Surgery (RMH) - Research Publications
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ItemChanging face of robot-assisted radical prostatectomy in Melbourne over 12 years(WILEY, 2018-03)BACKGROUND: This study aims to characterize the trends in disease presentation for robot-assisted radical prostatectomy (RARP) over a 12-year period in Melbourne, Australia. METHODS: All patients undergoing an RARP between 2004 and October 2016 while under the care of six high-volume surgeons were included in this study. Data were collected prospectively regarding patient demographics and clinical details of their cancer. RESULTS: Over the 12-year time span of the study, 3075 men underwent an RARP with a median age of 63.01 years. Temporal analysis demonstrated that the median age of patients undergoing prostatectomy advanced with time with the median age in 2016 being 65.51 years compared with 61.0 years in 2004 (P < 0.001). There was also a significant trend to increased D'Amico risk groups over time with the percentage procedures for high-risk patients increasing from 12.6% to 28.10% from 2004 to 2016 (P < 0.001). Upgrade rates between biopsy and pathological Gleason grade scoring significantly trended down over the period of the study (P < 0.001). There was also a shift to increased pathological stage over the 12 years with 22.1% of men having T3 disease in 2004 compared with 49.8% in 2016. CONCLUSION: Our analysis demonstrates increasing treatment of older men with higher risk tumours, consistent with international trends. While this largely reflects a shift in case selection, further work is needed to assess whether the stage shift may relate partially to a decline in screening and increased presentation of higher risk disease.
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ItemError rates in a clinical data repository: lessons from the transition to electronic data transfer - a descriptive study(BMJ PUBLISHING GROUP, 2013)OBJECTIVE: Data errors are a well-documented part of clinical datasets as is their potential to confound downstream analysis. In this study, we explore the reliability of manually transcribed data across different pathology fields in a prostate cancer database and also measure error rates attributable to the source data. DESIGN: Descriptive study. SETTING: Specialist urology service at a single centre in metropolitan Victoria in Australia. PARTICIPANTS: Between 2004 and 2011, 1471 patients underwent radical prostatectomy at our institution. In a large proportion of these cases, clinicopathological variables were recorded by manual data-entry. In 2011, we obtained electronic versions of the same printed pathology reports for our cohort. The data were electronically imported in parallel to any existing manual entry record enabling direct comparison between them. OUTCOME MEASURES: Error rates of manually entered data compared with electronically imported data across clinicopathological fields. RESULTS: 421 patients had at least 10 comparable pathology fields between the electronic import and manual records and were selected for study. 320 patients had concordant data between manually entered and electronically populated fields in a median of 12 pathology fields (range 10-13), indicating an outright accuracy in manually entered pathology data in 76% of patients. Across all fields, the error rate was 2.8%, while individual field error ranges from 0.5% to 6.4%. Fields in text formats were significantly more error-prone than those with direct measurements or involving numerical figures (p<0.001). 971 cases were available for review of error within the source data, with figures of 0.1-0.9%. CONCLUSIONS: While the overall rate of error was low in manually entered data, individual pathology fields were variably prone to error. High-quality pathology data can be obtained for both prospective and retrospective parts of our data repository and the electronic checking of source pathology data for error is feasible.