Evidence map›Paper›PMID 34978642›Full record

ArticleChild psychiatry and human development2023

Symptom Dimension Breakpoints for the Obsessive-Compulsive Inventory-Child Version (OCI-CV).

Matti Cervin, Blanca Garcia-Delgar, Rosa Calvo, Ana E Ortiz, Luisa Lazaro

Abstract read
In one paragraph

Article in Child psychiatry and human development, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Reliability and validity study of the Obsessive-Compulsive Inventory-Child Version (OCI-CV).Dusunen adam : Bakirkoy Ruh ve Sinir Hastaliklari Hastanesi yayin organi · 2024
    Article
  3. Article
  4. Article
  5. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Matti CervinDepartment of Clinical Sciences Lund, Child and Adolescent Psychiatry, Faculty of Medicine, Lund University, Sofiavägen 2D, SE-22241, Lund, Sweden. matti.cervin@med.lu.se.ORCID http://orcid.org/0000-0003-1188-8706
Blanca Garcia-DelgarDepartment of Child and Adolescent Psychiatry and Psychology, Hospital Clínic Universitari, Barcelona, Spain.
Rosa CalvoDepartment of Child and Adolescent Psychiatry and Psychology, Hospital Clínic Universitari, Barcelona, Spain.
Ana E OrtizDepartment of Child and Adolescent Psychiatry and Psychology, Hospital Clínic Universitari, Barcelona, Spain.
Luisa LazaroDepartment of Child and Adolescent Psychiatry and Psychology, Hospital Clínic Universitari, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pediatric obsessive-compulsive disorder (OCD) clusters around three major symptom dimensions: contamination/cleaning, symmetry/ordering, and disturbing thoughts/checking. The Obsessive-Compulsive Inventory-Child Version (OCI-CV) is a self-report questionnaire that provides scores along six theory-based OCD dimensions, but no study has evaluated how well OCI-CV identifies clinically significant symptoms within each of the three major symptom dimensions of OCD. We examined this question using data from 197 Swedish and Spanish youth with OCD. All youth completed the OCI-CV and clinically significant symptom severity within each major OCD dimension was established with a validated interview-based measure. Results showed that a score ≥ 3 on the OCI-CV washing scale excellently captured those with clinically significant contamination/cleaning symptoms (AUC = 0.85 [0.80-0.90], 79% accuracy). A score ≥ 4 on the obsessing scale adequately captured those with disturbing thoughts/checking symptoms (AUC = 0.71 [0.64-0.78], 67% accuracy) and a score ≥ 3 on the ordering scale adequately captured those with symmetry/ordering symptoms (AUC = 0.72 [0.65-0.79], 70% accuracy). Similar accuracy of the breakpoints was found in the Swedish and Spanish samples. OCI-CV works well to identify youth with pediatric OCD that have clinically significant contamination/cleaning symptoms. The measure can also with adequate precision identify those with clinically significant disturbing thoughts/checking and symmetry/ordering symptoms. The breakpoints provided in this study can be used to examine differences in clinical presentation and treatment outcome for youth with different types of OCD.

Indexed as

Obsessive-Compulsive DisorderAdolescentChildHumansPsychometricsReproducibility of ResultsSelf ReportSurveys and QuestionnairesAdolescentsChildrenOCDSymptom dimensions

Identifiers

PMID34978642
PMCPMC10140084

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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.