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Updated: Mar 8, 2026

A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer
Published on: March 6, 2018
Prostate cancer outcomes and delays in care
Michael E O'Callaghan1,2,3,4, Zumin Shi5, Tina Kopsaftis6,7
1Urology Unit, SA Health, Repatriation General Hospital, Daws Road, Daw Park, Adelaide, SA, 5041, Australia. michael.ocallaghan@health.sa.gov.au.
Objectives:
To examine the survival effect of treatment delays from the time of confirmed diagnosis of prostate cancer to first treatment in an Australian population.
Methods:
Three thousand one hundred and forty patients were identified from the South Australian Prostate Cancer Clinical Outcomes Collaborative database for analysis. Selected patients had dates recorded for both diagnosis and treatment. We examined the effect of treatment delay (the time from diagnosis to date of first treatment) on survival using Cox and competing risks regression and compared quartiles of delay across the cohort. Adjustment was made for age, PSA levels, treatment modality and Gleason score. Outcomes included overall survival (OS) and prostate cancer-specific mortality (PCSM).
Results:
Quartiles of delay were as follows (days)-Q1: 35, Q2: 86, Q3: 138.0, Q4: 264. Shorter delays were associated with hormonal treatment, high Gleason score and high PSA values. Measuring PCSM with Q2 as reference, age-adjusted associations were-Q1: sHR 4.37 (2.75-6.94), Q3: sHR 1.29 (0.73-2.28), Q4: sHR 1.55 (0.91-2.63). After additional adjustment for treatment type, Gleason score and PSA, Q1 remained at increased risk [sHR 2.46 (1.10-5.54)]. A similar trend was observed for OS. In analysis stratified by Gleason score, delays were not significantly associated with OS.
Conclusions:
Factors associated with shorter delay in treatment include high Gleason score, high PSA and hormonal treatment. After adjustment for these variables, increased delays were not associated with OS or PCSM in this cohort. The nonlinear association of delay with risk may explain conflicting reports in the literature.
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