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Trends in the incidence of colorectal cancer in Greater Cuiabá, Mato Grosso (Brazil), from 2000 to 2016

ABSTRACT:

Objective:

To analyze the temporal incidence trend of colorectal cancer (CRC), according to sex and age, in the Greater Cuiabá, Mato Grosso, Brazil, from 2000 to 2016.

Methods:

Ecological time series study, with cases of CRC (C18 to C21) diagnosed from 2000 to 2016, of residents of the Greater Cuiabá (Cuiabá and Várzea Grande), in Mato Grosso. The information on the cases was obtained from the Population-Based Cancer Registry and population data from the Brazilian Institute of Geography and Statistics (IBGE). The rates were adjusted by world population. The age groups considered ranged from 30 to 39 years, 40 to 49 years, 50 to 59 years, 60 to 69 years, 70 to 79 years and 80 years and older. Joinpoint regression was used to analyze the trend of incidence.

Results:

A total of 1,715 cases of CRC were registered with information on sex and age, with an adjusted rate of 16.4 new cases/100,000 men and 16.1 new cases/100,000 women. Men presented trend of increasing incidence rates in the age group of 70 to 79 years, with increase of 4.0% per year, while women presented trend of increase in the age group 50 to 59 years, with increase of 2.7% per year.

Conclusion:

Older men showed a more significant trend towards an increase in the incidence of CRC, but in women this occurred in a younger age group, highlighting the importance of considering age related information in the analyzes of occurrence of the disease in this population.

Keywords:
Time series studies; Colorectal neoplasms; Demographic data; Regression analysis

RESUMO:

Objetivo:

Analisar a tendência temporal da incidência do câncer colorretal (CCR) segundo sexo e faixa etária, na Grande Cuiabá, Mato Grosso (Brasil), de 2000 a 2016.

Métodos:

Estudo ecológico de séries temporais, com casos de CCR (C18 a C21) diagnosticados de 2000 a 2016 em residentes da Grande Cuiabá (Cuiabá e Várzea Grande), em Mato Grosso. As informações dos casos foram provenientes do Registro de Câncer de Base Populacional e os dados populacionais do Instituto Brasileiro de Geografia e Estatística. As taxas foram ajustadas pela população mundial. Consideraram-se as faixas etárias de 30 a 39 anos, 40 a 49 anos, 50 a 59 anos, 60 a 69 anos, 70 a 79 anos e 80 anos ou mais. Para análise da tendência temporal da incidência, empregou-se a regressão por joinpoint.

Resultados:

Foram registrados 1.715 casos de CCR com informação de sexo e idade, com taxa ajustada de 16,4 casos novos/100 mil homens e 16,1 casos novos/100 mil mulheres. Os homens apresentaram tendência temporal de aumento das taxas de incidência na faixa etária de 70 a 79 anos, com acréscimo de 4,0% ao ano, e as mulheres apresentaram tendência temporal de aumento na faixa etária de 50 a 59 anos, com acréscimo de 2,7% ao ano.

Conclusão:

Os homens mais velhos apresentaram tendência temporal de aumento da incidência de CCR de forma mais expressiva, porém nas mulheres isso ocorreu em faixa etária mais jovem, ressaltando a importância de considerar a informação sobre a idade nas análises sobre a ocorrência da doença nessa população.

Palavras-chave:
Estudos de séries temporais; Neoplasias colorretais; Dados demográficos; Análise de regressão

INTRODUCTION

Chronic non-communicable diseases have constituted a public health issue of great magnitude due to its high economic burden on health services and society as a whole, to deaths and early disability. Among these diseases, cancer stands out, which has a direct impact on the population’s quality of life11 World Health Organization. Global status report on noncommunicable diseases 2010. Geneva: World Health Organization; 2011. Available at: https://apps.who.int/iris/bitstream/handle/10665/44579/9789240686458_eng.pdf?sequence=1&isAllowed=y
https://apps.who.int/iris/bitstream/hand...
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The International Agency for Research on Cancer (IARC) estimates that, globally, one in five people will develop cancer in their lifetime and that one in eight men and one in 11 women will die from the disease. As for survival, these estimates suggest that within a period of up to five years after a cancer diagnosis, 50 million people will be alive22 International Agency for Research on Cancer. GLOBOCAN 2020: new global cancer data [Internet]. 2020 [cited on Mat 8, 2021]. Available at: https://www.uicc.org/news/globocan-2020-new-global-cancer-data
https://www.uicc.org/news/globocan-2020-...
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Considering colorectal cancer (CRC), it is known that the incidence and mortality of the disease are decreasing in some developed countries (Iceland, Australia, New Zealand, Japan). In developing countries, these rates have been increasing, and Brazil is one of the countries that have shown an increase in both incidence and mortality from CRC, especially among men33 Arnold M, Sierra MS, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global patterns and trends in colorectal cancer incidence and mortality. Gut 2017; 66(4): 683-91. http://doi.org/10.1136/gutjnl-2015-310912
http://doi.org/10.1136/gutjnl-2015-31091...
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In the country, in 2014, 15,070 new cases of colon and rectal cancer were estimated in men and 17,530 in women, corresponding to a crude rate of 15.44 new cases/100,000 men and 17.24/100,000 women44 Instituto Nacional de Câncer José Alencar Gomes da Silva. Coordenação de Prevenção e Vigilância. Estimativa 2014: incidência de câncer no Brasil. Rio de Janeiro: INCA; 2014. Available at: https://www.inca.gov.br/bvscontrolecancer/publicacoes/Estimativa_2014.pdf
https://www.inca.gov.br/bvscontrolecance...
. For the year of 2020, 20,520 cases of these cancers are estimated in men and 20,470 in women, corresponding to a crude rate of 19.63 new cases/100,000 men and 19.03/100,000 women55 Instituto Nacional de Câncer José Alencar Gomes da Silva. Estimativa 2020: incidência de câncer no Brasil. Rio de Janeiro: INCA; 2019. Available at: https://www.inca.gov.br/sites/ufu.sti.inca.local/files//media/document//estimativa-2020-incidencia-de-cancer-no-brasil.pdf
https://www.inca.gov.br/sites/ufu.sti.in...
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According to data from the National Cancer Institute, for the state of Mato Grosso there was an increase in estimates of the crude incidence rate of this neoplasm. In 2014, the rate was 7.86 cases/100,000 men and 9.07 cases/100,000 women, and in 2002, 8.64 cases/100,000 men and 10.58 cases/100,000 women. For Cuiabá (MT), the opposite behavior was registered for this period, going from 11.32 to 7.51 cases/100,000 men and from 13.59 to 13.09 cases/100,000 women44 Instituto Nacional de Câncer José Alencar Gomes da Silva. Coordenação de Prevenção e Vigilância. Estimativa 2014: incidência de câncer no Brasil. Rio de Janeiro: INCA; 2014. Available at: https://www.inca.gov.br/bvscontrolecancer/publicacoes/Estimativa_2014.pdf
https://www.inca.gov.br/bvscontrolecance...
,55 Instituto Nacional de Câncer José Alencar Gomes da Silva. Estimativa 2020: incidência de câncer no Brasil. Rio de Janeiro: INCA; 2019. Available at: https://www.inca.gov.br/sites/ufu.sti.inca.local/files//media/document//estimativa-2020-incidencia-de-cancer-no-brasil.pdf
https://www.inca.gov.br/sites/ufu.sti.in...
, with women from the capital presenting values higher than those of the state as a whole.

