Evidence map›Paper›PMID 23139643›Full record

ArticlePLoS medicine2012

The Brazil SimSmoke policy simulation model: the effect of strong tobacco control policies on smoking prevalence and smoking-attributable deaths in a middle income nation.

David Levy, Liz Maria de Almeida, Andre Szklo

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed, 1 pooled it
10.1field-weighted citation impact, top 1% of its field
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

93 citing papers in PubMed, 1 synthesis or guideline pooled it, 240 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. External validation of the parsimonious EuroLung risk models: analysis of the Brazilian Lung Cancer Registry.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2024
    Article
  10. Comparison of smoking prevalence in Canada before and after nicotine vaping product access using the SimSmoke model.Canadian journal of public health = Revue canadienne de sante publique · 2023
    Article
  11. Patterns of Birth Cohort‒Specific Smoking Histories in Brazil.American journal of preventive medicine · 2023
    Article
  12. Article
  13. The Rise of Gastrointestinal Cancers as a Global Phenomenon: Unhealthy Behavior or Progress?International journal of environmental research and public health · 2023
    Review
  14. Article
  15. Sex Differences in Cardiovascular Disease Mortality in Brazil between 1996 and 2019.International journal of environmental research and public health · 2022
    Article
  16. Article
  17. Colposcopic Findings and Diagnosis in Low-Income Brazilian Women with ASC-H pap Smear Results.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2022
    Article
  18. Article
  19. Review
  20. Article

33 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 2 countries.

David LevyPopulation Sciences, Department of Oncology, Georgetown University, Washington DC, USA. dl777@georgetown.edu
Liz Maria de Almeida
Andre Szklo
Instituto Nacional do Câncer · BRGeorgetown University · US

Funding

A Simulation of Tobacco Policy, Smoking and Lung CancerU01CA097450 · NCI · PACIFIC INSTITUTE FOR RES AND EVALUATION · PI LEVY, DAVID THEODORE · 2002 to 2009
$2.1M
NCI NIH HHS U01 CA097450NCI NIH HHS U01-CA97450-02
6 · The paper itself

Abstract

backgroundBrazil has reduced its smoking rate by about 50% in the last 20 y. During that time period, strong tobacco control policies were implemented. This paper estimates the effect of these stricter policies on smoking prevalence and associated premature mortality, and the effect that additional policies may have. METHODS AND

findingsThe model was developed using the SimSmoke tobacco control policy model. Using policy, population, and smoking data for Brazil, the model assesses the effect on premature deaths of cigarette taxes, smoke-free air laws, mass media campaigns, marketing restrictions, packaging requirements, cessation treatment programs, and youth access restrictions. We estimate the effect of past policies relative to a counterfactual of policies kept to 1989 levels, and the effect of stricter future policies. Male and female smoking prevalence in Brazil have fallen by about half since 1989, which represents a 46% (lower and upper bounds: 28%-66%) relative reduction compared to the 2010 prevalence under the counterfactual scenario of policies held to 1989 levels. Almost half of that 46% reduction is explained by price increases, 14% by smoke-free air laws, 14% by marketing restrictions, 8% by health warnings, 6% by mass media campaigns, and 10% by cessation treatment programs. As a result of the past policies, a total of almost 420,000 (260,000-715,000) deaths had been averted by 2010, increasing to almost 7 million (4.5 million-10.3 million) deaths projected by 2050. Comparing future implementation of a set of stricter policies to a scenario with 2010 policies held constant, smoking prevalence by 2050 could be reduced by another 39% (29%-54%), and 1.3 million (0.9 million-2.0 million) out of 9 million future premature deaths could be averted.

conclusionsBrazil provides one of the outstanding public health success stories in reducing deaths due to smoking, and serves as a model for other low and middle income nations. However, a set of stricter policies could further reduce smoking and save many additional lives. Please see later in the article for the Editors' Summary.

Indexed as

Mortality, PrematureAdolescentAdultAgedBrazilComputer SimulationFemaleGovernment RegulationHealth PolicyHumansMaleMiddle AgedModels, TheoreticalPrevalenceSeasonsSmoking

Identifiers

PMID23139643
PMCPMC3491001
OpenAlexW2019968268

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.