Evidence map›Paper›PMID 28480486›Full record

ArticleInternational journal of bipolar disorders2017

Clinical correlates of age at onset distribution in bipolar disorder: a comparison between diagnostic subgroups.

Mirko Manchia, Giuseppe Maina, Bernardo Carpiniello, Federica Pinna, Luca Steardo, Virginia D'Ambrosio, Virginio Salvi, Martin Alda, Alfonso Tortorella, Umberto Albert

Open access · goldAbstract read
In one paragraph

Article in International journal of bipolar disorders, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Characterisation of age and polarity at onset in bipolar disorder.The British journal of psychiatry : the journal of mental science · 2021
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. 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

10 authors at 5 institutions in 2 countries.

Mirko ManchiaSection of Psychiatry, Department of Medical Science and Public Health, University of Cagliari, Via Liguria, 13, 09127, Cagliari, Italy. mirkomanchia@unica.it.ORCID http://orcid.org/0000-0003-4175-6413
Giuseppe MainaDepartment of Mental Health, "San Luigi-Gonzaga" Hospital, University of Turin, Orbassano, Italy.
Bernardo CarpinielloSection of Psychiatry, Department of Medical Science and Public Health, University of Cagliari, Via Liguria, 13, 09127, Cagliari, Italy.
Federica PinnaSection of Psychiatry, Department of Medical Science and Public Health, University of Cagliari, Via Liguria, 13, 09127, Cagliari, Italy.
Luca SteardoDepartment of Psychiatry, University of Naples SUN, Naples, Italy.
Virginia D'AmbrosioDepartment of Mental Health, "San Luigi-Gonzaga" Hospital, University of Turin, Orbassano, Italy.
Virginio SalviDepartment of Mental Health, "San Luigi-Gonzaga" Hospital, University of Turin, Orbassano, Italy.
Martin AldaDepartment of Psychiatry, Dalhousie University, Halifax, NS, Canada.
Alfonso TortorellaDepartment of Psychiatry, University of Naples SUN, Naples, Italy.
Umberto AlbertRita Levi Montalcini Department of Neuroscience, Anxiety and Mood Disorders Unit, University of Turin, Turin, Italy.
Ospedale San Luigi Gonzaga · ITDalhousie University · CAUniversity of Cagliari · ITUniversity of Naples Federico II · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdmixture analysis of age at onset (AAO) has helped delineating the clinical profile of early onset (EO) bipolar disorder (BD). However, there is scarce evidence comparing the distributional properties of AAO as well as the clinical features of EO BD type 1 (BD1) with EO BD type 2 (BD2). To this end, we studied 515 BD patients (224 BD1, 279 BD2, and 12 BD not otherwise specified [NOS]) diagnosed according to DSM-IV-TR criteria.

methodsAAO was defined as the first reliably diagnosed hypo/manic or depressive episode according to diagnostic criteria. We used normal distribution mixture analysis to identify subgroups of patients according to AAO. Models were chosen according to the Schwarz's Bayesian information criteria (BIC). Clinical correlates of EO were analysed using univariate tests and multivariate logistic regression models.

resultsA two normal components model best fitted the observed distribution of AAO in BD1 (BIC = -1599.3), BD2 (BIC = -2158.4), and in the whole sample (BIC = -3854.9). A higher number of EO BD2 patients had a depression-(hypo)mania-free interval (DMI) course, while a higher rate of (hypo)mania-depression-free interval (MDI) course was found in EO BD1. EO BD2 had also a higher rate of comorbidity with alcohol dependence compared to EO BD1. The latter finding was confirmed by multivariate logistic regression analysis.

conclusionsIn conclusion, both BD1 and BD2 had bimodal AAO distributions, but EO subgroups had a diagnostic-specific clinical delineation.

Indexed as

Admixture analysisDiagnostic subtypesEarly onsetMood disordersRetrospective study

Identifiers

PMID28480486
PMCPMC5563503
OpenAlexW2610949737

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.