Development and validation of a prognostic model to predict the length of survival in patients with carcinomas of an unknown primary site
Development and validation of a prognostic model to predict the length of survival in patients with carcinomas of an unknown primary site
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DOI:
10.1200/jco.2002.04.019
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发表时间:
2002-12-15
影响因子:
45.3
通讯作者:
Fizazi, K
中科院分区:
文献类型:
--
作者:
Culine, S;Kramar, A;Fizazi, K
Purpose: To identify clinical and biologic variables with significant impact on survival in patients with carcinomas of an unknown primary site and to develop a simple prognostic model for the selection of patients in prospective clinical trials.Patients and Methods: Univariate and multivariate prognostic factor analyses were conducted in a population of 150 unselected patients and led to the construction of two successive classification schemes. An external data set of 116 patients enrolled onto two prospective trials was used for validation.Results: When studying clinical variables only, poor performance status (2 or 3) and presence of liver metastases were retained in the multivariate analysis. The first classification scheme consisted of three subgroups of patients with median survivals of 10.8, 6.0, and 2.4 months, according to the number of adverse prognostic factors. With the introduction of serum lactate dehydrogenase (LDH) levels in a further step, liver metastases were no longer significant. The second classification scheme therefore included poor performance status (relative risk [RR], 2.1) and elevated serum LDH level (RR, 2.1). Good-risk and poor-risk patients were identified, with median survivals of 11.7 months and 3.9 months, respectively (P