Examination of Theory of Mind, Cognitive Functions and Acute Period Clinical Features in Patients Diagnosed With Substance Use-Related Psychotic Disorder
Notice bibliographique
Résumé
Introduction There are recent studies examining the cognitive functions, depressive symptoms, social cognitive characteristics (Terms of Theory of Mind) and acute symptoms of patients with substance-induced psychosis, as well as varying effects of different substances on development of psychosis (Beckmann et al. Child Adolesc Psychiatr CNA.2020;131-143). Objectives It was aimed to examine sociodemographic characteristics, clinical symptoms in acute psychotic period, cognitive functions, social cognition characteristics of hospitalized patients diagnosed with substance related psychosis; compare the severity of clinical symptoms, improvement in acute period symptoms with treatment, cognitive functions and social cognitions according to substance (methamphetamine, cannabis, polydrug). Methods 34 hospitalized patients in acute psychotic episode diagnosed with Substance-Induced Psychosis according to DSM-5 were included in study. Socidemographic Data Form, Reading the Mind in the Eyes Test, Stroop Test, Calgary Schizophrenia Depression Scale and every 3 days during the treatment PANSS (Positive Negative Syndrome Scale) were administered. Statistical analyses done with R program. Kruskal-Wallis test was used to compare numerical variables between groups. For the significant differences between groups, Bonferroni correction was applied in post hoc analyses. P-value of less than 0.05 was considered statistically significant for all analyses. Chi-square test was used to analyze categorical variables. Results It was determined that drug-induced psychosis patients were mostly male, unemployed, young adults, started using drugs before the age of 18, lived in irregular urban areas. Methamphetamine, cannabis and polydrug-related psychosis were compared; There was no difference in cognitive functions and social cognition characteristics between all groups. At the end of treatment, it was observed that the rate of improvement in positive and negative symptoms and the decrease in PANSS scores were greatest in methamphetamine group, there was no difference between cannabis and polydrug groups. We found that PANSS and negative symptom severity before starting treatment were not different between methamphetamine and cannabis, and initial positive symptoms were more severe in methamphetamine than cannabis. Conclusions Methamphetamine group showed greater improvements in positive and negative symptoms and total PANSS scores compared to cannabis and polydrug. The fact that there was less improvement in cannabis group than in methamphetamine group supports the data in the literature identifying the relationship between cannabis and chronic psychosis (D’Souza et al, The World Journal of BP, 2022, 719–742). No difference was found between social cognitions and cognitive functions of 3 groups. Keywords Drug Induced Psychosis, Methamphetamine, Cannabis, Theory of Mind. Disclosure of Interest None Declared
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».