Literature DB >> 19422045

Implications of incomplete registration of deaths on long-term survival estimates from population-based cancer registries.

Hermann Brenner1, Timo Hakulinen.   

Abstract

International comparison of population-based cancer survival is a key component of monitoring progress against cancer. Its validity depends to an unknown degree on completeness of ascertainment of deaths in the cancer registries involved which may vary according to legal and administrative circumstances. The aim of this study was to assess the impact of incomplete registration of deaths through various mechanisms on the validity of long-term absolute and relative survival estimates. For that purpose, we simulated underascertainment of deaths through linkage failure of registry data with death certificates with probabilities between 0.1 and 5%, and underascertainment of deaths by unregistered annual emigration with probabilities between 0.05 and 2%, using data from the Finnish Cancer Registry. The expected impact on estimates of 5-, 10- and 15-year absolute and relative survival was assessed. We demonstrate that even modest levels of under-registration of deaths may lead to severe overestimation of long-term survival estimates, ranging from 0 to 31 percent units in the scenarios assessed. In general, relative survival is much more affected than absolute survival, and potential problems are much larger for relative survival estimates in older compared with younger patients. Potential overestimation strongly increases with length of follow-up, and this increase is particularly pronounced for under-registration of deaths because of unrecorded emigration. Every effort should be made in cancer registry based survival analyses to ascertain deaths with close to 100% completeness. When such completeness cannot be achieved, long-term relative survival estimates and their comparison across populations must be interpreted with much caution. Copyright 2009 UICC.

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Year:  2009        PMID: 19422045     DOI: 10.1002/ijc.24344

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


  11 in total

1.  Provincial rates and time trends in pancreatic cancer outcomes.

Authors:  S Fung; T Forte; R Rahal; J Niu; H Bryant
Journal:  Curr Oncol       Date:  2013-10       Impact factor: 3.677

2.  The impact of National Death Index linkages on population-based cancer survival rates in the United States.

Authors:  Christopher J Johnson; Hannah K Weir; Aliza K Fink; Robert R German; Jack L Finch; Randi K Rycroft; Daixin Yin
Journal:  Cancer Epidemiol       Date:  2012-09-07       Impact factor: 2.984

3.  Evaluation of North American Association of Central Cancer Registries' (NAACCR) data for use in population-based cancer survival studies.

Authors:  Hannah K Weir; Christopher J Johnson; Angela B Mariotto; Donna Turner; Reda J Wilson; Diane Nishri; Kevin C Ward
Journal:  J Natl Cancer Inst Monogr       Date:  2014-11

4.  Progress in cancer survival, mortality, and incidence in seven high-income countries 1995-2014 (ICBP SURVMARK-2): a population-based study.

Authors:  Melina Arnold; Mark J Rutherford; Aude Bardot; Jacques Ferlay; Therese M-L Andersson; Tor Åge Myklebust; Hanna Tervonen; Vicky Thursfield; David Ransom; Lorraine Shack; Ryan R Woods; Donna Turner; Suzanne Leonfellner; Susan Ryan; Nathalie Saint-Jacques; Prithwish De; Carol McClure; Agnihotram V Ramanakumar; Heather Stuart-Panko; Gerda Engholm; Paul M Walsh; Christopher Jackson; Sally Vernon; Eileen Morgan; Anna Gavin; David S Morrison; Dyfed W Huws; Geoff Porter; John Butler; Heather Bryant; David C Currow; Sara Hiom; D Max Parkin; Peter Sasieni; Paul C Lambert; Bjørn Møller; Isabelle Soerjomataram; Freddie Bray
Journal:  Lancet Oncol       Date:  2019-09-11       Impact factor: 41.316

5.  Evidence against the proposition that "UK cancer survival statistics are misleading": simulation study with National Cancer Registry data.

Authors:  Laura M Woods; Michel P Coleman; Gill Lawrence; Jem Rashbass; Franco Berrino; Bernard Rachet
Journal:  BMJ       Date:  2011-06-09

Review 6.  Critical Points for Interpreting Patients' Survival Rate Using Cancer Registries: A Literature Review.

Authors:  Ayako Okuyama; Akiko Shibata; Hiroshi Nishimoto
Journal:  J Epidemiol       Date:  2017-10-28       Impact factor: 3.211

7.  Impact of loss-to-follow-up on cancer survival estimates for small populations: a simulation study using Hospital-Based Cancer Registries in Japan.

Authors:  Ayako Okuyama; Matthew Barclay; Cong Chen; Takahiro Higashi
Journal:  BMJ Open       Date:  2020-01-13       Impact factor: 2.692

8.  A comprehensive assessment of the impact of errors in the cancer registration process on 1- and 5-year relative survival estimates.

Authors:  M J Rutherford; H Møller; P C Lambert
Journal:  Br J Cancer       Date:  2013-01-29       Impact factor: 7.640

9.  Age-specific cancer survival in Estonia: recent trends and data quality.

Authors:  Kaire Innos; Katrin Lang; Kersti Pärna; Tiiu Aareleid
Journal:  Clin Epidemiol       Date:  2015-07-29       Impact factor: 4.790

Review 10.  Burden of gastrointestinal cancers and problem of the incomplete information; how to make up the data?

Authors:  Abdolhamid Sharifian; Mohamad Amin Pourhoseingholi; Ahmadreza Baghestani; Nastaran Hajizadeh; Sepideh Gholizadeh
Journal:  Gastroenterol Hepatol Bed Bench       Date:  2016
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