ReviewNeuroscience applied2023
Cognitive insight and introspective accuracy in individuals with bipolar disorder: A scoping review.
Review in Neuroscience applied, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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Who cites it
7 citing papers in PubMed.
- Cognitive behavioral therapy for bipolar disorder: patient-level participation barriers and ketogenic metabolic therapy as a candidate adjunct.Frontiers in psychology · 2026Review
- Bridging psychiatric and educational metacognition: a perspective on insight and learning.Frontiers in psychiatry · 2026Article
- Characteristics of people with bipolar disorder I with and without auditory verbal hallucinations.International journal of bipolar disorders · 2025Article
- Phenotypic divergence between individuals with self-reported autistic traits and clinically ascertained autism.Nature. Mental health · 2025Article
- Reasons for discontinuing and restarting lithium multiple times: a case-register study based on the South London and Maudsley NHS Foundation Trust Clinical Record Interactive Search system.Therapeutic advances in psychopharmacology · 2025Article
- Phenotypical divergence between self-reported and clinically ascertained autism.Research square · 2024Article
- Future directions in the field of Bipolar Disorder.Neuroscience applied · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Within the framework of metacognition, cognitive insight (CI) refers to the ability to distance oneself from distorted beliefs and misinterpretations, and to reevaluate thoughts, beliefs, and interpretations, while also considering external feedback from others, in order to make well-considered conclusions. Similarly, introspective accuracy (IA) refers to the capacity to accurately assess one's skills, capabilities, and interpretations. CI and IA may be impaired in individuals with psychiatric disorders, as extensively documented in individuals with schizophrenia. However, there is a shortage of studies examining introspective accuracy in bipolar disorder. This scoping review aimed to provide an overview of the existing literature on CI and IA in individuals with bipolar disorder, as well as to examine their associations with clinical variables including cognitive performance. Methods: PubMed was systematically searched with the terms "cognitive insight", "introspective accuracy", "self estimation", "self assessment", "bipolar", and "bipolar disorder". Studies were included if they performed cognitive measures. Results: Five studies (2015-2023) met the inclusion criteria and were further analyzed. Patients with bipolar disorder generally overestimate their cognitive performance, especially in numerical tasks. In a depressive episode, the performance was underestimated and related to impaired functioning. Manic symptoms and cognitive performance have been found to be predictors for low insight. The study results indicated that introspective accuracy is positively correlated with cognitive performance. Conclusion: Recent studies demonstrate the importance of cognitive insight and introspective accuracy measures for functional outcome parameters. Although there is little research in the field of cognitive insight in bipolar disorder so far, there are many factors that still need to be addressed. Most importantly, it is needed to address the differences between the types of bipolar disorder and the impact of current mood symptoms and medication on cognitive insight or introspective accuracy in these patients.
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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.