Evidence map›Paper›PMID 32438331›Full record

ArticleDiabetes & metabolic syndrome

Diabetes and metabolic syndrome as risk factors for COVID-19.

Marko Marhl, Vladimir Grubelnik, Marša Magdič, Rene Markovič

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 46 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 3 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

46 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  17. [Influence of risk factors on mortality from COVID-19].Revista medica del Instituto Mexicano del Seguro Social · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Marko MarhlFaculty of Medicine, University of Maribor, SI-2000, Maribor, Slovenia; Faculty of Natural Sciences and Mathematics, University of Maribor, SI-2000, Maribor, Slovenia; Faculty of Education, University of Maribor, SI-2000, Maribor, Slovenia. Electronic address: marko.marhl@um.si.
Vladimir GrubelnikFaculty of Electrical Engineering and Computer Science, University of Maribor, SI-2000, Maribor, Slovenia.
Marša MagdičFaculty of Medicine, University of Maribor, SI-2000, Maribor, Slovenia.
Rene MarkovičFaculty of Natural Sciences and Mathematics, University of Maribor, SI-2000, Maribor, Slovenia; Faculty of Electrical Engineering and Computer Science, University of Maribor, SI-2000, Maribor, Slovenia. Electronic address: rene.markovic@um.si.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsClinical evidence exists that patients with diabetes are at higher risk for Coronavirus disease 2019 (COVID-19). We investigated the physiological origins of this clinical observation linking diabetes with severity and adverse outcome of COVID-19.

methodsPublication mining was applied to reveal common physiological contexts in which diabetes and COVID-19 have been investigated simultaneously. Overall, we have acquired 1,121,078 publications from PubMed in the time span between 01-01-2000 and 17-04-2020, and extracted knowledge graphs interconnecting the topics related to diabetes and COVID-19.

resultsThe Data Mining revealed three pathophysiological pathways linking diabetes and COVID-19. The first pathway indicates a higher risk for COVID-19 because of a dysregulation of Angiotensin-converting enzyme 2. The other two important physiological links between diabetes and COVID-19 are liver dysfunction and chronic systemic inflammation. A deep network analysis has suggested clinical biomarkers predicting the higher risk: Hypertension, elevated serum Alanine aminotransferase, high Interleukin-6, and low Lymphocytes count.

conclusionsThe revealed biomarkers can be applied directly in clinical practice. For newly infected patients, the medical history needs to be checked for evidence of a long-term, chronic dysregulation of these biomarkers. In particular, patients with diabetes, but also those with prediabetic state, deserve special attention.

Indexed as

Angiotensin-Converting Enzyme 2Angiotensin-Converting Enzyme InhibitorsBetacoronavirusCoronavirus InfectionsCOVID-19Diabetes MellitusHumansMetabolic SyndromePandemicsPeptidyl-Dipeptidase APneumonia, ViralSARS-CoV-2ACE2 protein, humanAngiotensin-Converting Enzyme 2Angiotensin-Converting Enzyme InhibitorsPeptidyl-Dipeptidase AACE2HypertensionInflammationLiver dysfunctionSARS-Coronavirus-2

Identifiers

PMID32438331
PMCPMC7205616

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.