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    This summary is machine-generated.

    This review summarizes simulation models used in bladder cancer research, finding varied approaches but inconsistent reporting. Improved reporting is crucial for practical application of these valuable tools.

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    Area of Science:

    • Oncology
    • Health Informatics
    • Biostatistics

    Background:

    • Simulation models are increasingly used in Bladder Cancer (BCA) research.
    • These models address diverse aspects of BCA, from carcinogenesis to treatment cost-effectiveness.
    • A systematic review is needed to map the landscape of existing BCA simulation models.

    Purpose of the Study:

    • To identify and summarize simulation models used in Bladder Cancer (BCA) research.
    • To classify models based on their objectives, methodology, and data sources.
    • To evaluate the reporting quality and practical utility of BCA simulation models.

    Main Methods:

    • Systematic literature search of Medline, Web of Science, and Google Scholar.
    • Adherence to PRISMA guidelines for scoping reviews.
    • Extraction and summarization of model methodology, data sources, software, objectives, and conclusions.

    Main Results:

    • Identified 97 modeling studies simulating Bladder Cancer (BCA).
    • Models included those describing carcinogenesis, impact of screening, and cost-effectiveness of treatments.
    • Significant variation in study scope, objectives, and conclusions was observed, with inconsistent and incomplete reporting.

    Conclusions:

    • Simulation models in Bladder Cancer (BCA) research cover a wide range of applications.
    • Inconsistent and incomplete reporting of model development, validation, and analysis hinders practical usefulness.
    • Future research should focus on improving reporting standards and assessing BCA screening and surveillance strategies.