Evidence map›Paper›PMID 40795912›Full record

ArticleJournal of the National Cancer Institute. Monographs2025

SimSmoke simulation models distinguished by race/ethnicity: past and future trends and the potential role of policy.

David T Levy, James H Buszkiewicz, Zhe Yuan, Yameng Li, Rafael Meza, Nancy L Fleischer

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute. Monographs, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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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. Article
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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.

David T LevyLombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, United States.ORCID 0000-0001-5280-3612
James H BuszkiewiczDepartment of Epidemiology, University of Michigan, Ann Arbor, MI 48109, United States.ORCID 0000-0002-7919-7103
Zhe YuanLombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, United States.ORCID 0000-0001-6954-5808
Yameng LiLombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, United States.ORCID 0000-0001-5851-8652
Rafael MezaDepartment of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada.ORCID 0000-0002-3472-0730
Nancy L FleischerDepartment of Epidemiology, University of Michigan, Ann Arbor, MI 48109, United States.ORCID 0000-0002-4371-9133

Funding

Comparative Modeling of Lung Cancer Control PoliciesU01CA152956 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI DE KONING, HARRY J, KONG, CHUNG YIN · 2010 to 2014
$7.4M
The Impact of Tobacco Control Policies on Health Equity in the United States - MERIT ExtensionR37CA214787 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FLEISCHER, NANCY · 2018 to 2024
$4.2M
NCI NIH HHS R37 CA214787NCI NIH HHS U01 CA152956
6 · The paper itself

Abstract

introductionPolicy interventions to reduce racial/ethnic cigarette smoking and related health disparities are needed to improve health equity. Simulation models can be useful in gauging the impact of tobacco control policies on trends in smoking-related outcomes, but few have systematically analyzed the impact of tobacco control policies across racial/ethnic groups.

methodsWe developed 3 separate SimSmoke models for the non-Hispanic White (NHW), non-Hispanic Black (NHB), and Hispanic populations. Following a first-order Markov process, population projections evolve through net immigration and death rates, and smoking prevalence evolves through initiation, cessation, and relapse. The models incorporate policies implemented from 2011 to 2023 and are used to consider trends in NHW, NHB, and Hispanic smoking prevalence and smoking-attributable death and the impact of policies on those trends.

resultsThe models indicate major differences in smoking trends and smoking-attributable deaths (SADs) among NHW, NHB, and Hispanic adults, with NHB males experiencing the smallest smoking decline through 2023 and having the highest 2023 smoking prevalence. The models predict major differences in the impact of tobacco control policies, especially the greater effect of cigarette taxes on NHB and Hispanic adults than NHW adults and the reduced impact of T21 laws on NHB compared to NHW and Hispanic adults. DISCUSSION: The models predict large differences in levels and rates of decline in NHW, NHB, and Hispanic smoking prevalence, leading to widening health disparities between racial/ethnic groups. Further study is needed on differential race/ethnicity impacts of tobacco control policies and the role of cigars, e-cigarettes, and other product use.

Indexed as

EthnicityHealth PolicyRacial GroupsSmokingAdultComputer SimulationFemaleHealth Status DisparitiesHispanic or LatinoHumansMaleMiddle AgedPrevalenceSmoking CessationUnited StatesWhite

Identifiers

PMID40795912
PMCPMC12342921

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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.