Evidence map›Paper›PMID 21783259›Full record

ArticleJournal of affective disorders2011

Prospective predictors of mood episodes in bipolar disorder.

Julia W Y Kam, Amanda R Bolbecker, Brian F O'Donnell, William P Hetrick, Colleen A Brenner

Open access · greenAbstract read
In one paragraph

Article in Journal of affective disorders, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 37% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Julia W Y KamDepartment of Psychology, University of British Columbia, Canada. julia@psych.ubc.ca
Amanda R Bolbecker
Brian F O'Donnell
William P Hetrick
Colleen A Brenner
Indiana University Bloomington · USUniversity of British Columbia · CA

Funding

Cerebellar timing dysfunction in schizophreniaR01MH074983 · NIMH · TRUSTEES OF INDIANA UNIVERSITY · PI HETRICK, WILLIAM P · 2006 to 2016
$3.6M
Neurobehavioral correlates of bipolar disorderR21MH071876 · NIMH · TRUSTEES OF INDIANA UNIVERSITY · PI O'DONNELL, BRIAN FRANCIS · 2004 to 2006
$564k
NIMH NIH HHS R01 MH074983NIMH NIH HHS R21 MH071876
6 · The paper itself

Abstract

background: Bipolar disorder (BD) is associated with alterations in mood, personality, cognition and event-related potential (ERP) measures. The relationship between these multidimensional measures of state and subsequent course of the illness is not well understood. Therefore, this study aimed to prospectively identify factors that predicted the course of mood episodes.

methods: Sixty-five participants with BD were administered the auditory P300 oddball task, clinical assessment instruments and cognitive tests at baseline, and were subsequently administered the SCID interview once a month by telephone for 12 months.

results: Hierarchical regression analyses indicated that the Montgomery-Asberg Depression Rating Scale (MADRS) predicted the number of months spent in a depressed state (p<.001) and in a mixed state (p=.001), while both the MADRS (p<.001) and time to complete Trails A (p=.033) predicted total number of months in a mood episode (across all mood states). Among euthymic patients at entry, Cox regression analyses indicated that higher ratings on both the MADRS (p=.017) and Hypomanic Personality Scale (HPS; p<.001) were associated with both increased likelihood of a mood episode and less time until the onset of a mood episode. LIMITATIONS: : The sample size is relatively small, not all participants completed 12 months, and follow-up assessments were conducted via telephone.

conclusions: Our results suggest that affective and cognitive measures, and personality factors, especially the MADRS and HPS, serve as important predictors of the course of mood episodes or relapse in BD patients. These prospective markers of acute mood states may be used to guide treatment decisions.

Indexed as

AffectPersonalityAdultBipolar DisorderCognitionDepressionFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleMiddle AgedPersonality InventoryProspective StudiesPsychiatric Status Rating ScalesRecurrence

Identifiers

PMID21783259
PMCPMC4052455
OpenAlexW2044040907

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.