Literature DB >> 16630713

Updating long-term childhood cancer survival trend with period and mixed analysis: good news from population-based estimates in Italy.

Luisa Zuccolo1, Elisa Dama, Milena Maria Maule, Guido Pastore, Franco Merletti, Corrado Magnani.   

Abstract

An empirical evaluation of long-term period survival analysis was performed using data from the Childhood Cancer Registry of Piedmont, Italy. The aim was to update survival time trends and provide 25-year projections for children currently diagnosed with cancer. The observed survival experiences up to 15 years after diagnosis of five quinquennial cohorts (cohort analysis) were compared to the corresponding estimates obtained by period analysis. The two methods generally produced very similar findings, although period analysis estimates were slightly lower than those obtained from cohort analysis. We then used mixed analysis to assess time trends in long-term survival. This showed that the probability of surviving 25 years after a cancer in childhood has more than doubled compared to cohort analysis estimates from patients diagnosed more than 25 years ago (73% vs. 32%), providing further evidence of an ongoing improvement in prognosis.

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Year:  2006        PMID: 16630713     DOI: 10.1016/j.ejca.2005.08.046

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  2 in total

1.  Population-based survival estimates for childhood cancer in Australia during the period 1997-2006.

Authors:  P D Baade; D R Youlden; P C Valery; T Hassall; L Ward; A C Green; J F Aitken
Journal:  Br J Cancer       Date:  2010-11-09       Impact factor: 7.640

2.  Long-term survival and conditional survival of cancer patients in Japan using population-based cancer registry data.

Authors:  Yuri Ito; Isao Miyashiro; Hidemi Ito; Satoyo Hosono; Dai Chihara; Kayo Nakata-Yamada; Masashi Nakayama; Masashi Matsuzaka; Masakazu Hattori; Hiromi Sugiyama; Isao Oze; Rina Tanaka; Etsuko Nomura; Yoshikazu Nishino; Tomohiro Matsuda; Akiko Ioka; Hideaki Tsukuma; Tomio Nakayama
Journal:  Cancer Sci       Date:  2014-10-18       Impact factor: 6.716

  2 in total

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