A parallel microsimulation package for modelling cancer screening policies

Karlsson, Andréas; Olofsson, Niten; Laure, Erwin; Clements, Mark

doi:10.1109/escience.2016.7870915

Cited by 7 publications

(4 citation statements)

References 18 publications

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“…microsimulation model [16,17]. The microsimulation model combined a natural history model with the test characteristics and screening interventions.…”

Section: Plos Onementioning

confidence: 99%

The cost-effectiveness of prostate cancer screening using the Stockholm3 test

et al. 2021

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Objectives The European Randomized Study of Screening for Prostate Cancer found that prostate-specific antigen (PSA) screening reduced prostate cancer mortality, however the costs and harms from screening may outweigh any mortality reduction. Compared with screening using the PSA test alone, using the Stockholm3 Model (S3M) as a reflex test for PSA ≥ 1 ng/mL has the same sensitivity for Gleason score ≥ 7 cancers while the relative positive fractions for Gleason score 6 cancers and no cancer were 0.83 and 0.56, respectively. The cost-effectiveness of the S3M test has not previously been assessed. Methods We undertook a cost-effectiveness analysis from a lifetime societal perspective. Using a microsimulation model, we simulated for: (i) no prostate cancer screening; (ii) screening using the PSA test; and (iii) screening using the S3M test as a reflex test for PSA values ≥ 1, 1.5 and 2 ng/mL. Screening strategies included quadrennial re-testing for ages 55–69 years performed by a general practitioner. Discounted costs, quality-adjusted life-years (QALYs) and incremental cost-effectiveness ratios (ICERs) were calculated. Results Comparing S3M with a reflex threshold of 2 ng/mL with screening using the PSA test, S3M had increased effectiveness, reduced lifetime biopsies by 30%, and increased societal costs by 0.4%. Relative to the PSA test, the S3M reflex thresholds of 1, 1.5 and 2 ng/mL had ICERs of 170,000, 60,000 and 6,000 EUR/QALY, respectively. The S3M test was more cost-effective at higher biopsy costs. Conclusions Prostate cancer screening using the S3M test for men with an initial PSA ≥ 2.0 ng/mL was cost-effective compared with screening using the PSA test alone.

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“…microsimulation model [16,17]. The microsimulation model combined a natural history model with the test characteristics and screening interventions.…”

Section: Plos Onementioning

confidence: 99%

The cost-effectiveness of prostate cancer screening using the Stockholm3 test

et al. 2021

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“…The eCPC team developed an open-source microsimulation framework to simulate prostate cancer screening that closely links the R statistical language with a C++ microsimulation core used on high-performance computing clusters. 17 The simulation framework implements the prostate cancer simulation model originally developed by FHCRC. We extended the FHCRC model to incorporate S3M together with costs and quality-adjusted utilities for cost-effectiveness analysis.…”

Section: Personalized Cancer Screeningmentioning

confidence: 99%

“…Participants have responded to web-based questionnaires, donated blood, and given permission for storage of full-field digital mammograms. eCPC also works with the Linné-Bröst 1 (LIBRO-1) study, 21 a large cohort of breast cancer patients in the Stockholm-Gotland region who were diagnosed with breast cancer between 2001 and 2008, and CAHRES, 17 a population-based case-control study of post-menopausal breast cancer, with 6000 cases and controls, of which half have been included in molecular studies.…”

Section: Breast Cancermentioning

confidence: 99%

E-Science technologies in a workflow for personalized medicine using cancer screening as a case study

Spjuth

Karlsson

Clements

et al. 2017

Journal of the American Medical Informatics Association

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E-Science tools are a key part of an evidence-based process for personalized medicine. This paper provides a structured workflow from data and models to evaluation of new personalized intervention strategies. The importance of multidisciplinary collaboration is emphasized. Importantly, the generic concepts of the suggested eCPC workflow are transferrable to other disease domains, although each disease will require tailored solutions.

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“…A self-developed agent-based simulation framework (En-erPol) was used. The developed framework and model are not open-source.health impacts of increasing cigarette excise taxes and raising the legal smoking age to21 in the United States. Health Policy, 80(3):378-391, 2007.…”

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confidence: 99%

Simulation Framework for Realistic Large-scale Individual-level Data Generation with an Application in the Health Domain

Tikka¹,

Hakanen²,

Saarela³

et al. 2020

Preprint

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We propose a general framework for realistic data generation and simulation of complex systems in the health domain. The main use cases of the framework are predicting the development of risk factors and disease occurrence, evaluating the impact of interventions and policy decisions, and statistical method development. We present the fundamentals of the framework using rigorous mathematical definitions. The framework supports calibration to a real population as well as various manipulations and data collection processes. The freely available open-source implementation in R embraces efficient data structures, parallel computing and fast random number generation which ensure reproducibility and scalability. With the framework it is possible to run daily-level simulations for populations of millions individuals for decades of simulated time. An example on the occurrence of stroke, type 2 diabetes and mortality illustrates the usage of the framework in the Finnish context. In the example, we demonstrate the data-collection functionality by studying the impact of non-participation on the estimated risk models.

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A parallel microsimulation package for modelling cancer screening policies

Cited by 7 publications

References 18 publications

The cost-effectiveness of prostate cancer screening using the Stockholm3 test

The cost-effectiveness of prostate cancer screening using the Stockholm3 test

E-Science technologies in a workflow for personalized medicine using cancer screening as a case study

Simulation Framework for Realistic Large-scale Individual-level Data Generation with an Application in the Health Domain

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