Modeling Personalized Adjuvant TreaTment in EaRly stage coloN cancer (PATTERN).

ABSTRACT: To develop a decision model for the population-level evaluation of strategies to improve the selection of stage II colon cancer (CC) patients who benefit from adjuvant chemotherapy. A Markov cohort model with a one-month cycle length and a lifelong time horizon was developed. Five health states were included; diagnosis, 90-day mortality, death other causes, recurrence and CC death. Data from the Netherlands Cancer Registry were used to parameterize the model. Transition probabilities were estimated using parametric survival models including relevant clinical and pathological covariates. Subsequently, biomarker status was implemented using external data. Treatment effect was incorporated using pooled trial data. Model development, data sources used, parameter estimation, and internal and ex

SUBMITTER: Jongeneel G 

PROVIDER: S-EPMC7423797 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature