Evidence map›Paper›PMID 29445281›Full record

ArticleNeuropsychiatric disease and treatment2018

Suicidal drug overdose following stroke in elderly patients: a retrospective population-based cohort study.

Chun-Hung Chang, Shaw-Ji Chen, Chieh-Yu Liu, Hsin-Chi Tsai

Open access · goldAbstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

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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

4 citing papers in PubMed, 10 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

4 authors at 4 institutions in 2 countries.

Chun-Hung ChangBrain Disease Research Center, Department of Psychiatry, China Medical University Hospital, Taichung, Taiwan.
Shaw-Ji ChenDepartment of Psychiatry, Mackay Memorial Hospital Taitung Branch, Taitung, Taiwan.
Chieh-Yu LiuBiostatistical Consulting Lab, Institute of Nursing-Midwifery, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan.
Hsin-Chi TsaiDepartment of Psychiatry, Tzu-Chi General Hospital, Hualien, Taiwan.
China Medical University · TWMackay Memorial Hospital · TWNational Taipei University of Nursing and Health Science · TWTzu Chi University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study was to investigate the incidence and risk of suicidal drug overdose (SDO) after stroke in older patients.

methodsWe enrolled patients aged 60-99 years who were diagnosed with new-onset stroke between 2002 and 2013 and age-, sex-, and index-year-matched controls who did not have stroke. Patients with a history of SDO before enrollment were excluded. Both groups were observed until December 31, 2013. The primary end point was the occurrence of newly diagnosed SDO. The cumulative incidence rates of the study and control groups were estimated using the Kaplan-Meier method. Furthermore, we used the Cox proportional hazards model to identify risk factors for SDO.

resultsWe selected 22,770 individuals. Among them, 11,385 were older patients (aged 60-99 years) who had newly diagnosed stroke and 11,385 were controls. Of the 22,770 individuals, 275 (1.21%) had SDO during a mean follow-up period of 5.33±3.30 years, comprising 191 (1.68%) from the stroke group and 84 (0.74%) from the control group. Older patients with stroke had a significantly higher risk of SDO than the controls (adjusted hazard ratio: 2.288, 95% confidence interval [CI]: 1.746-2.999,

conclusionClinicians should be aware of the risk of SDO and risk factors in older patients with stroke. Psychological assessment and medication monitoring should be incorporated into current clinical diagnoses in neurology and treatments following stroke.

Indexed as

older peoplestrokesuicidal drug overdose

Identifiers

PMID29445281
PMCPMC5808687
OpenAlexW2793098763

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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.