Evidence map›Paper›PMID 36833072›Full record

ArticleHealthcare (Basel, Switzerland)2023

Impact of Preexisting Alcohol Use Disorder, Bipolar Disorder, and Schizophrenia on Ischemic Stroke Risk and Severity: A Lebanese Case-Control Study.

Elise Maalouf, Souheil Hallit, Pascale Salameh, Hassan Hosseini

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
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 4 countries.

Elise MaaloufLife and Health Sciences Department, Paris-Est University, 94000 Créteil, France.
Souheil HallitSchool of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh P.O. Box 446, Lebanon.ORCID 0000-0001-6918-5689
Pascale SalamehSchool of Medicine, Lebanese American University, Byblos 5053, Lebanon.ORCID 0000-0002-4780-0772
Hassan HosseiniUPE-C, Faculté de Santé, Université Paris-Est Créteil, INSERM U955-E01, IMRB, 94000 Creteil, France.
Applied Science Private University · JOInserm · FRLebanese University · LBParis-Est Sup · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke remains a major leading cause of morbidity and death globally. For ischemic stroke, the most frequent type of stroke, there are numerous risk models and risk assessments offered. Further research into potential risk factors or triggers is being sought to improve stroke risk models. Schizophrenia, bipolar disorder, and alcohol use disorder are all common causes of serious mental illnesses in the general population. Due to the tangled relationship between stroke and many chronic illnesses, lifestyle factors, and diet that may be present in a patient with a mental disease, the relationship between mental diseases and stroke requires further validation. Consequently, the purpose of this study is to assess the potential influence of bipolar disorder, schizophrenia, and alcohol use disorder on stroke patients as compared to non-stroke participants, after controlling for demographic, physical, and medical conditions. We aimed, as a secondary objective, to evaluate the impact of these pre-existing disorders on stroke severity levels.

methodsThis research is a case-control survey study involving 113 Lebanese patients with a clinical diagnosis of ischemic stroke and 451 gender-matched volunteers without clinical signs of stroke as controls recruited from several hospitals in Lebanon (April 2020-April 2021). Based on the participant's consent, data was collected by filling out an anonymous paper-based questionnaire.

resultsAll of the odds ratios (ORs) generated by our regression model were greater than 1, indicating that the factors studied were associated with an increased risk of ischemic stroke. As such having schizophrenia (adjusted OR [aOR]: 6.162, 95% confidence interval [CI]: 1.136-33.423), bipolar disorder (aOR: 4.653, 95% CI: 1.214-17.834), alcohol use disorder (aOR: 3.918, 95% CI: 1.584-9.689), atrial fibrillation (aOR: 2.415, 95% CI: 1.235-4.721), diabetes (aOR: 1.865, 95% CI: 1.117-3.115), heart diseases (aOR: 9.890, 95% CI: 5.099-19.184), and asthma-COPD (aOR: 1.971, 95% CI: 1.190-3.263) were all involved with a high risk of developing an ischemic stroke. Moreover, obesity (aOR: 1.732, 95% CI: 1.049-2.861) and vigorous physical activity (aOR: 4.614, 95% CI: 2.669-7.978) were also linked to an increased risk of stroke. Moreover, our multinomial regression model revealed that the odds of moderate to severe/severe stroke were significantly higher in people with pre-stroke alcohol use disorder (aOR: 1.719, 95% CI: 1.385-2.133), bipolar disorder (aOR: 1.656, 95% CI: 1.281-2.141), and schizophrenia (aOR: 6.884, 95% CI: 3.294-11.492) compared to people who had never had a stroke.

conclusionThe findings in our study suggest that individuals with schizophrenia, bipolar disorder, and alcohol use disorder may be at a higher risk for ischemic stroke and exhibit more severe symptoms. We believe that the first step toward creating beneficial preventative and treatment interventions is determining individuals with schizophrenia, bipolar disorder, or alcohol use disorder, assessing their risk of ischemic stroke, developing more integrated treatments, and closely monitoring the long-term outcome in the event of an ischemic stroke.

Indexed as

alcohol use disordersbipolar disordersischemic strokeschizophreniastroke severity

Identifiers

PMID36833072
PMCPMC9957385
OpenAlexW4320497538

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.