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Completeness Estimation of the Population-based Cancer Registration with Capture-Recapture Methods / 예방의학회지
Korean Journal of Preventive Medicine ; : 31-35, 2000.
Artigo em Coreano | WPRIM | ID: wpr-198824
ABSTRACT

OBJECTIVES:

This study aimed to estimate the completeness of cancer registration with Capture-recapture method.

METHODS:

The study was conducted in the population based cancer registry of Kwangju, Korea, for which there are three main sources of notification reports by Korean Central Cancer Registry, reports by pathology data, and the others reports by radiology data, death certificates, etc. The defined cases in three sources were matched by 13 digits Resident Register Number. To derive an estimates, log-linear models were applicated.

RESULTS:

Overall completeness was estimated to be around 93%. There was some variation with age(consistently high levels below age group 60-74 years, a minimum of 88.6% above 75 years). Among the most common cancer sites, estimates of completeness were highest for thyroid cancer(97.1%), while lower estimates of completeness were derived for stomach cancer(92.3%), liver cancer(92.6%).

CONCLUSIONS:

Careful application of Capture-recapture method may provide an alternative to traditional approaches for estimating the completeness of cancer registration in Kwangju city.
Assuntos

Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Assunto principal: Patologia / Estômago / Glândula Tireoide / Modelos Lineares / Atestado de Óbito / Coreia (Geográfico) / Fígado Limite: Humanos País/Região como assunto: Ásia Idioma: Coreano Revista: Korean Journal of Preventive Medicine Ano de publicação: 2000 Tipo de documento: Artigo

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Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Assunto principal: Patologia / Estômago / Glândula Tireoide / Modelos Lineares / Atestado de Óbito / Coreia (Geográfico) / Fígado Limite: Humanos País/Região como assunto: Ásia Idioma: Coreano Revista: Korean Journal of Preventive Medicine Ano de publicação: 2000 Tipo de documento: Artigo