According to Santos et al.66 Santos AP, Cardoza LMS, Sibim AC, Gamarra CJ. Tendência da mortalidade por câncer colorretal no estado do Paraná e no município de Foz do Iguaçu, 1980 a 2013. Rev Bras Cancerol 2017; 63(2): 87-93. https://doi.org/10.32635/2176-9745.RBC.2017v63n2.138
https://doi.org/10.32635/2176-9745.RBC.2...
, “the finding of an increase in CRC incidence and mortality in Brazil highlights the importance of controlling this cancer, especially in a context of demographic transition (population aging), epidemiological transition (changes in risk patterns) and weaknesses in the health systems”.

Knowledge of the distribution and magnitude of the population cancer is an important factor for planning, research and disease control programs. Thus, the objective of this study is to analyze the temporal trend of CRC incidence according to sex and age group in the Greater Cuiabá, in the state of Mato Grosso, from 2000 to 2016.

METHODS

This is an ecological time series study of CRC incidence, considering cases diagnosed from 2000 to 2016 in residents of the Greater Cuiabá, Mato Grosso.

The Greater Cuiabá is made up of the cities of Cuiabá and Várzea Grande. Cuiabá has a territorial area of 3,291,696 km2, and Várzea Grande of 724,279 km2. In 2000, the estimated population of Greater Cuiabá was 698,644 inhabitants, concentrating 27.9% of the entire population of the state, and in 2010 it was 803,694 inhabitants (26.5%). These two cities are the ones with the largest populations in Mato Grosso77 Brasil. Ministério da Saúde. Portal da Saúde. DATASUS. Informações de Saúde (TABNET). Demográficas e Socioeconômicas [Internet]. 2021 [cited on Feb 25, 2021]. Available at: https://datasus.saude.gov.br/populacao-residente
https://datasus.saude.gov.br/populacao-r...
. Data from the 2010 census revealed that Cuiabá had, in that year, an illiteracy rate of 4.5%, a proportion of people with low income (less than 0.5 minimum wage) of 20.0% and an average household income per capita of 1,124.88 reais88 Instituto Brasileiro de Geografia e Estatística. Censo demográfico 2010: características da população e dos domicílios - resultados do universo [Internet]. 2010 [cited on Jan 27, 2021]. Available at: https://biblioteca.ibge.gov.br/index.php/biblioteca-catalogo?view=detalhes&id=793
https://biblioteca.ibge.gov.br/index.php...
. For Várzea Grande, these values were, respectively, 5.5%, 27.3% and 635.21 reais77 Brasil. Ministério da Saúde. Portal da Saúde. DATASUS. Informações de Saúde (TABNET). Demográficas e Socioeconômicas [Internet]. 2021 [cited on Feb 25, 2021]. Available at: https://datasus.saude.gov.br/populacao-residente
https://datasus.saude.gov.br/populacao-r...
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The database with information on the number of true cases (incidents) and other variables of interest was exported from the Population-Based Cancer Registry (PBCR) of Cuiabá (which includes data from Cuiabá and Várzea Grande) by an authorized technician, to subsequent calculation of the incidences. The PBCR are systematized centers for the collection, storage and analysis of the occurrence and characteristics of new cancer cases, with the objective of knowing the distribution and temporal trend of the disease in the population belonging to the geographical coverage area99 Instituto Nacional de Câncer. Registros de câncer de base populacional [Internet]. 2021 [cited on Apr 26, 2021]. Available at: https://www.inca.gov.br/numeros-de-cancer/registro-de-cancer-de-base-populacional
https://www.inca.gov.br/numeros-de-cance...
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One of the purposes of the registry is to provide data for the production of reliable statistics. Among the indicators that can be used to verify the validity of its data, there is the proportion of cases with histological verification of the diagnosis and the proportion of cases registered only with information from the death certificate (DCO)1010 Instituto Nacional de Câncer José Alencar Gomes da Silva. Coordenação-Geral de Prevenção e Vigilância. Divisão de Vigilância e Análise da Situação. Manual de rotinas e procedimentos para registros de câncer de base populacional. 2a ed. Rio de Janeiro: INCA; 2012. Available at: https://www.inca.gov.br/sites/ufu.sti.inca.local/files//media/document//manual-de-rotinas-e-procedimentos-para-registros-de-cancer-de-base-populacional.pdf
https://www.inca.gov.br/sites/ufu.sti.in...
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The analysis of these two indicators in the PBCR-Cuiabá showed that the proportion of histological verification in the analyzed period for CRC ranged from 76.6% (2016) to 95.0% (2005) for males and from 77.8% (2013) to 95.0% (2001) for females, while the proportion of DCO for these values ranged from 3.3% (2005) to 15.6% (2015) and from 0% (2005 and 2010) to 19.8% (2013), respectively. Although the null percentage for the DCO indicates the need to review the death certificate cases, these values meet IARC standards1111 Curado MP, Edwards B, Shin HR, Storm H, Ferlay J, Heanue M, et al. Cancer incidence in five continents, vol. IX. Lyon: IARC Scientific Publications; 2007. Available at: https://publications.iarc.fr/Book-And-Report-Series/Iarc-Scientific-Publications/Cancer-Incidence-In-Five-Continents-Volume-IX-2007
https://publications.iarc.fr/Book-And-Re...
. Even so, one of the limiting factors regarding the use of PBCR is the lack of current data on the occurrence of new cases of the disease in the population that the registry serves.

