Evidence map›Paper›PMID 24550245›Full record

ArticleBMJ (Clinical research ed.)2014

The potential effects of tobacco control in China: projections from the China SimSmoke simulation model.

David Levy, Ricardo L Rodríguez-Buño, Teh-Wei Hu, Andrew E Moran

Abstract readComparative Study
In one paragraph

Article in BMJ (Clinical research ed.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
–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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  8. 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
  9. Article
  10. A call to ban the sale of tobacco products.Frontiers in public health · 2022
    Article
  11. Article
  12. US Nicotine Vaping ProductInternational journal of environmental research and public health · 2021
    Article
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  15. Review
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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

4 authors.

David LevyLombardi Comprehensive Cancer Center, Population Science, Department of Oncology, Georgetown University, Washington, DC 20007, USA.
Ricardo L Rodríguez-Buño
Teh-Wei Hu
Andrew E Moran

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
Tobacco Control Policy Analysis & Intervention Evaluation in China and TanzaniaR01TW009295 · FIC · PUBLIC HEALTH INSTITUTE · PI HU, TEH-WEI · 2012 to 2016
$1.3M
Forecasting the Cardiovascular Disease Epidemic in ChinaK08HL089675 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MORAN, ANDREW EDWARD · 2008 to 2012
$650k
FIC NIH HHS R01 TW009295NCI NIH HHS U01 CA152956NHLBI NIH HHS K08 HL089675
6 · The paper itself

Abstract

objectiveTo use a computer simulation model to project the potential impact in China of tobacco control measures on smoking, as recommended by the World Health Organization Framework Convention on Tobacco Control (FCTC), being fully implemented.

designModelling study.

settingChina. POPULATION: Males and females aged 15-74 years.

interventionIncremental impact of more complete implementation of WHO FCTC policies simulated using SimSmoke, a Markov computer simulation model of tobacco smoking prevalence, smoking attributable deaths, and the impact of tobacco control policies. Data on China's adult population, current and former smoking prevalence, initiation and cessation rates, and past policy levels were entered into SimSmoke in order to predict past smoking rates and to project future status quo rates. The model was validated by comparing predicted smoking prevalence with smoking prevalence measured in tobacco surveys from 1996-2010.

main outcome measuresProjected future smoking prevalence and smoking attributable deaths from 2013-50.

resultsStatus quo tobacco policy simulations projected a decline in smoking prevalence from 51.3% in 2015 to 46.5% by 2050 in males and from 2.1% to 1.3% in females. Of the individual FCTC recommended tobacco control policies, increasing the tobacco excise tax to 75% of the retail price was projected to be the most effective, incrementally reducing current smoking compared with the status quo by 12.9% by 2050. Complete and simultaneous implementation of all FCTC policies was projected to incrementally reduce smoking by about 40% relative to the 2050 status quo levels and to prevent approximately 12.8 million smoking attributable deaths and 154 million life years lost by 2050.

conclusionsComplete implementation of WHO FCTC recommended policies would prevent more than 12.8 million smoking attributable deaths in China by 2050. Implementation of FCTC policies would alleviate a substantial portion of the tobacco related health burden that threatens to slow China's extraordinary gains in life expectancy and prosperity.

Indexed as

Computer SimulationForecastingModels, TheoreticalSmoking PreventionAdolescentAdultAgedChinaFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsSmokingSmoking Cessation

Identifiers

PMID24550245
PMCPMC3928439

What OpenQuestion holds

Textmetadata
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.