Evidence map›Paper›PMID 36945597›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Correlates of suicidal behaviors and genetic risk among United States veterans with schizophrenia or bipolar I disorder.

Tim B Bigdeli, Peter B Barr, Nallakkandi Rajeevan, David P Graham, Yuli Li, Jacquelyn L Meyers, Bryan R Gorman, Roseann E Peterson, Frederick Sayward, Krishnan Radhakrishnan and 26 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

36 authors at 14 institutions in 1 country.

Tim B BigdeliVA New York Harbor Healthcare System, Brooklyn, NY.
Peter B BarrVA New York Harbor Healthcare System, Brooklyn, NY.
Nallakkandi RajeevanClinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT.
David P GrahamMichael E. DeBakey VA Medical Center, Houston, TX.
Yuli LiClinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT.
Jacquelyn L MeyersDepartment of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY.
Bryan R GormanMassachusetts Area Veterans Epidemiology, Research and Information Center (MAVERIC), Jamaica Plain, MA.
Roseann E PetersonVA New York Harbor Healthcare System, Brooklyn, NY.
Frederick SaywardClinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT.
Krishnan RadhakrishnanNational Mental Health and Substance Use Policy Laboratory, Substance Abuse and Mental Health Services Administration, Rockville, MD.
Sundar NatarajanVA New York Harbor Healthcare System, Brooklyn, NY.
David A NielsenMichael E. DeBakey VA Medical Center, Houston, TX.
Anna V WilkinsonMichael E. DeBakey VA Medical Center, Houston, TX.
Anil K MalhotraCenter for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY.
Hongyu ZhaoClinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT.
Mary BrophyMassachusetts Area Veterans Epidemiology, Research and Information Center (MAVERIC), Jamaica Plain, MA.
Yunling ShiMassachusetts Area Veterans Epidemiology, Research and Information Center (MAVERIC), Jamaica Plain, MA.
Timothy J O'LearyOffice of Research and Development, Veterans Health Administration, Washington, DC.
Theresa GleasonOffice of Research and Development, Veterans Health Administration, Washington, DC.
Ronald PrzygodzkiOffice of Research and Development, Veterans Health Administration, Washington, DC.
Saiju PyarajanMassachusetts Area Veterans Epidemiology, Research and Information Center (MAVERIC), Jamaica Plain, MA.
Sumitra MuralidharOffice of Research and Development, Veterans Health Administration, Washington, DC.
J Michael GazianoMassachusetts Area Veterans Epidemiology, Research and Information Center (MAVERIC), Jamaica Plain, MA.
Million Veteran Program (MVP)
Cooperative Studies Program (CSP) #572
Grant D HuangOffice of Research and Development, Veterans Health Administration, Washington, DC.
John ConcatoYale University School of Medicine, New Haven, CT.
Larry J SieverDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, NY.
Lynn E DeLisiDepartment of Psychiatry, Cambridge Health Alliance, Cambridge, MA.
Nathan A KimbrelDurham VA Health Care System, Durham, NC.
Jean C BeckhamDurham VA Health Care System, Durham, NC.
Alan C SwannMichael E. DeBakey VA Medical Center, Houston, TX.
Thomas R KostenMichael E. DeBakey VA Medical Center, Houston, TX.
Ayman H FanousVA New York Harbor Healthcare System, Brooklyn, NY.
Mihaela AslanClinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT.
Philip D HarveyBruce W. Carter Miami Veterans Affairs (VA) Medical Center, Miami, FL.
Michael E. DeBakey VA Medical Center · USVA Office of Research and Development · USYale University · USSUNY Downstate Health Sciences University · USCambridge Health Alliance · USBoston University · USCenter for Drug Evaluation and Research · USDuke University · USHarvard University Press · USNorthwell Health · USSubstance Abuse and Mental Health Services Administration · USUniversity of Arizona · USUniversity of Miami · USVA NY Harbor Healthcare System · US

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI Jacquelyn Leigh Meyers · 1989 to 2026
$162.7M
Project 5 - Genetic architecture of alcohol use disorder using cross-trait genetic correlations and public next-generation sequencing studiesP50AA022537 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI Brien P Riley · 2014 to 2026
$19.6M
The development of alcohol misuse and related problems from adolescence to early midlifeR01AA015416 · NIAAA · WASHINGTON UNIVERSITY · PI DICK, DANIELLE M, SALVATORE, JESSICA E · 2005 to 2024
$7.6M
Using the Genetic Architecture of Substance Use Disorders to Advance Gene Identification and Understanding of Pathways of RiskR01DA050721 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI DANIELLE M DICK · 2020 to 2026
$3.9M
Twin, molecular, and developmental approaches to understanding alcohol misuseK02AA018755 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI DICK, DANIELLE M · 2010 to 2019
$1.3M
NIAAA NIH HHS K02 AA018755NIAAA NIH HHS P50 AA022537NIAAA NIH HHS R01 AA015416NIAAA NIH HHS U10 AA008401NIDA NIH HHS R01 DA050721
6 · The paper itself

Abstract

Objective: Persons diagnosed with schizophrenia (SCZ) or bipolar I disorder (BPI) are at high risk for self-injurious behavior, suicidal ideation, and suicidal behaviors (SB). Characterizing associations between diagnosed mental and physical health problems, prior pharmacological treatments, and aggregate genetic factors has potential to inform risk stratification and mitigation strategies. Methods: In this study of 3,942 SCZ and 5,414 BPI patients receiving VA care, self-reported SB and ideation were assessed using the Columbia Suicide Severity Rating Scale (C-SSRS). These cross-sectional data were integrated with electronic health records (EHR), and compared by lifetime diagnoses, treatment histories, follow-up screenings, and mortality data. Polygenic scores (PGS) for traits related to psychiatric disorders, substance use, and cognition were constructed using available genomic data, and exploratory genome-wide association studies were performed to identify and prioritize specific loci. Results: Only 20% of veterans who self-reported SB had a corroborating ICD-9/10 code in their EHR; and among those who denied prior behaviors, more than 20% reported new-onset SB at follow-up. SB were associated with a range of psychiatric and non-psychiatric diagnoses, and with treatment with specific classes of psychotropic medications (e.g., antidepressants, antipsychotics, etc.). PGS for externalizing behaviors, smoking, suicide attempt, and major depressive disorder were also associated with attempt and ideation. Conclusions: Among individuals with a diagnosed mental illness, a GWAS for SB did not yield any significant loci. Self-reported SB were strongly associated with clinical variables across several EHR domains. Overall, clinical and polygenic analyses point to sequelae of substance-use related behaviors and other psychiatric comorbidities as strong correlates of prior and subsequent SB. Nonetheless, past SB was frequently not documented in clinical settings, underscoring the value of regular screening based on direct, in-person assessments, especially among high-risk individuals.

Identifiers

PMID36945597
PMCPMC10029042
OpenAlexW4323539922

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.