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1.
Annals of the Academy of Medicine, Singapore ; : 401-406, 2011.
Article in English | WPRIM | ID: wpr-229642

ABSTRACT

<p><b>INTRODUCTION</b>Renal cell carcinoma (RCC) in young patients is uncommon but thought to represent a distinctive clinical entity from older patients with different clinico-pathologic features and outcomes. We evaluated the association of age at the time of diagnosis with pathological staging, histological parameters, disease recurrence and overall survival (OS) following radical or partial nephrectomy for non-metastatic RCC in native kidneys.</p><p><b>MATERIALS AND METHODS</b>A retrospective review of 316 patients with RCC after nephrectomy at a single institution between January 2001 and June 2008 was performed. Eligible patients included all histologically proven primary non-metastatic RCC treated by radical or partial nephrectomy. They were categorised into group A (≤ 40 years at diagnosis) and B (> 40 years). Differences in clinical parameters were analysed using the Mann Whitney U test. The prognostic potential of age at diagnosis was evaluated using Cox proportional hazards regression. Survival was estimated using the Kaplan Meier method.</p><p><b>RESULTS</b>There were 33 patients in group A and 283 patients in group B. There were more non-clear cell tumours in the younger group (30% vs 14%, P <0.05). No statistical differences were found in the stage and grade of both groups. At a median follow-up time of 41 months, the younger group had a higher metastatic rate (18% vs 10.5%, P <0.05), lower 5-year cancer-specific survival (82% vs 98%, P <0.05) and lower 5-year OS (82 % vs 95%, P <0.05).</p><p><b>CONCLUSION</b>Younger patients were more likely to have non-clear cell RCC with higher disease recurrence and lower OS. They should not be assumed to have similar features and outcomes as screen-detected early RCC in older patients.</p>


Subject(s)
Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Age Factors , Carcinoma, Renal Cell , Diagnosis , Mortality , Pathology , General Surgery , Kaplan-Meier Estimate , Kidney Neoplasms , Diagnosis , Mortality , Pathology , General Surgery , Nephrectomy , Prognosis , Proportional Hazards Models , Recurrence , Retrospective Studies , Statistics, Nonparametric , Survival Analysis
2.
Annals of the Academy of Medicine, Singapore ; : 848-853, 2010.
Article in English | WPRIM | ID: wpr-237381

ABSTRACT

<p><b>INTRODUCTION</b>This study evaluated the data completeness in the registration of prostate cancer after robotic radical prostatectomy (RRP) in the Urological Cancer Registry at the Singapore General Hospital (SGH), and its compliance to the international standards of US Commission on Cancer (CoC).</p><p><b>MATERIALS AND METHODS</b>A certified cancer registrar reviewed all RRP cases between June 2003 and July 2008 in the Urological Cancer Registry at SGH.</p><p><b>RESULTS</b>A total of 365 cases were reviewed. The results showed that 351 (96.2%) of RRP patients' demographic data were captured and 321 (87.9%) of RRP patients were staged. According to the international standards of CoC for an academic institution, the requirement is to capture 100% of all cancer cases and stage at least 90% of them. As for data completeness, 317 (86.7%) of RRP details were captured as compared to the CoC standard requirement of 90%.</p><p><b>CONCLUSIONS</b>The existing manual cancer registry does not fully meet the CoC standards. Hence, the registry increased sources of case-finding and used active case-finding. With improvements made to the data collection methodology, the number of prostate cancer cases identified has been increased by 52.1% from 215 in 2007 to 327 in 2009. The registry is expected to be fully compliant with the CoC standard with the recruitment of more full time cancer registrars when a new web-based cancer registry is in full operation.</p>


Subject(s)
Humans , Male , Algorithms , Data Collection , Methods , Demography , Prostatectomy , Methods , Prostatic Neoplasms , General Surgery , Registries , Research Design , Reference Standards , Robotics , Singapore
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