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Trends in Female Breast Cancer by Age Group in the Chiang Mai Population

OBJECTIVES: This study was conducted to determine incidence trends of female breast cancer according to age groups and to predict future change in Chiang Mai women through 2028. METHOD: Data were collected from all hospitals in Chiang Mai in northern Thailand, from 1989 through 2013, and used to inv...

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Autores principales: Sripan, Patumrat, Sriplung, Hutcha, Pongnikorn, Donsuk, Virani, Shama, Bilheem, Surichai, Chaisaengkhaum, Udomlak, Maneesai, Puttachart, Waisri, Narate, Hanpragopsuk, Chirapong, Tansiri, Panrada, Khamsan, Varunee, Poungsombat, Malisa, Mawoot, Aumnart, Chitapanarux, Imjai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: West Asia Organization for Cancer Prevention 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5555555/
https://www.ncbi.nlm.nih.gov/pubmed/28612595
http://dx.doi.org/10.22034/APJCP.2017.18.5.1411
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author Sripan, Patumrat
Sriplung, Hutcha
Pongnikorn, Donsuk
Virani, Shama
Bilheem, Surichai
Chaisaengkhaum, Udomlak
Maneesai, Puttachart
Waisri, Narate
Hanpragopsuk, Chirapong
Tansiri, Panrada
Khamsan, Varunee
Poungsombat, Malisa
Mawoot, Aumnart
Chitapanarux, Imjai
author_facet Sripan, Patumrat
Sriplung, Hutcha
Pongnikorn, Donsuk
Virani, Shama
Bilheem, Surichai
Chaisaengkhaum, Udomlak
Maneesai, Puttachart
Waisri, Narate
Hanpragopsuk, Chirapong
Tansiri, Panrada
Khamsan, Varunee
Poungsombat, Malisa
Mawoot, Aumnart
Chitapanarux, Imjai
author_sort Sripan, Patumrat
collection PubMed
description OBJECTIVES: This study was conducted to determine incidence trends of female breast cancer according to age groups and to predict future change in Chiang Mai women through 2028. METHOD: Data were collected from all hospitals in Chiang Mai in northern Thailand, from 1989 through 2013, and used to investigate effects of age, year of diagnosis (period) and year of birth (cohort) on female breast cancer incidences using an age-period-cohort model. This model features geometric cut trends to predict change by young (<40 years), middle-aged (40-59) and elderly (≥60) age groups. RESULT: Of 5, 417 female breast cancer patients with a median age of 50 years (interquartile range: 43 to 59 years), 15%, 61% and 24% were young, middle-aged and elderly, respectively. Seventy nine percent of cancer cases in this study were detected at advanced stage. The trend in stage classification showed an increase in percentage of early stage and a decrease in metastatic cancers. Linear trends for cohort and period were not found in young females but were observed in middle-aged and elderly groups. Age-standardized rates (ASR) can be expected to remain stable around 6.8 per 100,000 women-years in young females. In the other age groups, the ASR trends were calculated to increase and reach peaks in 2024 of 120.2 and 138.2 per 100,000 women-years, respectively. CONCLUSION: Cohort effects or generation-specific effects, such as life style factors and the year of diagnosis (period) might have impacted on increased incidence in women aged over 40 years but not those under 40 years. A budget should be provided for treatment facilities and strategies to detect early stage cancers. The cost effectiveness of screening measures i.e. mammographic screening may need to be reconsidered for women age over 40 years.
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spelling pubmed-55555552017-08-28 Trends in Female Breast Cancer by Age Group in the Chiang Mai Population Sripan, Patumrat Sriplung, Hutcha Pongnikorn, Donsuk Virani, Shama Bilheem, Surichai Chaisaengkhaum, Udomlak Maneesai, Puttachart Waisri, Narate Hanpragopsuk, Chirapong Tansiri, Panrada Khamsan, Varunee Poungsombat, Malisa Mawoot, Aumnart Chitapanarux, Imjai Asian Pac J Cancer Prev Research Article OBJECTIVES: This study was conducted to determine incidence trends of female breast cancer according to age groups and to predict future change in Chiang Mai women through 2028. METHOD: Data were collected from all hospitals in Chiang Mai in northern Thailand, from 1989 through 2013, and used to investigate effects of age, year of diagnosis (period) and year of birth (cohort) on female breast cancer incidences using an age-period-cohort model. This model features geometric cut trends to predict change by young (<40 years), middle-aged (40-59) and elderly (≥60) age groups. RESULT: Of 5, 417 female breast cancer patients with a median age of 50 years (interquartile range: 43 to 59 years), 15%, 61% and 24% were young, middle-aged and elderly, respectively. Seventy nine percent of cancer cases in this study were detected at advanced stage. The trend in stage classification showed an increase in percentage of early stage and a decrease in metastatic cancers. Linear trends for cohort and period were not found in young females but were observed in middle-aged and elderly groups. Age-standardized rates (ASR) can be expected to remain stable around 6.8 per 100,000 women-years in young females. In the other age groups, the ASR trends were calculated to increase and reach peaks in 2024 of 120.2 and 138.2 per 100,000 women-years, respectively. CONCLUSION: Cohort effects or generation-specific effects, such as life style factors and the year of diagnosis (period) might have impacted on increased incidence in women aged over 40 years but not those under 40 years. A budget should be provided for treatment facilities and strategies to detect early stage cancers. The cost effectiveness of screening measures i.e. mammographic screening may need to be reconsidered for women age over 40 years. West Asia Organization for Cancer Prevention 2017 /pmc/articles/PMC5555555/ /pubmed/28612595 http://dx.doi.org/10.22034/APJCP.2017.18.5.1411 Text en Copyright: © Asian Pacific Journal of Cancer Prevention http://creativecommons.org/licenses/BY-SA/4.0 This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
spellingShingle Research Article
Sripan, Patumrat
Sriplung, Hutcha
Pongnikorn, Donsuk
Virani, Shama
Bilheem, Surichai
Chaisaengkhaum, Udomlak
Maneesai, Puttachart
Waisri, Narate
Hanpragopsuk, Chirapong
Tansiri, Panrada
Khamsan, Varunee
Poungsombat, Malisa
Mawoot, Aumnart
Chitapanarux, Imjai
Trends in Female Breast Cancer by Age Group in the Chiang Mai Population
title Trends in Female Breast Cancer by Age Group in the Chiang Mai Population
title_full Trends in Female Breast Cancer by Age Group in the Chiang Mai Population
title_fullStr Trends in Female Breast Cancer by Age Group in the Chiang Mai Population
title_full_unstemmed Trends in Female Breast Cancer by Age Group in the Chiang Mai Population
title_short Trends in Female Breast Cancer by Age Group in the Chiang Mai Population
title_sort trends in female breast cancer by age group in the chiang mai population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5555555/
https://www.ncbi.nlm.nih.gov/pubmed/28612595
http://dx.doi.org/10.22034/APJCP.2017.18.5.1411
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