Evidence mapPaperPMID 36939895Full record

Observational studyActa diabetologica2023

Glycemic control predicts SARS-CoV-2 prognosis in diabetic subjects.

Carla Greco, Tommaso Pirotti, Giulia Brigante, Tommaso Filippini, Chiara Pacchioni, Tommaso Trenti, Manuela Simoni, Daniele Santi

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Acta diabetologica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  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

8 authors at 2 institutions in 2 countries.

Carla GrecoUnit of Endocrinology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Giardini 1355, 41126, Modena, Italy. carlagreco@unimore.it.ORCID http://orcid.org/0000-0002-9675-3677
Tommaso PirottiDepartment of Laboratory Medicine and Anatomy Pathology, Azienda USL Modena, Modena, Italy.
Giulia BriganteUnit of Endocrinology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Giardini 1355, 41126, Modena, Italy.
Tommaso FilippiniEnvironmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Chiara PacchioniUnit of Endocrinology, Department of Medical Specialties, Azienda Ospedaliero-Universitaria Di Modena, Ospedale Civile Di Baggiovara, Modena, Italy.
Tommaso TrentiDepartment of Laboratory Medicine and Anatomy Pathology, Azienda USL Modena, Modena, Italy.
Manuela SimoniUnit of Endocrinology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Giardini 1355, 41126, Modena, Italy.
Daniele SantiUnit of Endocrinology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Giardini 1355, 41126, Modena, Italy.
University of Modena and Reggio Emilia · ITAzienda Unita' Sanitaria Locale Di Modena · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe coronavirus disease (COVID)-19 incidence was higher in diabetes mellitus (DM), although several differences should be considered on the basis of characteristics of cohorts evaluated. This study was designed to evaluate the prevalence and potential consequences of COVID-19 in a large diabetic population in Northern Italy.

designObservational, longitudinal, retrospective, clinical study.

methodsSubjects with both type 1 and type 2 DM living in the Province of Modena and submitted to at least one SARS-CoV-2 swab between March 2020 and March 2021 were included. Data were extracted from the Hospital data warehouse.

results9553 diabetic subjects were enrolled (age 68.8 ± 14.1 years, diabetes duration 11.0 ± 6.9 years, glycated hemoglobin 57.2 ± 16.2 mmol/mol). COVID-19 was detected in 2302 patients (24.1%) with a death rate of 8.9%. The mean age and diabetes duration were significantly lower in infected versus non-infected patients. SARS-CoV-2 infection was more frequent in youngest people, according to quartile of age and retirement pension age of 65 years. No differences were detected considering sex. Higher HbA1c was detected in infected compared to non-infected patient. Death was predicted by diabetes duration and HbA1c. ROC analyses for death risk showed significant threshold for diabetes duration (10.9 years) and age (74.4 years).

conclusionIn our cohort, SARS-CoV-2 infection correlates with age, diabetes duration and disease control. Diabetic patients with COVID-19 should be carefully followed when older than 74 years and with more than 10 years of DM duration.

Indexed as

COVID-19Diabetes MellitusAgedAged, 80 and overGlycated HemoglobinGlycemic ControlHumansMiddle AgedPrognosisRetrospective StudiesSARS-CoV-2Glycated HemoglobinCOVID-19Diabetes mellitusDuration of diabetesHbA1cRisk of infectionSARS-CoV-2

Identifiers

PMID36939895
PMCPMC10025792
OpenAlexW4327899662

What Socratic 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 Socratic graph.