Evidence map›Paper›PMID 40314776›Full record

Observational studyActa diabetologica2025

Hyperglycemia in the diabetic range, but not previous diagnosis of diabetes mellitus, is an independent indicator of poor outcome in patients hospitalized for severe COVID-19.

Alessandra Dei Cas, Raffaella Aldigeri, Elisa Eletto, Andrea Ticinesi, Antonio Nouvenne, Beatrice Prati, Angela Vazzana, Monica Antonini, Valentina Moretti, Emanuela Balestreri and 7 more

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in Acta diabetologica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04550403 (Clinical Phenotype and Outcomes of Inpatients With COVID-19 and Diabetes), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT04550403 completednot on this map

Clinical Phenotype and Outcomes of Inpatients With COVID-19 and Diabetes

TypeobservationalSponsorAzienda Ospedaliero-Universitaria di ParmaRan2020 to 2021Enrolled757ConditionsDiabetes Mellitus, Covid19
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. 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

17 authors.

Alessandra Dei CasEndocrinology and Metabolic Diseases, Azienda Ospedaliero-Universitaria of Parma, Via Gramsci 14, 43126, Parma, Italy.
Raffaella AldigeriEndocrinology and Metabolic Diseases, Azienda Ospedaliero-Universitaria of Parma, Via Gramsci 14, 43126, Parma, Italy.
Elisa ElettoEndocrinology and Metabolic Diseases, Azienda Ospedaliero-Universitaria of Parma, Via Gramsci 14, 43126, Parma, Italy.
Andrea TicinesiDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Antonio NouvenneDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Beatrice PratiDepartment of Care Continuity and Multicomplexity, Azienda Ospedaliero-Universitaria of Parma, Parma, Italy.
Angela VazzanaEndocrinology and Metabolic Diseases, Azienda Ospedaliero-Universitaria of Parma, Via Gramsci 14, 43126, Parma, Italy.
Monica AntoniniEndocrinology and Metabolic Diseases, Azienda Ospedaliero-Universitaria of Parma, Via Gramsci 14, 43126, Parma, Italy.
Valentina MorettiEndocrinology and Metabolic Diseases, Azienda Ospedaliero-Universitaria of Parma, Via Gramsci 14, 43126, Parma, Italy.
Emanuela BalestreriEndocrinology and Metabolic Diseases, Azienda Ospedaliero-Universitaria of Parma, Via Gramsci 14, 43126, Parma, Italy.
Valentina SpigoniDepartment of Medicine and Surgery, University of Parma, Parma, Italy.ORCID http://orcid.org/0000-0001-5716-1671
Federica FantuzziDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Silvia SchiròDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Livia RuffiniNuclear Medicine, Azienda Ospedaliero-Universitaria of Parma, Parma, Italy.
Nicola SverzellatiDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Tiziana MeschiDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Riccardo BonadonnaEndocrinology and Metabolic Diseases, Azienda Ospedaliero-Universitaria of Parma, Via Gramsci 14, 43126, Parma, Italy. riccardo.bonadonna@unipr.it.ORCID http://orcid.org/0000-0002-9809-1005

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsDiabetes mellitus (DM) and hyperglycemia are associated with poor outcome(s) in COVID-19 hospitalized patients, but their independent impact on prognosis remains unclear. We aimed to assess the impact of DM and hyperglycemia on COVID-19 outcomes.

methodsClinical data/records from COVID-19 patients admitted to the Parma University-Hospital (February 23rd to March 31st, 2020) were retrieved and analysed (NCT04550403). Fasting plasma glucose (FPG), inflammatory markers and the main biochemical variables were collected at admission. Patients underwent chest high-resolution CT and arterial blood gas analysis to determine the PaO

resultsAmong 756 subjects, 143 (19%) had DM. These patients were older with higher comorbidity rates. The primary outcome occurred in 61.5% DM patients versus 43.4% without DM (p < 0.001). In multivariable analysis (accuracy UC = 0.93), older age, cardiovascular and kidney diseases, FPG ≥ 126 mg/dl, C-reactive protein, and P/F ratio, but not previous DM, were independent risk indicators.

conclusionsDM indicated poor COVID-19 outcomes, but not when adjusted for other clinical variables/comorbities, suggesting that its impact was mostly driven by concomitant factors. The independent role of fasting hyperglycemia points to the need for further research on its contribution to COVID-19.

Indexed as

COVID-19Diabetes MellitusHyperglycemiaAgedAged, 80 and overBlood GlucoseFemaleHospitalizationHumansIntensive Care UnitsMaleMiddle AgedPrognosisRisk FactorsSARS-CoV-2Blood GlucoseCOVID-19Diabetes mellitusHyperglycemiaMortality

Identifiers

PMID40314776
PMCPMC12578703

What Socratic holds

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LicenceCC BY
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Registered trials

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 Socratic graph.