Evidence map›Paper›PMID 26080365›Full record

ArticleTobacco control2016

Application of the Abridged SimSmoke model to four Eastern Mediterranean countries.

David T Levy, Heba Fouad, Jeffrey Levy, Anca D Dragomir, Fatima El Awa

Abstract read
In one paragraph

Article in Tobacco control, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. An analysis of spatial and temporal uncertainty propagation in agent-based models.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
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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

5 authors.

David T LevyLombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA.
Heba FouadWHO-EMRO, Cairo-Nasr City, Egypt, USA.
Jeffrey LevySilver Spring, Maryland, USA.
Anca D DragomirLombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA.
Fatima El AwaWHO-EMRO, Cairo-Nasr City, Egypt, USA.

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 CA097450World Health Organization 001
6 · The paper itself

Abstract

introductionThe WHO established the MPOWER policy package to boost the implementation of the WHO Framework Convention for Tobacco Control (WHO FCTC) in 2008 and to provide practical guidance on policies effective at reducing smoking rates. An easily applied Abridged SimSmoke was developed to help countries gauge the effect of these policies using data from the WHO MPOWER/WHO Report (MPOWER Report) and is applied to four Eastern Mediterranean countries.

methodsThe number of smokers in a country is calculated using the country's smoking prevalence and population. Policy effect sizes, based on previously validated SimSmoke models, are applied to the smoker populations to determine the reduction in the number of smokers resulting from implementing policies. The number of smoking-attributable deaths is derived based on findings that half of those smokers alive today will die from smoking.

resultsWithin 40 years, implementing the complete set of MPOWER policies is projected to reduce smoking prevalence by 29% (range 15%, 41%) and avert almost 1 (range 0.5, 1.4) million deaths in Egypt, reduce smoking prevalence by 52% (range 36%, 66%) and avert 156 000 (106 000, 196 000) deaths in Lebanon, reduce smoking prevalence by 56% (range 40%, 69%) and avert 3.5 (range 2.5, 4.3) million deaths in Pakistan, and reduce smoking prevalence by 37% (range 21%, 51%) and avert 245 000 (range 138 000, 334 000) deaths in Tunisia.

conclusionsThe Abridged SimSmoke model has been used to show the number of deaths from smoking and how MPOWER policies can be used to reach the WHO non-communicable deaths voluntary target for cigarette use reduction in four countries.

Indexed as

Health PolicyAdultAgedCause of DeathComputer SimulationFemaleForecastingHumansMaleMediterranean RegionMiddle AgedPrevalenceSmokingSmoking PreventionGlobal healthLow/Middle income countryPreventionPublic policy

Identifiers

PMID26080365
PMCPMC4681690

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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.