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Record W4409656384 · doi:10.1177/13591045251329972

Co-existence of Capgras syndrome and OCD in children: Case studies

2025· article· en· W4409656384 on OpenAlexaff
Ron Walfisch, Polina Perlman Danieli, Mariela Mosheva, Eitan Eldar, Y. Hochberg, Tal Shilton, Doron Gothelf

Bibliographic record

VenueClinical Child Psychology and Psychiatry · 2025
Typearticle
Languageen
FieldPsychology
TopicBody Image and Dysmorphia Studies
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsPsychiatryPsychologyDepression (economics)Suicidal ideationCapgras SyndromeSchizophrenia (object-oriented programming)Delusional disorderCatatoniaObsessive compulsiveClinical psychologyDelusionPsychosisPediatricsMedicinePoison controlInjury prevention

Abstract

fetched live from OpenAlex

IntroductionCapgras syndrome (CS) is characterized by the delusional belief that a person, usually a close relative, has been replaced by an imposter. This study focuses on the co-occurrence of CS and Obsessive-Compulsive Disorder (OCD) in children.MethodsWe present two cases of children diagnosed with CS and OCD treated at our inpatient child psychiatric unit.Cases presentationWe describe the cases of an 11-year-old male who believed his parents were demonic entities and a 12-year-old female who believed her parents were robots. Both children exhibited additional psychiatric manifestations such as depression, catatonia, obsessive-compulsive (OC) symptoms, persecutory delusions, reduced food intake, and suicidal ideation. Our treatment approach combines antipsychotic medication, selective serotonin reuptake inhibitors (SSRIs), and gradual exposure therapy accompanied by parent training, has yielded favorable outcomes in managing the patients' psychiatric symptoms.Discussion and ConclusionWe provide insights into CS with comorbid OCD in children and discuss the behavioral treatment approach employed in our cases. We also discuss similar cases of CS comorbid with OCD from the English literature.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.460
Teacher spread0.414 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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