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Sivaram S, Majumdar G, Perin D, Nessa A, Broeders M, Lynge E, Saraiya M, Segnan N, Sankaranarayanan R, Rajaraman P, Trimble E, Taplin S, Rath GK, Mehrotra R. Population-based cancer screening programmes in low-income and middle-income countries: regional consultation of the International Cancer Screening Network in India. Lancet Oncol 2018; 19:e113-e122. [PMID: 29413465 PMCID: PMC5835355 DOI: 10.1016/s1470-2045(18)30003-2] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2017] [Revised: 10/17/2017] [Accepted: 11/16/2017] [Indexed: 12/16/2022]
Abstract
The reductions in cancer morbidity and mortality afforded by population-based cancer screening programmes have led many low-income and middle-income countries to consider the implementation of national screening programmes in the public sector. Screening at the population level, when planned and organised, can greatly benefit the population, whilst disorganised screening can increase costs and reduce benefits. The International Cancer Screening Network (ICSN) was created to share lessons, experience, and evidence regarding cancer screening in countries with organised screening programmes. Organised screening programmes provide screening to an identifiable target population and use multidisciplinary delivery teams, coordinated clinical oversight committees, and regular review by a multidisciplinary evaluation board to maximise benefit to the target population. In this Series paper, we report outcomes of the first regional consultation of the ICSN held in Agartala, India (Sept 5-7, 2016), which included discussions from cancer screening programmes from Denmark, the Netherlands, USA, and Bangladesh. We outline six essential elements of population-based cancer screening programmes, and share recommendations from the meeting that policy makers might want to consider before implementation.
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Affiliation(s)
- Sudha Sivaram
- Public Health Research Branch, Center for Global Health, US National Cancer Institute, Rockville, MD, USA.
| | | | - Douglas Perin
- Public Health Research Branch, Center for Global Health, US National Cancer Institute, Rockville, MD, USA
| | - Ashrafun Nessa
- Department of Obstetrics and Gynecology, Bangabandhu Sheikh, Mujib Medical University, Shahbag, Dhaka, Bangladesh
| | - Mireille Broeders
- Department for Health Evidence, Radboudumc, and Dutch Expert Centre for Screening, Nijmegen, Netherlands
| | - Elsebeth Lynge
- Center of Epidemiology and Screening, University of Copenhagen, Copenhagen, Denmark
| | - Mona Saraiya
- Division of Cancer Prevention and Control, US Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Nereo Segnan
- Center for Epidemiology and Prevention in Oncology, CPO Piemonte, WHO Collaborative Center for Cancer Early Diagnosis and Screening, University Hospital Città della Salute e della Scienza, Turin, Italy
| | - Rengaswamy Sankaranarayanan
- Screening Group, International Agency for Research on Cancer, Lyon, France; RTI International-India, New Delhi, India
| | - Preetha Rajaraman
- Office of Global Affairs, US Department of Health and Human Services, US Embassy, New Delhi, India
| | - Edward Trimble
- Public Health Research Branch, Center for Global Health, US National Cancer Institute, Rockville, MD, USA
| | - Stephen Taplin
- Public Health Research Branch, Center for Global Health, US National Cancer Institute, Rockville, MD, USA
| | - G K Rath
- Rotary Cancer Center, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India
| | - Ravi Mehrotra
- National Institute of Cancer Prevention and Research, and WHO-Framework Convention on Tobacco Control Smokeless Tobacco Global Knowledge Hub, National Capital Region, India
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Ellison-Loschmann L, McKenzie F, Highnam R, Cave A, Walker J, Jeffreys M. Age and ethnic differences in volumetric breast density in new zealand women: a cross-sectional study. PLoS One 2013; 8:e70217. [PMID: 23936166 PMCID: PMC3729838 DOI: 10.1371/journal.pone.0070217] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2012] [Accepted: 06/19/2013] [Indexed: 11/20/2022] Open
Abstract
Breast cancer incidence differs by ethnicity in New Zealand (NZ) with Māori (the indigenous people) women having the highest rates followed by Pakeha (people primarily of British/European descent), Pacific and Asian women, who experience the lowest rates. The reasons for these differences are unclear. Breast density, an important risk factor for breast cancer, has not previously been studied here. We used an automated system, Volpara™, to measure breast density volume from the medio-lateral oblique view of digital mammograms, by age (≤50 years and >50 years) and ethnicity (Pakeha/Māori/Pacific/Asian) using routine data from the national screening programme: age; x-ray system and mammography details for 3,091 Pakeha, 716 Māori, 170 Pacific and 662 Asian (total n = 4,239) women. Linear regression of the natural logarithm of absolute and percent density values was used, back-transformed and expressed as the ratio of the geometric means. Covariates were age, x-ray system and, for absolute density, the natural log of the volume of non-dense tissue (a proxy for body mass index). Median age for Pakeha women was 55 years; Māori 53 years; and Pacific and Asian women, 52 years. Compared to Pakeha women (reference), Māori had higher absolute volumetric density (1.09; 95% confidence interval [95% CI] 1.03-1.15) which remained following adjustment (1.06; 95% CI 1.01-1.12) and was stronger for older compared to younger Māori women. Asian women had the greatest risk of high percentage breast density (1.35; 95% CI 1.27-1.43) while Pacific women in both the ≤50 and >50 year age groups (0.78; 95% CI 0.66-0.92 and 0.81; 95% CI 0.71-0.93 respectively) had the lowest percentage breast density compared to Pakeha. As well as expected age differences, we found differential patterns of breast density by ethnicity consistent with ethnic differences seen in breast cancer risk. Breast density may be a contributing factor to NZ's well-known, but poorly explained, inequalities in breast cancer incidence.
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