||1R01CA092653-01A1 Interpret this number
||Vanderbilt University Med Ctr
||Simulation Modeling of Colorectal Cancer
DESCRIPTION: The goals of this research are to build a new and more powerful
discrete-event simulation model based on an existing, validated computer model
of the natural history of colorectal neoplasia and use the new model to
address questions concerning the clinical outcomes, cost, effectiveness, cost-
effectiveness, and resource utilization of various colorectal cancer (CRC)
control strategies for patients and for complex and dynamic populations.
These goal will be achieved through the translation of an existing model into
C++, an object-oriented programming language that would improve the model's
ease of modification, decrease the time needed to complete an analysis, and
allow direct interaction between the model and other commonly available
programming applications. The new model will be programmed to allow the
simulation of populations whose individual members are characterized by
multiple and interacting cancer risk factors, have varying degrees of
adherence with established cancer control protocols, and receive their care in
settings where the resources needed to provide cancer control interventions
are limited. The parameterization of this model will be based on a rigorous
review of the literature and the model will be validated by several methods,
including existing cancer control outcome data. After completion of its
programming, parameterization and validation, the applicant will demonstrate
the power and versatility of this new computer model by employing it in
various complex analyses concerning the expected outcome over time of
implementing new cancer control strategies in both the general U.S. population
and specific subpopulations representing relevant geopolitical and
payer/provider groupings. In addition, the applicant will examine the impact
of resource constraints (such as manpower) on the outcomes of proposed cancer
control strategies and the implications of disparities in such resources
across geopolitical boundaries and healthcare provider markets. The completed
model will be able to predict the outcomes of any given CRC control strategy,
among specific risk-defined patient subgroups, in any given population, during
and over any period of time. This model could serve as a template and
modeling paradigm for the examination of the cost-effectiveness of prevention
and treatment strategies for other cancers and for diseases other than cancer.
Automated Pupillometry Identifies Absence of Intracranial Pressure Elevation in Intracerebral Hemorrhage Patients.
, Sprügel M.I.
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, Borutta M.
, Kuramatsu J.B.
, Hoelter P.
, Engelhorn T.
, Schwab S.
, Koehn J.
Neurocritical care, 2021 Aug; 35(1), p. 210-220.