Choosing the net survival method for cancer survival estimation.

Background A new net survival method has been introduced by Pohar Perme et al. (2012 [4]) and recommended to substitute the relative survival methods in current use for evaluating population-based cancer survival. Methods The new method is based on the use of continuous follow-up time, and is unbias...

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Publicado en:European Journal of Cancer Vol. 51; no. 9; pp. 1123 - 1130
Autores principales: Seppä, Karri, Hakulinen, Timo, Pokhrel, Arun
Formato: research Journal Article
Publicado: Pergamon Press - An Imprint of Elsevier Science Jun2015
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2015
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      pub: Pergamon Press - An Imprint of Elsevier Science
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        10.1016/j.ejca.2013.09.019
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        atl: Choosing the net survival method for cancer survival estimation.
      aug:
        au:
          Seppä, Karri
          Hakulinen, Timo
          Pokhrel, Arun
        affil: Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Pieni Roobertinkatu 9, FI-00130 Helsinki, Finland; Department of Mathematical Sciences, University of Oulu, Oulu, Finland
      sug:
        subj:
          Neoplasms Epidemiology
          Survival Analysis
          Human
          Finland
          Descriptive Statistics
      ab: Background A new net survival method has been introduced by Pohar Perme et al. (2012 [4]) and recommended to substitute the relative survival methods in current use for evaluating population-based cancer survival. Methods The new method is based on the use of continuous follow-up time, and is unbiased only under non-informative censoring of the observed survival. However, the population-based cancer survival is often evaluated based on annually or monthly tabulated follow-up intervals. An empirical investigation based on data from the Finnish Cancer Registry was made into the practical importance of the censoring and the level of data tabulation. A systematic comparison was made against the earlier recommended Ederer II method of relative survival using the two currently available computer programs (Pohar Perme (2013) [10] and Dickman et al. (2013) [11]). Results With exact or monthly tabulated data, the Pohar-Perme and the Ederer II methods give, on average, results that are at five years of follow-up less than 0.5% units and at 10 and 14 years 1–2% units apart from each other. The Pohar-Perme net survival estimator is prone to random variation and may result in biased estimates when exact follow-up times are not available or follow-up is incomplete. With annually tabulated follow-up times, estimates can deviate substantially from those based on more accurate observations, if the actuarial approach is not used. Conclusion At 5 years, both the methods perform well. In longer follow-up, the Pohar-Perme estimates should be interpreted with caution using error margins. The actuarial approach should be preferred, if data are annually tabulated.
      pubtype: Academic Journal
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        research
        Journal Article
      ougenre: Article
    language: English
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