PURPOSE: This study was developed to determine whether descriptive information from a patient-completed questionnaire could provide prognostic information that was independent from that already obtained by the patient's physician. PATIENTS AND METHODS: An initial detailed questionnaire was administered to approximately 150 patients with advanced cancer. This questionnaire was subsequently revised and given to a total of 1,115 patients with advanced colorectal or lung cancer. Univariate and multivariate analyses were performed to evaluate the data from these questionnaires. RESULTS: A total of 36 variables showed statistically significant prognostic information for survival in univariate analyses, even though many of these variables were associated with only a minimal increase in risk. A multivariate analysis demonstrated that there was a high correlation between many variables. Three major groups of variables became apparent as providing strong prognostic information. These included the following: (1) a physician's assessment of performance status (PS); (2) a patient's assessment of their own PS; and (3) a nutritional factor such as appetite, caloric intake, or overall food intake. CONCLUSION: Data generated by a patient-completed questionnaire can provide important prognostic information independent from that obtained by other physician-determined prognostic factors.
PURPOSE: This study was developed to determine whether descriptive information from a patient-completed questionnaire could provide prognostic information that was independent from that already obtained by the patient's physician. PATIENTS AND METHODS: An initial detailed questionnaire was administered to approximately 150 patients with advanced cancer. This questionnaire was subsequently revised and given to a total of 1,115 patients with advanced colorectal or lung cancer. Univariate and multivariate analyses were performed to evaluate the data from these questionnaires. RESULTS: A total of 36 variables showed statistically significant prognostic information for survival in univariate analyses, even though many of these variables were associated with only a minimal increase in risk. A multivariate analysis demonstrated that there was a high correlation between many variables. Three major groups of variables became apparent as providing strong prognostic information. These included the following: (1) a physician's assessment of performance status (PS); (2) a patient's assessment of their own PS; and (3) a nutritional factor such as appetite, caloric intake, or overall food intake. CONCLUSION: Data generated by a patient-completed questionnaire can provide important prognostic information independent from that obtained by other physician-determined prognostic factors.
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