@uclouvain.be.
Thomas ServaisDepartment of Endocrinology and Nutrition, Cliniques Universitaires Saint-Luc, Avenue Hippocrate, 10, 1200, Brussels, Belgium.
Leïla BelkhirDepartment of Internal Medicine, Cliniques Universitaires Saint-Luc, Avenue Hippocrate, 10, 1200, Brussels, Belgium.
Pierre-François LaterreDepartment of Acute Medicine, Cliniques Universitaires Saint-Luc, Avenue Hippocrate, 10, 1200, Brussels, Belgium.
Jean-Paul ThissenDepartment of Endocrinology and Nutrition, Cliniques Universitaires Saint-Luc, Avenue Hippocrate, 10, 1200, Brussels, Belgium; Department of Endocrinology, Diabetology and Nutrition, IREC, UCLouvain, Avenue Hippocrate 55, 1200, Brussels, Belgium.
Bernard VandeleeneDepartment of Endocrinology and Nutrition, Cliniques Universitaires Saint-Luc, Avenue Hippocrate, 10, 1200, Brussels, Belgium.
Dominique MaiterDepartment of Endocrinology and Nutrition, Cliniques Universitaires Saint-Luc, Avenue Hippocrate, 10, 1200, Brussels, Belgium; Department of Endocrinology, Diabetology and Nutrition, IREC, UCLouvain, Avenue Hippocrate 55, 1200, Brussels, Belgium.
Jean C YombiDepartment of Internal Medicine, Cliniques Universitaires Saint-Luc, Avenue Hippocrate, 10, 1200, Brussels, Belgium.
Michel P HermansDepartment of Endocrinology and Nutrition, Cliniques Universitaires Saint-Luc, Avenue Hippocrate, 10, 1200, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsWe describe the characteristics and short-term prognosis of in-patients with diabetes and COVID-19 admitted to a Belgian academic care center.

methodsWe retrospectively reviewed the data on admission from patients with known or newly-diagnosed diabetes and confirmed COVID-19. First, survivors were compared to non-survivors to study the predictive factors of in-hospital death in patients with diabetes. Secondly, diabetic patients with SARS-CoV-2 pneumonia were matched for age and sex with non-diabetic patients with SARS-CoV-2 pneumonia, to study the prognosis and predictive factors of in-hospital death related to diabetes.

resultsSeventy-three diabetic patients were included. Mean age was 69 (±14) years. Women accounted for 52%. Most patients had type 2 diabetes (89.0%), long-term complications of hyperglycemia (59.1%), and hypertension (80.8%). The case-fatality rate (CFR) was 15%. Non-survivors had more severe pneumonia based on imaging (p 0.029) and were less often treated with metformin (p 0.036). In patients with SARS-CoV-2 pneumonia, CFR was 15.6% in diabetic (n = 64) and 25.0% in non-diabetic patients (n = 128), the difference being non-significant (p 0.194). Predictive factors of in-hospital death were elevated white blood cells count (HR 9.4, CI 1.50-58.8, p 0.016) and severe pneumonia on imaging (HR 25.0, CI 1.34-466, p 0.031) in diabetic patients, and cognitive impairment (HR 5.80, CI 1.61-20.9, p 0.007) and cardiovascular disease (HR 5.63, CI 1.54-20.6, p 0.009) in non-diabetic patients.

conclusionIn this monocentric cohort from Belgium, diabetic in-patients with COVID-19 had mostly type 2 diabetes, prevalent hyperglycemia-related vascular complications and comorbidities including hypertension. In this cohort, the CFR was not statistically different between patients with and without diabetes.

Indexed as

Academic Medical CentersAgedAged, 80 and overBelgiumComorbidityCOVID-19Diabetes Mellitus, Type 2FemaleHospitalizationHumansMaleMiddle AgedPrognosisRetrospective StudiesTime FactorsCOVID-19DiabetesObesityPneumoniaSARS-CoV-2

Identifiers

PMID33352454
PMCPMC7833262

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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.