For the identification of CRC cases, the following codes registered according to the 10th edition of the International Statistical Classification of Diseases and Related Health Problems were considered: C18 (malignant neoplasm of the colon), C19 (malignant neoplasm of the rectosigmoid junction), C20 (malignant neoplasm of rectum) and C21 (malignant neoplasm of anus and anal canal)55 Instituto Nacional de Câncer José Alencar Gomes da Silva. Estimativa 2020: incidência de câncer no Brasil. Rio de Janeiro: INCA; 2019. Available at: https://www.inca.gov.br/sites/ufu.sti.inca.local/files//media/document//estimativa-2020-incidencia-de-cancer-no-brasil.pdf
https://www.inca.gov.br/sites/ufu.sti.in...
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Incidence rates were calculated with the numerator as the number of cases of the disease and the denominator as the total number of inhabitants of the population of interest (estimates from IBGE) for each year of the study, presented per 100,000 inhabitants and estimated by sex (male and female) and age group (30 to 39 years, 40 to 49 years, 50 to 59 years, 60 to 69 years, 70 to 79 years and 80 years and older). The rates were adjusted by age group using the direct method, using the standard world population1212 Segi M. Cancer mortality for select sites in 24 countries (1950-1957). Sendai: Department of Public Health/Tohoku University of Medicine; 1960.,1313 Doll R. Comparison between registries and age-standardized rates. In: Waterhouse JA, Muir CS, Correa P, Powell J, editors. Cancer incidence in five continents. Lyon: IARC; 1966. p. 453-9.. Eleven cases of unknown age, three cases of unknown gender and 39 cases aged less than 30 years old were excluded because they did not occur for both sexes for all years of the study.

To analyze the temporal trend of CRC incidence, regression models were estimated using the Joinpoint Trend Analysis program, version 4.7.0.01414 National Cancer Institute. Division of Cancer Control & Population Sciences. Surveillance Research Program. Joinpoint Trend Analysis Software [Internet]. 2020 [cited on 24 nov. 2020]. Available at: https://surveillance.cancer.gov/joinpoint/
https://surveillance.cancer.gov/joinpoin...
, allowing it to verify if in some points (joinpoints) there were significant alterations of the observed trend pattern. It has the advantage of being able to test whether several fragments of the line better explain a trend in time than a single line, but it is not applicable when there are no observations at some point in the historical series. For the analysis, the logarithmic transformation of the incidences was considered as the dependent variable and the years of study as the independent variable1515 Kim HJ, Fay MP, Feuer EJ, Midthune DN. Permutation tests for joinpoint regression with application to cancer rates. Stat Med 2000; 19(3): 335-51. https://doi.org/10.1002/(sici)1097-0258(20000215)19:3<335::aid-sim336>3.0.co;2-z
https://doi.org/10.1002/(sici)1097-0258(...
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To fit the models, the joinpoint regression analysis uses Monte Carlo permutation tests, assuming a different number of temporal trend modification points, from zero (in which case the trend is represented by a single line segment) to a maximum number that was desired, taking into account the number of observations. The model chosen was the one with the highest number of points that maintained statistical significance (p<0.05)1515 Kim HJ, Fay MP, Feuer EJ, Midthune DN. Permutation tests for joinpoint regression with application to cancer rates. Stat Med 2000; 19(3): 335-51. https://doi.org/10.1002/(sici)1097-0258(20000215)19:3<335::aid-sim336>3.0.co;2-z
https://doi.org/10.1002/(sici)1097-0258(...
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When the model was defined, the annual percentage change (APC) and the average annual percentage change (AAPC) for each segment were calculated (with their respective confidence intervals) and used to describe and quantify the temporal trend and assess whether it was statistically significant (p<0.05). In this situation, the null hypothesis is APC or AAPC=0, that is, the incidences are not varying significantly, either up or down1515 Kim HJ, Fay MP, Feuer EJ, Midthune DN. Permutation tests for joinpoint regression with application to cancer rates. Stat Med 2000; 19(3): 335-51. https://doi.org/10.1002/(sici)1097-0258(20000215)19:3<335::aid-sim336>3.0.co;2-z
https://doi.org/10.1002/(sici)1097-0258(...
,1616 Clegg LX, Hankey BF, Tiwari R, Feuer EJ, Edwards BK. Estimating average annual per cent change in trend analysis. Stat Med 2009; 28(29): 3670-82. https://doi.org/10.1002/sim.3733
https://doi.org/10.1002/sim.3733...
. It is noteworthy that the APC informs about the direction and magnitude of the results of the temporal trends for each fragment of the straight line, while the AAPC is estimated by calculating the weighted geometric mean of the different APCs, that is, considering the entire period, with equal weight to the segment size for each interval of time. When the phenomenon can be described by only one straight line, the APC and AAPC values will be the same1616 Clegg LX, Hankey BF, Tiwari R, Feuer EJ, Edwards BK. Estimating average annual per cent change in trend analysis. Stat Med 2009; 28(29): 3670-82. https://doi.org/10.1002/sim.3733
https://doi.org/10.1002/sim.3733...
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The results are presented in absolute numbers (number of cases), proportions, rates and variations over the time analyzed.

RESULTS

In the period from 2000 to 2016, 1,715 CRC cases with information on gender and age were recorded, 53.1% of which were female. In both sexes, there was also a higher proportion of cases in the age groups 50 to 59 years and 60 to 69 years, which together accounted for at least 50% of all the cases (Table 1).

Table 1
New cases (absolute number and proportion), crude and adjusted rates of colorectal cancer (per 100,000 inhabitants) by sex and age group, Greater Cuiabá (MT), Brazil, 2000 to 2016.

Females had a crude CRC incidence rate slightly higher than males (29.3 cases/100,000 inhabitants females and 27.8 cases/100,000 men, respectively). Crude rates increased with increased age, especially in the 70-79 age groups and 80 years or older, for both sexes, with the latter age group having a 25.9 times higher CRC incidence rate than the first category for males. For females, this value was 23.7 times higher (Table 1).

The adjusted rates were similar between the sexes (16.4 new cases/100,000 inhabitants for males and 16.1 new cases/100,000 inhabitants for females) and, unlike the gross rates, they increased up to the age group from 60 to 69 years old for both sexes, with a decrease thereafter. The age group from 60 to 69 years old stands out, presenting the highest adjusted rates in both males (5.5 cases/100,000 men) and females (5.0 cases/100,000 women) (Table 1).

In the analysis of the time trend of the adjusted CRC incidence rates considering only sex, males had an AAPC of 0.7 (95% confidence interval [95%CI]-0.9-2.4) and females of 1.6 (95%CI 0-3.3), that is, the percentage change in the adjusted rates for women was 2.3 times higher than for men. However, the variations for both sexes were not statistically significant (Figure 1).

Figure 1
Time trend of adjusted rates of colorectal cancer incidence by sex, Greater Cuiabá, Mato Grosso (Brazil), 2000 to 2016.

In the analysis of the time trend by age group, stratified by sex, for males, a downward trend in the adjusted CRC rates was observed for the age groups from 30 to 59 years and also for those aged 80 years or older, but these decreases were not statistically significant. For the age groups from 60 to 69 years and 70 to 79 years, there was a tendency to increase the adjusted rates in the period, but only with statistical significance for the age group from 70 to 79 years, with an AAPC of 4.0 (95%CI 0.4-7.6) (Figure 2 and Table 2).

