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Clinical and socio‐demographic profile of an Australian multi‐institutional prostate cancer cohort
Author(s) -
BECKMANN Kerri,
PINNOCK Carole B,
TAMBLYN David J,
KOPSAFTIS Tina,
STAPLETON Alan MF,
RODER David M
Publication year - 2009
Publication title -
asia‐pacific journal of clinical oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 29
eISSN - 1743-7563
pISSN - 1743-7555
DOI - 10.1111/j.1743-7563.2009.01237.x
Subject(s) - medicine , prostatectomy , prostate cancer , cohort , socioeconomic status , prostate specific antigen , population , logistic regression , cancer , residence , demography , stage (stratigraphy) , oncology , environmental health , paleontology , sociology , biology
Aims: To describe the clinical and socio‐demographic data from a South Australian prostate cancer cohort (PCCOD). Methods: Clinical data for 2329 prostate cancer patients treated at three South Australian teaching hospitals between 1998 and 2007 were analyzed by place of residence, time of diagnosis and socioeconomic status (SES). χ 2 tests were used to investigate differences in stage, grade and prostate‐specific antigen (PSA) at diagnosis, among subgroups and over time. Logistic regression was used to examine predictors of treatment modalities. Five‐year survival was assessed using Kaplan–Meier methods. Results: The distributions of age, SES and place of residence of PCCOD patients closely reflected those of the state‐based prostate cancer population, with rural patients slightly underrepresented. Lower SES or rural residence was not associated with higher stage, grade, PSA level or disease‐specific survival. Treatment modalities varied with SES (for radical prostatectomy), rural residence (radical prostatectomy, radiotherapy and androgen ablation), age and clinical characteristics. There was a trend over time towards a younger age at diagnosis and more favorable clinical profiles, consistent with earlier diagnosis. However, the current risk profile for this cohort is similar to that reported approximately a decade earlier in a US series. Conclusion: PCCOD patients have a broadly similar socio‐demographic profile to prostate cancer patients statewide. Socioeconomic status is not associated with clinical characteristics at diagnosis, but does predict treatment type. The clinical characteristics of the cohort are consistent with a much later stage presentation than reported in current US case series.