The establishment of KORCC (KOrean Renal Cell Carcinoma) database

Autor: Seok-Soo Byun, Sung Kyu Hong, Sangchul Lee, Ha Rim Kook, Eunsik Lee, Hyeon Hoe Kim, Cheol Kwak, Ja Hyeon Ku, Chang Wook Jeong, Ji Youl Lee, Sung Hoo Hong, Yong-June Kim, Eu Chang Hwang, Tae Gyun Kwon, Tae-Hwan Kim, Seok Ho Kang, Sung Han Kim, Jinsoo Chung
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Investigative and Clinical Urology, Vol 57, Iss 1, Pp 50-57 (2016)
Druh dokumentu: article
ISSN: 2466-0493
2466-054X
DOI: 10.4111/icu.2016.57.1.50
Popis: Purpose: The purpose of this article is to report establishment of the 1st Web-based database (DB) system to collect renal cell carcinoma (RCC) data in Korea. Materials and Methods: The new Web-based DB system was established to collect basic demographic and clinicopahtological characteristics of a large cohort of patients with RCC in Korea. Data from a total of 6,849 patients were collected from 8 tertiary care hospitals that agreed to participate in organizing the Korean Renal Cell Carcinoma (KORCC) study group as of 1 July 2015. Basic demographic and clinicopathological characteristics were collected. The data of patients who underwent surgical treatments were analyzed to characterize Korean RCC. Results: We established the 1st Web-based DB of Korean RCC, a database comprising renal mass management cases from multiple centers in Korea. The data of 5,281 patients who underwent surgical management (mean follow-up, 32 months) were analyzed. The most common symptom was incidentally detected renal mass (76.9%). Clinical T1a was the most common (54.3%) stage and mean tumor size was 4.8±4.2 cm. Radical nephrectomy accounted for 62.7% of cases and an open approach was used in 50.7% and 52.2% of radical and partial nephrectomies, respectively. The 5-year overall, cancer-specific and recurrence-free survival rates were 88.1%, 92.2%, and 88.0%, respectively. Conclusions: We report the 1st establishment of a Web-based DB system to collect RCC data in Korea. This DB system will provide a solid basis for the characterization of Korean RCC.
Databáze: Directory of Open Access Journals
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