Inverse probability of treatment-weighted competing risks analysis: An application on long-term risk of urinary adverse events after prostate cancer treatments

Charlotte A. Bolch, Haitao Chu, Stephanie Jarosek, Stephen R. Cole, Sean Elliott, Beth Virnig

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

Background: To illustrate the 10-year risks of urinary adverse events (UAEs) among men diagnosed with prostate cancer and treated with different types of therapy, accounting for the competing risk of death. Methods: Prostate cancer is the second most common malignancy among adult males in the United States. Few studies have reported the long-term post-treatment risk of UAEs and those that have, have not appropriately accounted for competing deaths. This paper conducts an inverse probability of treatment (IPT) weighted competing risks analysis to estimate the effects of different prostate cancer treatments on the risk of UAE, using a matched-cohort of prostate cancer/non-cancer control patients from the Surveillance, Epidemiology and End Results (SEER) Medicare database. Results: Study dataset included men age 66 years or older that are 83% white and had a median follow-up time of 4.14 years. Patients that underwent combination radical prostatectomy and external beam radiotherapy experienced the highest risk of UAE (IPT-weighted competing risks: HR 3.65 with 95% CI (3.28, 4.07); 10-yr. cumulative incidence = 36.5%). Conclusions: Findings suggest that IPT-weighted competing risks analysis provides an accurate estimator of the cumulative incidence of UAE taking into account the competing deaths as well as measured confounding bias.

Original languageEnglish (US)
Article number93
JournalBMC Medical Research Methodology
Volume17
Issue number1
DOIs
StatePublished - Jul 10 2017

Bibliographical note

Publisher Copyright:
© 2017 The Author(s).

Keywords

  • Competing risks
  • Confounding bias
  • Inverse probability weighting
  • Prostate cancer
  • Survival analysis
  • Urinary adverse events

PubMed: MeSH publication types

  • Journal Article

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  • Open Access Publishing Fund

    Sims, N. A. (Key Personnel)

    3/1/12 → …

    Project: Other project

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