Basic Model AttributesCancer site | Esophageal |
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Host institution | Erasmus University Medical Center / University of Washington |
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Purpose | The MISCAN/UW Esophagus adenocarcinoma (EAC) model is constructed for multiple purposes. First, we intend to gain better insight into the natural history of EAC, especially with regards to the process by which cancer develops from Barrett's Esophagus (BE). Secondly, the model will be used to identify the driving factors for the substantial increase in EAC incidence over the last several decades. The model will be able to inform investigators which factors could underlie plausible explanations for the period or birth cohort efforts observed in the BE and EAC increases. Finally, the model will be used in comparative effectiveness studies to calculate consequences of screening, surveillance and treatment strategies. |
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Contact | Amir Omidvari (a.omidvari@erasmusmc.nl) |
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Profile | cisnet_esophageal_erasmus_uw.pdf |
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The Microsimulation Screening Analysis of Esophageal Cancer (MISCAN-ESO) model was developed at Erasmus University and the University of Washington. It is a semi-Markov micro simulation model, as described below. The population is simulated individual by individual, and each person can evolve through discrete disease states (Figure 1). However, instead of modeling annual transitions with associated transition probabilities, the MISCAN-ESO model is semi-Markov in that it generates durations (called sojourn times) in distinct health states. We assume that esophageal adenocarcinoma (EAC) develops through precursor Barrett’s Esophagus (BE). For each individual in the simulated population, a personal risk index is generated. A minority of the population has symptomatic gastroesophageal reflux disease (GERD), giving them a higher risk of developing BE during their lifetime. The sequence from the onset of BE to EAC diagnosis is continued by sojourn times between the different states. BE starts in a phase without dysplasia (ND); after that, dysplasia can develop.
Two stages of dysplasia are defined: Low Grade (LGD) and High Grade Dysplasia (HGD). From HGD, malignant cells may arise and transform to preclinical localized EAC, which can sequentially progress into Regional and Distant preclinical EAC. However, there is also a possibility that regression from HGD to LGD and from LGD to ND will occur. In each of the three preclinical cancer stages, there is a probability of the cancer being diagnosed. The survival after clinical diagnosis depends on the cancer stage and the year of diagnosis (Figure 1).
Additional modules for modeling the characteristics of endoscopic ablation were inserted into the model. For endoscopic ablation, the outcome of the initial 2-year endoscopic treatment for each individual patient is randomly drawn when treatment starts. If treatment fails, the patient remains in endoscopic surveillance at an interval in accordance with their pre-ablative dysplastic grade. If treatment succeeds, the patient will experience complete eradication of dysplasia with persistent metaplasia (CE-D) or complete eradication of dysplasia and intestinal metaplasia (CE-IM) after 2 years. In the first case, we assume that the patient is in the BE non-dysplastic (ND) phase, having the same assumptions as our natural history model. In the latter case, the patient stays in the CE-IM state for sojourn time that is randomly selected from an exponential distribution (which assumes a constant rate for transition to the next state). If the patient experiences a transition to the next state (recurrence/progression), he/she will be reclassified immediately into the state of histological recurrence. A new life-history will be generated for this individual following recurrence with the model simulating surveillance according to the inputs after RFA. Surveillance can detect recurrent stages of BE, dysplasia and EAC. If the patient experiences recurrent stages of BE, a new endoscopic ablation sequence will be inserted, and the surveillance and treatment process will be repeated. This will generate a new life-history for the patient and he/she will be considered to have durations and probability of developing EAC that are based on the new life-history. After determining this new life-history, surveillance is inserted in the model according to the post-RFA surveillance intervals dictated by the common input parameters. A maximum of three touch-ups are allowed.
Tip: Hover your cursor over the dashed attribute links below for more information. View the details of this model in a grid with other esophageal models.
