Evidence map›Paper›PMID 40231396›Full record

ArticleThe Australian and New Zealand journal of psychiatry2025

Survival following psychiatric diagnoses in early adulthood.

Kim S Betts, Rosa Alati, Peter M McEvoy, Daniel Rock, Kevin Ek Chai, Crystal Man Ying Lee, Suzanne Robinson

Abstract read
In one paragraph

Article in The Australian and New Zealand journal of psychiatry, 2025. 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

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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.

No citing paper in PubMed yet.

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

7 authors.

Kim S BettsSchool of Population Health, Curtin University, Perth, WA, Australia.
Rosa AlatiSchool of Population Health, Curtin University, Perth, WA, Australia.
Peter M McEvoySchool of Population Health, Curtin University, Perth, WA, Australia.ORCID 0000-0003-2924-6760
Daniel RockWA Primary Health Alliance, Perth, WA, Australia.
Kevin Ek ChaiSchool of Population Health, Curtin University, Perth, WA, Australia.ORCID 0000-0003-1645-0922
Crystal Man Ying LeeSchool of Population Health, Curtin University, Perth, WA, Australia.ORCID 0000-0001-6613-5491
Suzanne RobinsonDeakin Health Economics, Deakin University, Melbourne, VIC, Australia.

Funding

Digital Health Cooperative Research Centre (DHCRC DHCRC-0076
6 · The paper itself

Abstract

aimsTo establish the increased all-cause mortality risk after an inpatient episode of care with a diagnosis of a severe psychiatric disorder in young people.

methodsThe data included all psychiatric inpatient episodes for psychiatric diagnoses in Western Australia between 2005 and 2022 linked with the state death registry. Participants were only included if they turned 18 years of age between 2005 and 2016, so survival from first adult admission until the study end date could be compared with age-gender matched life tables.

resultsA total of 18,893 individuals had an admission with a primary or secondary diagnosis for a selected psychiatric diagnosis in the study period, across which time 485 died. Admission for substance use disorders presented the greatest risk of mortality, increasing the risk of death in early adulthood by more than three times (observed/expected = 3.07; 95% confidence interval = [2.76, 3.42];

conclusionInpatient admission for psychiatric disorders increased the risk of all-cause mortality in early adulthood by between two and three times and the increased death rate did not substantively reduce over time. Effective long-term support services are needed to reduce the premature mortality observed among these young adults.

Indexed as

Bipolar DisorderHospitalizationMental DisordersRegistriesSubstance-Related DisordersAdolescentAdultComorbidityFemaleHumansMaleWestern AustraliaYoung Adultearly adulthoodinpatient admissionMortalitypsychiatric diagnosis

Identifiers

PMID40231396
PMCPMC12102512

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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.