Cardiovascular health effects of vaping e-cigarettes: a systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: There is substantial interest in the cardiovascular effects of e-cigarette use, highlighting the need to update our knowledge on the subject. We conducted this review to analyse whether e-cigarette use increases cardiovascular health risks and how these risks vary among different populations. METHODS: We searched six databases and included peer-reviewed human, animal, cell/in vitro original studies but excluded qualitative studies, which were published between July 2021 and December 2023. Three types of e-cigarette exposure were examined: acute, short-to-medium term and long term. Different risk of bias tools were used for assessing the quality of the included human studies and we conducted meta-analysis when possible. RESULTS: We included 63 studies in the main analysis, 12 studies in the meta-analysis and 32 studies in the sociodemographic factor-based subgroup analysis. Over half of the human studies had low risk of bias. Acute exposure to e-cigarette was associated with increased heart rate (HR) (mean difference (MD) 11.329, p<0.01) and blood pressure (BP) (MD 12.856, p<0.01 for systolic; MD 7.676, p<0.01 for diastolic) compared with non-use. While HR was lower after acute exposure to e-cigarettes compared with cigarettes (MD -5.415, p<0.01), no significant difference in systolic or diastolic BP was observed. Non-smoker current vapers had no significant differences in resting HR and BP compared with non-users but lower resting HR (MD -2.608, p<0.01) and diastolic BP (MD -3.226, p<0.01) compared with non-vaper current smokers. Despite some association between e-cigarette and endothelial dysfunction, short-to-medium-term transition from cigarettes to e-cigarettes may improve blood flow and BP, particularly among females and younger individuals. There is lack of evidence supporting any association of e-cigarette use with cardiovascular diseases and cardiac dysfunction or remodelling. CONCLUSIONS: This review highlighted several important cardiovascular impacts of e-cigarette use compared with non-use and cigarette smoking. However, the evidence is still limited and requires future research. PROSPERO REGISTRATION NUMBER: CRD42023385632.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.016 | 0.006 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".