Evidence map›Paper›PMID 35638732›Full record

ArticleEuropean psychiatry : the journal of the Association of European Psychiatrists2022

Exploration of mood spectrum symptoms during a major depressive episode: The impact of contrapolarity-Results from a transdiagnostic cluster analysis on an Italian sample of unipolar and bipolar patients.

Ludovico Mineo, Alessandro Rodolico, Giorgio Alfredo Spedicato, Andrea Aguglia, Simone Bolognesi, Carmen Concerto, Alessandro Cuomo, Arianna Goracci, Giuseppe Maina, Andrea Fagiolini and 2 more

Open access · goldAbstract read
In one paragraph

Article in European psychiatry : the journal of the Association of European Psychiatrists, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

12 authors at 5 institutions in 1 country.

Ludovico MineoDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.ORCID 0000-0002-9692-2696
Alessandro RodolicoDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.ORCID 0000-0003-2196-0601
Giorgio Alfredo SpedicatoDepartment of Banking and Insurance, Catholic University of Milan, Milan, Italy.ORCID 0000-0002-0315-8888
Andrea AgugliaDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.ORCID 0000-0002-2003-2101
Simone BolognesiDepartment of Molecular Medicine, University of Siena, Siena, Italy.
Carmen ConcertoDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.ORCID 0000-0002-7426-5250
Alessandro CuomoDepartment of Molecular Medicine, University of Siena, Siena, Italy.
Arianna GoracciDepartment of Molecular Medicine, University of Siena, Siena, Italy.
Giuseppe MainaRita Levi Montalcini Department of Neuroscience, University of Turin, University Hospital San Luigi Gonzaga, Turin, Italy.
Andrea FagioliniDepartment of Molecular Medicine, University of Siena, Siena, Italy.ORCID 0000-0001-5827-0853
Mario AmoreDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
Eugenio AgugliaDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
University of Catania · ITUniversity of Siena · ITOspedale Policlinico San Martino · ITUniversity of Milan · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSubthreshold hypomania during a major depressive episode challenges the bipolar-unipolar dichotomy. In our study we employed a cross-diagnostic cluster analysis - to identify distinct subgroups within a cohort of depressed patients.

methodsA k-means cluster analysis- based on the domain scores of the Mood Spectrum Self-Report (MOODS-SR) questionnaire-was performed on a data set of 300 adults with either bipolar or unipolar depression. After identifying groups, between-clusters comparisons were conducted on MOODS-SR domains and factors and on a set of sociodemographic, clinical and psychometric variables.

resultsThree clusters were identified: one with intermediate depressive and poor manic symptomatology (Mild), one with severe depressive and poor manic symptomatology (Moderate), and a third one with severe depressive and intermediate manic symptomatology (Mixed). Across the clusters, bipolar patients were significantly less represented in the Mild one, while the DSM-5 "Mixed features" specifier did not differentiate the groups. When compared to the other patients, those of Mixed cluster exhibited a stronger association with most of the illness-severity, quality of life, and outcomes measures considered. After performing pairwise comparisons significant differences between "Mixed" and "Moderate" clusters were restricted to: current and disease-onset age, psychotic ideation, suicidal attempts, hospitalization numbers, impulsivity levels and comorbidity for Cluster B personality disorder.

conclusionsIn the present study, a clustering approach based on a spectrum exploration of mood symptomatology led to the identification of three transdiagnostic groups of patients. Consistent with our hypothesis, the magnitude of subthreshold (hypo)manic symptoms was related to a greater clinical severity, regardless of the main categorical diagnosis.

Indexed as

Bipolar DisorderMajor Depressive DisorderAdultCluster AnalysisHumansItalyManiaQuality of Lifecluster analysisMixed depressionMood spectrumSubthreshold hypomania“with mixed features” specifier

Identifiers

PMID35638732
PMCPMC9158398
OpenAlexW4282934250

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.