Breast Cancer in Lopburi, a Province in Central Thailand: Analysis of 2001-2010 Incidence and Future Trends

Sangkittipaiboon, Somphob; Leklob, Atit; Sriplung, Hutcha; Bilheem, Surichai

doi:10.7314/apjcp.2015.16.18.8359

Cited by 8 publications

(11 citation statements)

References 17 publications

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“…Over time, new advancements have been made in the health sector, but much remains to be done. Some prior studies conducted in China and Thailand had also reported similar kind of results 11,42,49,50 .…”

Section: China Indiasupporting

confidence: 71%

Trends and Projections in Breast Cancer Mortality among four Asian countries (1990–2017): Evidence from five Stochastic Mortality Models

Mubarik

Wang

Fawad

et al. 2020

Sci Rep

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The current study aimed to explore some important insights into the breast cancer mortality (BCM) trends and projections among four Asian countries by using five advanced stochastic mortality models. BCM data over 28 years from 1990-2017 with ages 20-84 were retrieved from the Global Burden of Disease (GBD) Study 2017 for four Asian countries, namely, China, India, Pakistan, and Thailand. Five stochastic mortality models with the family of generalized age-period-cohort were implemented to find the present and future BCM trends in these four Asian countries. Based on Cairns-Blake-Dowd (CBD) model and Lee-Carter model (LCM), overall, results revealed that BCM increased with the passage of time. Aging factor was the most influential factor of elevated BCM in each Asian country under consideration. Projection of BCM showed that mortality rates might continue to grow with time, especially in older ages in each Asian country under study. The highest forecasted BCM rates were observed in Pakistan as compared to other countries. The obvious increase in BCM suggested that earlier tactics should be implemented to reduce the subsequent morbidity and mortality due to breast cancer. The last but not least, some additional tactics to mitigate the BCM in older ages must be adopted. Breast cancer (BC) is a mutual malignancy worldwide and the second foremost source of cancer-related morbidity and mortality among Asian women contributing approximately 40% of BC worldwide. Asia being the largest Continent on the earth carries approximately 60% of the human population. Asia shows higher mortality to BC incidence ratio than western countries 1,2. According to a study conducted on BC differences in Asian regions, reported that BCM due to higher prevalence of BC risk factors like delayed childbirth, increased obesity and reduced parity increased among Asian women 3. Currently, a study reported the high body mass index as a significant risk factor of increased BC mortality among Chinese women 4. In developing Asian countries where BC is found at the older ages, mortality rate due to BC is higher than the Western countries 1,2. Being the top ranked populous country of Asia, China accounts for 25% of the overall deaths due to cancer especially in the younger population 5,6. Many studies on BC survey in China reported 36.1% of mortality increased from the 1970 to 2005 4,7 , inviting the researchers' attention for in-depth study on this matter. India is the second populous country in the world with the evidence of BCM as 12.7 per 100,000 patients 2,8. Pakistan is the seventh populated country worldwide and also included in the list of countries having high BC mortality rates. Various risk factors like economic, demographic, reproductive and social issues are contributing to an increased burden of BC. BC is a commonly diagnosed malignancy in Pakistan where one woman in every nine women is facing this brutal disease 6. Thailand is also facing the increased cancer-related burden 9. A study reported that women at age of 40 got

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Section: China Indiasupporting

confidence: 71%

Trends and Projections in Breast Cancer Mortality among four Asian countries (1990–2017): Evidence from five Stochastic Mortality Models

Mubarik

Wang

Fawad

et al. 2020

Sci Rep

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“…In two surveys in 2004 and 2009, the percentage of overweight, diabetes or hypertension was found to be increasing. The rate of parity and total fertility was 6 in 1970, 3 in 1985, 2 in 1998,and 1.6 in 2020 [13].…”

Section: Discussionmentioning

confidence: 94%

“…Although the trend of breast cancer incidence across most of the Asian countries is increasing, heterogeneity among countries is particularly apparent due to different health policies, regional behaviors, and genetic and lifestyle variety [6]. While the incidence rate of breast cancer has doubled or more in Korea, Singapore, Hong Kong and Japan, besides socioeconomic advancement [10] in the last decades [6,11], a substantial increase was found in China (2.96% per year) [12], Thailand [13] and Taiwan [3]; also, a gradual increase was reported in Sri Lanka [14], Pakistan [15], India [16], and…”