Figure 2
Temporal trend of adjusted rates of colorectal cancer incidence for males, by age group, Greater Cuiabá (MT), 2000 to 2016.
Table 2
Temporal trend of adjusted rates of colorectal cancer incidence according to sex and age group, Greater Cuiabá (MT), Brazil, 2000 to 2016.

For females, four temporal trends were identified for the age group from 40 to 49 years, with decrease in the periods from 2004 to 2007 and from 2011 to 2016 and increase in the periods from 2000 to 2004 and from 2007 to 2011. The age groups from 60 to 69 years and from 70 to 79 years also showed a decreasing trend, but none of them with statistical significance. On the other hand, the age groups from 30 to 39 years, 50 to 59 years and 80 years and older showed a temporal tendency to increase in the adjusted rates, but only the age group from 50 to 59 years showed a significant increase in the period, with an AAPC of 2.7 (95%CI 0.4-5.1) (Figure 3 and Table 2).

Figure 3
Temporal trend of adjusted rates of colorectal cancer incidence for females, by age group, Greater Cuiabá (MT), 2000 to 2016.

DISCUSSION

The results of this study showed that, in the period of 2000 to 2016, men from the Greater Cuiabá showed a temporal tendency to increase the incidence rate of CRC in the age group from 70 to 79 years, while women showed a tendency to increase in the age group of 50 to 59 years.

Women had a slightly higher proportion of cases of the disease when compared to men (53.1%), a percentage similar to that found in other locations, inside and outside of Brazil, such as 56.0% in Cali between 1983 and 2021, 51.0% in Costa Rica between 1983 and 2007, 56.0% in Quito between 1988 and 2012, 54.0% in Goiânia (GO) in the same period1717 Carvalho TC. Câncer colorretal: estudo do efeito idade-período-coorte na incidência em quatro regiões da América Latina [dissertação de mestrado]. Rio de Janeiro: Escola Nacional de Saúde Pública Sérgio Arouca da Fundação Oswaldo Cruz (FIOCRUZ); 2019. and 52.5% in São Paulo (SP) between 1997 and 20091818 Medeiros MJ. Relacionamento entre câncer colorretal e indicadores socioeconômicos no município de São Paulo: uso de modelos de regressão espacial [tese de doutorado]. São Paulo: Faculdade de Saúde Pública da Universidade de São Paulo (USP); 2015..

The adjusted CRC incidence rates were similar between the sexes. For this disease, the rates have generally been equal between men and women1919 Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. CA Cancer J Clin 2018; 68(1): 7-30. https://doi.org/10.3322/caac.21442
https://doi.org/10.3322/caac.21442...
. The adjusted rate found in this study was lower than that found in São Paulo, where, from 1999 to 2013, men had an adjusted rate of 29.7 cases/100,000 men and women 23.4 cases/100,000 women, but without including the malignant neoplasm of the anus and anal canal2020 Oliveira MM. Desigualdades na incidência e mortalidade do câncer colorretal no município de São Paulo e Brasil [tese de doutorado]. São Paulo: Faculdade de Saúde Pública da Universidade de São Paulo (USP); 2018.. It was also lower than that found in Goiânia, where men had an adjusted rate of 32.3 cases/100,000 men and women of 28.6 cases/100,000 women in the period from 1988 to 20121717 Carvalho TC. Câncer colorretal: estudo do efeito idade-período-coorte na incidência em quatro regiões da América Latina [dissertação de mestrado]. Rio de Janeiro: Escola Nacional de Saúde Pública Sérgio Arouca da Fundação Oswaldo Cruz (FIOCRUZ); 2019.. Estimates for Cuiabá for the year 2020 indicate, however, higher incidence rates (gross and adjusted) of CRC for women55 Instituto Nacional de Câncer José Alencar Gomes da Silva. Estimativa 2020: incidência de câncer no Brasil. Rio de Janeiro: INCA; 2019. Available at: https://www.inca.gov.br/sites/ufu.sti.inca.local/files//media/document//estimativa-2020-incidencia-de-cancer-no-brasil.pdf
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The adjusted rates were highest in the 50-79 age groups, with subsequent decline. The peak of the incidence rate at a certain age, in the case of this study in the age group 60 to 69 years, with a drop at more advanced ages, may mean the existence of a risk subgroup1717 Carvalho TC. Câncer colorretal: estudo do efeito idade-período-coorte na incidência em quatro regiões da América Latina [dissertação de mestrado]. Rio de Janeiro: Escola Nacional de Saúde Pública Sérgio Arouca da Fundação Oswaldo Cruz (FIOCRUZ); 2019.. It is known that age has been considered an important source of variation between rates, due to the increased risk of death with the biological process of aging2121 Yang Y. Trends in U.S. adult chronic disease mortality, 1960-1999: age, period, and cohort variations. Demography 2008; 45(2): 387-416. https://doi.org/10.1353/dem.0.0000
https://doi.org/10.1353/dem.0.0000...
, when the number of cell division increases, and deoxyribonucleic acid replication errors that lead to mutations may occur2222 Richardson B. Impact of aging on DNA methylation. Ageing Res Rev 2003; 2(3): 245-61. https://doi.org/10.1016/S1568-1637(03)00010-2
https://doi.org/10.1016/S1568-1637(03)00...
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The occurrence of the disease at an older age can also be explained by the fact that, over the years, individuals are more exposed to other CRC risk factors, such as inadequate eating habits, physical inactivity, sedentary lifestyle, obesity and even diabetes2323 Ahnen DJ, Wade SW, Jones WF, Sifri R, Silveiras JM, Greenamyer J, et al. The increasing incidence of young-onset colorectal cancer: a call to action. Mayo Clinic Proc 2014; 89(2): 216-24. https://doi.org/10.1016/j.mayocp.2013.09.006
https://doi.org/10.1016/j.mayocp.2013.09...
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Results from the Surveillance System of Risk Factors for Chronic Non-Communicable Diseases (Vigitel) showed that, in 2019, men from Cuiabá had the five highest prevalences for: passive smoking in the workplace, consumption of soft drinks on five or more days of the week, insufficient practice of physical activity and consumption, in the last 30 days, of five or more doses of alcoholic beverage on the same occasion. The city was among the five capitals with the lowest prevalences for: consumption of fruits and vegetables on five or more days of the week, consumption of five or more daily servings of fruits and vegetables, and practice of physical activities during free time equivalent to at least 150 minutes of moderate-intensity activity per week. The women were among the five highest prevalences of second-hand smoke in the workplace2424 Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Departamento de Análise em Saúde e Vigilância de Doenças Não Transmissíveis. Vigitel Brasil 2019: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico: estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no Distrito Federal em 2019. Brasília: Ministério da Saúde, 2020. Available at: http://www.crn1.org.br/wp-content/uploads/2020/04/vigitel-brasil-2019-vigilancia-fatores-risco.pdf?x53725
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. Although the Vigitel data refer only to Cuiabá, it is possible that they may apply to the Greater Cuiabá, showing that this population has risk factors that have been associated with an increase in CRC incidence2525 Johnson CM, Wei C, Ensor JE, Smolenski DJ, Amos CI, Levin B, et al. Meta-analyses of colorectal cancer risk factors. Cancer Causes Control 2013; 24(6): 1207-22. https://doi.org/10.1007/s10552-013-0201-5
https://doi.org/10.1007/s10552-013-0201-...
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A meta-analysis study that analyzed the strength of the associations between selected risk factors and the occurrence of CRC showed that the risk of the disease was significantly associated with inflammatory bowel disease, history of CRC in a family member, body mass index, smoking and red meat consumption and that physical activity and consumption of fruit and vegetables proved protective2525 Johnson CM, Wei C, Ensor JE, Smolenski DJ, Amos CI, Levin B, et al. Meta-analyses of colorectal cancer risk factors. Cancer Causes Control 2013; 24(6): 1207-22. https://doi.org/10.1007/s10552-013-0201-5
https://doi.org/10.1007/s10552-013-0201-...
.

