Evidence map›Paper›PMID 42035328›Full record

SynthesisThe Australian and New Zealand journal of psychiatry2026

Suicides in general hospitals: Meta-analysis of incidence and trends.

Jack Schrader, Swapnil Sharma, Anthony Azer, Matthew M Large

Abstract readMeta-Analysis
In one paragraph

Synthesis in The Australian and New Zealand journal of psychiatry, 2026. 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.

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

4 authors.

Jack SchraderDiscipline of Psychiatry & Mental Health, University of New South Wales, Sydney, NSW, Australia.
Swapnil SharmaDiscipline of Psychiatry & Mental Health, University of New South Wales, Sydney, NSW, Australia.
Anthony AzerDiscipline of Psychiatry & Mental Health, University of New South Wales, Sydney, NSW, Australia.
Matthew M LargeDiscipline of Psychiatry & Mental Health, University of New South Wales, Sydney, NSW, Australia.ORCID 0000-0003-0194-7426

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo synthesise the primary literature reporting the incidence of suicide in general hospitals.

methodPeer-reviewed papers reporting suicides among the medically and surgically admitted patients of general hospitals were located by searches of MEDLINE, PsycINFO and EMBASE between 1946 and 2025. Random effects meta-analyses were used to estimate the number of suicides per 1,000,000 admissions, the rate of suicide per 100,000 patient years and the proportion of suicides by common suicide methods. Temporal trends were examined with mixed-effects meta-regression.

resultsThe pooled number of suicides per 1,000,000 admissions was 16.3 (95% confidence interval = [9.8, 27.0]). The pooled rate of suicide per 100,000 patient-years was 82.7 suicides (95% confidence interval = [49.6, 115.7]). Jumping accounted for 52.1% (95% confidence interval = [39.4, 64.4]) of suicides, and 20.6% (95% confidence interval = [13.1, 30.8]) were by hanging. The number of suicides per admission declined over time (point estimate of slope = -0.039, standard error = 0.01,

conclusionThe rate of suicide in general hospital inpatients is an order of magnitude higher than the global suicide rate. While general hospital suicide is a critical patient safety concern, the stability in suicide rates over time highlights the persistent difficulty of suicide prevention in this setting.

Indexed as

Hospitals, GeneralSuicideHumansIncidenceepidemiologygeneral hospitalsinpatientsSuicide

Identifiers

PMID42035328
PMCPMC13291405

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.