[The clinical features and prognostic factors of 22 patients with primary central nervous system lymphoma]. 2001

H Yu, and Y Xie, and G Wang
Department of Hematology, Huashan Hospital, Fudan University Medical School, Shanghai, China.

OBJECTIVE The authors present a retrospective analysis of 22 patients with primary central nervous system lymphoma(PCNSL) in order to provide a reasonable basis for the diagnosis and treatment of the disease. METHODS This report involves a clinicopathological study of 22 patients with histologically proven PCNSL, all diagnosed between January 1993 and May 2000. Univariate and multivariate regression analysis are used to determine prognostic factors significantly associated with an unfavorable or favorable impact on survival. RESULTS The cohort included 11 men and 11 women whose median age at diagnosis was 49.5 years. At the end point of follow-up, 11 died. The median survival time for the patients in study was 14.5 months. With univariate and multivariate regression analysis, prognostic factors significantly associated with survival included intrathecal injection(P = 0.005) and local/diffuse neurological deficit (P = 0.031). CONCLUSIONS There continues to be a significantly increasing incidence of PCNSL. This survey throws light on the clinical and prognostic features of this uncommon disease. Through univariate and multivariate regression analysis the authors highly recommend a therapeutic regime including surgery, intrathecal injection and chemotherapy, especially those drugs capable of passing blood-brain barrier, for example high dose MTX.

UI MeSH Term Description Entries
D008223 Lymphoma A general term for various neoplastic diseases of the lymphoid tissue. Germinoblastoma,Lymphoma, Malignant,Reticulolymphosarcoma,Sarcoma, Germinoblastic,Germinoblastic Sarcoma,Germinoblastic Sarcomas,Germinoblastomas,Lymphomas,Lymphomas, Malignant,Malignant Lymphoma,Malignant Lymphomas,Reticulolymphosarcomas,Sarcomas, Germinoblastic
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D011379 Prognosis A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations. Prognostic Factor,Prognostic Factors,Factor, Prognostic,Factors, Prognostic,Prognoses
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D005260 Female Females
D005500 Follow-Up Studies Studies in which individuals or populations are followed to assess the outcome of exposures, procedures, or effects of a characteristic, e.g., occurrence of disease. Followup Studies,Follow Up Studies,Follow-Up Study,Followup Study,Studies, Follow-Up,Studies, Followup,Study, Follow-Up,Study, Followup
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults

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