Evidence map›Paper›PMID 37010215›Full record

ArticlePsychological medicine2023

A population-wide analysis of the familial risk of suicide in Utah, USA.

Amanda V Bakian, Danli Chen, Chong Zhang, Heidi A Hanson, Anna R Docherty, Brooks Keeshin, Douglas Gray, Ken R Smith, James A VanDerslice, David Z Yu and 2 more

Open access · hybridFull text held, restricted
In one paragraph

Article in Psychological medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 28% of its field
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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Extended familial risk of suicide death is associated with younger age at death and elevated polygenic risk of suicide.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2022
    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

12 authors at 3 institutions in 1 country.

Amanda V BakianDepartment of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City, UT, USA.ORCID 0000-0001-6805-1160
Danli ChenStudy Design & Biostatics Center, Utah Clinical & Translational Science Institute, Salt Lake City, Utah, USA.
Chong ZhangStudy Design & Biostatics Center, Utah Clinical & Translational Science Institute, Salt Lake City, Utah, USA.
Heidi A HansonDepartment of Surgery, University of Utah School of Medicine, Salt Lake City, UT, USA.
Anna R DochertyDepartment of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City, UT, USA.
Brooks KeeshinDepartment of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Douglas GrayDepartment of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City, UT, USA.
Ken R SmithPopulation Sciences, Huntsman Cancer Institute, Salt Lake City, UT, USA.
James A VanDersliceDepartment of Family and Preventive Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA.
David Z YuPopulation Sciences, Huntsman Cancer Institute, Salt Lake City, UT, USA.
Yue ZhangDepartment of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA.
Hilary CoonDepartment of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City, UT, USA.
University of Utah · USSouthern California Clinical and Translational Science Institute · USHuntsman Cancer Institute · US

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
The Utah Study of Fertility, Longevity and AgingR01AG022095 · NIA · UNIVERSITY OF UTAH · PI SMITH, KEN R · 2003 to 2015
$9.4M
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
NCATS NIH HHS UL1 TR002538NCI NIH HHS P30CA2014NIA NIH HHS R01 AG022095NIA NIH HHS R01AG022095NIEHS NIH HHS R01 ES032028
6 · The paper itself

Abstract

backgroundThe degree to which suicide risk aggregates in US families is unknown. The authors aimed to determine the familial risk of suicide in Utah, and tested whether familial risk varies based on the characteristics of the suicides and their relatives.

methodsA population-based sample of 12 160 suicides from 1904 to 2014 were identified from the Utah Population Database and matched 1:5 to controls based on sex and age using at-risk sampling. All first through third- and fifth-degree relatives of suicide probands and controls were identified (

resultsSignificantly elevated HRs were observed in first- (HR 3.45; 95% CI 3.12-3.82) through fifth-degree relatives (HR 1.07; 95% CI 1.02-1.12) of suicide probands. Among first-degree relatives of female suicide probands, the HR of suicide was 6.99 (95% CI 3.99-12.25) in mothers, 6.39 in sisters (95% CI 3.78-10.82), and 5.65 (95% CI 3.38-9.44) in daughters. The HR in first-degree relatives of suicide probands under 25 years at death was 4.29 (95% CI 3.49-5.26).

conclusionsElevated familial suicide risk in relatives of female and younger suicide probands suggests that there are unique risk groups to which prevention efforts should be directed - namely suicidal young adults and women with a strong family history of suicide.

Indexed as

SuicideFamilyFemaleGenetic Predisposition to DiseaseHumansRisk FactorsUtahYoung AdultCox regressionfamilial riskpopulation attributable fractionsuicideunified modelUtah

Identifiers

PMID37010215
PMCPMC10009406
OpenAlexW3195657710

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.