Although the risk of CRC in individuals younger than 50 years is lower, tracking the time trend of the disease in this group has been a key indicator of recent changes in risk factor exposures, and often foreshadows the future burden of cancer2626 Campos FGCM, Figueiredo MN, Monteiro M, Nahas SC, Cecconello I. Incidência de câncer colorretal em pacientes jovens. Rev Col Bras Cir 2017; 44(2): 208-15. https://doi.org/10.1590/0100-69912017002004
https://doi.org/10.1590/0100-69912017002...
. In the United States and Canada, for example, the increase in CRC cases in younger patients led to the modification of the recommended age for starting colonoscopy to 45 years2727 Wolf AMD, Fontham ETH, Church TR, Flowers CR, Guerra CE, LaMonte SJ, et al. Colorectal cancer screening for average-risk adults: 2018 guideline update from the American Cancer Society. CA Cancer J Clin 2018; 68(4): 250-81. https://doi.org/10.3322/caac.21457
https://doi.org/10.3322/caac.21457...
.

The results of the temporal trends of disease incidence over the analyzed period did not show significant changes when only sex information was considered. However, when age was considered, it was noticed that women showed a significant temporal trend of increasing CRC incidence rates in younger age groups when compared to men. On the other hand, men showed a more expressive increase trend. Thus, it is recommended that information on age be incorporated into this type of analysis and the identification of symptoms of the disease in the younger population, as well as studies aimed at identifying risk factors in this group.

It is known that women have a higher prevalence of use of health services, especially for routine and preventive exams2828 Pinheiro RS, Viacava F, Travassos C, Brito AS. Gênero, morbidade, acesso e utilização de serviços de saúde no Brasil. Ciênc Saúde Coletiva 2002; 7(4): 687-707. https://doi.org/10.1590/S1413-81232002000400007
https://doi.org/10.1590/S1413-8123200200...
, and this more frequent contact with health services can allow the diagnosis of the disease at younger ages, as well as in earlier stages when compared to men. In addition, a possible protective effect of female hormones on the oncogenic process of CRC has been described, evidenced by the use of oral contraceptives and hormone replacement therapy2929 Majek O, Gondos A, Jansen L, Emrich K, Holleczek B, Katalinic A, et al. Sex differences in colorectal cancer survival: population-based analysis of 164,996 colorectal cancer patients in Germany. PLoS One 2013; 8(7): e68077. https://doi.org/10.1371/journal.pone.0068077
https://doi.org/10.1371/journal.pone.006...
.

As for men, they recognize less the signs and symptoms of the disease, such as alterations in the functioning of the intestine, reflecting on late diagnosis3030 Cancer Research. Cancer Awareness Measure (CAM). Key Findings Report; 2014 & Trends Analysis (2008-2014). Oxford: Cancer Research UK; 2016. Available at: https://www.cancerresearchuk.org/sites/default/files/cam_key_findings_report_-_2014_trends_analysis_v5.pdf
https://www.cancerresearchuk.org/sites/d...
. The more pronounced increase in incidence rates in this group, also identified in other studies3131 Balmagambetova S, Bhat SA, Koyshybaev A, Gumarova Z, Urazayev O, Tulyaeva A, et al. Trends in colorectal cancer incidence in western Kazakhstan through the first decade of the screening implementation, 2009-2018. J Coloproctol 2020; 40(1): 43-9. https://doi.org/10.1016/j.jcol.2019.10.004 
https://doi.org/10.1016/j.jcol.2019.10.0...
,3232 Reis RS, Santos MO, Bloch KV. Colorectal cancer in Porto Alegre and Fortaleza, Brazil: incidence trends and distribution pattern from 1990 to 1999. Cad Saúde Pública 2009; 25(5): 1046-53. https://doi.org/10.1590/S0102-311X2009000500011
https://doi.org/10.1590/S0102-311X200900...
, may be related, in part, to a less healthy lifestyle, a fact that may give them a higher risk for the disease3333 Barata RB. Relações de gênero e saúde: desigualdade ou discriminação? In: Barata RB, ed. Como e por que as desigualdades sociais fazem mal à saúde. Rio de Janeiro: Editora Fiocruz; 2009. p. 73-94..

Global patterns of CRC incidence have varied widely between locations. In Brazil, adjusted incidence rates ranged from 5.6/100,000 (Acre) to 33.1/100,000 (São Paulo) for men, and from 5.5/100,000 (Amapá) to 25.1/100,000 (Santa Catarina) for women in 202055 Instituto Nacional de Câncer José Alencar Gomes da Silva. Estimativa 2020: incidência de câncer no Brasil. Rio de Janeiro: INCA; 2019. Available at: https://www.inca.gov.br/sites/ufu.sti.inca.local/files//media/document//estimativa-2020-incidencia-de-cancer-no-brasil.pdf
https://www.inca.gov.br/sites/ufu.sti.in...
, however, in general, the incidence of CRC has increased in low and middle-income countries, but is stabilizing, or even decreasing, in high-income countries, especially in those who have implemented some screening for the disease33 Arnold M, Sierra MS, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global patterns and trends in colorectal cancer incidence and mortality. Gut 2017; 66(4): 683-91. http://doi.org/10.1136/gutjnl-2015-310912
http://doi.org/10.1136/gutjnl-2015-31091...
.

