Development and Internal Validation of a Web-based Tool to Predict Sexual, Urinary, and Bowel Function Longitudinally After Radiation Therapy, Surgery, or Observation

Aaron A. Laviana; Zhiguo Zhao; Li Ching Huang; Tatsuki Koyama; Ralph Conwill; Karen Hoffman; Michael Goodman; Ann S. Hamilton; Xiao Cheng Wu; Lisa E. Paddock; Antoinette Stroup; Matthew R. Cooperberg; Mia Hashibe; Brock B. O'Neil; Sherrie H. Kaplan; Sheldon Greenfield; David F. Penson; Daniel A. Barocas

doi:10.1016/j.eururo.2020.02.007

Development and Internal Validation of a Web-based Tool to Predict Sexual, Urinary, and Bowel Function Longitudinally After Radiation Therapy, Surgery, or Observation

Aaron A. Laviana, Zhiguo Zhao, Li Ching Huang, Tatsuki Koyama, Ralph Conwill, Karen Hoffman, Michael Goodman, Ann S. Hamilton, Xiao Cheng Wu, Lisa E. Paddock, Antoinette Stroup, Matthew R. Cooperberg, Mia Hashibe, Brock B. O'Neil, Sherrie H. Kaplan, Sheldon Greenfield, David F. Penson, Daniel A. Barocas

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

Abstract

While the Surveillance, Epidemiology, and End Results (SEER)-Watchful Waiting dataset aims to address a knowledge gap in population-based data research as it pertains to prostate cancer, authors, readers, and editors must be careful of the potential biases that arise with complete case analysis. Multiple imputation modeling may improve the utility of this dataset by minimizing biases attributed to missing data.

Original language	English (US)
Pages (from-to)	248-255
Number of pages	8
Journal	European urology
Volume	78
Issue number	2
DOIs	https://doi.org/10.1016/j.eururo.2020.02.007
State	Published - Aug 2020

Keywords

Comparative effectiveness
Disease risk
Nomogram
Patient-reported function
Prostate cancer

ASJC Scopus subject areas

Urology

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10.1016/j.eururo.2020.02.007

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Laviana, A. A., Zhao, Z., Huang, L. C., Koyama, T., Conwill, R., Hoffman, K., Goodman, M., Hamilton, A. S., Wu, X. C., Paddock, L. E., Stroup, A., Cooperberg, M. R., Hashibe, M., O'Neil, B. B., Kaplan, S. H., Greenfield, S., Penson, D. F., & Barocas, D. A. (2020). Development and Internal Validation of a Web-based Tool to Predict Sexual, Urinary, and Bowel Function Longitudinally After Radiation Therapy, Surgery, or Observation. European urology, 78(2), 248-255. https://doi.org/10.1016/j.eururo.2020.02.007

Laviana, AA, Zhao, Z, Huang, LC, Koyama, T, Conwill, R, Hoffman, K, Goodman, M, Hamilton, AS, Wu, XC, Paddock, LE, Stroup, A, Cooperberg, MR, Hashibe, M, O'Neil, BB, Kaplan, SH, Greenfield, S, Penson, DF & Barocas, DA 2020, 'Development and Internal Validation of a Web-based Tool to Predict Sexual, Urinary, and Bowel Function Longitudinally After Radiation Therapy, Surgery, or Observation', European urology, vol. 78, no. 2, pp. 248-255. https://doi.org/10.1016/j.eururo.2020.02.007

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abstract = "While the Surveillance, Epidemiology, and End Results (SEER)-Watchful Waiting dataset aims to address a knowledge gap in population-based data research as it pertains to prostate cancer, authors, readers, and editors must be careful of the potential biases that arise with complete case analysis. Multiple imputation modeling may improve the utility of this dataset by minimizing biases attributed to missing data.",

keywords = "Comparative effectiveness, Disease risk, Nomogram, Patient-reported function, Prostate cancer",

author = "Laviana, {Aaron A.} and Zhiguo Zhao and Huang, {Li Ching} and Tatsuki Koyama and Ralph Conwill and Karen Hoffman and Michael Goodman and Hamilton, {Ann S.} and Wu, {Xiao Cheng} and Paddock, {Lisa E.} and Antoinette Stroup and Cooperberg, {Matthew R.} and Mia Hashibe and O'Neil, {Brock B.} and Kaplan, {Sherrie H.} and Sheldon Greenfield and Penson, {David F.} and Barocas, {Daniel A.}",

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year = "2020",

month = aug,

doi = "10.1016/j.eururo.2020.02.007",

language = "English (US)",

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AU - Laviana, Aaron A.

AU - Zhao, Zhiguo

AU - Huang, Li Ching

AU - Koyama, Tatsuki

AU - Conwill, Ralph

AU - Hoffman, Karen

AU - Goodman, Michael

AU - Hamilton, Ann S.

AU - Wu, Xiao Cheng

AU - Paddock, Lisa E.

AU - Stroup, Antoinette

AU - Cooperberg, Matthew R.

AU - Hashibe, Mia

AU - O'Neil, Brock B.

AU - Kaplan, Sherrie H.

AU - Greenfield, Sheldon

AU - Penson, David F.

AU - Barocas, Daniel A.

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AB - While the Surveillance, Epidemiology, and End Results (SEER)-Watchful Waiting dataset aims to address a knowledge gap in population-based data research as it pertains to prostate cancer, authors, readers, and editors must be careful of the potential biases that arise with complete case analysis. Multiple imputation modeling may improve the utility of this dataset by minimizing biases attributed to missing data.

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KW - Disease risk

KW - Nomogram

KW - Patient-reported function

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Development and Internal Validation of a Web-based Tool to Predict Sexual, Urinary, and Bowel Function Longitudinally After Radiation Therapy, Surgery, or Observation

Abstract

Keywords

ASJC Scopus subject areas

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