Evidence map›Paper›PMID 39721947›Full record

ReviewCNS spectrums2024

Anosognosia in schizophrenia.

Benjamin Rose, Philip D Harvey

Abstract readReview
In one paragraph

Review in CNS spectrums, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
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

2 authors.

Benjamin RoseDepartment of State Hospitals, California.ORCID 0000-0002-8511-3324
Philip D HarveyDepartment of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA.ORCID 0000-0002-9501-9366

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anosognosia, defined as a lack of knowledge of the disease, was originally identified in neurological disorders and is common in schizophrenia. These deficits are commonly referred to as "lack of insight" or "unawareness of illness." They include challenges in accurate judgments of the reality of experience, as well as global and specific personal abilities. Related to inaccuracies in self-assessment are response biases when an incorrect self-assessment is made. We adopted a perspective focused on Introspective Accuracy (IA) and Introspective Bias (IB). IA is the ability to accurately judge several domains of experience and functioning. These include the reality of clinical symptoms, the experience of mood states, momentary competence in the performance of cognitive assessments and everyday functional skills, and the ability to accurately anticipate the success of future performance. IB is the direction of response bias in the context of impairments in IA. Deficits in insight, judgment inaccuracies, and response bias are highly relevant as these difficulties come with downstream impacts including difficulties with treatment adherence, an increase in severity of symptoms, greater everyday disability, reduced response to cognitive training interventions, and a need for increased intensity of interventions to maintain community residence. In this article, we review the research in IA and IB in schizophrenia, including differences in momentary versus global self-assessments, and the clinical correlates and functional impacts of inaccurate self-assessments and response biases in the context of self-assessment errors. We also examine the existing data regarding the neurobiological basis of impairments in IA.

Indexed as

AgnosiaSchizophreniaSchizophrenic PsychologyHumansSelf-AssessmentanosognosiacognitioninsightIntrospective AccuracyIntrospective Biasschizophrenia

Identifiers

PMID39721947
PMCPMC13064738

What OpenQuestion holds

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Registered trials

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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.