Detailed Package AttributesAttribute Category | Attribute |
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Approach | |
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Primary Purpose | Epidemiological analysis,
Population trends,
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Features | |
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Intervention | Treatment,
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Natural History | Recurrence,
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Construction | |
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Approach | Micro Simulation,
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Methods | Time to Event,
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Unit of Analysis | Person,
Population,
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Data Source | |
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Census | |
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Cancer Registry | SEER,
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Linked | |
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Clinical Trial | |
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Survey | |
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Meta Analysis | Observational Studies (Barrett's Esophagus (BE) progression rates, Gastroesophageal Reflux Disease (GERD) prevalence rates),
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Assumptions | |
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Benefit Factors | |
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Screening | Stage Shift,
Temporal Trends (Calender year, age, birth cohort),
Prevention,
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Treatment | Temporal Trends (Calendar year),
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Vaccination | |
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Inputs | Incidence,
Disease,
Stage Distribution,
Other Conditions (Gastroesophageal Reflux Disease (GERD)),
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Screening | Test Performance,
Effect,
Risk Adaptive Factors,
Incidental Finding Surveillance,
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Diagnosis | |
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Precancer | |
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Treatment | Efficacy,
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Precancer | |
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Survival | Relative,
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Mortality | Other cause,
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Risk Factor | Demography,
Natural History,
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Vaccination | |
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Outputs | Incidence,
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Disease | Stage Distribution,
Other Conditions (Barrett's Esophagus (BE)),
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Prevalence | Other Conditions (Barrett's Esophagus (BE)),
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Treatment | Effect,
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Precancer | |
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Screening | Effect,
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Risk Factor | Natural History,
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Outcomes | Survival,
Life years,
Cause-specific Mortality,
All-cause Mortality,
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Screening | False Positives,
True Positives,
False Negatives,
True Negatives,
Overdiagnoses,
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Treatment | |
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Implementation | |
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Development | |
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Tested Platforms | |
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Language | Delphi,
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2024
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Hahn AI, Mülder DT, Huang RJ, Zhou MJ, Blake B, Omofuma O, Murphy JD, Gutiérrez-Torres DS, Zauber AG, O'Mahony JF, et al., Global Progression Rates of Precursor Lesions for Gastric Cancer: A Systematic Review and Meta-Analysis., Clin Gastroenterol Hepatol, Oct. 1, 2024
