ArticleBJPsych open2017
Uncovering Capgras delusion using a large-scale medical records database.
Article in BJPsych open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 42 citations in OpenAlex.
- Who Are People with Psychosis Delusional about? A Study of Social Agents in the Phenomenology of Delusions.Psychopathology · 2026Article
- Challenging the impostor: a scoping review of the pharmacological management of Capgras syndrome in Parkinson's disease and Lewy bodies dementia.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Article
- Serial killing in schizophrenia.Clinical case reports · 2022Article
- Harm minimisation for the management of self-harm: a mixed-methods analysis of electronic health records in secondary mental healthcare.BJPsych open · 2021Article
- Interrogating an ICD-coded electronic health records database to characterize the epidemiology of prosopagnosia.Journal of clinical and translational science · 2020Article
- Cognitive neuropsychiatric analysis of an additional large Capgras delusion case series.Cognitive neuropsychiatry · 2019Article
- Misidentification syndrome: A narrative review.Industrial psychiatry journalReview
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCapgras delusion is scientifically important but most commonly reported as single case studies. Studies analysing large clinical records databases focus on common disorders but none have investigated rare syndromes.
aimsIdentify cases of Capgras delusion and associated psychopathology, demographics, cognitive function and neuropathology in light of existing models.
methodCombined computational data extraction and qualitative classification using 250 000 case records from South London and Maudsley Clinical Record Interactive Search (CRIS) database.
resultsWe identified 84 individuals and extracted diagnosis-matched comparison groups. Capgras was not 'monothematic' in the majority of cases. Most cases involved misidentified family members or close partners but others were misidentified in 25% of cases, contrary to dual-route face recognition models. Neuroimaging provided no evidence for predominantly right hemisphere damage. Individuals were ethnically diverse with a range of psychosis spectrum diagnoses.
conclusionsCapgras is more diverse than current models assume. Identification of rare syndromes complements existing 'big data' approaches in psychiatry. DECLARATION OF INTERESTS: V.B. is supported by a Wellcome Trust Seed Award in Science (200589/Z/16/Z) and the UCLH NIHR Biomedical Research Centre. S.W. is supported by a Wellcome Trust Strategic Award (WT098455MA). Q.D. has received a grant from King's Health Partners. COPYRIGHT AND USAGE: © The Royal College of Psychiatrists 2017. This is an open access article distributed under the terms of the Creative Commons Non-Commercial, No Derivatives (CC BY-NC-ND) license.
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