Development of an Empirically Calibrated Model of Esophageal Squamous Cell Carcinoma in High-Risk Regions.

Objective. This study constructs, calibrates, and verifies a mathematical simulation model designed to project the natural history of ESCC and is intended to serve as a platform for testing the benefits and cost-effectiveness of primary and secondary ESCC prevention alternatives. Methods. The mathem...

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Publicado en:BioMed Research International pp. 1 - 10
Autores principales: Wang, Zhenhua, Zhang, Qiang, Wu, Bin
Formato: equations & formulas research tables/charts Journal Article
Publicado: Wiley-Blackwell 5/22/2019
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 5/22/2019
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        136575496
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        10.1155/2019/2741598
        136575496
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        atl: Development of an Empirically Calibrated Model of Esophageal Squamous Cell Carcinoma in High-Risk Regions.
      aug:
        au:
          Wang, Zhenhua
          Zhang, Qiang
          Wu, Bin
        affil: Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, State Key Laboratory for Oncogenes and Related Genes, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Institute of Digestive Disease, China
      sug:
        subj:
          Cancer Screening Economics
          Simulations
          Models, Theoretical
          Esophageal Neoplasms Risk Factors
          Carcinoma, Squamous Cell Risk Factors
          Esophageal Neoplasms Diagnosis
          Carcinoma, Squamous Cell Diagnosis
          Cost Benefit Analysis
          Human
          Esophageal Mucosa
          Precancerous Conditions
          China
          Disease Progression
          Incidence
          Prevalence
          Chinese Persons
          Retrospective Design
          Esophageal Neoplasms Prevention and Control
          Carcinoma, Squamous Cell Prevention and Control
          Calibration
      ab: Objective. This study constructs, calibrates, and verifies a mathematical simulation model designed to project the natural history of ESCC and is intended to serve as a platform for testing the benefits and cost-effectiveness of primary and secondary ESCC prevention alternatives. Methods. The mathematical model illustrates the natural history of ESCC as a sequence of transitions among health states, including the primary health states (e.g., normal mucosa, precancerous lesions, and undetected and detected cancer). Using established calibration approaches, the parameter sets related to progression rates between health states were optimized to lead the model outputs to match the observed data (specifically, the prevalence of precancerous lesions and incidence of ESCC from the published literature in Chinese high-risk regions). As illustrative examples of clinical and policy application, the calibrated and validated model retrospectively simulate the potential benefit of two reported ESCC screening programs. Results. Nearly 1,000 good-fitting parameter sets were identified from 1,000,000 simulated sets. Model outcomes had sufficient calibration fit to the calibration targets. Additionally, the verification analyses showed reasonable external consistency between the model-predicted effectiveness of ESCC screening and the reported data from clinical trials. Conclusions. This parameterized mathematical model offers a tool for future research investigating benefits, costs, and cost-effectiveness related to ESCC prevention and treatment.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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