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The impact of excluding or including Death Certificate Initiated (DCI) cases on estimated cancer survival: A simulation study.
Andersson, Therese M-L; Myklebust, Tor Åge; Rutherford, Mark J; Møller, Bjørn; Soerjomataram, Isabelle; Arnold, Melina; Bray, Freddie; Parkin, D Max; Sasieni, Peter; Bucher, Oliver; De, Prithwish; Engholm, Gerda; Gavin, Anna; Little, Alana; Porter, Geoff; Ramanakumar, Agnihotram V; Saint-Jacques, Nathalie; Walsh, Paul M; Woods, Ryan R; Lambert, Paul C.
Afiliação
  • Andersson TM; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. Electronic address: therese.m-l.andersson@ki.se.
  • Myklebust TÅ; Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway; Department of Research and Innovation, Møre and Romsdal Hospital Trust, Ålesund, Norway.
  • Rutherford MJ; Department of Health Sciences, University of Leicester, Leicester, United Kingdom; Cancer Surveillance Section, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
  • Møller B; Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway.
  • Soerjomataram I; Cancer Surveillance Section, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
  • Arnold M; Cancer Surveillance Section, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
  • Bray F; Cancer Surveillance Section, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
  • Parkin DM; Cancer Surveillance Section, International Agency for Research on Cancer (IARC/WHO), Lyon, France; Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
  • Sasieni P; King's College London, Clinical Trials Unit, London, United Kingdom.
  • Bucher O; Department of Epidemiology and Cancer Registry, CancerCare Manitoba, Winnipeg, MB, Canada.
  • De P; Analytics and Informatics, Ontario Health (Cancer Care Ontario), Toronto, Ontario, Canada.
  • Engholm G; Surveillance and Pharmacoepidemiology, Danish Cancer Society Research Center, Copenhagen, Denmark.
  • Gavin A; Northern Ireland Cancer Registry, Queen's University Belfast, Northern Ireland, United Kingdom.
  • Little A; Cancer Institute NSW, Alexandria, NSW, Australia.
  • Porter G; Canadian Partnership Against Cancer, Toronto, Ontario, Canada.
  • Ramanakumar AV; Research-Institute, McGill University Health Center, Montreal, Quebec, Canada.
  • Saint-Jacques N; Nova Scotia Health Cancer Care Program, Registry & Analytics, Halifax, Nova Scotia, Canada.
  • Walsh PM; National Cancer Registry Ireland, Cork, Ireland.
  • Woods RR; Cancer Control Research, BC Cancer, Vancouver, British Columbia, Canada.
  • Lambert PC; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Department of Health Sciences, University of Leicester, Leicester, United Kingdom.
Cancer Epidemiol ; 71(Pt A): 101881, 2021 04.
Article em En | MEDLINE | ID: mdl-33440295
ABSTRACT

BACKGROUND:

Population-based cancer registries strive to cover all cancer cases diagnosed within the population, but some cases will always be missed and no register is 100 % complete. Many cancer registries use death certificates to identify additional cases not captured through other routine sources, to hopefully add a large proportion of the missed cases. Cases notified through this route, who would not have been captured without death certificate information, are referred to as Death Certificate Initiated (DCI) cases. Inclusion of DCI cases in cancer registries increases completeness and is important for estimating cancer incidence. However, inclusion of DCI cases will generally lead to biased estimates of cancer survival, but the same is often also true if excluding DCI cases. Missed cases are probably not a random sample of all cancer cases, but rather cases with poor prognosis. Further, DCI cases have poorer prognosis than missed cases in general, since they have all died with cancer mentioned on the death certificates.

METHODS:

We performed a simulation study to estimate the impact of including or excluding DCI cases on cancer survival estimates, under different scenarios.

RESULTS:

We demonstrated that including DCI cases underestimates survival. The exclusion of DCI cases gives unbiased survival estimates if missed cases are a random sample of all cancer cases, while survival is overestimated if these have poorer prognosis.

CONCLUSION:

In our most extreme scenarios, with 25 % of cases initially missed, the usual practice of including DCI cases underestimated 5-year survival by at most 3 percentage points.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Atestado de Óbito / Neoplasias Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Atestado de Óbito / Neoplasias Idioma: En Ano de publicação: 2021 Tipo de documento: Article