Evidence map›Paper›PMID 37954490›Full record

ArticleTobacco induced diseases2023

Modeling the future of tobacco control: Using SimSmoke to explore the feasibility of the tobacco endgame in Korea.

Hana Kim, Susan Park, Heewon Kang, Naeun Kang, David T Levy, Sung-Il Cho

Erratum issuedAbstract read
In one paragraph

Article in Tobacco induced diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. An analysis of spatial and temporal uncertainty propagation in agent-based models.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Hana KimDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
Susan ParkInstitute of Health and Environment, Seoul National University, Seoul, Republic of Korea.
Heewon KangInstitute of Health and Environment, Seoul National University, Seoul, Republic of Korea.
Naeun KangDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
David T LevyLombardi Comprehensive Cancer Center, Georgetown University, Washington, United States.
Sung-Il ChoDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe used a simulation model to assess the feasibility of reaching the tobacco endgame target (reducing the smoking prevalence to below 5% by 2050) and explored potential implementation strategies.

methodsThe impact of strengthened tobacco-control policies on smoking prevalence was analyzed using Korea SimSmoke, a discrete-time Markov process. We considered the effects of various scenarios from 2023 and predictions were conducted until 2050. To confirm the stability of the results, deterministic and probabilistic sensitivity analyses were carried out by increasing and decreasing parameter estimates.

resultsThe implementation of tobacco-control policies in accordance with the WHO MPOWER (Μonitor tobacco use and prevention policies; Protect people from tobacco smoke; Offer help to quit tobacco smoking; Warn of the dangers of tobacco; Enforce bans on tobacco advertising, promotion, and sponsorship; Raise taxes on tobacco) measures were insufficient to achieve the tobacco endgame objective of 5% by 2050. The overall predicted smoking prevalence in 2050 is 4.7% if all policies are fully implemented in accordance with the FCTC guidelines together with a complete ban on the sale of cigarettes to people born after 2003 and annual 10% increases in price. Sensitivity analyses using the varying policy effect assumptions demonstrated the robustness of the simulation results.

conclusionsFor a substantive reduction in smoking prevalence, it is essential to strongly implement the MPOWER strategy. Beyond this foundational step, the eradication of smoking requires a paradigm shift in the perception of conventional tobacco-control policies, including a tobacco-free generation strategy and radical increases in the price of tobacco products.

Indexed as

endgameHP2030modellingMPOWERSimSmoke

Identifiers

PMID37954490
PMCPMC10632939

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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.