It is known that the implementation of screening strategies can reduce the incidence of CRC through the identification and removal of precancerous polyps3434 National Cancer Institute. Colorectal Cancer Screening (PDQ®) – Health Professional Version [Internet]. 2021 [cited on Mar 3, 2021]. Available at: https://www.cancer.gov/types/colorectal/hp/colorectal-screening-pdq
https://www.cancer.gov/types/colorectal/...
, since they evolve to a benign lesion in approximately 10 to 15 years, with a long preclinical interval with possibilities of detection and removal3535 Guinhazi NP, Silva RA, Tavares LF, Brito APO, Brito MVH. Indicações e condutas de rastreamento de pólipos intestinais: uma revisão de literatura. Rev Artigos.Com 2019; 1: 1-14. Available at: https://acervomais.com.br/index.php/artigos/article/view/158
https://acervomais.com.br/index.php/arti...
. On the other hand, screening itself can also increase observed rates of disease due to early detection of CRC2525 Johnson CM, Wei C, Ensor JE, Smolenski DJ, Amos CI, Levin B, et al. Meta-analyses of colorectal cancer risk factors. Cancer Causes Control 2013; 24(6): 1207-22. https://doi.org/10.1007/s10552-013-0201-5
https://doi.org/10.1007/s10552-013-0201-...
.

In Brazil, there are no specific guidelines for CRC screening, which already happens for the cervix. In other countries, such as Denmark, every two years all of its citizens aged 50 to 74 years are called for CRC screening3636 Deding U, Henig AS, Torp-Pedersen C, Bøggild H. The effects of reminders for colorectal cancer screening: participation and inequality. Int J Colorectal Dis 2019; 34(1): 141-50. https://doi.org/10.1007/s00384-018-3178-4
https://doi.org/10.1007/s00384-018-3178-...
.

The recommendation in the Brazilian Unified Health System is that early diagnosis and personalized approach actions be prioritized only for the high-risk group due to the different epidemiological realities and health networks. There is also a need for studies on the feasibility of introducing screening in different national contexts3737 Instituto Nacional de Câncer. Ministério da Saúde. Câncer de intestino – versão para profissionais de saúde [Internet]. 2019 [cited on May 20, 2021]. Available at: https://www.inca.gov.br/tipos-de-cancer/cancer-de-intestino/profissional-de-saude
https://www.inca.gov.br/tipos-de-cancer/...
. In this sense, the Barretos Cancer Hospital developed a CRC screening program based on a fecal immunochemical test. To analyze the quality and performance measures in the first two years of the program, a study was developed with 6,737 individuals from 2015 to 2017. The results showed that the program achieved desirable quality metrics, in line with the European Union guidelines3838 Guimarães DP, Mantuan LA, Oliveira MA, Luiz Junior R, Costa AM, Rossi S, et al. The performance of colorectal cancer screening in Brazil: the first two years of the implementation program in Barretos Cancer Hospital. Cancer Prev Res (Phila) 2021; 14(2): 241-52. https://doi.org/10.1158/1940-6207.CAPR-20-0179
https://doi.org/10.1158/1940-6207.CAPR-2...
.

This study provided information on the temporal trend of CRC incidence in the Greater Cuiabá, using the most current data on the disease, a period not identified, to date, in any other study. Thus, it is expected that the resulting data can help strengthen the Oncology Care Action Plan in the state of Mato Grosso, so that the adjustments of the care line and service network and the levels of cancer management can be established for the early diagnosis and treatment of the disease in the state.

As a limitation, the fact that it is based on secondary data must be highlighted, which may present problems of underreporting, filling and coding errors3939 Alves CMM. Câncer colorretal – carga da doença no estado do Mato Grosso [tese de doutorado]. Juiz de Fora: Faculdade de Medicina da Universidade Federal de Juiz de Fora (UFJF); 2019.. For the analysis of the temporal trend, it should also be considered that the data can be influenced by the improvement of the quality of the information over time55 Instituto Nacional de Câncer José Alencar Gomes da Silva. Estimativa 2020: incidência de câncer no Brasil. Rio de Janeiro: INCA; 2019. Available at: https://www.inca.gov.br/sites/ufu.sti.inca.local/files//media/document//estimativa-2020-incidencia-de-cancer-no-brasil.pdf
https://www.inca.gov.br/sites/ufu.sti.in...
.

Health surveillance comprises groups of actions to know, detect and prevent factors that act in the health-disease process. Cancer surveillance requires information for estimates on incidence, cases assisted in the oncology care network, deaths from cancer, among others, allowing managers and the population to have access to data on the disease in Brazil. The effective and efficient planning of cancer prevention and control programs in the country depends on the construction of indicators, which can be provided by the information from the PBCR.

ETHICS COMMITTEE IDENTIFICATION/APPROVAL NUMBER

Ethics Committee of Hospital Universitário Júlio Muller: opinion number 3,48,183 of 11/20/2018; Ethics Committee of the Mato Grosso Health Department; opinion number 3,263,744 from 04/12/2019.

  • Financial support:
    Mato Grosso State Health Department, for funding the extension project “Surveillance of Cancer and associated factors: updating of population-based and hospital records” (contract 088/2016); Public Labor Ministry of the 23rd Region for funding the research project “Cancer and associated factors: analysis of population-based and hospital records” (technical cooperation agreement 08/2019).

ACKNOWLEDGEMENTS

The Coordination for the Improvement of Higher Education Personnel (CAPES), for the master’s scholarships; the National Cancer Institute, for contributing to the training of cancer registrars; the Institute for Collective Health from the Universidade Federal de Mato Grosso, for the physical space.

