4.4 Article Proceedings Paper

A randomized controlled trial of the effect of sublingual orally disintegrating olanzapine versus oral olanzapine on body mass index: The PLATYPUS Study

期刊

SCHIZOPHRENIA RESEARCH
卷 113, 期 1, 页码 41-48

出版社

ELSEVIER
DOI: 10.1016/j.schres.2009.05.024

关键词

Schizophrenia; Bipolar; Disintegrating olanzapine; Weight; Metabolic

向作者/读者索取更多资源

Background: Patients with schizophrenia and bipolar disorder have frequently reported weight gain during olanzapine treatment Previous studies have observed a decrease in weight gain, or weight loss, in patients switching from standard olanzapine tablets (SOT) to orally disintegrating olanzapine (ODO) tablets. The primary objective of this study was to investigate the change in body mass index (BMI) in patients who had previously gained weight with SOT and continued with this therapy during the study period, compared with those patients who switched to ODO during the study period. Methods: This was a 16-week, multicentre, randomized, double-blind, double-dummy, study of outpatients diagnosed with schizophrenia, schizoaffective disorder, related psychotic disorder or bipolar disorder, who were taking 5-20 mg SOT daily. Patients continued treatment with 5-20 mg olanzapine in a flexible single daily dose, and were randomized to either receive sublingual ODO plus an oral placebo, or sublingual placebo plus SOT. Results: No statistically significant between group differences in mean change from baseline in BMI, weight or waist circumference were observed. Analysis of change in body weight from baseline, by pre-specified category (no change, loss of >= 1.5 kg, gain of >= 1.5 kg), revealed a significant difference between groups, favoring ODO patients, who also experienced a significant reduction in subjective appetite and better treatment compliance, compared to patients in the SOT group. Conclusions: In this study, patients treated with ODO experienced a similar mean change in BMI and weight from baseline, to those patients treated with SOT. (C) 2009 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Review Clinical Neurology

What not to use in bipolar disorders: A systematic review of non-recommended treatments in clinical practice guidelines

Fabiano A. Gomes, Raphael O. Cerqueira, Yena Lee, Rodrigo B. Mansur, Flavio Kapczinski, Roger S. McIntyre, Lakshmi N. Yatham, Michael Berk, Roumen Milev, Elisa Brietzke

Summary: This study systematically reviewed 29 guidelines published by national and international organizations from 1994 to 2020, revealing that most guidelines make non-recommended treatment suggestions for patients with bipolar disorder. However, there is significant variation in how information regarding lack of efficacy data or potential harm is conveyed to the reader.

JOURNAL OF AFFECTIVE DISORDERS (2022)

Article Psychiatry

Common Data Elements to Facilitate Sharing and Re-use of Participant-Level Data: Assessment of Psychiatric Comorbidity Across Brain Disorders

Anthony L. Vaccarino, Derek Beaton, Sandra E. Black, Pierre Blier, Farnak Farzan, Elizabeth Finger, Jane A. Foster, Morris Freedman, Benicio N. Frey, Susan Gilbert Evans, Keith Ho, Mojib Javadi, Sidney H. Kennedy, Raymond W. Lam, Anthony E. Lang, Bianca Lasalandra, Sara Latour, Mario Masellis, Roumen V. Milev, Daniel J. Mueller, Douglas P. Munoz, Sagar V. Parikh, Franca Placenza, Susan Rotzinger, Claudio N. Soares, Alana Sparks, Stephen C. Strother, Richard H. Swartz, Brian Tan, Maria Carmela Tartaglia, Valerie H. Taylor, Elizabeth Theriault, Gustavo Turecki, Rudolf Uher, Lorne Zinman, Kenneth R. Evans

Summary: Brain-CODE is an informatics platform that collects, stores, and integrates data to understand the causes of brain dysfunction and develop new treatment approaches. By providing access to diverse datasets, including clinical, neuroimaging, and molecular data, Brain-CODE facilitates analyses within and across brain disorders. The establishment of Common Data Elements ensures consistency in data collection and enhances the ability to analyze pooled participant-level data.

FRONTIERS IN PSYCHIATRY (2022)

Article Medicine, Research & Experimental

Microbial Ecosystem Therapeutic-2 Intervention in People With Major Depressive Disorder and Generalized Anxiety Disorder: Phase 1, Open-Label Study

Arthi Chinna Meyyappan, Evan Forth, Roumen Milev

Summary: This study provides the first evidence for the role of microbial ecosystem therapy in treating depression and anxiety. The therapeutic was found to be safe and well-tolerated, with positive treatment response in the majority of participants.

INTERACTIVE JOURNAL OF MEDICAL RESEARCH (2022)

Article Clinical Neurology

Baseline anxiety, and early anxiety/depression improvement in anxious depression predicts treatment outcomes with escitalopram: A CAN-BIND-1 study report

Yuelee Khoo, Ilya Demchenko, Benicio N. Frey, Roumen Milev, Arun Ravindran, Sagar Parikh, Keith Ho, Susan Rotzinger, Wendy Lou, Raymond W. Lam, Sidney H. Kennedy, Venkat Bhat

Summary: Early improvement in anxiety and depression during the first two weeks of treatment significantly predicts the eventual treatment outcomes for anxiety and depression. Baseline anxiety severity is a strong predictor of anxiety outcomes at weeks 2 and 8. The study suggests that focusing on early improvement in anxiety may be more beneficial in predicting treatment outcomes for anxiety depression.

