Evidence map›Paper›PMID 35061760›Full record

Trial reportPloS one2022

Validation of a Computerized Adaptive Test Suicide Scale (CAT-SS) among United States Military Veterans.

Lisa A Brenner, Lisa M Betthauser, Molly Penzenik, Nazanin Bahraini, Robert D Gibbons

Abstract readClinical TrialMulticenter StudyValidation Study
In one paragraph

Trial report in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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

5 authors.

Lisa A BrennerVeterans Health Administration Rocky Mountain Mental Illness Research Education and Clinical Center (RM MIRECC), Rocky Mountain Regional Veterans Affairs Medical Center, Eastern Colorado Health Care System, Aurora, Colorado, United States of America.
Lisa M BetthauserVeterans Health Administration Rocky Mountain Mental Illness Research Education and Clinical Center (RM MIRECC), Rocky Mountain Regional Veterans Affairs Medical Center, Eastern Colorado Health Care System, Aurora, Colorado, United States of America.
Molly PenzenikVeterans Health Administration Rocky Mountain Mental Illness Research Education and Clinical Center (RM MIRECC), Rocky Mountain Regional Veterans Affairs Medical Center, Eastern Colorado Health Care System, Aurora, Colorado, United States of America.
Nazanin BahrainiVeterans Health Administration Rocky Mountain Mental Illness Research Education and Clinical Center (RM MIRECC), Rocky Mountain Regional Veterans Affairs Medical Center, Eastern Colorado Health Care System, Aurora, Colorado, United States of America.
Robert D GibbonsDepartment of Medicine, University of Chicago, Chicago, Illinois, United States of America.

Funding

Harnessing Computerized Adaptive Testing, Transdiagnostic Theories of Suicidal Behavior, and Machine Learning to Advance the Emergent Assessment of Suicidal Youth (EASY).R01MH100155 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BRENT, DAVID A., GIBBONS, ROBERT D · 2013 to 2022
$8.0M
NIMH NIH HHS R01 MH100155
6 · The paper itself

Abstract

To validate the Computerized Adaptive Test Suicide Scale (CAT-SS), Veterans completed measures at baseline (n = 305), and 6- (n = 249), and 12-months (n = 185), including the CAT-SS (median items 11, duration of administration 107 seconds) and the Columbia-Suicide Severity Rating Scale (C-SSRS). Logistic regression was used to relate CAT-SS scores (baseline) to C-SSRS assessed outcomes (active ideation with plan and intent; attempt; interrupted, aborted or self-interrupted attempt, or preparatory acts or behaviors; all outcomes combined). A mixed-effects logistic regression model was used to evaluate the relationship between the lagged CAT-SS scores and outcomes (6- and 12-months). The baseline CAT-SS demonstrated predictive accuracy for all outcomes at 6-months, and similar results were found for baseline and all outcomes at and through 12-months. Longitudinal analysis revealed for every 10-point change in the CAT-SS there was a 50-77% increase in the likelihood of suicide-related outcomes. The CAT-SS demonstrated added value when compared to current suicide risk prediction practices.

Indexed as

Models, PsychologicalSuicideSuicide PreventionAdultAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedPsychometricsVeterans

Identifiers

PMID35061760
PMCPMC8782529

What OpenQuestion holds

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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.