Evidence map›Paper›PMID 34182960›Full record

ArticleBMC public health2021

SARS-Co-V2 infection in never, former, and current tobacco/nicotine users: a cohort study of 4040 Egyptian healthcare workers.

Aya Mostafa, Manal H El-Sayed, Mahmoud El-Meteini, Ayman Saleh, Ashraf Omar, Ossama Mansour, Samia Girgis, Hala Hafez, Sahar Kandil

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

9 authors at 1 institution in 1 country.

Aya MostafaDepartment of Community, Environmental, and Occupational Medicine, Faculty of Medicine, Ain Shams University, 38 Ramses st., Abbassia square, PO-box 11566, Cairo, Egypt. aya.kamaleldin@med.asu.edu.eg.ORCID 0000-0002-2803-2608
Manal H El-SayedDepartment of Pediatrics, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Mahmoud El-MeteiniDepartment of Hepatobiliary Surgery & Liver Transplantation, Ain Shams Center for Organ Transplantation (ASCOT), Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Ayman SalehDepartment of Cardiology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Ashraf OmarDepartment of General Surgery, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Ossama MansourDepartment of Otolaryngology, Head and Neck Surgery, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Samia GirgisDepartment of Clinical Pathology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Hala HafezDepartment of Clinical Pathology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Sahar KandilDepartment of Community, Environmental, and Occupational Medicine, Faculty of Medicine, Ain Shams University, 38 Ramses st., Abbassia square, PO-box 11566, Cairo, Egypt.
Ain Shams University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmoking negatively impacts COVID-19 severity and adverse outcomes. Evidence on whether smoking is associated with SARS-Co-V2 infection and having a positive test is scarce, particularly from low-and middle-income countries, where most of the world's billion smokers live. The inconsistency in relevant findings calls for study designs and analyses to account for possible confounders including background characteristics and pre-existing co-morbidities, to disentangle the specific effect of smoking. In healthcare workers (HCWs) the frequency of exposure to COVID-19 cases adds another layer of risk that was not factored in previous studies. We examined the association of HCWs' tobacco/nicotine use (never, former, and current use) with having a positive SARS-Co-V2 test result and symptoms suggestive of infection, accounting for demographics, exposures, and co-morbidities.

methodsA prospective cohort study of 4040 healthcare workers with baseline and follow-up screening took place during April-June 2020 in 12 healthcare facilities in Cairo, Egypt. Data on demographics, tobacco/nicotine use (manufactured or roll-your-own cigarettes, waterpipe tobacco, and electronic devices), co-morbidities, symptoms, exposures, and SARS-Co-V2 investigations were analyzed. Multinomial and multivariable logistic regression analyses were performed.

resultsOverall, 270/4040 (6.7, 95%CI: 5.9-7.5) had positive SARS-CoV-2 tests, 479 (11.9%) were current and 79 (2.0%) were former tobacco/nicotine users. The proportion of positive tests was 7.0% (243/3482, 95%CI: 6.1-7.8) among never, 5.1% (4/79, 95%CI: 0.1-10.0) among former, and 4.8% (23/479, 95%CI: 2.9-6.7) among current users. HCWs' SARS-CoV-2 test results did not vary significantly by single/multiple or daily/non-daily tobacco/nicotine use. Compared to never users, former users were more likely to self-report a pre-existing medical condition (OR

conclusionsThis is the first report on this association from low- and middle-income countries with high tobacco/nicotine use prevalence. In this HCW cohort, having a positive SARS-CoV-2 test was not associated with tobacco/nicotine use after accounting for demographics, exposures, and co-morbidities. Additional population-based studies could use such preliminary evidence to investigate this controversial association.

Indexed as

COVID-19NicotineCohort StudiesEgyptHealth PersonnelHumansNicotianaProspective StudiesSARS-CoV-2SmokingNicotineCohortCOVID-19EgyptHealthcare workersNicotineSARS-co-V2SmokingTobacco

Identifiers

PMID34182960
PMCPMC8238378
OpenAlexW3175816341

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.