Evidence map›Paper›PMID 27289316›Full record

Trial reportJournal of affective disorders2016

A cluster analytic approach to identifying predictors and moderators of psychosocial treatment for bipolar depression: Results from STEP-BD.

Thilo Deckersbach, Amy T Peters, Louisa G Sylvia, Alexandra K Gold, Pedro Vieira da Silva Magalhaes, David B Henry, Ellen Frank, Michael W Otto, Michael Berk, Darin D Dougherty and 2 more

Open access · greenAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of affective disorders, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Article
  3. 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

12 authors at 7 institutions in 3 countries.

Thilo DeckersbachMassachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States. Electronic address: tdeckersbach@partners.org.
Amy T PetersUniversity of Illinois at Chicago, Chicago, IL, United States.
Louisa G SylviaMassachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States.
Alexandra K GoldMassachusetts General Hospital, Boston, MA, United States.
Pedro Vieira da Silva MagalhaesUniversidade Federal de Rio Grande de Sul, Porto Alegre, Brazil.
David B HenryUniversity of Illinois at Chicago, Chicago, IL, United States.
Ellen FrankUniversity of Pittsburgh, Pittsburgh, PA, United States.
Michael W OttoBoston University, Boston, MA, United States.
Michael BerkDeakin University, Melbourne, VIC, Australia; University of Melbourne, Melbourne, VIC, Australia.
Darin D DoughertyMassachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States.
Andrew A NierenbergMassachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States.
David J MiklowitzUCLA School of Medicine, Los Angeles, CA, United States.
Massachusetts General Hospital · USHarvard University · USUniversity of Illinois Chicago · USBoston University · USUniversidade Federal do Rio Grande · BRUniversity of Melbourne · AUUniversity of Pittsburgh · US

Funding

TREATMENT OF BIPOLAR DISORDER-278980001N01MH080001 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · 1998 to 2003
$5.3M
MAINTENANCE THERAPIES IN BIPOLAR DISORDERSR37MH029618 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FRANK, ELLEN · 1992 to 2002
$3.2M
NIMH NIH HHS N01 MH080001NIMH NIH HHS R37 MH029618
6 · The paper itself

Abstract

backgroundWe sought to address how predictors and moderators of psychotherapy for bipolar depression - identified individually in prior analyses - can inform the development of a metric for prospectively classifying treatment outcome in intensive psychotherapy (IP) versus collaborative care (CC) adjunctive to pharmacotherapy in the Systematic Treatment Enhancement Program (STEP-BD) study.

methodsWe conducted post-hoc analyses on 135 STEP-BD participants using cluster analysis to identify subsets of participants with similar clinical profiles and investigated this combined metric as a moderator and predictor of response to IP. We used agglomerative hierarchical cluster analyses and k-means clustering to determine the content of the clinical profiles. Logistic regression and Cox proportional hazard models were used to evaluate whether the resulting clusters predicted or moderated likelihood of recovery or time until recovery.

resultsThe cluster analysis yielded a two-cluster solution: 1) "less-recurrent/severe" and 2) "chronic/recurrent." Rates of recovery in IP were similar for less-recurrent/severe and chronic/recurrent participants. Less-recurrent/severe patients were more likely than chronic/recurrent patients to achieve recovery in CC (p=.040, OR=4.56). IP yielded a faster recovery for chronic/recurrent participants, whereas CC led to recovery sooner in the less-recurrent/severe cluster (p=.034, OR=2.62). LIMITATIONS: Cluster analyses require list-wise deletion of cases with missing data so we were unable to conduct analyses on all STEP-BD participants.

conclusionsA well-powered, parametric approach can distinguish patients based on illness history and provide clinicians with symptom profiles of patients that confer differential prognosis in CC vs. IP.

Indexed as

AdultBipolar DisorderCluster AnalysisFemaleHumansMaleMiddle AgedPsychotherapyTreatment OutcomeYoung AdultBipolar disorderCluster analysesPsychotherapy

Identifiers

PMID27289316
PMCPMC4976005
OpenAlexW2412852311

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.