Evidence map›Paper›PMID 39617899›Full record

ArticleBMC medicine2024

Phenome-wide diagnostic comparison among suicide deaths and living individuals with chronic pain diagnoses.

Emily DiBlasi, Erin A Kaufman, Sam Webster, Emily E Hagn, Andrey A Shabalin, Danli Chen, Seonggyun Han, Rana Jawish, Eric T Monson, Michael J Staley and 5 more

Abstract read
In one paragraph

Article in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

15 authors.

Emily DiBlasiDepartment of Psychiatry & Huntsman Mental Health Institute, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA. emily.diblasi@hsc.utah.edu.
Erin A KaufmanDepartment of Psychiatry & Huntsman Mental Health Institute, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA.
Sam WebsterDepartment of Psychiatry & Huntsman Mental Health Institute, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA.
Emily E HagnDivision of Pain Medicine, Department of Anesthesiology, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA.
Andrey A ShabalinDepartment of Psychiatry & Huntsman Mental Health Institute, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA.
Danli ChenDepartment of Psychiatry & Huntsman Mental Health Institute, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA.
Seonggyun HanDepartment of Psychiatry & Huntsman Mental Health Institute, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA.
Rana JawishDepartment of Psychiatry & Huntsman Mental Health Institute, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA.
Eric T MonsonDepartment of Psychiatry & Huntsman Mental Health Institute, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA.
Michael J StaleyOffice of the Medical Examiner, Utah Department of Health and Human Services, Salt Lake City, UT, USA.
Brooks R KeeshinSafe and Healthy Families, Primary Children's Hospital, Intermountain Healthcare, Salt Lake City, UT, USA.
Anna R DochertyDepartment of Psychiatry & Huntsman Mental Health Institute, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA.
Amanda V BakianDepartment of Psychiatry & Huntsman Mental Health Institute, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA.
Akiko OkifujiDivision of Pain Medicine, Department of Anesthesiology, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA.
Hilary CoonDepartment of Psychiatry & Huntsman Mental Health Institute, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA.

Funding

CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
Prediction of suicide death using EHR and polygenic risk scoresR01MH123489 · NIMH · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI COON, HILARY · 2020 to 2025
$4.2M
Genome-Wide Association Analysis of Suicide DeathR01MH123619 · NIMH · UNIVERSITY OF UTAH · PI DOCHERTY, ANNA R. · 2020 to 2024
$3.2M
The influence of multiple environmental exposures on suicide riskR01ES032028 · NIEHS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI BAKIAN, AMANDA · 2021 to 2025
$3.1M
Sharing statewide health data for genetic research (1 R01 RR021746-01A1)R01RR021746 · NCRR · UNIVERSITY OF UTAH · PI MINEAU, GERALDINE P · 2007 to 2009
$770k
Examining Mechanisms of Change in Adolescent Self-Inflicted InjuryK23MH135225 · NIMH · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Erin Anne Kaufman · 2024 to 2026
$598k
NCATS NIH HHS UM1 TR004409NCRR NIH HHS R01 RR021746NIEHS NIH HHS R01 ES032028NIMH NIH HHS K23 MH135225NIMH NIH HHS R01 MH123489NIMH NIH HHS R01 MH123619
6 · The paper itself

Abstract

backgroundChronic pain, regardless of its type, is a significant risk factor for suicide. However, not all individuals with chronic pain also experience suicidal thoughts and behaviors. Better characterization of clinical risk profiles and comorbidities across the medical spectrum among people with chronic pain who die by suicide is urgently needed to aid treatment and prevention strategies.

methodsThis case-control study leverages population-based data from the Utah Suicide Mortality Risk Study. Specifically, we identify clinical phenotypes from diagnostic data that differentiate between individuals that died by suicide with chronic pain diagnoses (N = 1,410) and living control individuals who also had chronic pain diagnoses (N = 4,664). Medical diagnostic codes were aggregated via phecodes to perform a phenotype-based phenome-wide association study. Using multivariable logistic regression analysis adjusting for covariates and multiple testing, differences in 1,727 common clinical phenotypes (phecodes) were assessed between suicide deaths and controls with chronic pain diagnoses. Models were also stratified by sex.

resultsChronic pain diagnoses were nearly three times more prevalent in individuals who died by suicide compared with those who did not. Sixty-five phecodes were significantly overrepresented among suicide deaths with chronic pain diagnoses compared with controls with chronic pain diagnoses. Utah suicide deaths with chronic pain had significantly more psychiatric diagnoses (mood disorders, anxiety disorders, attention deficit hyperactivity disorder, posttraumatic stress disorder, personality disorders, schizophrenia/psychosis, substance use related traits and prior overdoses, and diagnoses related to previous suicidal thoughts and behaviors) in addition to insomnia and specific pain related diagnoses compared to Utah controls with chronic pain (odds ratios ranged from 1.40-7.10). Twenty-five phecodes were overrepresented in controls with chronic pain compared to suicides. These were related to preventative care, cancer, obesity and other conditions (odds ratios ranged from 0.16-0.73). Sex-specific analyses largely replicated the combined analyses, yet the strength of the association was stronger for women with phecodes related to prior self-harm.

conclusionsResults identified multiple clinical comorbidities with chronic pain that differentiate suicide deaths from living control individuals with a history of diagnosed chronic pain. Our findings may help discern individuals with chronic pain who may be at greater risk for suicide death.

Indexed as

Chronic PainSuicideAdolescentAdultAgedCase-Control StudiesComorbidityFemaleHumansMaleMiddle AgedPhenotypeRisk FactorsUtahYoung AdultCase control designChronic painChronic pain comorbiditiesClinical phenotypesSuicide

Identifiers

PMID39617899
PMCPMC11610288

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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.