Literature DB >> 11869751

The Stanley Foundation Bipolar Treatment Outcome Network. I. Longitudinal methodology.

G S Leverich1, W A Nolen, A J Rush, S L McElroy, P E Keck, K D Denicoff, T Suppes, L L Altshuler, R Kupka, K G Kramlinger, R M Post.   

Abstract

The NIMH-Stanley Foundation Bipolar Treatment Outcome Network, a multisite clinical trials network, has been established to address many of the neglected areas of research in bipolar illness. The Network was designed so that it would be able to conduct randomized clinical trials at several different levels of methodologic rigor (blinded and open-label) both in academic and community practice settings in order to better assess long-term efficacy of existing treatments and develop new ones. In this fashion, large numbers of representative patients with bipolar disorder have been enrolled with an additional focus of elucidating possible clinical and biological predictors of treatment response. The unique focus of the Network is its systematic longitudinal approach to illness so that patients can be assessed comprehensively over the long-term in sequential randomized clinical trials at critical clinical decision points where data on relative efficacy are inadequate. Bipolar I and bipolar II patients with a range of illness variants and comorbidities are included. Daily prospective ratings of severity of mania and depression and associated degree of functional impairment are completed on the NIMH-Life Chart Method and a modified Clinical Global Impressions Scale for Bipolar Illness (CGI-BP) is utilized. More detailed cross-sectional ratings for depression (Inventory of Depressive Symptomatology), mania (Young Mania Rating Scale), and psychosis (Positive and Negative Syndrome Scale) are additionally used at academic centers. This article describes the rationale for the Network, its guiding principles, methods, and study design to systematically assess the highly variable course of bipolar illness and its response to current and future treatments.

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Year:  2001        PMID: 11869751     DOI: 10.1016/s0165-0327(01)00430-x

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  28 in total

1.  Does the use of an automated tool for self-reporting mood by patients with bipolar disorder bias the collected data?

Authors:  Michael Bauer; Natalie Rasgon; Paul Grof; Laszlo Gyulai; Tasha Glenn; Peter C Whybrow
Journal:  MedGenMed       Date:  2005-08-25

2.  The study protocol of the Norwegian randomized controlled trial of electroconvulsive therapy in treatment resistant depression in bipolar disorder.

Authors:  Ute Kessler; Arne E Vaaler; Helle Schøyen; Ketil J Oedegaard; Per Bergsholm; Ole A Andreassen; Ulrik F Malt; Gunnar Morken
Journal:  BMC Psychiatry       Date:  2010-02-23       Impact factor: 3.630

3.  An actigraphy study investigating sleep in bipolar I patients, unaffected siblings and controls.

Authors:  Sanne Verkooijen; Annet H van Bergen; Stefan E Knapen; Annabel Vreeker; Lucija Abramovic; Lucia Pagani; Yoon Jung; Rixt Riemersma-van der Lek; Robert A Schoevers; Joseph S Takahashi; René S Kahn; Marco P M Boks; Roel A Ophoff
Journal:  J Affect Disord       Date:  2016-10-11       Impact factor: 4.839

4.  High educational performance is a distinctive feature of bipolar disorder: a study on cognition in bipolar disorder, schizophrenia patients, relatives and controls.

Authors:  A Vreeker; M P M Boks; L Abramovic; S Verkooijen; A H van Bergen; M H J Hillegers; A T Spijker; E Hoencamp; E J Regeer; R F Riemersma-Van der Lek; A W M M Stevens; P F J Schulte; R Vonk; R Hoekstra; N J M van Beveren; R W Kupka; R M Brouwer; C E Bearden; J H MacCabe; R A Ophoff
Journal:  Psychol Med       Date:  2015-12-01       Impact factor: 7.723

5.  Time to remission and relapse after the first hospital admission in severe bipolar disorder.

Authors:  Evelyn J Bromet; Stephen J Finch; Gabrielle A Carlson; Laura Fochtmann; Ramin Mojtabai; Thomas J Craig; Sun Kang; Qing Ye
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2005-02       Impact factor: 4.328

6.  The relationship between brain volumes and intelligence in bipolar disorder.

Authors:  Annabel Vreeker; Lucija Abramovic; Marco P M Boks; Sanne Verkooijen; Annet H van Bergen; Roel A Ophoff; René S Kahn; Neeltje E M van Haren
Journal:  J Affect Disord       Date:  2017-07-06       Impact factor: 4.839

7.  Cognitive functioning in patients with bipolar disorder: association with depressive symptoms and alcohol use.

Authors:  Marieke J van der Werf-Eldering; Huibert Burger; Esther A E Holthausen; André Aleman; Willem A Nolen
Journal:  PLoS One       Date:  2010-09-28       Impact factor: 3.240

8.  White matter disruptions in patients with bipolar disorder.

Authors:  Lucija Abramovic; Marco P M Boks; Annabel Vreeker; Sanne Verkooijen; Annet H van Bergen; Roel A Ophoff; René S Kahn; Neeltje E M van Haren
Journal:  Eur Neuropsychopharmacol       Date:  2018-05-18       Impact factor: 4.600

9.  Brain network analysis reveals affected connectome structure in bipolar I disorder.

Authors:  Guusje Collin; Martijn P van den Heuvel; Lucija Abramovic; Annabel Vreeker; Marcel A de Reus; Neeltje E M van Haren; Marco P M Boks; Roel A Ophoff; René S Kahn
Journal:  Hum Brain Mapp       Date:  2015-10-10       Impact factor: 5.038

10.  Collaborative care for patients with bipolar disorder: a randomised controlled trial.

Authors:  Trijntje Y G van der Voort; Berno van Meijel; Peter J J Goossens; Janwillem Renes; Aartjan T F Beekman; Ralph W Kupka
Journal:  BMC Psychiatry       Date:  2011-08-17       Impact factor: 3.630

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