Evidence map›Paper›PMID 36327226›Full record

ArticlePloS one2022

Characteristics and predictive factors of severe or fatal suicide outcome in patients hospitalized due to deliberate self-poisoning.

Stefanie Geith, Maja Lumpe, Johannes Schurr, Christian Rabe, Armin Ott, Tobias Zellner, Michael Rentrop, Florian Eyer

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Stefanie GeithDivision of Clinical Toxicology and Poison Control Centre Munich, Department of Internal Medicine II, School of Medicine, Technical University of Munich, Munich, Germany.ORCID 0000-0002-2726-2823
Maja LumpeDivision of Clinical Toxicology and Poison Control Centre Munich, Department of Internal Medicine II, School of Medicine, Technical University of Munich, Munich, Germany.
Johannes SchurrLungenfachkliniken München-Gauting, Gauting, Germany.
Christian RabeDivision of Clinical Toxicology and Poison Control Centre Munich, Department of Internal Medicine II, School of Medicine, Technical University of Munich, Munich, Germany.
Armin OttStaburo GmbH, Munich, Germany.
Tobias ZellnerDivision of Clinical Toxicology and Poison Control Centre Munich, Department of Internal Medicine II, School of Medicine, Technical University of Munich, Munich, Germany.ORCID 0000-0001-5073-8685
Michael RentropClinic and Polyclinic for Psychiatry and Psychotherapy, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.ORCID 0000-0002-6429-6344
Florian EyerDivision of Clinical Toxicology and Poison Control Centre Munich, Department of Internal Medicine II, School of Medicine, Technical University of Munich, Munich, Germany.ORCID 0000-0002-4753-2747
Technical University of Munich · DEAsklepios Fachkliniken München-Gauting · DETUM Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prediction of clinical course of intoxication is essential for timely initiation of appropriate medical treatment in patients hospitalized due to suicidal self-poisoning. In this retrospective single-centre study in patients hospitalized due to suicidal poisoning in a specialized clinical toxicology unit, we aimed to identify predictive factors associated with severe or fatal course of self-poisoning. All patients underwent at least one psychiatric exploration during their inpatient stay. Severity of poisoning was assessed on admission and after 24 hours according to the Poison Severity Score index (PSS). Spearman's rank correlation coefficient was used to test the association of PSS with sociodemographic, anamnestic and (pre-)clinical parameters. Multivariable binomial logistic regression analysis was performed to determine predictive factors for severe and/or fatal self-poisoning. 1090 patients were included in the study. Median age was 39 years (range 13-91), 66.7% of patients were female. PSS was classified in the majority as "minor" (n = 558, 51.2%) or "moderate" (n = 264, 24.2%). 61 patients (5.6%) had PSS "severe"; 14 patients (1.3%) died. A higher severity of poisoning positively correlated with duration of inpatient therapy (p<0.001, Spearman's rho = 0.454) and duration of ventilation (p<0.001, rho = 0.474), and it inversely correlated with initial Glasgow Coma Scale (GCS) score (p<0.001, rho = -0.437). Multivariable analysis identified no alcohol co-ingestion (OR 3.23; 95%CI 1.3, 8.07; p = 0.012) and self-poisoning with non-medicinal substances (OR 5.4; 95%CI 1.78, 16.34; p = 0.003) as factors predictive for "severe" or "fatal" suicide outcome. In contrast, female gender (OR 0.4; 95%CI 0.2, 0.81; p = 0.011), not using an antidepressant as the method for self-poisoning (OR 0.27; 95%CI 0.12, 0.59; p = 0.001) and a higher initial GCS score (OR 0.79; 95%CI 0.73, 0.85; p<0.001) reduced the risk of a severe or fatal course of self-poisoning. The conclusion for clinical practice is that male patients hospitalized due to self-poisoning, with a low initial GCS score, who did not co-ingest alcohol, attempted suicide with non-pharmaceutical substances or antidepressants are at a higher risk of severe/fatal outcome of suicide. Determination of these risk factors at admission could be potentially used to guide treatment intensification in patients hospitalized due to deliberate self-poisoning.

Indexed as

PoisoningSuicide, CompletedAdolescentAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesSuicidal IdeationSuicide, AttemptedYoung Adult

Identifiers

PMID36327226
PMCPMC9632874
OpenAlexW4308101970

What OpenQuestion holds

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LicenceCC BY
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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.