SynthesisBMC public health2025
Association between e-cigarette use and COVID-19 diagnosis: a systematic review and meta-analysis.
Synthesis in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- The triple-hit hypothesis: exploring pulmonary e-cigarette, PMEuropean respiratory review : an official journal of the European Respiratory Society · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
backgroundThe impact of e-cigarettes on COVID-19 remains unclear. This study aims to assess the relationship between e-cigarette use and COVID-19 diagnosis and other related outcomes.
methodsThis systematic review and meta-analysis searched studies from 2019 to April 2nd, 2024, in Medline (via OVID), EMBASE, Scopus and the Cochrane Central Register of Controlled Trials for eligible observational studies.
resultsAmong the initially identified 1116 items, a total of 20 studies met the inclusion criteria. The meta-analysis revealed that e-cigarette use was significantly associated with higher odds of COVID-19 diagnosis (N = 14, adjusted odds ratio, OR 1.25, 95% confidence interval, CI 1.07 to 1.47, I2 = 62%). This association was more pronounced among the youth (N = 4, adjusted OR 1.78, 95% CI 1.17 to 2.72, I2 = 75%) and current e-cigarette users (N = 14, adjusted OR 1.30, 95% CI 1.10 to 1.55, I2 = 55%). Though the association was not significant among cohort or case-control studies at first, the robust results were shown excluding low-quality studies (N = 3, adjusted OR 1.25, 95% CI 1.03 to 1.50, I2 = 0%). The results remained consistent in leave-one-out analyses. Drawing from the available but limited research, no significance was observed between e-cigarette use or other COVID-19 outcomes including severe COVID-19, COVID-19-related death, symptoms or hospital admission. Heterogeneity and risk of bias should be noticed when explaining our results.
conclusionsE-cigarette use was associated with an increased risk of COVID-19 diagnosis, particularly among youth and current users. Further high-quality evidence is needed to assess the overall health effects of e-cigarettes, with a particular focus on the youth and current users.
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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.