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Asian Pac J Cancer Prev ; 11(3): 735-8, 2010.
Artigo em Inglês | MEDLINE | ID: mdl-21039045

RESUMO

AIM: The quality of cancer registration is of great importance and the present study was conducted to assess the reliability of Kuwait Cancer Registry data on breast cancer. METHODS: Data from the clinical records extracted by a group of clinical oncologists for another study on 1,235 breast cancer cases diagnosed between 1999 and 2004 were used to audit the data held on these individuals by the Kuwait Cancer Registry (KCR). Only 902 cases met the eligibility criteria. Main measures were sex, nationality, laterality, morphology, stage of disease at time of admission to the center, type of treatment and status at last follow up (alive or dead). RESULTS: Full or high agreement between registry data and clinical oncologists collected data was recorded for sex, nationality and laterality. The rate of agreement for treatment with chemotherapy and status at last follow up was near perfect. Substantial agreement was also noted for morphology, tumor grade, TNM staging, surgical, radiotherapy and hormonal treatment. The majority of minor differences in morphology disagreements occurred when a more specific description was stated by registry staff, while major disagreement occurred due to difference in the codes used. CONCLUSIONS: The accuracy of the KCR data seems to be comparable to that found in reviews of other cancer registries. Stage was the hardest variable for the registry to collect accurate information on. KCR data could be improved by improving the quality of information provided to the registry.


Assuntos
Neoplasias da Mama/terapia , Carcinoma Ductal de Mama/terapia , Carcinoma Lobular/terapia , Carcinoma Medular/terapia , Médicos , Sistema de Registros/normas , Neoplasias da Mama/classificação , Neoplasias da Mama/diagnóstico , Carcinoma Ductal de Mama/classificação , Carcinoma Ductal de Mama/diagnóstico , Carcinoma Lobular/classificação , Carcinoma Lobular/diagnóstico , Carcinoma Medular/classificação , Carcinoma Medular/diagnóstico , Coleta de Dados , Feminino , Humanos , Masculino
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