ArticleCureus2024
Evaluation of Dry Eye Parameters Among Electronic Cigarette Smokers.
Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
2 citing papers in PubMed.
- The prevalence and association between electronic cigarette use and dry eye symptom severity among Palestinian university students: a cross-sectional study.BMC ophthalmology · 2026Article
- E-cigarette flavoring chemicals and vehicles adversely impact the functions of pigmented human retinal ARPE-19 cells.Toxicology reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction The emergence of electronic cigarettes as the "healthier" version of smoking has been popular, especially among young adults. However, knowledge about the potential effects of e-cigarettes on ocular structures is scarce. Objective To compare the mean change in dry eye parameters between e-cigarette smokers and non-smokers and to correlate between dry eye parameters with device power output. Methodology A cross-sectional, single-visit study was conducted involving 85 e-cigarette smokers and 85 non-smokers. All participants were evaluated on dry eye parameters, including the Ocular Surface Disease Index (OSDI) score, tear meniscus height (TMH), tear break-up time (TBUT), cornea fluorescein staining, and Schirmer's I test. The mean change in dry eye parameters was compared between e-cigarette smokers and non-smokers. The correlation between dry eye parameters with device power output was analyzed. Results Specifically, 32.94% of e-cigarette smokers were found to have a TMH <0.2 mm, compared to only 5.88% of non-smokers (p<0.001). A significant change in mean TBUT was found between the e-cigarette smokers (10.41+2.65 seconds) and non-smokers (12.66+3.14 seconds, p<0.001). The lower mean Schirmer's I test was found among e-cigarette smokers (12.75+7.24 mm, p<0.001). No significant change in the median OSDI score and corneal fluorescein staining. The OSDI score and device power output were found to have a significant positive correlation (p=0.003). There was a significant association between dry eye signs and device power output, including TMH (p=0.047), TBUT (p=0.002), Schirmer's I test (p<0.001), and corneal fluorescein staining (p<0.001). Conclusion Electronic cigarette smokers are prone to develop dry eyes. Concern should be raised on the risk of electronic cigarette use on ocular health, and regulation on e-cigarette ban should be revisited.
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Registered trials
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