Evidence map›Paper›PMID 22882882›Full record

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

Chapter 9: The MGH-HMS lung cancer policy model: tobacco control versus screening.

Pamela M McMahon, Chung Yin Kong, Bruce E Johnson, Milton C Weinstein, Jane C Weeks, Angela C Tramontano, Lauren E Cipriano, Colleen Bouzan, G Scott Gazelle

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 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

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

  1. Pooled it
  2. Article
  3. A Scoping Review on Calibration Methods for Cancer Simulation Models.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Article
  4. Projected Trends in the Incidence and Mortality of Uterine Cancer in the United States.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  5. Natural history models for lung Cancer: A scoping review.Lung cancer (Amsterdam, Netherlands) · 2025
    Article
  6. The Impact of Model Assumptions on Personalized Lung Cancer Screening Recommendations.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

9 authors.

Pamela M McMahonInstitute for Technology Assessment, Massachusetts General Hospital, 101 Merrimac Street, Boston, MA 02114, USA. pamela@mgh-ita.org
Chung Yin Kong
Bruce E Johnson
Milton C Weinstein
Jane C Weeks
Angela C Tramontano
Lauren E Cipriano
Colleen Bouzan
G Scott Gazelle

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 Lung Cancer Policy ModelR01CA097337 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI GAZELLE, G SCOTT · 2004 to 2006
$1.1M
Applications of Multi-Criteria Optimization (AMCO) to Cancer Simulation ModelingK25CA133141 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI KONG, CHUNG YIN · 2009 to 2013
$844k
Developing approaches for modeling genomic and proteomic profiles in lung cancerR00CA126147 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI MCMAHON, PAMELA MARKELL · 2009 to 2011
$718k
NCI NIH HHS K25 CA133141NCI NIH HHS R00 CA126147NCI NIH HHS R01 CA097337NCI NIH HHS R01 CA97337NCI NIH HHS U01 CA152956NCI NIH HHS U01CA152956
6 · The paper itself

Abstract

The natural history model underlying the MGH Lung Cancer Policy Model (LCPM) does not include the two-stage clonal expansion model employed in other CISNET lung models. We used the LCPM to predict numbers of U.S. lung cancer deaths for ages 30-84 between 1975 and 2000 under four scenarios as part of the comparative modeling analysis described in this issue. The LCPM is a comprehensive microsimulation model of lung cancer development, progression, detection, treatment, and survival. Individual-level patient histories are aggregated to estimate cohort or population-level outcomes. Lung cancer states are defined according to underlying disease variables, test results, and clinical events. By simulating detailed clinical procedures, the LCPM can predict benefits and harms attributable to a variety of patient management practices, including annual screening programs. Under the scenario of observed smoking patterns, predicted numbers of deaths from the calibrated LCPM were within 2% of observed over all years (1975-2000). The LCPM estimated that historical tobacco control policies achieved 28.6% (25.2% in men, 30.5% in women) of the potential reduction in U.S. lung cancer deaths had smoking had been eliminated entirely. The hypothetical adoption in 1975 of annual helical CT screening of all persons aged 55-74 with at least 30 pack-years of cigarette exposure to historical tobacco control would have yielded a proportion realized of 39.0% (42.0% in men, 33.3% in women). The adoption of annual screening would have prevented less than half as many lung cancer deaths as the elimination of cigarette smoking.

Indexed as

AdultAgedCalibrationCohort StudiesDisease ProgressionEarly Detection of CancerFemaleHealth PolicyHumansLung NeoplasmsMaleMassachusettsMiddle AgedModels, TheoreticalSEER ProgramSmoking

Identifiers

PMID22882882
PMCPMC3478757

What OpenQuestion holds

Textmetadata
LicenceTDM
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.