Evidence map›Paper›PMID 39086618›Full record

ArticleArchives of medical sciences. Atherosclerotic diseases2024

Unmasking the cannabis paradox: in-hospital outcomes of cannabis users admitted with acute myocardial infarction over a 20-year period in the United States.

Nomesh Kumar, Nitish Kumar Behary Paray, Kamleshun Ramphul, Renuka Verma, Jasninder Singh Dhaliwal, Camryn Schroeder, Lily Liu, Fnu Bawna, Hemamalini Sakthivel, Raheel Ahmed

Abstract read
In one paragraph

Article in Archives of medical sciences. Atherosclerotic diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Review
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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

10 authors.

Nomesh KumarDepartment of Internal Medicine, Detroit Medical Center-Wayne State University of Sinai Grace, Michigan, US.
Nitish Kumar Behary ParayRoyal Devon University Healthcare NHS Foundation Trust, Exeter, UK.
Kamleshun RamphulIndependent Researcher, Triolet, Mauritius.
Renuka VermaDepartment of Internal Medicine, Kirk Kerkorian School of Medicine at UNLV, Las Vegas, US.
Jasninder Singh DhaliwalDepartment of Internal Medicine, University of California, Riverside, US.
Camryn SchroederMedical Student at Kirk Kerkorian School of Medicine at UNLV, Las Vegas, US.
Lily LiuMedical Student at Kirk Kerkorian School of Medicine at UNLV, Las Vegas, US.
Fnu BawnaIndependent researcher, Farmington Hills, Michigan, US.
Hemamalini SakthivelOne Brooklyn Health System/Interfaith Medical Ctr Program, Brooklyn, NY, US.
Raheel AhmedRoyal Brompton Hospital, part of Guy's and St. Thomas' NHS Foundation Trust, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cannabis is increasingly becoming a socially acceptable substance, with multiple countries having legalised its consumption. Epidemiological studies have demonstrated an association between cannabis use and an increased risk of developing coronary artery disease. However, there is a lack of studies about the influence of cannabis consumption on the outcomes following acute myocardial infarction (AMI). Material and methods: We retrospectively analysed hospitalised patients with a primary diagnosis of AMI from the 2001 to 2020 National Inpatient Sample (NIS). Pearson's χ Results: A total of 9,930,007 AMI patients were studied, of whom 117,641 (1.2%) reported cannabis use. Cannabis users had lower odds of atrial fibrillation (aOR = 0.902, Conclusions: Among patients aged 18-80 years admitted to hospital with AMI between 2001 and 2020 in the United States, cannabis use was associated with lower risks of cardiogenic shock, acute ischaemic stroke, cardiac arrest, PCI use, and in-hospital mortality.

Indexed as

cannabismortalitymyocardial infarctionoutcomes

Identifiers

PMID39086618
PMCPMC11289235

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LicenceCC BY-NC-SA
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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.