[Abstract]
2022
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Rubenstein JH, Omidvari AH, Lauren BN, Hazelton WD, Lim F, Tan SX, Kong CY, Lee M, Ali A, Hur C, et al., Endoscopic Screening Program for Control of Esophageal Adenocarcinoma in Varied Populations: A Comparative Cost-Effectiveness Analysis., Gastroenterology, March 29, 2022
[Abstract]
2021
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Rubenstein JH, Evans RR, Burns JA, Arasim ME, Zhu J, Waljee AK, Harnessing Opportunities to Screen for Esophageal Adenocarcinoma Group., Patients With Adenocarcinoma of the Esophagus or Esophagogastric Junction Frequently Have Potential Screening Opportunities., Gastroenterology, Dec. 20, 2021
[Abstract]
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Omidvari AH, Lansdorp-Vogelaar I, de Koning HJ, Meester RGS, Impact of assumptions on future costs, disutility and mortality in cost-effectiveness analysis; a model exploration., PLoS One, July 12, 2021
[Abstract]
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Sami SS, Moriarty JP, Rosedahl JK, Borah BJ, Katzka DA, Wang KK, Kisiel JB, Ragunath K, Rubenstein JH, Iyer PG, Comparative Cost Effectiveness of Reflux-Based and Reflux-Independent Strategies for Barrett's Esophagus Screening., Am J Gastroenterol, June 9, 2021
[Abstract]
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Ozanne EM, Silver ER, Saini SD, Rubenstein JH, Lansdorp-Vogelaar I, Bowers N, Tan SX, Inadomi JM, Hur C, Surveillance Cessation for Barrett's Esophagus: A Survey of Gastroenterologists., Am J Gastroenterol, May 31, 2021
[Abstract]
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Omidvari AH, Hazelton WD, Lauren BN, Naber SK, Lee M, Ali A, Seguin C, Kong CY, Richmond E, Rubenstein JH, et al., The optimal age to stop endoscopic surveillance of Barrett's esophagus patients based on sex and comorbidity: a comparative cost-effectiveness analysis., Gastroenterology, May 8, 2021
[Abstract]
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Rubenstein JH, Inadomi JM, Cost-Effectiveness of Screening, Surveillance, and Endoscopic Eradication Therapies for Managing the Burden of Esophageal Adenocarcinoma., Gastrointest Endosc Clin N Am, Jan. 1, 2021
[Abstract]
2020
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Reddy CA, Tavakkoli A, Chen VL, Korsnes S, Bedi AO, Carrott PW, Chang AC, Lagisetty KH, Kwon RS, Elmunzer BJ, et al., Long-Term Quality of Life Following Endoscopic Therapy Compared to Esophagectomy for Neoplastic Barrett's Esophagus., Dig Dis Sci, June 9, 2020
[Abstract]
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Rubenstein JH, Tavakkoli A, Koeppe E, Ulintz P, Inadomi JM, Morgenstern H, Appelman H, Scheiman JM, Schoenfeld P, Metko V, et al., Family History of Colorectal or Esophageal Cancer in Barrett's Esophagus and Potentially Explanatory Genetic Variants., Clin Transl Gastroenterol, April 1, 2020
[Abstract]
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Kurlander JE, Rubenstein JH, Editorial: moving towards the appropriate use of proton pump inhibitors, Aliment Pharmacol Ther, Jan. 1, 2020
[Abstract]
2019
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Omidvari AH, Ali A, Hazelton WD, Kroep S, Lee M, Naber SK, Lauren BN, Ostvar S, Richmond E, Kong CY, Rubenstein JH, et al., Optimizing Management of Patients with Barrett's Esophagus and Low-grade or No Dysplasia Based On Comparative Modeling: Optimizing Barrett's esophagus management, Clin Gastroenterol Hepatol, Dec. 6, 2019
[Abstract]
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Petrick JL, Li N, Anderson LA, Bernstein L, Corley DA, El Serag HB, Hardikar S, Liao LM, Liu G, Murray LJ, Rubenstein JH, et al., Diabetes in relation to Barrett's esophagus and adenocarcinomas of the esophagus: A pooled study from the International Barrett's and Esophageal Adenocarcinoma Consortium, Cancer, Sept. 6, 2019
[Abstract]
2018
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Rubenstein JH, Morgenstern H, Longstreth K, Clustering of esophageal cancer among white men in the United States, Dis Esophagus, Aug. 30, 2018
[Abstract]
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Tavakkoli A, Appelman HD, Beer DG, Madiyal C, Khodadost M, Nofz K, Metko V, Elta G, Wang T, Rubenstein JH, Use of Appropriate Surveillance for Patients With Nondysplastic Barrett's Esophagus, Clin Gastroenterol Hepatol, June 1, 2018
