Evidence map›Paper›PMID 33668011›Full record

Observational studyJMIR public health and surveillance2021

Association Between Smoking and SARS-CoV-2 Infection: Cross-sectional Study of the EPICOVID19 Internet-Based Survey.

Federica Prinelli, Fabrizio Bianchi, Gaspare Drago, Silvia Ruggieri, Aleksandra Sojic, Nithiya Jesuthasan, Sabrina Molinaro, Luca Bastiani, Stefania Maggi, Marianna Noale and 6 more

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in JMIR public health and surveillance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04471701 (Italian Web-based EPICOVID19 Cross-sectional Survey), which is not on this map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.9field-weighted citation impact, top 12% 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.

NCT04471701 completednot on this map

Italian Web-based EPICOVID19 Cross-sectional Survey

TypeobservationalSponsorInstitute of Biomedical Technologies-National Research Council, ItalyRan2020 to 2021Enrolled200,000ConditionsCovid19, SARS-CoV Infection, Survey, Family Life, Epidemic DiseaseArmsEnvironmental exposure and clinical features
3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 31 citations in OpenAlex.

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  9. Tobacco Smoking and Risk of SARS-CoV-2 Infection and Disease Severity Among Adults in an Integrated Healthcare System in California.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
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  15. Investigation of a COVID-19 outbreak on the Charles de Gaulle aircraft carrier, March to April 2020: a retrospective cohort study.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2022
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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

16 authors at 7 institutions in 2 countries.

Federica PrinelliInstitute of Biomedical Technologies, National Research Council, Segrate (MI), Italy.ORCID 0000-0002-9093-7643
Fabrizio BianchiInstitute of Clinical Physiology, National Research Council, Pisa, Italy.ORCID 0000-0002-3459-9301
Gaspare DragoInstitute for Biomedical Research and Innovation, National Research Council, Palermo, Italy.ORCID 0000-0001-8475-1001
Silvia RuggieriInstitute for Biomedical Research and Innovation, National Research Council, Palermo, Italy.ORCID 0000-0002-7657-6490
Aleksandra SojicInstitute of Biomedical Technologies, National Research Council, Segrate (MI), Italy.ORCID 0000-0003-2318-4511
Nithiya JesuthasanInstitute of Biomedical Technologies, National Research Council, Segrate (MI), Italy.ORCID 0000-0001-7286-7234
Sabrina MolinaroInstitute of Clinical Physiology, National Research Council, Pisa, Italy.ORCID 0000-0001-7221-0873
Luca BastianiInstitute of Clinical Physiology, National Research Council, Pisa, Italy.ORCID 0000-0003-3467-7362
Stefania MaggiInstitute of Neuroscience, National Research Council, Padova, Italy.ORCID 0000-0002-0453-8663
Marianna NoaleInstitute of Neuroscience, National Research Council, Padova, Italy.ORCID 0000-0001-7115-139X
Massimo GalliInfectious Diseases Unit, Department of Biomedical and Clinical Sciences L Sacco, University of Milan, Milano, Italy.ORCID 0000-0001-8887-6215
Andrea GiacomelliInfectious Diseases Unit, Department of Biomedical and Clinical Sciences L Sacco, University of Milan, Milano, Italy.ORCID 0000-0003-3685-4289
Raffaele Antonelli IncalziUnit of Geriatrics, Department of Medicine, Biomedical Campus of Rome, Roma, Italy.ORCID 0000-0003-2100-2075
Fulvio Adorni *Institute of Biomedical Technologies, National Research Council, Segrate (MI), Italy.ORCID 0000-0001-6264-6876
Fabio Cibella *Institute for Biomedical Research and Innovation, National Research Council, Palermo, Italy.ORCID 0000-0003-1674-2263
EPICOVID19 Working Groupsee Acknowledgments, Segrate (MI), Italy.
National Academies of Sciences, Engineering, and Medicine · USInstitute for Biomedical Research and Innovation · ITIstituto di Fisiologia Clinica · ITNational Research Council · ITUniversity of Milan · ITInstitute of Biomedical Technologies · ITUniversità Campus Bio-Medico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral studies have reported a low prevalence of current smoking among hospitalized COVID-19 cases; however, no definitive conclusions can be drawn.

objectiveWe investigated the association of tobacco smoke exposure with nasopharyngeal swab (NPS) test results for SARS-CoV-2 infection and disease severity accounting for possible confounders.

methodsThe nationwide, self-administered, cross-sectional web-based Italian National Epidemiological Survey on COVID-19 (EPICOVID19) was administered to an Italian population of 198,822 adult volunteers who filled in an online questionnaire between April 13 and June 2, 2020. For this study, we analyzed 6857 individuals with known NPS test results. The associations of smoking status and the dose-response relationship with a positive NPS test result and infection severity were calculated as odds ratios (ORs) with 95% CIs by means of logistic and multinomial regression models adjusting for sociodemographic, clinical, and behavioral characteristics.

resultsOut of the 6857 individuals (mean age 47.9 years, SD 14.1; 4516/6857, 65.9% female), 63.2% (4334/6857) had never smoked, 21.3% (1463/6857) were former smokers, and 15.5% (1060/6857) were current smokers. Compared to nonsmokers, current smokers were younger, were more educated, were less affected by chronic diseases, reported COVID-19-like symptoms less frequently, were less frequently hospitalized, and less frequently tested positive for COVID-19. In multivariate analysis, current smokers had almost half the odds of a positive NPS test result (OR 0.54, 95% CI 0.45-0.65) compared to nonsmokers. We also found a dose-dependent relationship with tobacco smoke: mild smokers (adjusted OR [aOR] 0.76, 95% CI 0.55-1.05), moderate smokers (aOR 0.56, 95% CI 0.42-0.73), and heavy smokers (aOR 0.38, 95% CI 0.27-0.53). This inverse association also persisted when considering the severity of the infection. Current smokers had a statistically significantly lower probability of having asymptomatic (aOR 0.50, 95% CI 0.27-0.92), mild (aOR 0.65, 95% CI 0.53-0.81), and severe infections (aOR 0.27, 95% CI 0.17-0.42) compared to those who never smoked.

conclusionsCurrent smoking was negatively associated with SARS-CoV-2 infection with a dose-dependent relationship. Ad hoc experimental studies are needed to elucidate the mechanisms underlying this association.

trial registrationClinicalTrials.gov NCT04471701; https://clinicaltrials.gov/ct2/show/NCT04471701.

Indexed as

AdultCOVID-19Cross-Sectional StudiesFemaleHumansInternetItalyMaleMiddle AgedSmokingSurveys and QuestionnairesCOVID-19cross-sectional designdose-response relationshipinfection severitynasopharyngeal swab testingSARS-CoV-2self-reportedsmoking habitweb-based survey

Identifiers

PMID33668011
PMCPMC8081027
OpenAlexW3133514240

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.