Evidence map›Paper›PMID 22882892›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2012

Chapter 5: Actual and counterfactual smoking prevalence rates in the U.S. population via microsimulation.

Jihyoun Jeon, Rafael Meza, Martin Krapcho, Lauren D Clarke, Jeff Byrne, David T Levy

Abstract read
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

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

48 citing papers in PubMed.

  1. Lung cancer detectability by test, histology, stage, and gender: estimates from the NLST and the PLCO trials.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2015
    Trial
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  7. Efficacy and cost-effectiveness of lung cancer screening in France with low-dose computed tomography.European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) · 2026
    Article
  8. Article
  9. Modeling the Impact of Smoking on Mortality in Argentina From 2000 to 2100. A Maximum Potential Reduction in Premature Mortality Analysis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Article
  10. Article
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  13. Natural history models for lung Cancer: A scoping review.Lung cancer (Amsterdam, Netherlands) · 2025
    Article
  14. A Fast Nonparametric Sampling Method for Time to Event in Individual-Level Simulation Models.Medical decision making : an international journal of the Society for Medical Decision Making · 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

6 authors.

Jihyoun JeonProgram in Biostatistics and Biomathematics, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. jhjeon@fhcrc.org
Rafael Meza
Martin Krapcho
Lauren D Clarke
Jeff Byrne
David T Levy

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
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
Lung Cancer in the U.S.: Trends and PreventionU01CA097415 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MOOLGAVKAR, SURESH H · 2002 to 2009
$1.8M
NCI NIH HHS 5U01CA097415-04NCI NIH HHS 5U01CA097450-04NCI NIH HHS U01 CA097415NCI NIH HHS U01 CA097450NCI NIH HHS U01 CA152956
6 · The paper itself

Abstract

The smoking history generator (SHG) developed by the National Cancer Institute simulates individual life/smoking histories that serve as inputs for the Cancer Intervention and Surveillance Modeling Network (CISNET) lung cancer models. In this chapter, we review the SHG inputs, describe its outputs, and outline the methodology behind it. As an example, we use the SHG to simulate individual life histories for individuals born between 1890 and 1984 for each of the CISNET smoking scenarios and use those simulated histories to compute the corresponding smoking prevalence over the period 1975-2000.

Indexed as

AdolescentAdultAgedAged, 80 and overCohort StudiesComputer SimulationFemaleHumansLung NeoplasmsMaleMedical History TakingMiddle AgedProbabilitySmokingSmoking CessationSoftware

Identifiers

PMID22882892
PMCPMC3478148

What OpenQuestion holds

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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.