Evidence map›Paper›PMID 41278618›Full record

ArticlePreventive medicine reports2025

COVID-19 symptoms associated with smoking and vaping tobacco and cannabis: A cross-sectional analysis.

Sifon U Ndon, Andrew W Liu, Timothy J Judson, Pamela M Ling

Abstract read
In one paragraph

Article in Preventive medicine reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

4 authors.

Sifon U NdonDepartment of Otolaryngology-Head and Neck Surgery, University of California San Francisco, San Francisco, CA 94143, USA.
Andrew W LiuSchool of Medicine, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA.
Timothy J JudsonDepartment of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA.
Pamela M LingDepartment of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Characterize symptoms observed among people using nicotine and/or cannabis compared to non-users using an institutional respiratory illness symptom checker. Methods: Cross-sectional study (April 2020-August 2021) using University of California San Francisco (UCSF) COVID-19 & Flu Symptom Checker online self-triage tool measuring current tobacco and cannabis use, symptom prevalence and associations with self-reported severe dyspnea, using multivariable logistic regression. Results: Excluding those with emergent symptoms requiring immediate medical evaluation, of 10,904 patients, 729 (6.7%) self-reported current nicotine or cannabis use. People smoking and/or vaporizing nicotine or cannabis reported constitutional, ear/nose and throat, respiratory, and gastrointestinal symptoms more frequently than non-users. Current vaping (aOR = 1.89, 95% CI 1.23, 2.81) and co-use of nicotine/cannabis (aOR = 2.00, 95% CI 1.26, 3.09) were associated with higher odds of dyspnea, adjusting for comorbidities and demographic factors. Conclusion: People using nicotine or cannabis products had increased frequencies of self-reported COVID-19 symptoms and dyspnea. Current vaporizer use may not be associated with a difference in self-reported respiratory symptoms compared to smoking tobacco. Including tobacco and cannabis use in symptom checkers may enhance risk stratification and clinical decision-making during future respiratory virus outbreaks.

Indexed as

cannabisRespiratory tract infectionsRisk factorsSmokingSubstance-related disordersTobacco useVaping

Identifiers

PMID41278618
PMCPMC12639576

What Socratic holds

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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 Socratic graph.