Evidence map›Paper›PMID 27105456›Full record

ArticleThe Journal of nervous and mental disease2016

Personal Recovery as a Protective Factor Against Suicide Ideation in Individuals With Schizophrenia.

Danielle R Jahn, Jordan E DeVylder, Amy L Drapalski, Deborah Medoff, Lisa B Dixon

Abstract read
In one paragraph

Article in The Journal of nervous and mental disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
–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, 3 syntheses or guidelines pooled it.

  1. Pooled it
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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.

Danielle R Jahn*Department of Psychiatry, University of Maryland School of Medicine; †VA Capitol Health Care Network (VISN 5) Mental Illness Research, Education, and Clinical Center, VA Maryland Health Care System; ‡School of Social Work, University of Maryland, Baltimore, MD; §Department of Psychiatry, Columbia University; and ‖New York State Psychiatric Institute, New York, NY.
Jordan E DeVylder
Amy L Drapalski
Deborah Medoff
Lisa B Dixon

Funding

Assessing Recovery in Veterans with Serious Mental IllnessI01RX000252 · VA · BALTIMORE VA MEDICAL CENTER · PI BELLACK, ALAN S · 2012 to 2014
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RRD VA I01 RX000252
6 · The paper itself

Abstract

Suicide rates are elevated in individuals with schizophrenia, yet evidence is mixed regarding the roles of positive and negative symptoms as risk factors for suicide in this population, suggesting that there may be other influential variables. One such variable may be personal recovery. Therefore, the purpose of this study was to test the hypothesis that personal recovery would moderate the relationship between symptoms of schizophrenia and suicide ideation. This hypothesis was tested in a sample of 169 individuals diagnosed with schizophrenia or schizoaffective disorder using a Poisson regression model. Results suggested that there was no significant interaction between recovery and symptoms of schizophrenia. However, recovery was a significant predictor of suicide ideation after controlling for psychiatric symptoms. These findings indicate that recovery is associated with lower suicide ideation and thus may protect against it. Thus, recovery should be assessed, and potentially intervened upon, to reduce suicide risk in individuals with schizophrenia.

Indexed as

Recovery of FunctionSchizophrenic PsychologySuicidal IdeationAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedProtective FactorsSchizophreniaSuicide, Attempted

Identifiers

PMID27105456
PMCPMC5075268

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.