ReviewJCO clinical cancer informatics2018
Microsimulation Modeling in Oncology.
Review in JCO clinical cancer informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Economic evaluations of colorectal cancer screening: A systematic review and quality assessment.Clinics (Sao Paulo, Brazil) · 2023Pooled it
- Article
- Model-Based Economic Analyses of Haemophilia from a Societal Perspective: A Scoping Review.PharmacoEconomics - open · 2026Review
- From mechanistic models to artificial intelligence: exploring the potential of digital twins in geriatric oncology.Frontiers in artificial intelligence · 2026Article
- Evaluating Semi-Markov Processes and Other Epidemiological Time-to-Event Models by Computing Disease Sojourn Density as Partial Differential Equations.Medical decision making : an international journal of the Society for Medical Decision Making · 2025Article
- Synthesis estimators for transportability with positivity violations by a continuous covariate.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2025Article
- Clinical performance and utility: A microsimulation model to inform the design of screening trials for a multi-cancer early detection test.Journal of medical screening · 2024Article
- Evolution of digital twins in precision health applications: a scoping review study.Research square · 2024Article
- Engaging stakeholders in the use of an interactive simulation tool to support decision-making about the implementation of colorectal cancer screening interventions.Cancer causes & control : CCC · 2023Article
- Extending analytic methods for economic evaluation in implementation science.Implementation science : IS · 2022Article
- Estimating the future cancer management costs attributable to modifiable risk factors in Canada.Canadian journal of public health = Revue canadienne de sante publique · 2021Article
- Bayesian versus Empirical Calibration of Microsimulation Models: A Comparative Analysis.Medical decision making : an international journal of the Society for Medical Decision Making · 2021Article
- The EU-TOPIA evaluation tool: An online modelling-based tool for informing breast, cervical, and colorectal cancer screening decisions in Europe.Preventive medicine reports · 2021Article
- Cost-effectiveness of laparoscopic disease assessment in patients with newly diagnosed advanced ovarian cancer.Gynecologic oncology · 2021Article
- Modeling the mean time to interval cancer after negative results of periodic cancer screening.Statistics in medicine · 2021Article
- The comparative effectiveness of mpMRI and MRI-guided biopsy vs regular biopsy in a population-based PSA testing: a modeling study.Scientific reports · 2021Article
- Projecting the prevalence of obesity in South Korea through 2040: a microsimulation modelling approach.BMJ open · 2020Article
- Mailed FIT (fecal immunochemical test), navigation or patient reminders? Using microsimulation to inform selection of interventions to increase colorectal cancer screening in Medicaid enrollees.Preventive medicine · 2019Article
- Simulation Modeling of Oral Cancer Development with Risk Stratification: How Potential Screening Programs Can Be Evaluated.MDM policy & practiceArticle
- Development and Validation of Three Regional Microsimulation Models for Predicting Colorectal Cancer Screening Benefits in Europe.MDM policy & practiceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
purposeMicrosimulation is a modeling technique that uses a sample size of individual units (microunits), each with a unique set of attributes, and allows for the simulation of downstream events on the basis of predefined states and transition probabilities between those states over time. In this article, we describe the history of the role of microsimulation in medicine and its potential applications in oncology as useful tools for population risk stratification and treatment strategy design for precision medicine.
methodsWe conducted a comprehensive and methodical search of the literature using electronic databases-Medline, Embase, and Cochrane-for works published between 1985 and 2016. A medical subject heading search strategy was constructed for Medline searches by using a combination of relevant search terms, such as "microsimulation model medicine," "multistate modeling cancer," and "oncology."
resultsMicrosimulation modeling is particularly useful for the study of optimal intervention strategies when randomized control trials may not be feasible, ethical, or practical. Microsimulation models can retain memory of prior behaviors and states. As such, it allows an explicit representation and understanding of how various processes propagate over time and affect the final outcomes for an individual or in a population.
conclusionA well-calibrated microsimulation model can be used to predict the outcome of the event of interest for a new individual or subpopulations, assess the effectiveness and cost effectiveness of alternative interventions, and project the future disease burden of oncologic diseases. In the growing field of oncology research, a microsimulation model can serve as a valuable tool among the various facets of methodology available.
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Registered trials
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.