Section: % Of Deaths and 39% Of All New Cases Of Breast Cancer Havementioning

confidence: 99%

Clustering 46 Asian countries according to the trend of breast cancer incidence rate from 1990- 2016: An application of growth mixture model

Azadikhah¹,

Mehrabani²,

Shahraki³

2020

Preprint

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Breast cancer among Asian countries is the second cause of cancer death and remains as a challenging issue in woman health as 39% of all new cases of breast cancer have been diagnosed in Asia. The current study was devoted to recognize different patterns of breast cancer incidence rate among Asian countries. Information about the incidence rates of female breast cancer within 1990-2016 years was extracted from Gapminder web site and growth mixture model was developed to describe the growth patterns and provide a set of tools to investigate the individual differences in change. Our findings suggest an overall increasing trend throughout the continent, but individual trajectories show different behaviors among countries. Bayesian information creation showed that 3-cluster model was the best. Cluster one countries including: Bangladesh, Israel, Kyrgyz republic, Maldives, Nepal, North Korea, Tajikistan and Timor-Leste, the slope of -0.13 suggests a slight negative trend for the incidence rate of breast cancer. 17 countries including: Armenia, Bahrain, Brunei, Cyprus, Iraq, Japan, Jordan, Kazakhstan, Kuwait, Lebanon, Malaysia, Pakistan, Philippines, Qatar, Singapore, South Korea, United Arab Emirate which belongs to cluster 2, had not only a high intercept that means higher amounts of incidence rate in 1990 year, but also a slope of 0.96, indicating a sharp increase trajectory. Also slope of 0.38 showed a slow increase in the incidence rate of breast cancer over time for another 21 countries. In conclusion, increase of breast cancer incidence among cluster 2 countries is tremendous therefore effective strategies for prevention are urgently needed.

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“…). Following assessment, 68 articles, involving 708 032 patients across 71 LMICs, were included in the review ( Tables S1 and S2 , supporting information). Country‐specific patient numbers were reported in 60 studies but were absent from six and two provided total LMIC patient numbers only.…”

Section: Resultsmentioning

confidence: 99%

“…Outcomes following cancer surgery were common topics, including breast, gastric, colorectal and prostate cancer, and hepatocellular carcinoma. Cardiac surgery, caesarean section and genitourinary fistula were also well represented in included articles, whereas clinical presentations included burn management, trauma, appendicitis, groin hernias and orthopaedic fracture management.…”

Section: Resultsmentioning

confidence: 99%

Systematic review of the use of big data to improve surgery in low- and middle-income countries

Knight

Ots

Maimbo

et al. 2019

British Journal of Surgery

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Background Technological advances have led to the generation of large amounts of data, both in surgical research and practice. Despite this, it is unclear how much originates in low‐ and middle‐income countries (LMICs) and what barriers exist to the use of such data in improving surgical care. The aim of this review was to capture the extent and impact of programmes that use large volumes of patient data on surgical care in LMICs. Methods A PRISMA‐compliant systematic literature review of PubMed, Embase and Google Scholar was performed in August 2018. Prospective studies collecting large volumes of patient‐level data within LMIC settings were included and evaluated qualitatively. Results A total of 68 studies were included from 71 LMICs, involving 708 032 patients. The number of patients in included studies varied widely (from 335 to 428 346), with 25 reporting data on 3000 or more LMIC patients. Patient inclusion in large‐data studies in LMICs has increased dramatically since 2015. Studies predominantly involved Brazil, China, India and Thailand, with low patient numbers from Africa and Latin America. Outcomes after surgery were commonly the focus (33 studies); very few large studies looked at access to surgical care or patient expenditure. The use of large data sets specifically to improve surgical outcomes in LMICs is currently limited. Conclusion Large volumes of data are becoming more common and provide a strong foundation for continuing investigation. Future studies should address questions more specific to surgery.

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Breast Cancer in Lopburi, a Province in Central Thailand: Analysis of 2001-2010 Incidence and Future Trends

Cited by 8 publications

References 17 publications

Trends and Projections in Breast Cancer Mortality among four Asian countries (1990–2017): Evidence from five Stochastic Mortality Models

Trends and Projections in Breast Cancer Mortality among four Asian countries (1990–2017): Evidence from five Stochastic Mortality Models

Clustering 46 Asian countries according to the trend of breast cancer incidence rate from 1990- 2016: An application of growth mixture model

Systematic review of the use of big data to improve surgery in low- and middle-income countries

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