REFERENCES

  • 1
    World Health Organization. Global status report on noncommunicable diseases 2010. Geneva: World Health Organization; 2011. Available at: https://apps.who.int/iris/bitstream/handle/10665/44579/9789240686458_eng.pdf?sequence=1&isAllowed=y
    » https://apps.who.int/iris/bitstream/handle/10665/44579/9789240686458_eng.pdf?sequence=1&isAllowed=y
  • 2
    International Agency for Research on Cancer. GLOBOCAN 2020: new global cancer data [Internet]. 2020 [cited on Mat 8, 2021]. Available at: https://www.uicc.org/news/globocan-2020-new-global-cancer-data
    » https://www.uicc.org/news/globocan-2020-new-global-cancer-data
  • 3
    Arnold M, Sierra MS, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global patterns and trends in colorectal cancer incidence and mortality. Gut 2017; 66(4): 683-91. http://doi.org/10.1136/gutjnl-2015-310912
    » http://doi.org/10.1136/gutjnl-2015-310912
  • 4
    Instituto Nacional de Câncer José Alencar Gomes da Silva. Coordenação de Prevenção e Vigilância. Estimativa 2014: incidência de câncer no Brasil. Rio de Janeiro: INCA; 2014. Available at: https://www.inca.gov.br/bvscontrolecancer/publicacoes/Estimativa_2014.pdf
    » https://www.inca.gov.br/bvscontrolecancer/publicacoes/Estimativa_2014.pdf
  • 5
    Instituto Nacional de Câncer José Alencar Gomes da Silva. Estimativa 2020: incidência de câncer no Brasil. Rio de Janeiro: INCA; 2019. Available at: https://www.inca.gov.br/sites/ufu.sti.inca.local/files//media/document//estimativa-2020-incidencia-de-cancer-no-brasil.pdf
    » https://www.inca.gov.br/sites/ufu.sti.inca.local/files//media/document//estimativa-2020-incidencia-de-cancer-no-brasil.pdf
  • 6
    Santos AP, Cardoza LMS, Sibim AC, Gamarra CJ. Tendência da mortalidade por câncer colorretal no estado do Paraná e no município de Foz do Iguaçu, 1980 a 2013. Rev Bras Cancerol 2017; 63(2): 87-93. https://doi.org/10.32635/2176-9745.RBC.2017v63n2.138
    » https://doi.org/10.32635/2176-9745.RBC.2017v63n2.138
  • 7
    Brasil. Ministério da Saúde. Portal da Saúde. DATASUS. Informações de Saúde (TABNET). Demográficas e Socioeconômicas [Internet]. 2021 [cited on Feb 25, 2021]. Available at: https://datasus.saude.gov.br/populacao-residente
    » https://datasus.saude.gov.br/populacao-residente
  • 8
    Instituto Brasileiro de Geografia e Estatística. Censo demográfico 2010: características da população e dos domicílios - resultados do universo [Internet]. 2010 [cited on Jan 27, 2021]. Available at: https://biblioteca.ibge.gov.br/index.php/biblioteca-catalogo?view=detalhes&id=793
    » https://biblioteca.ibge.gov.br/index.php/biblioteca-catalogo?view=detalhes&id=793
  • 9
    Instituto Nacional de Câncer. Registros de câncer de base populacional [Internet]. 2021 [cited on Apr 26, 2021]. Available at: https://www.inca.gov.br/numeros-de-cancer/registro-de-cancer-de-base-populacional
    » https://www.inca.gov.br/numeros-de-cancer/registro-de-cancer-de-base-populacional
  • 10
    Instituto Nacional de Câncer José Alencar Gomes da Silva. Coordenação-Geral de Prevenção e Vigilância. Divisão de Vigilância e Análise da Situação. Manual de rotinas e procedimentos para registros de câncer de base populacional. 2a ed. Rio de Janeiro: INCA; 2012. Available at: https://www.inca.gov.br/sites/ufu.sti.inca.local/files//media/document//manual-de-rotinas-e-procedimentos-para-registros-de-cancer-de-base-populacional.pdf
    » https://www.inca.gov.br/sites/ufu.sti.inca.local/files//media/document//manual-de-rotinas-e-procedimentos-para-registros-de-cancer-de-base-populacional.pdf
  • 11
    Curado MP, Edwards B, Shin HR, Storm H, Ferlay J, Heanue M, et al. Cancer incidence in five continents, vol. IX. Lyon: IARC Scientific Publications; 2007. Available at: https://publications.iarc.fr/Book-And-Report-Series/Iarc-Scientific-Publications/Cancer-Incidence-In-Five-Continents-Volume-IX-2007
    » https://publications.iarc.fr/Book-And-Report-Series/Iarc-Scientific-Publications/Cancer-Incidence-In-Five-Continents-Volume-IX-2007
  • 12
    Segi M. Cancer mortality for select sites in 24 countries (1950-1957). Sendai: Department of Public Health/Tohoku University of Medicine; 1960.
  • 13
    Doll R. Comparison between registries and age-standardized rates. In: Waterhouse JA, Muir CS, Correa P, Powell J, editors. Cancer incidence in five continents. Lyon: IARC; 1966. p. 453-9.
  • 14
    National Cancer Institute. Division of Cancer Control & Population Sciences. Surveillance Research Program. Joinpoint Trend Analysis Software [Internet]. 2020 [cited on 24 nov. 2020]. Available at: https://surveillance.cancer.gov/joinpoint/
    » https://surveillance.cancer.gov/joinpoint/
  • 15
    Kim HJ, Fay MP, Feuer EJ, Midthune DN. Permutation tests for joinpoint regression with application to cancer rates. Stat Med 2000; 19(3): 335-51. https://doi.org/10.1002/(sici)1097-0258(20000215)19:3<335::aid-sim336>3.0.co;2-z
    » https://doi.org/10.1002/(sici)1097-0258(20000215)19:3<335::aid-sim336>3.0.co;2-z
  • 16
    Clegg LX, Hankey BF, Tiwari R, Feuer EJ, Edwards BK. Estimating average annual per cent change in trend analysis. Stat Med 2009; 28(29): 3670-82. https://doi.org/10.1002/sim.3733
    » https://doi.org/10.1002/sim.3733
  • 17
    Carvalho TC. Câncer colorretal: estudo do efeito idade-período-coorte na incidência em quatro regiões da América Latina [dissertação de mestrado]. Rio de Janeiro: Escola Nacional de Saúde Pública Sérgio Arouca da Fundação Oswaldo Cruz (FIOCRUZ); 2019.
  • 18
    Medeiros MJ. Relacionamento entre câncer colorretal e indicadores socioeconômicos no município de São Paulo: uso de modelos de regressão espacial [tese de doutorado]. São Paulo: Faculdade de Saúde Pública da Universidade de São Paulo (USP); 2015.
  • 19
    Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. CA Cancer J Clin 2018; 68(1): 7-30. https://doi.org/10.3322/caac.21442
    » https://doi.org/10.3322/caac.21442
  • 20
    Oliveira MM. Desigualdades na incidência e mortalidade do câncer colorretal no município de São Paulo e Brasil [tese de doutorado]. São Paulo: Faculdade de Saúde Pública da Universidade de São Paulo (USP); 2018.
