S Earlam1, C Glover, C Fordy, D Burke, T G Allen-Mersh. 1. Department of Surgery, Charing Cross and Westminster Medical School, Chelsea and Westminster Hospital, London, United Kingdom.
Abstract
PURPOSE AND METHODS: This study assessed the relationship between survival, tumor size, and quality of life (QoL; Rotterdam Symptom Checklist [RSC], Hospital Anxiety and Depression Scale [HAD], and Sickness Impact Profile [SIP]) in 50 patients with colorectal liver metastases (CLM). RESULTS: Physical symptom score (RSC) was a stronger survival predictor than tumor size measured on computed tomographic (CT) scan. The best model for predicting survival included QoL questions about diarrhea, eating, restlessness, and ability to work and sleep. The only clinically measured variable included in this best survival prediction model was serum alkaline phosphatase level. This is the first study to show that QoL indices predict survival in CLM. The findings suggest that differences in tumor products and not just in tumor size could influence patient fitness and survival in CLM. Such differences are more accurately estimated by QoL assessment than measurement of tumor size. CONCLUSION: QoL provides a better survival estimate than measurement of tumor size and could be used as a surrogate end point for survival in treatment trials.
PURPOSE AND METHODS: This study assessed the relationship between survival, tumor size, and quality of life (QoL; Rotterdam Symptom Checklist [RSC], Hospital Anxiety and Depression Scale [HAD], and Sickness Impact Profile [SIP]) in 50 patients with colorectal liver metastases (CLM). RESULTS: Physical symptom score (RSC) was a stronger survival predictor than tumor size measured on computed tomographic (CT) scan. The best model for predicting survival included QoL questions about diarrhea, eating, restlessness, and ability to work and sleep. The only clinically measured variable included in this best survival prediction model was serum alkaline phosphatase level. This is the first study to show that QoL indices predict survival in CLM. The findings suggest that differences in tumor products and not just in tumor size could influence patientfitness and survival in CLM. Such differences are more accurately estimated by QoL assessment than measurement of tumor size. CONCLUSION: QoL provides a better survival estimate than measurement of tumor size and could be used as a surrogate end point for survival in treatment trials.
Authors: Rebecca M Dodson; Richard P McQuellon; Harveshp D Mogal; Katharine E Duckworth; Gregory B Russell; Konstantinos I Votanopoulos; Perry Shen; Edward A Levine Journal: Ann Surg Oncol Date: 2016-09-08 Impact factor: 5.344
Authors: Hee Chul Park; Nora A Janjan; Tito R Mendoza; Edward H Lin; Saroj Vadhan-Raj; Mandeep Hundal; Yiqun Zhang; Marc E Delclos; Christopher H Crane; Prajnan Das; Xin Shelley Wang; Charles S Cleeland; Sunil Krishnan Journal: Int J Radiat Oncol Biol Phys Date: 2009-02-21 Impact factor: 7.038
Authors: Monica E Reyes; Yuanqing Ye; Yeling Zhou; Alexander Liang; Scott Kopetz; M Alma Rodriquez; Xifeng Wu; Michelle A T Hildebrandt Journal: Qual Life Res Date: 2016-08-04 Impact factor: 4.147