Evidence map›Paper›PMID 42768875›Full record

Observational studyTurk psikiyatri dergisi = Turkish journal of psychiatry2026

Clinical Outcomes Following Suicide Attempts: In-Hospital Mortality and Discharge Against Medical Advice.

Hüseyin Döngelli, Melis Kilinç, Seda Misirlioğlu Sücan, Çağatay Çakir, Binnaz Akinci, Ahmet Peker, Mehmet Yavuz

Abstract readObservational Study
In one paragraph

Observational study in Turk psikiyatri dergisi = Turkish 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.

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0citing papers in PubMed
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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

7 authors.

Hüseyin Döngelli
Melis Kilinç
Seda Misirlioğlu Sücan
Çağatay Çakir
Binnaz Akinci
Ahmet Peker
Mehmet Yavuz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSuicide attempts remain a major public health concern worldwide. This study aimed to analyze factors associated with inhospital mortality and treatment Discontinuation Againts Medical Advice (DAMA) following suicide attempts.

methodsThis retrospective, record-based, single-center observational study included adult patients who presented to the emergency department after a suicide attempt between January 2009 and December 2024. Data were obtained from the hospital information system, medical records, and forensic notification files. Factors associated with in-hospital mortality and DAMA were evaluated using logistic regression analyses.

resultsA total of 2,909 individuals were included (mean age 30±12 years; 64.4% female). Drug ingestion was the most common suicide method (84.2%). In-hospital mortality was observed in 2.2% of cases (n=63), with the highest lethality rate (94.1%) among individuals who attempted suicide by jumping from heights of five floors or higher. In multivariable analysis, older age (OR: 1.04; 95% CI: 1.02–1.06), male sex (OR: 4.40; 95% CI: 2.29–8.43), schizophrenia (OR: 3.63; 95% CI: 1.02–12.88), and alcohol use (OR: 2.38; 95% CI: 1.34–4.24) were identified as independent predictors of in-hospital mortality. Discontinuation against medical advice (DAMA) occurred in 53.8% of cases (n=1,564) and was significantly associated with younger age, absence of a prior suicide attempt, and fewer psychiatric comorbidities.

conclusionsSuicide attempt aftercare should extend beyond acute medical stabilization and incorporate proactive, individualized strategies aimed at improving patient engagement and mitigating method-specific risks.

Indexed as

Hospital MortalityPatient DischargeSuicide, AttemptedTreatment RefusalAdolescentAdultFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsYoung AdultDischarge against medical.

Identifiers

PMID42768875
PMCPMC13458418

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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.