BACKGROUND: Comparative trials evaluating management strategies for colorectal cancer liver metastases (CLM) are lacking, especially for older patients. This study developed a decision-analytic model to quantify outcomes associated with treatment strategies for CLM in older patients. METHODS: A Markov-decision model was built to examine the effect on life expectancy (LE) and quality-adjusted life expectancy (QALE) for best supportive care (BSC), systemic chemotherapy (SC), radiofrequency ablation (RFA) and hepatic resection (HR). The baseline patient cohort assumptions included healthy 70-year-old CLM patients after a primary cancer resection. Event and transition probabilities and utilities were derived from a literature review. Deterministic and probabilistic sensitivity analyses were performed on all study parameters. RESULTS: In base case analysis, BSC, SC, RFA and HR yielded LEs of 11.9, 23.1, 34.8 and 37.0 months, and QALEs of 7.8, 13.2, 22.0 and 25.0 months, respectively. Model results were sensitive to age, comorbidity, length of model simulation and utility after HR. Probabilistic sensitivity analysis showed increasing preference for RFA over HR with increasing patient age. CONCLUSIONS: HR may be optimal for healthy 70-year-old patients with CLM. In older patients with comorbidities, RFA may provide better LE and QALE. Treatment decisions in older cancer patients should account for patient age, comorbidities, local expertise and individual values.
BACKGROUND: Comparative trials evaluating management strategies for colorectal cancer liver metastases (CLM) are lacking, especially for older patients. This study developed a decision-analytic model to quantify outcomes associated with treatment strategies for CLM in older patients. METHODS: A Markov-decision model was built to examine the effect on life expectancy (LE) and quality-adjusted life expectancy (QALE) for best supportive care (BSC), systemic chemotherapy (SC), radiofrequency ablation (RFA) and hepatic resection (HR). The baseline patient cohort assumptions included healthy 70-year-old CLM patients after a primary cancer resection. Event and transition probabilities and utilities were derived from a literature review. Deterministic and probabilistic sensitivity analyses were performed on all study parameters. RESULTS: In base case analysis, BSC, SC, RFA and HR yielded LEs of 11.9, 23.1, 34.8 and 37.0 months, and QALEs of 7.8, 13.2, 22.0 and 25.0 months, respectively. Model results were sensitive to age, comorbidity, length of model simulation and utility after HR. Probabilistic sensitivity analysis showed increasing preference for RFA over HR with increasing patient age. CONCLUSIONS: HR may be optimal for healthy 70-year-old patients with CLM. In older patients with comorbidities, RFA may provide better LE and QALE. Treatment decisions in older cancerpatients should account for patient age, comorbidities, local expertise and individual values.
Authors: Scott Kopetz; George J Chang; Michael J Overman; Cathy Eng; Daniel J Sargent; David W Larson; Axel Grothey; Jean-Nicolas Vauthey; David M Nagorney; Robert R McWilliams Journal: J Clin Oncol Date: 2009-05-26 Impact factor: 44.544
Authors: Thomas Zacharias; Daniel Jaeck; Elie Oussoultzoglou; Philippe Bachellier; Jean-Christophe Weber Journal: Ann Surg Date: 2004-11 Impact factor: 12.969
Authors: L Biganzoli; A Goldhirsch; C Straehle; M Castiglione-Gertsch; P Therasse; M Aapro; A Minisini; M J Piccart Journal: Ann Oncol Date: 2004-02 Impact factor: 32.976
Authors: Matthew T Seymour; Timothy S Maughan; Jonathan A Ledermann; Clare Topham; Roger James; Stephen J Gwyther; David B Smith; Stephen Shepherd; Anthony Maraveyas; David R Ferry; Angela M Meade; Lindsay Thompson; Gareth O Griffiths; Mahesh Kb Parmar; Richard J Stephens Journal: Lancet Date: 2007-07-14 Impact factor: 79.321