JOURNAL OF AFFECTIVE DISORDERS (2022)

Review Psychiatry

Canadian Network for Mood and Anxiety Treatments (CANMAT) Task Force Report: A Systematic Review and Recommendations of Cannabis use in Bipolar Disorder and Major Depressive Disorder

Smadar V. Tourjman, Gabriella Buck, Didier Jutras-Aswad, Atul Khullar, Shane McInerney, Gayatri Saraf, Jairo V. Pinto, Stephane Potvin, Marie-Josee Poulin, Benicio N. Frey, Sidney H. Kennedy, Raymond W. Lam, Glenda MacQueen, Roumen Milev, Sagar V. Parikh, Arun Ravindran, Roger S. McIntyre, Ayal Schaffer, Valerie H. Taylor, Michael van Ameringen, Lakshmi N. Yatham, Serge Beaulieu

Summary: This task force report examines the association between cannabis use and bipolar disorder, major depressive disorder, and comorbid cannabis use disorder. The results indicate that cannabis use is associated with worsened course and functioning of both mood disorders, particularly in bipolar disorder. However, the treatment of comorbid cannabis use disorder and major depressive disorder did not show significant results.

CANADIAN JOURNAL OF PSYCHIATRY-REVUE CANADIENNE DE PSYCHIATRIE (2023)

Review Psychiatry

The Canadian Network for Mood and Anxiety Treatments (CANMAT) Task Force Report: Serotonergic Psychedelic Treatments for Major Depressive Disorder

Joshua D. Rosenblat, M. Ishrat Husain, Yena Lee, Roger S. McIntyre, Rodrigo B. Mansur, David Castle, Hilary Offman, Sagar Parikh, Benicio N. Frey, Ayal Schaffer, Kyle T. Greenwaym, Nicolas Garel, Serge Beaulieu, Sidney H. Kennedy, Raymond W. Lam, Roumen Milev, Arun Ravindran, Valerie Tourjman, Michael Van Ameringen, Lakshmi N. Yatham, Valerie Taylor

Summary: There is currently only low-level evidence to support the efficacy and safety of psychedelics for major depressive disorder.

CANADIAN JOURNAL OF PSYCHIATRY-REVUE CANADIENNE DE PSYCHIATRIE (2023)

Article Psychology, Clinical

Prediction of depression treatment outcome from multimodal data: a CAN-BIND-1 report

Mehri Sajjadian, Rudolf Uher, Keith Ho, Stefanie Hassel, Roumen Milev, Benicio N. Frey, Faranak Farzan, Pierre Blier, Jane A. Foster, Sagar Parikh, Daniel J. Mueller, Susan Rotzinger, Claudio N. Soares, Gustavo Turecki, Valerie H. Taylor, Raymond W. Lam, Stephen C. Strother, Sidney H. Kennedy

Summary: Predicting treatment outcomes for major depressive disorder can be improved by combining clinical, neuroimaging, and molecular data. Early measurement during treatment can increase precision, but adding more features does not necessarily enhance prediction accuracy.

PSYCHOLOGICAL MEDICINE (2023)

Article Psychiatry

Neurocognition and Depressive Symptoms have Unique Pathways to Predicting Different Domains of Functioning in Major Depressive Disorder

Chelsea Wood-Ross, Tanya Tran, Melissa Milanovic, Ruzica Jokic, Roumen Milev, Christopher R. R. Bowie

Summary: This study examined the role of neurocognitive abilities, depressive symptom severity, dysfunctional attitudes, and functional capacity in predicting daily functioning in individuals with major depressive disorder (MDD). The results showed that both cognition and depressive symptoms predicted productive functioning, with dysfunctional attitudes mediating these relationships. Functional competence played a significant role in mediating the relationship between neurocognition and productive functioning. Depressive symptoms and cognition were direct predictors of social functioning.

CANADIAN JOURNAL OF PSYCHIATRY-REVUE CANADIENNE DE PSYCHIATRIE (2023)

Article Psychiatry

The Differential Relation of Emotional, Physical, and Sexual Abuse Histories to Antidepressant Treatment Remission and Persistence of Anhedonia in Major Depression: A CAN-BIND-1 Report

Kate L. Harkness, Trisha Chakrabarty, Sakina J. Rizvi, Raegan Mazurka, Lena Quilty, Rudolf Uher, Roumen V. Milev, Benicio N. Frey, Sagar V. Parikh, Jane A. Foster, Susan Rotzinger, Sidney H. Kennedy, Raymond W. Lam

Summary: This study aims to investigate the differential associations of different types of childhood maltreatment with the response to antidepressant medication, and the role of anhedonia in driving poor response in patients with specific maltreatment histories. The results suggest that the severity of emotional maltreatment perpetrated by the mother is a significant predictor of lower odds of remission at week 16. In contrast, the relationships between paternal-perpetrated emotional maltreatment and physical maltreatment with week 16 remission were mediated through the severity of anhedonia at week 8.

CANADIAN JOURNAL OF PSYCHIATRY-REVUE CANADIENNE DE PSYCHIATRIE (2023)

Article Psychiatry

Does the Ranking Matter? A Retrospective Cohort Study Investigating the Impact of the 2018 CANMAT and ISBD Guidelines for the Management of Patients with Bipolar Disorder Treatment Recommendations for Acute Mania on Rehospitalization Rates

Fabiano A. Gomes, Henrique Dumay, Julia Fagen, Natalie Palma, Roumen Milev, Elisa Brietzke

Summary: This study aimed to investigate the impact of prescribers' adherence to the 2018 CANMAT and ISBD treatment guidelines on the readmission rates of patients hospitalized for mania. The results showed that compared to no treatment, first-line treatments were associated with lower 30-day rehospitalization rates and longer time-to-readmission.

CANADIAN JOURNAL OF PSYCHIATRY-REVUE CANADIENNE DE PSYCHIATRIE (2023)

Article Health Care Sciences & Services

Evaluating the Efficacy of Web-Based Cognitive Behavioral Therapy for the Treatment of Patients With Bipolar II Disorder and Residual Depressive Symptoms: Protocol for a Randomized Controlled Trial

Gilmar Gutierrez, Callum Stephenson, Jazmin Eadie, Elnaz Moghimi, Mohsen Omrani, Dianne Groll, Claudio N. Soares, Roumen Milev, Gustavo Vazquez, Megan Yang, Nazanin Alavi

Summary: The study aims to establish the first e-CBT program for the treatment of BD-II with residual depressive symptoms. The primary objective is to determine the effect of e-CBT on managing BD symptomatology, while the secondary objective is to assess its effects on quality of life and resilience. User feedback will also be gathered to improve and optimize the program.

JMIR RESEARCH PROTOCOLS (2023)

Article Psychiatry

Practices, knowledge, and attitudes about lithium treatment: Results of online surveys completed by clinicians and lithium-treated patients

Fabiano A. Gomes, Eleftherios K. Soleas, Andrew Kcomt, Anne Duffy, Roumen Milev, Robert M. Post, Michael Bauer, Elisa Brietzke

Summary: This study investigated clinicians' practices and confidence in lithium treatment, as well as patients' experiences, knowledge, and attitudes about lithium. The results showed that most clinicians and patients had positive views of lithium, but there was room for improvement in terms of following monitoring recommendations.

JOURNAL OF PSYCHIATRIC RESEARCH (2023)

Article Psychiatry

Response trajectories during escitalopram treatment of patients with major depressive disorder

John-Jose Nunez, Yang S. Liu, Bo Cao, Benicio N. Frey, Keith Ho, Roumen Milev, Daniel J. Mueller, Susan Rotzinger, Claudio N. Soares, Valerie H. Taylor, Rudolf Uher, Sidney H. Kennedy, Raymond W. Lam

Summary: Depression is a complex disorder with a heterogeneous response to treatment. This study used machine learning to cluster patients with depression and found three distinct response patterns. The subjective mood state/anhedonia was identified as the core feature of response to escitalopram, but there were also other patterns related to neurovegetative symptoms, activation, and cognition.

PSYCHIATRY RESEARCH (2023)

Article Psychiatry

The course of insomnia symptoms during the acute treatment of major depressive disorder: A CAN-BIND-1 report

Manish Dama, Michelle Wu, Vanessa K. Tassone, Ilya Demchenko, Benicio N. Frey, Roumen Milev, Arun Ravindran, Sagar Parikh, Susan Rotzinger, Wendy Lou, Raymond W. Lam, Sidney H. Kennedy, Venkat Bhat

Summary: This study examined the changes in insomnia symptoms during the acute treatment of major depressive disorder with antidepressant medication. The results showed that monitoring subjective sleep-onset and mid-nocturnal insomnia throughout the treatment can predict acute remission of depression.

PSYCHIATRY RESEARCH (2023)

Article Psychiatry

Predicting recurrence of major depressive episodes using the Depression Implicit Association Test: A Canadian biomarker integration network in depression (CAN-BIND) report

Katerina Rnic, Joelle Lemoult, Ivan J. Torres, Trisha Chakrabarty, Jane Foster, Benicio N. Frey, Kate L. Harkness, Keith Ho, Qingqin S. Li, Roumen Milev, Lena C. Quilty, Susan Rotzinger, Claudio N. Soares, Rudolf Uher, Sidney H. Kennedy, Raymond W. Lam

Summary: Implicit self-depressed associations (SDAs) may serve as a cognitive biomarker for predicting depression recurrence, as higher baseline SDAs and increasing SDAs over time were found to be associated with shorter time to MDD recurrence among treatment responders.

PSYCHIATRY RESEARCH (2023)

暂无数据