Evidence map›Paper›PMID 29554469›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2018

Simulating the Impact of Risk-Based Screening and Treatment on Breast Cancer Outcomes with MISCAN-Fadia.

Jeroen J van den Broek, Nicolien T van Ravesteyn, Eveline A Heijnsdijk, Harry J de Koning

Abstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. Pooled it
  2. A Tutorial on Discrete Event Simulation Models Using a Cost-Effectiveness Analysis Example in R.Medical decision making : an international journal of the Society for Medical Decision Making · 2026
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  13. Risk of Breast Cancer Among Carriers of Pathogenic Variants in Breast Cancer Predisposition Genes Varies by Polygenic Risk Score.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2021
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  19. Cost-effectiveness Analysis of Breast Cancer Screening Using Mammography in Singapore: A Modeling Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    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

4 authors.

Jeroen J van den BroekDepartment of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands.
Nicolien T van RavesteynDepartment of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands.
Eveline A HeijnsdijkDepartment of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands.
Harry J de KoningDepartment of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands.

Funding

Comparative Modeling: Informing Breast Cancer Control Practice and PolicyU01CA199218 · NCI · GEORGETOWN UNIVERSITY · PI BERRY, DONALD A, DE KONING, HARRY J · 2015 to 2019
$9.0M
Comparative Modeling: Informing Breast Cancer Control Practice & PolicyU01CA152958 · NCI · GEORGETOWN UNIVERSITY · PI BERRY, DONALD A, DE KONING, HARRY J · 2010 to 2015
$7.6M
NCI NIH HHS U01 CA152958NCI NIH HHS U01 CA199218
6 · The paper itself

Abstract

The MISCAN-Fadia microsimulation model uses continuous tumor growth to simulate the natural history of breast cancer and has been used extensively to estimate the impact of screening and adjuvant treatment on breast cancer incidence and mortality trends. The model simulates individual life histories from birth to death, with and without breast cancer, in the presence and in the absence of screening and treatment. Life histories are simulated according to discrete events such as birth, tumor inception, the tumor's clinical diagnosis diameter in the absence of screening, and death from breast cancer or death from other causes. MISCAN-Fadia consists of 4 main components: demography, natural history of breast cancer, screening, and treatment. Screening impact on the natural history of breast cancer is assessed by simulating continuous tumor growth and the "fatal diameter" concept. This concept implies that tumors diagnosed at a size that is between the screen detection threshold and the fatal diameter are cured, while tumors diagnosed at a diameter larger than the fatal tumor diameter metastasize and lead to breast cancer death. MISCAN-Fadia has been extended by including a different natural history for molecular subtypes based on a tumor's estrogen receptor (ER) status and human epidermal growth factor receptor 2 (HER2) status. In addition, personalized screening strategies that target women based on their risk such as breast density have been incorporated into the model. This personalized approach to screening will continue to develop in light of potential polygenic risk stratification possibilities and new screening modalities.

Indexed as

Breast NeoplasmsDisease ProgressionModels, BiologicalChemotherapy, AdjuvantComputer SimulationFemaleGenes, erbB-2HumansMammographyNeoplasm StagingNetherlandsReceptors, EstrogenRisk AssessmentTreatment OutcomeReceptors, Estrogenbreast cancer epidemiologymicrosimulation modelrisk-based breast cancer screening

Identifiers

PMID29554469
PMCPMC5862065

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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.