Evidence map›Paper›PMID 32403206›Full record

ArticleBrain and behavior2020

Classification of comorbidity in obsessive-compulsive disorder: A latent class analysis.

Lucas J B van Oudheusden, Rens van de Schoot, Adriaan Hoogendoorn, Patricia van Oppen, Maarten Kaarsemaker, Gerben Meynen, Anton J L M van Balkom

Abstract read
In one paragraph

Article in Brain and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

7 authors.

Lucas J B van OudheusdenDepartment of Psychiatry, Amsterdam Public Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Rens van de SchootDepartment of Methods and Statistics, Utrecht University, Utrecht, The Netherlands.
Adriaan HoogendoornDepartment of Psychiatry, Amsterdam Public Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Patricia van OppenDepartment of Psychiatry, Amsterdam Public Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Maarten KaarsemakerVincent van Gogh Institute, Mental Health Care Centre Noord- en Midden-Limburg, Venray, The Netherlands.
Gerben MeynenGGZ inGeest, Amsterdam, The Netherlands.
Anton J L M van BalkomDepartment of Psychiatry, Amsterdam Public Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Funding

Academic Anxiety Centre, PsyQ Maastricht, Maastricht University, Division Mental Health and NeuroscienceAcademic Department of Psychiatry, VU Medical Center/Academic department of Psychiatry, VU Medical Center/GGZ inGeest, Amsterdam; Marina de Wolf Centre for Anxiety Research, Ermelo; Centre for Anxiety Disorders 'Overwaal', Lent; Dimence, GGZ Overijssel; Department of Psychiatry, Leiden University Medical Center, Leiden; Mental Health Care Centre Noord- en Midden-Limburg, Venray; Academic Anxiety Centre, PsyQ Maastricht, Maastricht University, Division Mental Health and Neuroscience. The research infrastructure needed to complete theCentre for Anxiety Disorders "Overwaal,"Department of Psychiatry,Dimence, GGZ OverijsselGGZ inGeestLeiden University Medical CenterMarina de Wolf Centre for Anxiety ResearchMental Health Care Centre Noord- en Midden-LimburgStichting Steun VCVGZ
6 · The paper itself

Abstract

objectivePatients with OCD differ markedly from one another in both number and kind of comorbid disorders. In this study, we set out to identify and characterize homogeneous subgroups of OCD patients based on their comorbidity profile.

methodsIn a cohort of 419 adult subjects with OCD, the lifetime presence of fifteen comorbid disorders was assessed. Latent class analysis was used to identify comorbidity-based subgroups. Groups were compared with regard to core clinical characteristics: familiality, childhood trauma, age at onset, illness severity, OCD symptom dimensions, personality characteristics, and course of illness.

resultsThe study sample could be divided in a large group (n = 311) with a low amount of comorbidity that could be further subdivided into two subgroups: OCD simplex (n = 147) and OCD with lifetime major depressive disorder (n = 186), and a group (n = 108) with a high amount of comorbidity that could be further subdivided into a general anxiety-related subgroup (n = 49), an autism/social phobia-related subgroup (n = 27), and a psychosis/bipolar-related subgroup (n = 10). Membership of the high-comorbid subgroup was associated with higher scores on childhood trauma, illness severity, and the aggression/checking symptom dimension and lower scores on several personality characteristics.

conclusionGrouping OCD patients based on their comorbidity profile might provide more homogeneous, and therefore, more suitable categories for future studies aimed at unraveling the etiological mechanisms underlying this debilitating disorder.

Indexed as

Latent Class AnalysisAdolescentAdultAgedAge of OnsetAnxietyAutistic DisorderBipolar DisorderChildChild AbuseComorbidityFemaleHumansMajor Depressive DisorderMaleMiddle Agedclassificationcomorbiditylatent class analysisobsessive-compulsive disorder

Identifiers

PMID32403206
PMCPMC7375063

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