Literature DB >> 20141675

A method for using life tables to estimate lifetime risk for prostate cancer death.

Hyung L Kim1, Marvin R Puymon, Maochun Qin, Khurshid Guru, James L Mohler.   

Abstract

Prostate cancer can have a long and indolent course, and management without curative therapy should be considered in select patients. When counseling patients, a useful way to convey the risk for death from competing causes is to estimate their lifetime risk for dying from prostate cancer. Double-decrement life tables were constructed to calculate age-specific death rates using the death probabilities from the Social Security Administration life tables and Gleason score-specific mortality rates reported from a pre-PSA cohort study. The lifetime risk for prostate cancer death was calculated. Life tables provided life expectancy and risk for prostate cancer death based on age at diagnosis. For example, a 60-year-old patient with a Gleason score 6, 7, or 8 tumor had an overall life expectancy of 14.4, 10.2, or 6.6 years, respectively. The risk for prostate cancer death during the expected years of life was 33%, 49%, or 57%, respectively. If a 10-year lead-time bias was assumed for PSA detection, the risks for death from prostate cancer decreased to 16%, 26%, or 37%, respectively. If the patient was in the bottom quartile for overall health and disease was detected by prostate examination, the risk for death from prostate cancer was 21%, 32%, or 40%, respectively. A Web-based tool for performing these calculations is available at http://www.roswellpark.org/Patient_Care/Specialized_Services/Prostate_Cancer_Estimator.html. Life tables can be created to estimate overall life expectancy and risk for prostate cancer death, and to assist with decision-making when considering management without curative therapy.

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Year:  2010        PMID: 20141675     DOI: 10.6004/jnccn.2010.0011

Source DB:  PubMed          Journal:  J Natl Compr Canc Netw        ISSN: 1540-1405            Impact factor:   11.908


  6 in total

Review 1.  A systematic literature review of life expectancy prediction tools for patients with localized prostate cancer.

Authors:  Matthew Kent; Andrew J Vickers
Journal:  J Urol       Date:  2014-11-15       Impact factor: 7.450

2.  Lifetime risk for cancer death by sex and smoking status: the lifetime risk pooling project.

Authors:  Andrew Gawron; Lifang Hou; Hongyan Ning; Jarett D Berry; Donald M Lloyd-Jones
Journal:  Cancer Causes Control       Date:  2012-07-24       Impact factor: 2.506

Review 3.  The implications of ageing and life expectancy in prostate cancer treatment.

Authors:  Sarathi Kalra; Spyridon Basourakos; Angela Abouassi; Mary Achim; Robert J Volk; Karen E Hoffman; John W Davis; Jeri Kim
Journal:  Nat Rev Urol       Date:  2016-03-22       Impact factor: 14.432

4.  Assessing the acceptability and usability of an interactive serious game in aiding treatment decisions for patients with localized prostate cancer.

Authors:  Lindsey Reichlin; Nithya Mani; Kara McArthur; Amy M Harris; Nithin Rajan; Clifford C Dacso
Journal:  J Med Internet Res       Date:  2011-01-12       Impact factor: 5.428

Review 5.  Decision Making in Older Adults With Cancer.

Authors:  Clark DuMontier; Kah Poh Loh; Enrique Soto-Perez-de-Celis; William Dale
Journal:  J Clin Oncol       Date:  2021-05-27       Impact factor: 50.717

6.  Successful external validation of a model to predict other cause mortality in localized prostate cancer.

Authors:  Matthew Kent; David F Penson; Peter C Albertsen; Michael Goodman; Ann S Hamilton; Janet L Stanford; Antoinette M Stroup; Behfar Ehdaie; Peter T Scardino; Andrew J Vickers
Journal:  BMC Med       Date:  2016-02-09       Impact factor: 8.775

  6 in total

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