Literature DB >> 10665853

Correcting the completeness bias of observed prevalence.

I Corazziari1, A Mariotto, R Capocaccia.   

Abstract

AIMS AND
BACKGROUND: The cancer prevalence in given areas can be estimated on the basis of data supplied by cancer registries. As the obtained estimate of prevalence depends on the length of the cancer registry's observation period, it is generally lower than the total prevalence in the considered area. In the present work we propose a method to calculate a correction factor of this bias in order to obtain an approximation to the total prevalence. METHODS & STUDY
DESIGN: The method is based on the relationship between relative survival and incidence by age for a specific cancer site. RESULTS AND
CONCLUSIONS: We provide values of the correction factor, the completeness index R, relative to the most important cancer sites, for specific ages and periods of observation of the cancer registries in Italy. In addition, we provide indications for extended use of the index when substantial variations from the basic pattern of relative survival are observed in practical situations. Furthermore, we give helpful suggestions to obtain approximate values of the correction factor to be used for ages and periods of observation that are intermediate between the ones presented in this paper.

Entities:  

Mesh:

Year:  1999        PMID: 10665853     DOI: 10.1177/030089169908500503

Source DB:  PubMed          Journal:  Tumori        ISSN: 0300-8916


  2 in total

1.  Getting cancer prevalence right: using state cancer registry data to estimate cancer survivors.

Authors:  William R Carpenter; Wei-Shi Yeh; Sara E Wobker; Paul A Godley
Journal:  Cancer Causes Control       Date:  2011-03-01       Impact factor: 2.506

2.  Comparison of non-myeloablative conditioning regimens for lymphoproliferative disorders.

Authors:  S Hong; J Le-Rademacher; A Artz; P L McCarthy; B R Logan; M C Pasquini
Journal:  Bone Marrow Transplant       Date:  2014-12-01       Impact factor: 5.483

  2 in total

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