Evidence map›Paper›PMID 22882895›Full record

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

Chapter 7: Description of MISCAN-lung, the Erasmus MC Lung Cancer microsimulation model for evaluating cancer control interventions.

F W Schultz, R Boer, H J de Koning

Open access · greenAbstract 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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  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
  2. Article
  3. 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
  4. 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
  5. Natural history models for lung Cancer: A scoping review.Lung cancer (Amsterdam, Netherlands) · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Chapter 13: CISNET lung models: comparison of model assumptions and model structures.Risk analysis : an official publication of the Society for Risk Analysis · 2012
    Article
  11. Chapter 6: Lung cancer in never smokers: epidemiology and risk prediction models.Risk analysis : an official publication of the Society for Risk Analysis · 2012
    Article
  12. Chapter 8: The FHCRC lung cancer model.Risk analysis : an official publication of the Society for Risk Analysis · 2012
    Article
  13. Chapter 4: Development of the counterfactual smoking histories used to assess the effects of tobacco control.Risk analysis : an official publication of the Society for Risk Analysis · 2012
    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

3 authors at 2 institutions in 1 country.

F W SchultzErasmus MC, Department of Public Health, Rotterdam, The Netherlands.
R Boer
H J de Koning
Erasmus University Rotterdam · NLErasmus MC · NL

Funding

SURVEILLANCE OF LUNG CANCER TRENDS IN THE US WITH MISCANU01CA097416 · NCI · RAND CORPORATION · PI DE KONING, HARRY J · 2002 to 2009
$1.9M
NCI NIH HHS 5U01CA097416NCI NIH HHS U01 CA097416
6 · The paper itself

Abstract

The MISCAN-lung model was designed to simulate population trends in lung cancer (LC) for comprehensive surveillance of the disease, to relate past exposure to risk factors to (observed) LC incidence and mortality, and to estimate the impact of cancer-control interventions. MISCAN-lung employs the technique of stochastic microsimulation of life histories affected by risk factors. It includes the two-stage clonal expansion model for carcinogenesis and a detailed LC progression model; the latter is specifically intended for the evaluation of screenings. This article elucidates further the principles of MISCAN-lung and describes its application to a comparative study within the CISNET Lung Working Group on the impact of tobacco control on U.S. LC mortality. MISCAN-lung yields an estimate of the number of LC deaths avoided during 1975-2000. The potential number of avoidable LC deaths, had everybody quit smoking in 1965, is 2.2 million; 750,000 deaths (30%) were avoided in the United States due to actual tobacco control interventions. The model fits in the actual tobacco-control scenario, providing credibility to the estimates of other scenarios, although considering survey-reported smoking trends alone has limitations.

Indexed as

AdolescentAdultAgedAged, 80 and overCohort StudiesComputer SimulationFemaleHumansLung NeoplasmsMaleMiddle AgedModels, StatisticalNetherlandsPublic HealthRisk FactorsSmoking

Identifiers

PMID22882895
PMCPMC3488877
OpenAlexW1500779993

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.