Evidence map›Paper›PMID 32805345›Full record

Observational studyDiabetes research and clinical practice2020

Newly-diagnosed diabetes and admission hyperglycemia predict COVID-19 severity by aggravating respiratory deterioration.

Gian Paolo Fadini, Mario Luca Morieri, Federico Boscari, Paola Fioretto, Alberto Maran, Luca Busetto, Benedetta Maria Bonora, Elisa Selmin, Gaetano Arcidiacono, Silvia Pinelli and 12 more

Open access · bronzeAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Diabetes research and clinical practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 130 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
130citing papers in PubMed, 11 pooled it
34.9field-weighted citation impact, top 1% of its field
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

130 citing papers in PubMed, 11 syntheses or guidelines pooled it, 230 citations in OpenAlex.

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  4. Glucocorticoid-Induced Hyperglycemia Including Dexamethasone-Associated Hyperglycemia in COVID-19 Infection: A Systematic Review.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2022
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70 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 1 institution in 1 country.

Gian Paolo FadiniDepartment of Medicine, University of Padova, Italy. Electronic address: gianpaolo.fadini@unipd.it.
Mario Luca MorieriDepartment of Medicine, University of Padova, Italy.
Federico BoscariDepartment of Medicine, University of Padova, Italy.
Paola FiorettoDepartment of Medicine, University of Padova, Italy.
Alberto MaranDepartment of Medicine, University of Padova, Italy.
Luca BusettoDepartment of Medicine, University of Padova, Italy.
Benedetta Maria BonoraDepartment of Medicine, University of Padova, Italy.
Elisa SelminDepartment of Medicine, University of Padova, Italy.
Gaetano ArcidiaconoDepartment of Medicine, University of Padova, Italy.
Silvia PinelliDepartment of Medicine, University of Padova, Italy.
Filippo FarniaDepartment of Medicine, University of Padova, Italy.
Daniele FalaguastaDepartment of Medicine, University of Padova, Italy.
Lucia RussoDepartment of Medicine, University of Padova, Italy.
Giacomo VoltanDepartment of Medicine, University of Padova, Italy.
Sara MazzocutDepartment of Medicine, University of Padova, Italy.
Giorgia CostantiniDepartment of Medicine, University of Padova, Italy.
Francesca GhirardiniDepartment of Medicine, University of Padova, Italy.
Silvia TressoDepartment of Medicine, University of Padova, Italy.
Anna Maria CattelanUnit of Infectious Disease, University Hospital of Padova, Italy.
Andrea VianelloDepartment of Cardiothoracic Vascular Sciences and Public Health, University of Padova, Italy.
Angelo AvogaroDepartment of Medicine, University of Padova, Italy.
Roberto VettorDepartment of Medicine, University of Padova, Italy.
University of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsWe investigated whether pre-existing diabetes, newly-diagnosed diabetes, and admission hyperglycemia were associated with COVID-19 severity independently from confounders.

methodsWe retrospectively analyzed data on patients with COVID-19 hospitalized between February and April 2020 in an outbreak hospital in North-East Italy. Pre-existing diabetes was defined by self-reported history, electronic medical records, or ongoing medications. Newly-diagnosed diabetes was defined by HbA1c and fasting glucose. The primary outcome was a composite of ICU admission or death.

results413 subjects were included, 107 of whom (25.6%) had diabetes, including 21 newly-diagnosed. Patients with diabetes were older and had greater comorbidity burden. The primary outcome occurred in 37.4% of patients with diabetes compared to 20.3% in those without (RR 1.85; 95%C.I. 1.33-2.57; p < 0.001). The association was stronger for newly-diagnosed compared to pre-existing diabetes (RR 3.06 vs 1.55; p = 0.004). Higher glucose level at admission was associated with COVID-19 severity, with a stronger association among patients without as compared to those with pre-existing diabetes (interaction p < 0.001). Admission glucose was correlated with most clinical severity indexes and its association with adverse outcome was mostly mediated by a worse respiratory function.

conclusionNewly-diagnosed diabetes and admission hyperglycemia are powerful predictors of COVID-19 severity due to rapid respiratory deterioration.

Indexed as

Patient AdmissionAgedAged, 80 and overAge of OnsetBetacoronavirusBlood GlucoseComorbidityCoronavirus InfectionsCOVID-19Diabetes ComplicationsDiabetes MellitusFemaleHumansHyperglycemiaItalyMaleBlood GlucoseMediationMetabolismObservationalPredictionSARS-CoV-2Survival

Identifiers

PMID32805345
PMCPMC7428425
OpenAlexW3048651951

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.