[Abstract]
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Chu JN, Choi J, Tramontano A, Morse C, Forcione D, Nishioka NS, Abrams JA, Rubenstein JH, Kong CY, Inadomi JM, Hur C, et al., Surgical vs Endoscopic Management of T1 Esophageal Adenocarcinoma: A Modeling Decision Analysis, Clin Gastroenterol Hepatol, March 1, 2018
[Abstract]
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Rubenstein JH, Waljee AK, Dwamena B, Bergman J, Vieth M, Wani S, Yield of Higher-Grade Neoplasia in Barrett's Esophagus With Low-Grade Dysplasia Is Double in the First Year Following Diagnosis, Clin Gastroenterol Hepatol, Jan. 4, 2018
[Abstract]
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Richter JE, Rubenstein JH, Presentation and Epidemiology of Gastroesophageal Reflux Disease, Gastroenterology, Jan. 1, 2018
[Abstract]
2017
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Kroep S, Heberle CR, Curtius K, Kong CY, Lansdorp-Vogelaar I, Ali A, Wolf WA, Shaheen NJ, Spechler SJ, Rubenstein JH, Nishioka NS, et al., Radiofrequency Ablation of Barrett's Esophagus Reduces Esophageal Adenocarcinoma Incidence and Mortality in a Comparative Modeling Analysis, Clin Gastroenterol Hepatol, Sept. 1, 2017
[Abstract]
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Heberle CR, Omidvari AH, Ali A, Kroep S, Kong CY, Inadomi JM, Rubenstein JH, Tramontano AC, Dowling EC, Hazelton WD, Luebeck EG, et al., Cost Effectiveness of Screening Patients With Gastroesophageal Reflux Disease for Barrett's Esophagus With a Minimally Invasive Cell Sampling Device, Clin Gastroenterol Hepatol, Sept. 1, 2017
[Abstract]
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Tramontano AC, Sheehan DF, Yeh JM, Kong CY, Dowling EC, Rubenstein JH, Abrams JA, Inadomi JM, Schrag D, Hur C, The Impact of a Prior Diagnosis of Barrett's Esophagus on Esophageal Adenocarcinoma Survival, Am J Gastroenterol, Aug. 1, 2017
[Abstract]
2016
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Tavakkoli A, Prabhu A, Rubenstein JH, Predicting Lymph Node Metastases in Superficial Esophageal Adenocarcinoma, Gastroenterology, June 1, 2016
[Abstract]
2015
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Kroep S, Lansdorp-Vogelaar I, Rubenstein JH, de Koning HJ, Meester R, Inadomi JM, van Ballegooijen M, An Accurate Cancer Incidence in Barrett's Esophagus: A Best Estimate Using Published Data and Modeling, Gastroenterology, Sept. 1, 2015
[Abstract]
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Kroep S, Lansdorp-Vogelaar I, van der Steen A, Inadomi JM, van Ballegooijen M, The Impact of Uncertainty in Barrett's Esophagus Progression Rates on Hypothetical Screening and Treatment Decisions, Med Decis Making, Aug. 1, 2015
[Abstract]
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Hazelton WD, Curtius K, Inadomi JM, Vaughan TL, Meza R, Rubenstein JH, Hur C, Luebeck EG, The Role of Gastroesophageal Reflux and Other Factors during Progression to Esophageal Adenocarcinoma, Cancer Epidemiol Biomarkers Prev, July 1, 2015
[Abstract]
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Inadomi JM, Cost considerations in implementing a screening and surveillance strategy for Barrett's oesophagus, Best Pract Res Clin Gastroenterol, Feb. 1, 2015
[Abstract]
2014
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Kong CY, Kroep S, Curtius K, Hazelton WD, Jeon J, Meza R, Heberle CR, Miller MC, Choi SE, Lansdorp-Vogelaar I, van Ballegooijen M, et al., Exploring the recent trend in esophageal adenocarcinoma incidence and mortality using comparative simulation modeling, Cancer Epidemiol Biomarkers Prev, June 1, 2014
[Abstract]
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Kroep S, Lansdorp-Vogelaar I, Rubenstein JH, Lemmens VE, van Heijningen EB, Aragonés N, van Ballegooijen M, Inadomi JM, Comparing trends in esophageal adenocarcinoma incidence and lifestyle factors between the United States, Spain, and the Netherlands, Am J Gastroenterol, March 1, 2014
[Abstract]
2012
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Hur C, Choi SE, Rubenstein JH, Kong CY, Nishioka NS, Provenzale DT, Inadomi JM, The cost effectiveness of radiofrequency ablation for Barrett's esophagus, Gastroenterology, Sept. 1, 2012
[Abstract]