Evidence map›Paper›PMID 34495396›Full record

ArticleActa diabetologica2022

Is it time to consider depression as a major complication of type 2 diabetes? Evidence from a large population-based cohort study.

Rossella Messina, Marica Iommi, Paola Rucci, Chiara Reno, Maria Pia Fantini, Carlotta Lunghi, Mattia Altini, Francesca Bravi, Simona Rosa, Antonio Nicolucci and 1 more

Abstract read
In one paragraph

Article in Acta diabetologica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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.

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

16 citing papers in PubMed.

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  15. Diabetes and COVID-19: Short- and Long-Term Consequences.Hormone and metabolic research = Hormon- und Stoffwechselforschung = Hormones et metabolisme · 2022
    Review
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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

11 authors.

Rossella MessinaDepartment of Biomedical and Neuromotor Sciences, Alma Mater Studiorum-University of Bologna, Via San Giacomo, 12, 40126, Bologna, BO, Italy.ORCID http://orcid.org/0000-0001-5526-9769
Marica IommiDepartment of Biomedical and Neuromotor Sciences, Alma Mater Studiorum-University of Bologna, Via San Giacomo, 12, 40126, Bologna, BO, Italy. marica.iommi2@unibo.it.ORCID http://orcid.org/0000-0003-4589-3474
Paola RucciDepartment of Biomedical and Neuromotor Sciences, Alma Mater Studiorum-University of Bologna, Via San Giacomo, 12, 40126, Bologna, BO, Italy.ORCID http://orcid.org/0000-0002-7704-0831
Chiara RenoDepartment of Biomedical and Neuromotor Sciences, Alma Mater Studiorum-University of Bologna, Via San Giacomo, 12, 40126, Bologna, BO, Italy.ORCID http://orcid.org/0000-0002-7933-2141
Maria Pia FantiniDepartment of Biomedical and Neuromotor Sciences, Alma Mater Studiorum-University of Bologna, Via San Giacomo, 12, 40126, Bologna, BO, Italy.
Carlotta LunghiDepartment of Health Sciences, Université du Québec À Rimouski, Rimouski, Canada.ORCID http://orcid.org/0000-0001-7636-6285
Mattia AltiniHealth Directorate, Romagna Local Health Authority, Bologna, Emilia-Romagna Region, Italy.ORCID http://orcid.org/0000-0002-1809-184X
Francesca BraviHealth Directorate, Romagna Local Health Authority, Bologna, Emilia-Romagna Region, Italy.ORCID http://orcid.org/0000-0002-9973-720X
Simona RosaDepartment of Biomedical and Neuromotor Sciences, Alma Mater Studiorum-University of Bologna, Via San Giacomo, 12, 40126, Bologna, BO, Italy.
Antonio NicolucciCenter for Outcomes Research and Clinical Epidemiology (CORESEARCH), Pescara, Italy.ORCID http://orcid.org/0000-0002-5939-6850
Paolo Di BartoloDiabetes Unit, AUSL Romagna, Ravenna, Italy.ORCID http://orcid.org/0000-0001-5957-1551

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsDepression in type 2 diabetes may heavily affect the course of the disease. In this study, we investigated, among new cases with type 2 diabetes, the incidence and clinical predictors of depression and determined the extent to which depression constitutes a risk factor for acute and long-term diabetes complications and mortality.

methodsIn this population-based retrospective cohort study, incident cases of type 2 diabetes without a prior history of depression were identified from the administrative databases of the Emilia-Romagna Region, Italy, between 2008 and 2017 and followed up until 2020. Logistic regression models were used to identify the predictors of depression. Cox regression models were used to estimate the risk of acute complications over three years, and the risk of long-term complications and mortality over ten years.

resultsIncident cases with type 2 diabetes were 30,815, of whom 5146 (16.7%) developed depression. The predictors of depression onset were as follows: female sex, age > 65 years, living in rural areas and comorbid diseases. Depression in type 2 diabetes was associated with a 2.3-fold risk of developing acute complications, 1.6-fold risk of developing long-term complications and 2.8-fold mortality risk.

conclusionsOur findings highlight that depression is associated with an increased risk for complications in type 2 diabetes and mortality and should not be neglected. Therefore, it is important to promote screening activities and introduce targeted and personalized treatment for depression in order to reduce the risk of poor short- and long-term outcomes of diabetes.

Indexed as

Diabetes Mellitus, Type 2AgedCohort StudiesDepressionFemaleHumansIncidenceRetrospective StudiesRisk FactorsClinical diabetesComplicationsEpidemiologyPsychological aspects

Identifiers

PMID34495396
PMCPMC8758621

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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.