Literature DB >> 20676554

Correction for reported cervical cancer mortality data in Brazil, 1996-2005.

Carmen Justina Gamarra1, Joaquim Gonçalves Valente, Gulnar Azevedo e Silva.   

Abstract

OBJECTIVE: To develop a methodology for correction of reported cervical cancer deaths in Brazil.
METHODS: Data on 9,607,177 cancer deaths were obtained from the Brazilian National Mortality Database for the period between 1996 and 2005. For correction of underreporting of deaths, factors generated by the Global Burden of Disease Study in Brazil-1998 were used. Proportional distribution was used in order to correct the categories of unknown, incomplete or ill-defined death diagnosis. The corrections were applied to each Brazilian state and the results were presented for Brazil nationwide, macroregions, and geographical areas (capital, other cities of metropolitan areas and interior cities) as percent variability of cervical mortality rates before and after correction. Corrections were analyzed by multivariate linear regression with interaction terms between macroregion and geographical area.
RESULTS: After correction, cervical cancer mortality rates showed an increment of 103% nationwide, ranging between 35% (Southern region capitals) and 339% (Northeastern region interior cities). The reallocation of cervical cancer deaths not otherwise specified resulted in greater mortality rate increments. The percent correction by year of death revealed steady trends nationwide.
CONCLUSIONS: The study results showed that the proposed methodology was appropriate for the correction of cervical cancer mortality rates in Brazil. It evidenced that cervical cancer mortality is even higher than that reported.

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Year:  2010        PMID: 20676554     DOI: 10.1590/s0034-89102010000400006

Source DB:  PubMed          Journal:  Rev Saude Publica        ISSN: 0034-8910            Impact factor:   2.106


  6 in total

1.  Use of verbal autopsy in a national health information system: Effects of the investigation of ill-defined causes of death on proportional mortality due to injury in small municipalities in Brazil.

Authors:  Elisabeth França; Deise Campos; Mark Dc Guimarães; Maria de Fátima M Souza
Journal:  Popul Health Metr       Date:  2011-08-04

2.  Disparities in cervical and breast cancer mortality in Brazil.

Authors:  Vania Reis Girianelli; Carmen Justina Gamarra; Gulnar Azevedo e Silva
Journal:  Rev Saude Publica       Date:  2014-06       Impact factor: 2.106

3.  Cancer mortality in the Capitals and in the interior of Brazil: a four-decade analysis.

Authors:  Gulnar Azevedo E Silva; Beatriz Cordeiro Jardim; Vanessa de Melo Ferreira; Washington Leite Junger; Vania Reis Girianelli
Journal:  Rev Saude Publica       Date:  2020-12-04       Impact factor: 2.106

4.  Ill-defined causes of death in Brazil: a redistribution method based on the investigation of such causes.

Authors:  Elisabeth França; Renato Teixeira; Lenice Ishitani; Bruce Bartholow Duncan; Juan José Cortez-Escalante; Otaliba Libânio de Morais Neto; Célia Landman Szwarcwald
Journal:  Rev Saude Publica       Date:  2014-08       Impact factor: 2.106

5.  Cause-specific mortality for 249 causes in Brazil and states during 1990-2015: a systematic analysis for the global burden of disease study 2015.

Authors:  Elisabeth B França; Valéria Maria de Azeredo Passos; Deborah Carvalho Malta; Bruce B Duncan; Antonio Luiz P Ribeiro; Mark D C Guimarães; Daisy M X Abreu; Ana Maria N Vasconcelos; Mariângela Carneiro; Renato Teixeira; Paulo Camargos; Ana Paula S Melo; Bernardo L Queiroz; Maria Inês Schmidt; Lenice Ishitani; Roberto Marini Ladeira; Otaliba L Morais-Neto; Maria Tereza Bustamante-Teixeira; Maximiliano R Guerra; Isabela Bensenor; Paulo Lotufo; Meghan Mooney; Mohsen Naghavi
Journal:  Popul Health Metr       Date:  2017-11-22

6.  Inequalities in lung cancer mortality trends in Brazil, 2000-2015.

Authors:  Gisele Aparecida Fernandes; Fabrício Dos Santos Menezes; Luiz Felipe Silva; José Leopoldo Ferreira Antunes; Tatiana Natasha Toporcov
Journal:  Sci Rep       Date:  2020-11-05       Impact factor: 4.379

  6 in total

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