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Expert Rater Agreement for Symptoms and Diagnosis of Bipolar Disorder in Youth.

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Title: Expert Rater Agreement for Symptoms and Diagnosis of Bipolar Disorder in Youth.
Authors: Leffler, Jarrod M. (AUTHOR), Azzopardi, Daniel (AUTHOR), Jensen, Peter S. (AUTHOR), Croarkin, Paul E. (AUTHOR), Cullen, Kathryn R. (AUTHOR), Duffy, Anne (AUTHOR), Klimes-Dougan, Bonnie (AUTHOR), Post, Robert M. (AUTHOR), Vande Voort, Jennifer L. (AUTHOR), Wagner, Karen Dineen (AUTHOR), Wolf, Dwight V. (AUTHOR), Galanter, Cathryn A. (AUTHOR)
Source: Child Psychiatry & Human Development. Oct2026, Vol. 57 Issue 5, p1403-1415. 13p.
Subjects: Intraclass correlation, Psychiatric diagnosis, Inter-observer reliability, Bipolar disorder, Diagnostic & Statistical Manual of Mental Disorders (Book), Consensus (Social sciences), Visual analog scale, Adolescent psychiatry
Abstract: The diagnosis of bipolar disorder (BD) in young children has been a topic of debate, in part owing to varied interpretation of manic-like symptoms. We examined how expert academic clinicians participating in the pediatric bipolar biobank varied in their interpretation and application of Diagnostic and Statistical Manual of Mental Disorders (DSM) criteria and diagnoses. Study co-investigators reviewed 12 standardized narratives and for each marked a visual analog scale with their confidence in the presence of manic episodes and criteria. We analyzed raters' confidence and inter-rater agreement using interclass correlation (ICC). Symptoms with good ICC ranging from 0.60 to 0.74 included inflated self-esteem/grandiosity and decreased need for sleep. Diagnoses and episodes with poor ICCs (< 0.4) included Hypomania and Bipolar Not Elsewhere Classified/Not Otherwise Specified. Despite efforts made to refine BD criteria with DSM-5, there was substantive variation in diagnostic interpretation among investigators working with children presenting with manic-like symptoms. [ABSTRACT FROM AUTHOR]
Copyright of Child Psychiatry & Human Development is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Expert Rater Agreement for Symptoms and Diagnosis of Bipolar Disorder in Youth.
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  Data: The diagnosis of bipolar disorder (BD) in young children has been a topic of debate, in part owing to varied interpretation of manic-like symptoms. We examined how expert academic clinicians participating in the pediatric bipolar biobank varied in their interpretation and application of Diagnostic and Statistical Manual of Mental Disorders (DSM) criteria and diagnoses. Study co-investigators reviewed 12 standardized narratives and for each marked a visual analog scale with their confidence in the presence of manic episodes and criteria. We analyzed raters&#39; confidence and inter-rater agreement using interclass correlation (ICC). Symptoms with good ICC ranging from 0.60 to 0.74 included inflated self-esteem/grandiosity and decreased need for sleep. Diagnoses and episodes with poor ICCs (&lt; 0.4) included Hypomania and Bipolar Not Elsewhere Classified/Not Otherwise Specified. Despite efforts made to refine BD criteria with DSM-5, there was substantive variation in diagnostic interpretation among investigators working with children presenting with manic-like symptoms. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Child Psychiatry &amp; Human Development is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10578-024-01797-w
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        Text: English
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    Subjects:
      – SubjectFull: Intraclass correlation
        Type: general
      – SubjectFull: Psychiatric diagnosis
        Type: general
      – SubjectFull: Inter-observer reliability
        Type: general
      – SubjectFull: Bipolar disorder
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      – SubjectFull: Diagnostic & Statistical Manual of Mental Disorders (Book)
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      – SubjectFull: Consensus (Social sciences)
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      – SubjectFull: Visual analog scale
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      – SubjectFull: Adolescent psychiatry
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              Text: Oct2026
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