정창욱 (서울대학교병원, University of California, San Francisco) | 한빛사논문 > 한빛사

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서울대학교병원, University of California, San Francisco

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Eur. Urol., Available online 21 January 2020 | https://doi.org/10.1016/j.eururo.2020.01.009 The New Surveillance, Epidemiology, and End Results Prostate with Watchful Waiting Database: Opportunities and Limitations

Chang Wook Jeong^a,b,*, Samuel L. Washington III^a, Annika Herlemann^a,c, Scarlett L. Gomez^d, Peter R. Carroll^a, Matthew R. Cooperberg^a,d

^aHelen Diller Family Comprehensive Cancer Center, Department of Urology, University of California, San Francisco, CA, USA
^b Department of Urology, Seoul National University Hospital, Seoul, Republic of Korea
^c Department of Urology, Ludwig-Maximilians-University of Munich, Munich, Germany
^d Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA

^*Corresponding author : Chang Wook Jeong

Abstract

Background
Active surveillance (AS)/watchful waiting (WW) strategy for localized prostate cancer (PCa) is increasingly and broadly endorsed as a preferred option for initial treatment of men with very low- and low-risk PCa, but outcomes can be difficult to analyze in traditional, population-based registries. The recently released Surveillance, Epidemiology, and End Results (SEER) Prostate with WW dataset provides an opportunity to understand national patterns and trends in AS/WW, but the data source itself has not been well described.

Objective
To provide a comprehensive description of this dataset and investigate possible biases due to missing data.

Design, setting, and participants
The SEER is a population-based epidemiologic registry in the USA. Newly diagnosed PCa patient data were collected from 18 SEER registries between 2010 and 2015, with inclusion of a new treatment variable for AS/WW. We identified 316 724 patients in the entire cohort and 257 060 men with clinically localized PCa (T1-2N0M0).

Intervention
Various primary treatments for PCa.

Outcome measurements and statistical analysis
The degree of missing data for each variable was measured. In order to investigate possible bias due to missing data for cancer characterization, we compared two versions of the data: one that excluded cases with missing data and one dataset generated applying multiple imputations.

Results and limitations
Only 46% of cases had complete data on basic cancer characteristics for risk stratification. The excluded dataset (N = 118 821) differed significantly from the multiple imputation dataset (N = 257 060) in the distribution of every reported variable (all p < 0.001). The dataset does not distinguish WW from AS, which is a limitation.

Conclusions
While the SEER Prostate with WW dataset offers a new method to describe treatment trends for men with PCa, including the use of AS/WW, the amount of missing data should not be ignored.

Patient summary
While the Surveillance, Epidemiology, and End Results Prostate with Watchful Waiting dataset offers a new method to describe treatment trends for men with prostate cancer, including the use of active surveillance, it has a significant amount of missing data, which can be a source of potential bias if not addressed properly.

Keywords : Prostate cancer, Active surveillance, Watchful waiting, Cohort study, Population-based study

논문정보

형식Research article
게재일2020년 01월 (BRIC 등록일 2020-01-30)
연구진국내(교신)+국외 연구진
분야 의약학 > 종양의학

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