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Enregistrement W4402878887 · doi:10.1016/j.jaacop.2024.09.004

Comparing Youth With Bipolar Disorder to Non-Bipolar Youth Referred for Bipolar Disorder

2024· article· en· W4402878887 sur OpenAlexafffundabout
Jangho Park, Alysha A. Sultan, Aaron M. Silverman, Eric A. Youngstrom, Vanessa Timmins, Mikaela K. Dimick, Benjamin I. Goldstein

Notice bibliographique

RevueJAACAP Open · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueBipolar Disorder and Treatment
Établissements canadiensUniversity of TorontoCentre for Addiction and Mental Health
Organismes subventionnairesLinda C. Campbell FoundationCentre for Addiction and Mental Health
Mots-clésBipolar disorderPsychologyPsychiatryTreatment of bipolar disorderManiaLithium (medication)

Résumé

récupéré en direct d'OpenAlex

Objective Bipolar disorder (BD) diagnoses require episodes of hypomania and mania as well as depressive episodes. Given the overlap of BD symptoms with symptoms of other psychiatric conditions among youth, misdiagnosis is common. This topic was examined in a large sample of youth clinically referred for BD. Method Participants were 394 clinically referred youths ages 13 to 20 years, including 255 with confirmed BD and 139 for whom BD was not confirmed (non-BD). Participants and their parent/guardian completed a semistructured diagnostic interview and dimensional scales. Demographic and clinical variables were compared between BD and non-BD groups. Following correction for multiple comparisons, significant variables associated with BD diagnosis ( p < .05) in univariate analyses were evaluated in multivariable analyses. Results Compared with the BD group (n = 255), the non-BD group (n = 139) had significantly lower current mania symptom severity, family history of hypomania/mania, current lithium treatment, and lifetime bulimia nervosa, whereas most severe past global functioning was higher and current oppositional defiant disorder was more common in the non-BD group compared with the BD group. Use of second-generation antipsychotics was high in both groups. Common reasons for not diagnosing BD in the non-BD group included not meeting duration criteria for a hypomanic/manic episode and manic-like symptoms being better explained by other psychiatric disorders. Conclusion Youth with and without BD did not differ in the vast majority of clinical variables examined. Frequent use of second-generation antipsychotics in non-BD youth may relate to characterization of overlapping comorbidity symptoms as manic symptoms. Both groups have complex presentations, necessitating psychosocial and pharmacological treatments. Plain language summary A total of 394 youth, aged 13-20 years, were recruited from a subspecialty adolescent bipolar disorder clinic at a teaching hospital in Toronto, Canada, over a 12-year period. Participants were clinically referred for assessment and/or treatment of bipolar disorder. A bipolar spectrum disorder diagnosis was confirmed for 255 of the 394 youth. The authors examined a broad range of demographic, clinical, and familial characteristics, and over 90% did not yield significant between-group differences. The most common reasons for not confirming a bipolar disorder diagnosis were insufficient and/or fleeting manic symptoms and manic-like symptoms being better explained by other psychiatric disorders. Overall, both groups had complex presentations, emphasizing careful assessment and the need for psychosocial and pharmacological treatments in both groups. Diversity & Inclusion Statement We worked to ensure sex and gender balance in the recruitment of human participants. We worked to ensure race, ethnic, and/or other types of diversity in the recruitment of human participants. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science. We actively worked to promote sex and gender balance in our author group. We actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our author group. While citing references scientifically relevant for this work, we also actively worked to promote sex and gender balance in our reference list. While citing references scientifically relevant for this work, we also actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our reference list. The author list of this paper includes contributors from the location and/or community where the research was conducted who participated in the data collection, design, analysis, and/or interpretation of the work.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,867
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,048
Tête enseignante GPT0,312
Écart entre enseignants0,264 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission3
Résumé présentoui

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