Literature DB >> 22927104

Proportion cured models applied to 23 cancer sites in Norway.

Milada Cvancarova1, Bjarte Aagnes, Sophie D Fosså, Paul C Lambert, Bjørn Møller, Freddie Bray.   

Abstract

Statistical cure is reached when a group of patients has the same mortality as cancer-free individuals. Cure models predict the cured proportion and the median survival of fatal cases. Cure models have seldom been applied and tested systematically across all major cancer sites. Incidence and follow-up data on 23 cancer sites recorded at the Cancer Registry of Norway 1963-2007 were obtained. Mixture cure models were fitted to obtain trends and up-to-date estimates (based on period approach) assuming cured and uncured groups exist. The model converged for cancers of the mouth and pharynx, oesophagus, stomach, colon, rectum, liver, gallbladder, pancreas, lung and trachea, ovary, kidney, bladder, CNS, non-Hodgkin lymphoma (only for males) and leukemia. The proportion of cured patients increased 1963-2002 for both sexes, with the largest changes (in percent) seen for leukemia (46.4 and 46.7) and CNS (35.9, 42.0), males given first. Median survival time for the uncured cases increased for colon and rectal cancer, and there was a three- fold increase in median survival time for patients with fatal ovarian cancers. Cancers of bladder and CNS had the highest up-to-date proportion cured (in percent), 67.4 and 64.0, respectively, pancreas and liver were amongst the lowest (5.7 and 9.9, respectively). Cure models are useful when monitoring progress in cancer care, but must be applied and interpreted with caution. The absolute estimates of the cure proportion are speculative and should not be calculated where cure is not medically anticipated.
Copyright © 2012 UICC.

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Year:  2012        PMID: 22927104     DOI: 10.1002/ijc.27802

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  7 in total

1.  A cure model survival analysis of patients affected by small intestinal neuroendocrine neoplasms: the Bologna ENETS center experience.

Authors:  Claudio Ricci; Davide Campana; Chiara Casadei; Carlo Ingaldi; Valentina Ambrosini; Nico Pagano; Donatella Santini; Cristina Mosconi; Nicole Brighi; Laura Alberici; Francesco Minni; Riccardo Casadei
Journal:  Endocrine       Date:  2019-02-22       Impact factor: 3.633

2.  Defining the Chance of Statistical Cure Among Patients with Extrahepatic Biliary Tract Cancer.

Authors:  Gaya Spolverato; Fabio Bagante; Cecilia G Ethun; George Poultsides; Thuy Tran; Kamran Idrees; Chelsea A Isom; Ryan C Fields; Bradley Krasnick; Emily Winslow; Clifford Cho; Robert C G Martin; Charles R Scoggins; Perry Shen; Harveshp D Mogal; Carl Schmidt; Eliza Beal; Ioannis Hatzaras; Rivfka Shenoy; Shishir K Maithel; Timothy M Pawlik
Journal:  World J Surg       Date:  2017-01       Impact factor: 3.352

3.  Mixture Cure Models in Oncology: A Tutorial and Practical Guidance.

Authors:  Federico Felizzi; Noman Paracha; Johannes Pöhlmann; Joshua Ray
Journal:  Pharmacoecon Open       Date:  2021-02-26

4.  Long-term survival, prevalence, and cure of cancer: a population-based estimation for 818 902 Italian patients and 26 cancer types.

Authors:  L Dal Maso; S Guzzinati; C Buzzoni; R Capocaccia; D Serraino; A Caldarella; A P Dei Tos; F Falcini; M Autelitano; G Masanotti; S Ferretti; F Tisano; U Tirelli; E Crocetti; R De Angelis; S Virdone; A Zucchetto; A Gigli; S Francisci; P Baili; G Gatta; M Castaing; R Zanetti; P Contiero; E Bidoli; M Vercelli; M Michiara; M Federico; G Senatore; F Pannozzo; M Vicentini; A Bulatko; D R Pirino; M Gentilini; M Fusco; A Giacomin; A C Fanetti; R Cusimano
Journal:  Ann Oncol       Date:  2014-08-22       Impact factor: 32.976

5.  Prognosis and cure of long-term cancer survivors: A population-based estimation.

Authors:  Luigino Dal Maso; Chiara Panato; Stefano Guzzinati; Diego Serraino; Silvia Francisci; Laura Botta; Riccardo Capocaccia; Andrea Tavilla; Anna Gigli; Emanuele Crocetti; Massimo Rugge; Giovanna Tagliabue; Rosa Angela Filiberti; Giuliano Carrozzi; Maria Michiara; Stefano Ferretti; Rosaria Cesaraccio; Rosario Tumino; Fabio Falcini; Fabrizio Stracci; Antonietta Torrisi; Guido Mazzoleni; Mario Fusco; Stefano Rosso; Francesco Tisano; Anna Clara Fanetti; Giovanna Maria Sini; Carlotta Buzzoni; Roberta De Angelis
Journal:  Cancer Med       Date:  2019-06-17       Impact factor: 4.452

6.  The relative survival and cure fraction of gastric cancer estimated through flexible parametric models using data from population-based cancer registration during 2003-2012 in Linzhou, China.

Authors:  Qiong Chen; Shu-Zheng Liu; Shao-Kai Zhang; Xiao-Qin Cao; Bian-Yun Li; Pei-Liang Quan; Lan-Wei Guo; Lee Dong; Xi-Bin Sun; Yawei Zhang; Jian-Gong Zhang
Journal:  Cancer Med       Date:  2020-01-28       Impact factor: 4.452

7.  XRCC3 Thr241Met and TYMS variable number tandem repeat polymorphisms are associated with time-to-metastasis in colorectal cancer.

Authors:  Yanjing He; Michelle E Penney; Amit A Negandhi; Patrick S Parfrey; Sevtap Savas; Yildiz E Yilmaz
Journal:  PLoS One       Date:  2018-02-02       Impact factor: 3.240

  7 in total

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