  • 21
    Yang Y. Trends in U.S. adult chronic disease mortality, 1960-1999: age, period, and cohort variations. Demography 2008; 45(2): 387-416. https://doi.org/10.1353/dem.0.0000
    » https://doi.org/10.1353/dem.0.0000
  • 22
    Richardson B. Impact of aging on DNA methylation. Ageing Res Rev 2003; 2(3): 245-61. https://doi.org/10.1016/S1568-1637(03)00010-2
    » https://doi.org/10.1016/S1568-1637(03)00010-2
  • 23
    Ahnen DJ, Wade SW, Jones WF, Sifri R, Silveiras JM, Greenamyer J, et al. The increasing incidence of young-onset colorectal cancer: a call to action. Mayo Clinic Proc 2014; 89(2): 216-24. https://doi.org/10.1016/j.mayocp.2013.09.006
    » https://doi.org/10.1016/j.mayocp.2013.09.006
  • 24
    Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Departamento de Análise em Saúde e Vigilância de Doenças Não Transmissíveis. Vigitel Brasil 2019: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico: estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no Distrito Federal em 2019. Brasília: Ministério da Saúde, 2020. Available at: http://www.crn1.org.br/wp-content/uploads/2020/04/vigitel-brasil-2019-vigilancia-fatores-risco.pdf?x53725
    » http://www.crn1.org.br/wp-content/uploads/2020/04/vigitel-brasil-2019-vigilancia-fatores-risco.pdf?x53725
  • 25
    Johnson CM, Wei C, Ensor JE, Smolenski DJ, Amos CI, Levin B, et al. Meta-analyses of colorectal cancer risk factors. Cancer Causes Control 2013; 24(6): 1207-22. https://doi.org/10.1007/s10552-013-0201-5
    » https://doi.org/10.1007/s10552-013-0201-5
  • 26
    Campos FGCM, Figueiredo MN, Monteiro M, Nahas SC, Cecconello I. Incidência de câncer colorretal em pacientes jovens. Rev Col Bras Cir 2017; 44(2): 208-15. https://doi.org/10.1590/0100-69912017002004
    » https://doi.org/10.1590/0100-69912017002004
  • 27
    Wolf AMD, Fontham ETH, Church TR, Flowers CR, Guerra CE, LaMonte SJ, et al. Colorectal cancer screening for average-risk adults: 2018 guideline update from the American Cancer Society. CA Cancer J Clin 2018; 68(4): 250-81. https://doi.org/10.3322/caac.21457
    » https://doi.org/10.3322/caac.21457
  • 28
    Pinheiro RS, Viacava F, Travassos C, Brito AS. Gênero, morbidade, acesso e utilização de serviços de saúde no Brasil. Ciênc Saúde Coletiva 2002; 7(4): 687-707. https://doi.org/10.1590/S1413-81232002000400007
    » https://doi.org/10.1590/S1413-81232002000400007
  • 29
    Majek O, Gondos A, Jansen L, Emrich K, Holleczek B, Katalinic A, et al. Sex differences in colorectal cancer survival: population-based analysis of 164,996 colorectal cancer patients in Germany. PLoS One 2013; 8(7): e68077. https://doi.org/10.1371/journal.pone.0068077
    » https://doi.org/10.1371/journal.pone.0068077
  • 30
    Cancer Research. Cancer Awareness Measure (CAM). Key Findings Report; 2014 & Trends Analysis (2008-2014). Oxford: Cancer Research UK; 2016. Available at: https://www.cancerresearchuk.org/sites/default/files/cam_key_findings_report_-_2014_trends_analysis_v5.pdf
    » https://www.cancerresearchuk.org/sites/default/files/cam_key_findings_report_-_2014_trends_analysis_v5.pdf
  • 31
    Balmagambetova S, Bhat SA, Koyshybaev A, Gumarova Z, Urazayev O, Tulyaeva A, et al. Trends in colorectal cancer incidence in western Kazakhstan through the first decade of the screening implementation, 2009-2018. J Coloproctol 2020; 40(1): 43-9. https://doi.org/10.1016/j.jcol.2019.10.004 
    » https://doi.org/10.1016/j.jcol.2019.10.004
  • 32
    Reis RS, Santos MO, Bloch KV. Colorectal cancer in Porto Alegre and Fortaleza, Brazil: incidence trends and distribution pattern from 1990 to 1999. Cad Saúde Pública 2009; 25(5): 1046-53. https://doi.org/10.1590/S0102-311X2009000500011
    » https://doi.org/10.1590/S0102-311X2009000500011
  • 33
    Barata RB. Relações de gênero e saúde: desigualdade ou discriminação? In: Barata RB, ed. Como e por que as desigualdades sociais fazem mal à saúde. Rio de Janeiro: Editora Fiocruz; 2009. p. 73-94.
  • 34
    National Cancer Institute. Colorectal Cancer Screening (PDQ®) – Health Professional Version [Internet]. 2021 [cited on Mar 3, 2021]. Available at: https://www.cancer.gov/types/colorectal/hp/colorectal-screening-pdq
    » https://www.cancer.gov/types/colorectal/hp/colorectal-screening-pdq
  • 35
    Guinhazi NP, Silva RA, Tavares LF, Brito APO, Brito MVH. Indicações e condutas de rastreamento de pólipos intestinais: uma revisão de literatura. Rev Artigos.Com 2019; 1: 1-14. Available at: https://acervomais.com.br/index.php/artigos/article/view/158
    » https://acervomais.com.br/index.php/artigos/article/view/158
  • 36
    Deding U, Henig AS, Torp-Pedersen C, Bøggild H. The effects of reminders for colorectal cancer screening: participation and inequality. Int J Colorectal Dis 2019; 34(1): 141-50. https://doi.org/10.1007/s00384-018-3178-4
    » https://doi.org/10.1007/s00384-018-3178-4
  • 37
    Instituto Nacional de Câncer. Ministério da Saúde. Câncer de intestino – versão para profissionais de saúde [Internet]. 2019 [cited on May 20, 2021]. Available at: https://www.inca.gov.br/tipos-de-cancer/cancer-de-intestino/profissional-de-saude
    » https://www.inca.gov.br/tipos-de-cancer/cancer-de-intestino/profissional-de-saude
  • 38
    Guimarães DP, Mantuan LA, Oliveira MA, Luiz Junior R, Costa AM, Rossi S, et al. The performance of colorectal cancer screening in Brazil: the first two years of the implementation program in Barretos Cancer Hospital. Cancer Prev Res (Phila) 2021; 14(2): 241-52. https://doi.org/10.1158/1940-6207.CAPR-20-0179
    » https://doi.org/10.1158/1940-6207.CAPR-20-0179
  • 39
    Alves CMM. Câncer colorretal – carga da doença no estado do Mato Grosso [tese de doutorado]. Juiz de Fora: Faculdade de Medicina da Universidade Federal de Juiz de Fora (UFJF); 2019.

Publication Dates

  • Publication in this collection
    24 June 2022
  • Date of issue
    2022

History

  • Received
    18 Aug 2021
  • Reviewed
    27 Nov 2021
  • Accepted
    15 Dec 2021
  • Preprint posted on
    19 Apr 2022
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