H Brenner1, O Gefeller. 1. Department of Epidemiology, University of Ulm, Germany.
Abstract
BACKGROUND: Monitoring patient survival, a practice routinely employed by many cancer registries, is an essential component of the evaluation of progress against cancer. However, changes in prognosis over time are disclosed with considerable delay, with traditional methods of monitoring cumulative survival. METHODS: This article introduces an alternative approach, denoted "period monitoring." which aims at more timely detection of such changes. The conceptual background and the computational realization of the proposed method are outlined, and its application is illustrated by an empirical example from the population-based cancer registry of Saarland, Germany. RESULTS: The principle of period monitoring is shown to be analogous to the well established use of period life tables in the field of demography. Computational realization of period monitoring can be achieved with simple modifications of standard survival analysis techniques. Compared with traditional methods of monitoring survival, period monitoring can advance detection of changes in cumulative survival considerably. CONCLUSION: Despite some limitations with respect to the ease of data interpretation. period monitoring offers a useful supplement to existing methods of monitoring patient survival.
BACKGROUND: Monitoring patient survival, a practice routinely employed by many cancer registries, is an essential component of the evaluation of progress against cancer. However, changes in prognosis over time are disclosed with considerable delay, with traditional methods of monitoring cumulative survival. METHODS: This article introduces an alternative approach, denoted "period monitoring." which aims at more timely detection of such changes. The conceptual background and the computational realization of the proposed method are outlined, and its application is illustrated by an empirical example from the population-based cancer registry of Saarland, Germany. RESULTS: The principle of period monitoring is shown to be analogous to the well established use of period life tables in the field of demography. Computational realization of period monitoring can be achieved with simple modifications of standard survival analysis techniques. Compared with traditional methods of monitoring survival, period monitoring can advance detection of changes in cumulative survival considerably. CONCLUSION: Despite some limitations with respect to the ease of data interpretation. period monitoring offers a useful supplement to existing methods of monitoring patient survival.
Authors: Nicolas R Smoll; Oliver P Gautschi; Bawarjan Schatlo; Karl Schaller; Damien C Weber Journal: Neuro Oncol Date: 2012-07-06 Impact factor: 12.300
Authors: Saskia A M van de Schans; Liza N van Steenbergen; Jan Willem W Coebergh; Maryska L G Janssen-Heijnen; Dick Johan van Spronsen Journal: Haematologica Date: 2013-09-13 Impact factor: 9.941
Authors: Claudia Allemani; Tomohiro Matsuda; Veronica Di Carlo; Rhea Harewood; Melissa Matz; Maja Nikšić; Audrey Bonaventure; Mikhail Valkov; Christopher J Johnson; Jacques Estève; Olufemi J Ogunbiyi; Gulnar Azevedo E Silva; Wan-Qing Chen; Sultan Eser; Gerda Engholm; Charles A Stiller; Alain Monnereau; Ryan R Woods; Otto Visser; Gek Hsiang Lim; Joanne Aitken; Hannah K Weir; Michel P Coleman Journal: Lancet Date: 2018-01-31 Impact factor: 79.321
Authors: Michael G Brandel; Ali A Alattar; Brian R Hirshman; Xuezhi Dong; Kate T Carroll; Mir Amaan Ali; Bob S Carter; Clark C Chen Journal: J Neurooncol Date: 2017-04-24 Impact factor: 4.130
Authors: Michael C Otterstatter; James D Brierley; Prithwish De; Larry F Ellison; Maureen Macintyre; Loraine D Marrett; Robert Semenciw; Hannah K Weir Journal: Can J Gastroenterol Date: 2012-10 Impact factor: 3.522
Authors: Maria Theresa Redaniel; Adriano Laudico; Maria Rica Mirasol-Lumague; Adam Gondos; Gemma Uy; Hermann Brenner Journal: BMC Cancer Date: 2010-03-16 Impact factor: 4.430
Authors: Yiqun Chen; Zhenguo Qiu; Anmmd Kamruzzaman; Tom Snodgrass; Andrew Scarfe; Heather E Bryant Journal: Support Care Cancer Date: 2009-05-15 Impact factor: 3.603