ArticleTobacco regulatory science2015
Markov Modeling to Estimate the Population Impact of Emerging Tobacco Products: A Proof-of-Concept Study.
Article in Tobacco regulatory science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled 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.
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
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association Between Initial Use of e-Cigarettes and Subsequent Cigarette Smoking Among Adolescents and Young Adults: A Systematic Review and Meta-analysis.JAMA pediatrics · 2017Pooled it
- Transitions in cigarette and ENDS use in the PATH Study: a multistate transition model analysis of adults in 2021-2022 compared to previous years.medRxiv : the preprint server for health sciences · 2025Article
- Changing patterns of cigarette and ENDS transitions in the USA: a multistate transition analysis of adults in the PATH Study in 2017-2019 vs 2019-2021.Tobacco control · 2025Article
- Improving Prediction of Tobacco Use Over Time: Findings from Waves 1-4 of the Population Assessment of Tobacco and Health Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024Article
- The smoking and vaping model, A user-friendly model for examining the country-specific impact of nicotine VAPING product use: application to Germany.BMC public health · 2023Article
- Changing patterns of cigarette and ENDS transitions in the USA: a multistate transition analysis of adults in the PATH Study in 2017-2019 vs 2019-2021.medRxiv : the preprint server for health sciences · 2023Article
- Associations of Demographics, Dependence, and Biomarkers With Transitions in Tobacco Product Use in a Cohort of Cigarette Users and Dual Users of Cigarettes and E-cigarettes.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023Article
- E-cigarettes and smoking cessation among adolescent smokers.Scientific reports · 2022Article
- The Impact of Current Tobacco Product Use Definitions on Estimates of Transitions Between Cigarette and ENDS Use.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022Article
- The Impact of Menthol Cigarette Flavor in the U.S.: Cigarette and ENDS Transitions by Sociodemographic Group.American journal of preventive medicine · 2022Article
- Public health implications of vaping in the USA: the smoking and vaping simulation model.Population health metrics · 2021Article
- Estimating the Population Health Impact of Recently Introduced Modified Risk Tobacco Products: A Comparison of Different Approaches.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021Review
- Transitions between cigarette, ENDS and dual use in adults in the PATH study (waves 1-4): multistate transition modelling accounting for complex survey design.Tobacco control · 2020Article
- Modeling Mitigation Strategies to Reduce Opioid-Related Morbidity and Mortality in the US.JAMA network open · 2020Article
- Overview of tobacco use transitions for population health.Tobacco control · 2020Article
- A modeling approach to gauging the effects of nicotine vaping product use on cessation from cigarettes: what do we know, what do we need to know?Addiction (Abingdon, England) · 2019Article
- Preventing Smoking Progression in Young Adults: the Concept of Prevescalation.Prevention science : the official journal of the Society for Prevention Research · 2019Article
- Transitions in electronic cigarette use among adults in the Population Assessment of Tobacco and Health (PATH) Study, Waves 1 and 2 (2013-2015).Tobacco control · 2019Article
- Risk Assessment for Tobacco Regulation.Tobacco regulatory science · 2019Article
- Transitions in Tobacco Product Use by U.S. Adults between 2013⁻2014 and 2014⁻2015: Findings from the PATH Study Wave 1 and Wave 2.International journal of environmental research and public health · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Objectives: To develop a modeling tool to assess the population impact of emerging tobacco products and demonstrate its utility. Methods: Discrete state Markov models were developed using TreeAge Pro 2014 to operationalize and estimate current cigarette and e-cigarette use patterns in the US population (including never and former use). State transition probabilities were calculated from a longitudinal survey of US young adults and adjusted using other nationally representative data. Results: Over 10 years, the adjusted base case model approximated national cigarette smoking and former use prevalence and predicted e-cigarette and dual use prevalence between 1% and 2%. Conclusions: This proof-of-concept study provides a heuristic tool to operationalize aspects of the US Food and Drug Administration's new public health standard regarding the impact of new tobacco products on use of existing products.
Indexed as
Identifiers
41018803PMC12462019What 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.