Prognostic factors in angiosarcoma: A multivariate analysis of 55 cases
β Scribed by Naka, Norifumi; Ohsawa, Masahiko; Tomita, Yasuhiko; Kanno, Hiroyuki; Uchida, Atsumasa; Myoui, Akira; Aozasa, Katsuyuki
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 644 KB
- Volume
- 61
- Category
- Article
- ISSN
- 0022-4790
No coin nor oath required. For personal study only.
β¦ Synopsis
Data for prognostic factors in angiosarcoma (AS) are limited, prompting a large-scale study of AS with multivariate analysis. To analyze prognostic factors in angiosarcoma (AS), clinical and histologic findings in 55 patients collected from hospitals in Japan were reviewed. Prognostic factors were evaluated by univariate and multivariate Cox's proportional hazards models. The study involved 32 males and 23 females, ages 18-93 (median, 69) years. The primary sites of tumors included head and neck (32 cases), trunk (lo), extremities (3), spleen (3), breast (3), and other (4). The overall 2-year survival rate was 2 1 %. Univariate analysis of clinical factors including age, sex, size and depth of tumor, tumor-related symptoms. interval between onset of symptoms and admission, surgical procedures, adjuvant chemotherapy, and adjuvant radiotherapy showed that age, tumor size, and mode of treatment were significant for survival. Histologic factors analyzed were mitotic counts, cellularity, cellular pleomorphism. extent of necrosis, vascular differentiation, and nonspecific diagnosis. Only mitotic counts were significant for prognosis. Multivariate analysis on these four factors revealed that tumor size, mode of treatment, and mitotic counts were independent prognostic factors. 0 1996 Wiiey-Liss. Inc.
π SIMILAR VOLUMES
A retrospective multivariate analysis of 37 clinical, biochemical, and hematological data was performed in 107 cases of primary myeiodispiastic syndromes (MDS) in order to recognize their prognostic significance. The most important individual variables, isolated in a previous univariate analysis, we
## Background and objectives: To establish appropriate therapeutic modalities for renal cell carcinoma (rcc), informations on the factors affecting prognosis of patients are essential. for this purpose, multivariate analysis including a large set of variables is necessary. ## Methods: Prognostic
We assessed prognostic factors in 115 patients with serologically defined fulminant hepatitis B. The diagnosis in each case WM based on the finding of IgM antibody to the hepatitis B core antigen in serum. Multivariate analysis showed that factor V level (p < 0.001), patient's age (p = 0.001), absen