Evidence map›Paper›PMID 30652941›Full record

Trial reportJournal of psychopharmacology (Oxford, England)2019

The Concise Health Risk Tracking-Self Report: Psychometrics within a placebo-controlled antidepressant trial among depressed outpatients.

Joseph M Trombello, Michael O Killian, Bruce D Grannemann, Augustus John Rush, Taryn L Mayes, Ramin V Parsey, Melvin McInnis, Manish K Jha, Aasia Ali, Patrick J McGrath and 5 more

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of psychopharmacology (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Association between irritability and suicidal ideation in three clinical trials of adults with major depressive disorder.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
    Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. VitalSignPharmaceuticals (Basel, Switzerland) · 2019
    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

15 authors.

Joseph M Trombello1 Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Michael O Killian2 College of Social Work, Florida State University, Tallahassee, FL, USA.ORCID 0000-0002-2287-9007
Bruce D Grannemann1 Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Augustus John Rush3 Department of Psychiatry, Duke Medical School, Durham, NC, USA.
Taryn L Mayes1 Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Ramin V Parsey6 Department of Psychiatry, Stony Brook University, Stony Brook, NY USA.
Melvin McInnis7 Department of Psychiatry, University of Michigan, Ann Arbor, MI USA.
Manish K Jha1 Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Aasia Ali1 Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Patrick J McGrath8 Department of Psychiatry, Columbia University, New York, NY USA.
Phil Adams9 New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York, NY USA.
Maria A Oquendo10 Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
Myrna M Weissman8 Department of Psychiatry, Columbia University, New York, NY USA.
Thomas J Carmody1 Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Madhukar H Trivedi1 Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0002-2983-1110

Funding

Establishing Moderators/Biosignatures of Antidepressant Response- Clinical CareU01MH092221 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI TRIVEDI, MADHUKAR H. · 2010 to 2015
$9.7M
Biosignatures of Treatment Remission in Major DepressionU01MH092250 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MCGRATH, PATRICK J, PARSEY, RAMIN V. · 2010 to 2015
$8.9M
NIMH NIH HHS U01 MH092221NIMH NIH HHS U01 MH092250
6 · The paper itself

Abstract

BACKGROUND/

aimsWhile substantial prior research has evaluated the psychometric properties of the 12-item Concise Health Risk Tracking-Self Report (CHRT-SR

methodsParticipants in the multi-site Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care (EMBARC) study ( n=278) provided data to evaluate the factor structure and sensitivity to change over time of the CHRT-SR RESULTS/OUTCOMES: Factor analysis confirmed two factors: propensity (comprised of first-order factors including pessimism, helplessness, social support, and despair) and suicidal thoughts. Internal consistency (α's ranged from 0.69-0.92) and external validity were both acceptable, with the total score and propensity factor scores significantly correlated with total scores and single-item suicidal-thoughts scores on the self-report Quick Inventory of Depressive Symptoms and the clinician-rated 17-item Hamilton Rating Scale for Depression. Through analyzing CHRT-SR CONCLUSIONS/

interpretationThese results confirm the reliability, validity, and applicability of the CHRT-SR

Indexed as

Suicidal IdeationAdultAntidepressive AgentsDouble-Blind MethodFemaleHumansMajor Depressive DisorderMaleMiddle AgedOutpatientsPsychiatric Status Rating ScalesPsychometricsReproducibility of ResultsSelf ReportSertralineYoung AdultAntidepressive AgentsSertralineConcise Health Risk Tracking-Self Reportmajor depressionpsychometricssuicidal thoughtssuicide ratings

Identifiers

PMID30652941
PMCPMC6379122

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.