Evidence map›Paper›PMID 26748736›Full record

ArticleJournal of affective disorders2016

A tool to predict suicidal ideation and behavior in bipolar disorder: The Concise Health Risk Tracking Self-Report.

Noreen A Reilly-Harrington, Richard C Shelton, Masoud Kamali, Dustin J Rabideau, Leah W Shesler, Madhukar H Trivedi, Susan L McElroy, Louisa G Sylvia, Charles L Bowden, Terence A Ketter and 12 more

Abstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article 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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

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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

22 authors.

Noreen A Reilly-HarringtonDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA. Electronic address: nharrington11@mgh.harvard.edu.
Richard C SheltonDepartment of Psychiatry, University of Alabama at Birmingham, Birmingham, AL, USA.
Masoud KamaliDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
Dustin J RabideauBiostatistics Center, Massachusetts General Hospital, Boston, MA, USA.
Leah W SheslerDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Madhukar H TrivediDepartment of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX, USA.
Susan L McElroyLindner Center of HOPE, Mason, OH, USA; Department of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Louisa G SylviaDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Charles L BowdenDepartment of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA.
Terence A KetterDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Joseph R CalabreseBipolar Disorders Research Center, University Hospital's Case Medical Center, Case Western Reserve University, Cleveland, OH, USA.
Michael E ThaseDepartment of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.
William V BoboDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.
Thilo DeckersbachDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Mauricio TohenDepartment of Psychiatry, University of New Mexico, Health Sciences Center, Albuquerque, NM, USA.
Melvin G McInnisDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
James H KocsisDepartment of Psychiatry, Weill Cornell Medical College of Cornell University, New York, NY, USA.
Alexandra K GoldDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Vivek SinghDepartment of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA.
Daniel M FinkelsteinBiostatistics Center, Massachusetts General Hospital, Boston, MA, USA.
Gustavo KinrysDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Andrew A NierenbergDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.

Funding

AHRQ HHS R01 HS019371
6 · The paper itself

Abstract

backgroundFew brief, self-report measures exist that can reliably predict adverse suicidality outcomes in patients with BD. This study utilized the Concise Health Risk Tracking Self-Report (CHRT) to assess suicidality in patients with BD and examined its psychometric performance, clinical correlates, and prospective value in predicting adverse events related to suicidality.

methodsThe CHRT was administered at baseline and follow-up to 482 adult patients in Bipolar CHOICE, a 6-month randomized comparative effectiveness trial. The Columbia Suicide Severity Rating Scale (CSSRS) was used at baseline to assess lifetime history of suicide attempts and related behaviors. Clinician-rated measures of mood (Bipolar Inventory of Symptoms Scale) and bipolar symptoms (Clinical Global Impressions-Bipolar Version) were conducted at baseline and follow-up.

resultsThe CHRT showed excellent internal consistency and construct validity and was highly correlated with clinician ratings of depression, anxiety, and overall functioning at baseline and throughout the study. Baseline CHRT scores significantly predicted risk of subsequent suicidality-related Serious Adverse Events (sSAEs), after controlling for mood and comorbidity. Specifically, the hazard of a sSAE increased by 76% for every 10-point increase in baseline CHRT score. Past history of suicide attempts and related behaviors, as assessed by the CSSRS, did not predict subsequent sSAEs. LIMITATIONS: The CSSRS was used to assess static risk factors in terms of past suicidal behaviors and may have been a more powerful predictor over longer-term follow-up.

conclusionsThe CHRT offers a quick and robust self-report tool for assessing suicidal risk and has important implications for future research and clinical practice.

Indexed as

Self ReportSuicidal IdeationAdolescentAdultAgedAnxiety DisordersBipolar DisorderComorbidityDepressionFemaleHumansMaleMiddle AgedPersonality InventoryPredictive Value of TestsProportional Hazards ModelsBipolar disorderPsychometricsRiskSelf-reportSuicide

Identifiers

PMID26748736
PMCPMC9900871

What OpenQuestion holds

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Registered trials

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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.