Literature DB >> 20339635

Survival and prognostic factors of patients with clinically localized prostate cancer.

Arn Migowski1, Gulnar Azevedo e Silva.   

Abstract

OBJECTIVE: To assess survival rates and clinical (pretreatment) prognostic factors in patients with clinically localized adenocarcinoma of the prostate.
METHODS: Hospital cohort including 258 patients registered in the National Cancer Institute, in the city of Rio de Janeiro, southeastern Brazil, from 1990 to 1999. Five- and ten-year survival functions were estimated using the Kaplan-Meier estimator from the histological diagnosis (initial time of follow-up) to death due to prostate cancer (events). Prognostic factors were assessed using hazard ratios (HR) with confidence intervals of 95%, following the Cox's proportional hazards model. The assumption of proportionality of risks was tested using Schoenfeld residuals and the impact of outliers in the model fitness was analyzed using martingale and score residuals.
RESULTS: Of 258 patients studied, 46 died during follow-up. The overall five-year and ten-year survival rates were 88% and 71%, respectively. A Gleason score higher than 6, PSA levels higher than 40 ng/mL, B2 stage, and white skin color were independent markers of poor prognosis.
CONCLUSIONS: Gleason score, digital rectal examination and PSA levels have great predictive power and must be used in pretreatment risk stratification of patients with localized prostate cancer.

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Year:  2010        PMID: 20339635     DOI: 10.1590/s0034-89102010000200016

Source DB:  PubMed          Journal:  Rev Saude Publica        ISSN: 0034-8910            Impact factor:   2.106


  6 in total

1.  Patient survival and risk of death after prostate cancer treatment in the Brazilian Unified Health System.

Authors:  Sonia Faria Mendes Braga; Mirian Carvalho de Souza; Raphael Romie de Oliveira; Eli Iola Gurgel Andrade; Francisco de Assis Acurcio; Mariangela Leal Cherchiglia
Journal:  Rev Saude Publica       Date:  2017-05-15       Impact factor: 2.106

2.  The effects of time valuation in cancer optimal therapies: a study of chronic myeloid leukemia.

Authors:  Pedro José Gutiérrez-Diez; Miguel Ángel López-Marcos; Julia Martínez-Rodríguez; Jose Russo
Journal:  Theor Biol Med Model       Date:  2019-05-28       Impact factor: 2.432

3.  Survival and prognostic determinants of prostate cancer patients in Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia: A retrospective cohort study.

Authors:  Jemal Beksisa; Tewodros Getinet; Sisay Tanie; Jilcha Diribi; Hamid Yimam Hassen
Journal:  PLoS One       Date:  2020-03-05       Impact factor: 3.240

4.  Digital rectal examination and its associated factors in the early detection of prostate cancer: a cross-sectional population-based study.

Authors:  Samara Carollyne Mafra Soares; Marianna de Camargo Cancela; Arn Migowski; Dyego Leandro Bezerra de Souza
Journal:  BMC Public Health       Date:  2019-11-27       Impact factor: 3.295

5.  Dietary intake as a predictor for all-cause mortality in hemodialysis subjects (NUGE-HD study).

Authors:  Karla Pereira Balbino; Leidjaira Lopes Juvanhol; Andreza de Paula Santos Epifânio; Luciane Domingos Marota; Josefina Bressan; Helen Hermana Miranda Hermsdorff
Journal:  PLoS One       Date:  2019-12-17       Impact factor: 3.240

6.  High incidence of prostate cancer metastasis in Afro-Brazilian men with low educational levels: a retrospective observational study.

Authors:  Alexandre Barbosa Câmara de Souza; Hugo Gonçalo Guedes; Victor Carbone Bernardes Oliveira; Fábio Aires de Araújo; Carlos Cesar Oliveira Ramos; Karina Carla Paula Medeiros; Raimundo Fernandes Araújo
Journal:  BMC Public Health       Date:  2013-06-04       Impact factor: 3.295

  6 in total

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