Time to death in breast cancer patients as an indicator of treatment response

Breast Cancer Research and Treatment
Steven A NarodVictoria Sopik

Abstract

To describe the mortality experience of women who die of breast cancer in the 20-year period post-diagnosis using various metrics, including annual mortality rates, Kaplan-Meier survival curves and time-to-death histograms. We generated three visual representations of SEER-based and hospital-based breast cancer patient cohorts using three different metrics of mortality. The greatest impact of most prognostic factors was on the probability of latent metastases present after treatment, but for some factors the primary impact was on the time to death for those women with metastases. The use of time-to-death statistics to display mortality benefits for treated versus untreated women helps facilitate the distinction between treatments which increase the likelihood of cure and treatments that delay cancer growth.

References

Jan 3, 2003·European Journal of Cancer : Official Journal for European Organization for Research and Treatment of Cancer (EORTC) [and] European Association for Cancer Research (EACR)·Richard TaylorJohn Boyages
Sep 2, 2004·Journal of the National Cancer Institute·Catherine SchairerSusan S Devesa
Jun 11, 2008·Breast Cancer Research and Treatment·Rebecca DentSteven A Narod

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Citations

Dec 13, 2019·JAMA Oncology·Steven A NarodVictoria Sopik
Apr 7, 2020·Breast Disease·Travis BrachtenbachMatt Vassar
Oct 18, 2018·Breast Cancer Research and Treatment·Victoria SopikSteven A Narod
Sep 25, 2020·American Journal of Transplantation : Official Journal of the American Society of Transplantation and the American Society of Transplant Surgeons·David P Al-AdraKymberly D Watt
May 1, 2021·Healthcare·Aldona SkučaitėJonas Šiaulys
Nov 5, 2021·Nature Communications·Sonali JindalPepper Schedin

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