ReviewArchives of toxicology2026
Changes in human biomarkers of exposure after complete switching from cigarettes to e-cigarettes or exclusive e-cigarette use: a systematic review and biomarker-specific meta-analysis.
Review in Archives of toxicology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCombustible cigarette smoking remains a major preventable cause of premature mortality worldwide, and the public-health relevance of electronic cigarettes depends substantially on whether switching from cigarettes lowers exposure to toxicants associated with smoking-related disease. We systematically reviewed the human biomonitoring evidence and quantified changes in biomarkers of exposure after complete switching from cigarettes to e-cigarettes or exclusive e-cigarette use after cigarette smoking.
methodsPubMed, Scopus and Web of Science Core Collection were searched from inception to 28 May 2026 for human studies reporting biomarkers of exposure or potential harm in relation to e-cigarette use, dual use or switching. Study characteristics, biomarker data and a pragmatic risk-of-bias and funding assessment were extracted in duplicate. Meta-analysis was restricted to biomarkers of exposure with at least two compatible estimates for complete switching or exclusive e-cigarette use after cigarette smoking; dual-use evidence was synthesised narratively. Effects were expressed as ratios of means comparing post-switch with baseline or reference cigarette-smoking levels and pooled using random-effects models with restricted maximum likelihood estimation.
resultsSixty studies were included. Six publications, representing seven study-level sources, contributed 47 biomarker-specific effects across ten biomarkers. Complete switching or exclusive e-cigarette use after cigarette smoking was associated with lower levels of every pooled biomarker. Approximate reductions were 61% for NNAL, 92% for NNN, 72% for 3-HPMA, 84% for the acrylonitrile metabolite CEMA, 77% for HMPMA, 82% for MHBMA, 90% for S-PMA, 79% for exhaled carbon monoxide, 77% for carboxyhaemoglobin and 76% for 1-OHP. Between-study heterogeneity was substantial for most biomarkers (I² 57-99%), and 95% prediction intervals lay entirely below 1.0 only for NNN, CEMA and carboxyhaemoglobin; the pooled values are therefore central estimates rather than precise expectations for any individual future study. Narrative evidence was broadly consistent: exclusive e-cigarette use was generally associated with lower exposure than cigarette smoking, whereas reductions among dual users were smaller and depended on cigarette displacement. Biomarkers of potential harm were more heterogeneous and were not pooled. Many switching studies were short-term, product-specific and industry-funded.
conclusionsComplete switching from cigarettes to e-cigarettes or exclusive e-cigarette use after cigarette smoking is associated with substantially lower biomarkers of exposure to tobacco- and combustion-related toxicants. Exposure reductions appear greatest when cigarette smoking is fully displaced. These findings describe reduced exposure to measured toxicants; they do not, by themselves, establish reduced disease risk or long-term safety.
Indexed as
Identifiers
42919933What OpenQuestion holds
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.