Evidence map›Paper›PMID 42919933›Full record

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.

Yusuff Adebayo Adebisi, Max Scherer, Nikola Pluym, Anas Ali Alhur, Venera Tomaselli, Riccardo Polosa

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In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Yusuff Adebayo AdebisiCollege of Social Sciences, University of Glasgow, 40 Bute Gardens, Glasgow, G12 8RT, Scotland, UK. y.adebisi.1@research.gla.ac.uk.
Max SchererABF Analytisch-Biologisches Forschungslabor GmbH, Semmelweisstr. 5, Planegg, 82152, Germany.
Nikola PluymABF Analytisch-Biologisches Forschungslabor GmbH, Semmelweisstr. 5, Planegg, 82152, Germany.
Anas Ali AlhurDepartment of Health Informatics, College of Public Health and Health Informatics, University of Hail, Hail, Saudi Arabia.
Venera TomaselliDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Riccardo PolosaDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

BiomarkersElectronic cigarettesElectronic nicotine delivery systemsMeta-analysisSystematic reviewVaping

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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.