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      Breast Cancer Screening in Low- and Middle-Income Countries: A Perspective From Malawi

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          Abstract

          Breast cancer burden is high in low-resource countries. From 1980 to 2010, new breast cancer cases increased by more than 50% worldwide. 1 Disease burden increased even more rapidly in low- and middle-income countries (LMICs), where more than half of breast cancer cases now occur. Moreover, breast cancer disproportionately affects young women in LMICs, such that 23% of new breast cancer cases occur among women age 15 to 49 years in LMICs versus 10% in high-income countries. 1 Breast cancer mortality is also higher in LMICs compared with high-income countries, and reasons for this are multifactorial. One contributing factor is a lack of breast cancer awareness and early detection in LMICs. For example, more than 90% of women with newly diagnosed breast cancer in the United States have locoregional disease, whereas more than half of women with newly diagnosed breast cancers in LMICs have stage III or IV disease. 2,3 According to an analysis from the 2003 World Health Survey, only 2.2% of women age 40 to 69 years in LMICs had received any breast cancer screening. 4 In addition to insufficient early detection, other factors contributing to delayed diagnosis include poverty, cultural and religious beliefs, misconceptions about the disease, and fear of mastectomy. 5 Women's autonomy in health care decision making may also be limited in some cultures. 5 The WHO, along with many national cancer control programs, recommends population-based screening mammography for detection of early-stage breast cancer in high-income countries, even though there continues to be honest and sometimes heated debate regarding this recommendation. 6–8 It is worthwhile to consider the possible benefits versus harms of breast cancer screening in LMICs, which have received far less attention. In this commentary, we discuss breast cancer screening and early detection in LMICs with a particular focus on Malawi. We highlight areas of uncertainty and suggest pragmatic strategies for moving forward in light of current evidence gaps. Health care systems in LMICs may face strong incentives and pressure to adopt health care interventions such as screening mammography that are well established in high-resource settings, with implicit assumptions that benefits demonstrated in more developed countries will generalize to less developed countries. Such assumptions are inherently problematic and unrealistic in settings of severe resource scarcity. For example, there are compelling reasons to believe that breast cancer screening would perform differently in LMICs than in high-income countries. Factors that could reduce efficacy of breast cancer screening in LMICs include a younger population with lower breast cancer incidence, shorter life expectancy, more prevalent competing causes of death, and higher prevalence of biologically aggressive subtypes for which patient outcomes are less likely to be affected by screening. Conversely, breast cancer screening could have greater impact in LMICs if it increases breast cancer awareness and early detection of symptomatic disease. For example, there may be more diffuse effects than would be expected in resource-rich settings where strong health care systems and higher levels of awareness narrow the scope of breast cancer screening principally to detection of asymptomatic disease. Indeed, for weak health care systems, it is plausible that effects beyond breast cancer may be realized and may extend to cancer more generally or to women's health. Investments in HIV programs have similarly had far-reaching effects beyond providing antiretroviral therapy, and antiretroviral therapy clinics are now established vehicles for effective delivery of many other essential health services. In Malawi, commonly piggybacked health services in HIV clinics now include cervical cancer screening, Kaposi sarcoma treatment, nutritional supplementation, and reproductive health and mother-child wellness initiatives, all of which seek to maximize impacts from initial investments for HIV. Despite recent controversies about screening mammography in high-income countries and a scarcity of high-quality data for this approach in LMICs, it is often assumed that wherever mammography is available, it must benefit women. This may be the case, even when screening is available only in the private sector without clearly defined eligibility guidelines, quality control measures, or follow-up procedures. 9 Examples of this exist in Malawi, where a major intersection in Lilongwe (the capital) features a billboard advertising screening mammography in a private clinic promoted by a famous young Malawian breast-cancer survivor. However, the cost of a screening mammogram in Lilongwe is approximately US$90 in a country with an annual gross domestic product per capita of US$253. 10 Moreover, screening is often directly marketed to and used for women who can pay for it, without clear eligibility criteria accounting for age, comorbidities, or projected life expectancy. In Lilongwe, mammography sponsors have distributed coupons for discounted screening mammography at public breast cancer awareness events to unselected audiences of women primarily in their 20s and 30s. Benefits of screening mammography have not been clearly demonstrated for average-risk women in these age groups anywhere in the world, nor is it recommended for them in consensus guidelines. In addition, LMICs often lack the necessary infrastructure to ensure high-quality mammography and subsequent follow-up care. 11 Operating a mammography unit continuously requires a consistent supply of electricity and x-ray films, as well as engineers, technicians, and radiologists, all of which may be lacking in many LMICs. Four mammography units were donated to Malawi in 2012, one to each tertiary referral hospital, with the intent to provide the first publicly available mammography services in the country, but these units have yet to become operational. 12 Mammography screening programs have also been estimated to cost US$16,000 to US$37,000 per life saved, which exceeds per capita health care budgets in many LMICs by a significant margin. 9,13 International guidelines recommend clinical breast examination (CBE) as a preferred approach to screening in settings in which mammography screening is not available. 5,14 Even in high-resource settings, there is some evidence that annual CBE might be as effective as screening mammography in lowering breast cancer mortality. 15-18 Relative advantages for mammography versus CBE with respect to implementation are detailed in Table 1. Table 1 Relative Advantages of Mammography Versus Clinical Breast Examination as Screening Approaches in Low- and Middle-Income Countries In LMICs, two clinical trials in Egypt found that CBE conducted by physicians was effective and cost-effective in rural and urban areas. 19,20 In Malaysia, training rural nurses to perform CBE resulted in significant breast cancer downstaging (77% v 37% late-stage diagnoses). 21 In an ongoing cluster-randomized trial in India, CBE performed by female community health care workers detected more early-stage (I to IIA) cancers (18.8 v 8.1 per 100,000 women) in intervention versus control villages; no differences were observed for stage IIB and higher-stage cancers. 22 A cross-sectional study in Nepal comparing CBE performed by female community health care workers with examinations by surgeons reported interobserver agreement of 64% for lump detection, with 70% sensitivity and 95% specificity. 23 Moreover, modeling studies have suggested that CBE is cost-effective in low-resource settings. 24,25 In addition to health care workers, lay volunteers can also be trained to perform CBE. A study in rural Sudan screened approximately 10,000 women age 18 years or older by using this approach. Seventeen of those screened had carcinoma in situ or breast cancer, including eight with carcinoma in situ and four with early-stage breast cancer. In control villages, only four women self-referred for breast symptoms, three of whom had advanced-stage breast cancer. 26 In Tanzania, laypersons in villages were trained to provide screening for a variety of cancers by using basic history and physical examination. After 3 years, breast cancer downstaging was one of the most significant results of the program, evidenced by a 74% increase in stage I to II breast tumors. 27 In LMICs where health care systems are significantly weakened by limited resources and human capacity, it is worth emphasizing that anticipated impacts of widespread breast cancer screening would not be limited to detecting asymptomatic disease. For example, in Malawi, 47% of women with pathologically confirmed breast cancer at the tertiary referral hospital in Lilongwe had symptom durations greater than 12 months, 28 and only 44% of randomly selected women from rural and urban areas in the Lilongwe district were aware of breast cancer as a disease. 29 Therefore, if CBE were effectively scaled up throughout Malawi in a manner that engages communities with effective downstream referral, anticipated benefits might be large with respect to improved cancer awareness and earlier identification of unaddressed, prevalent, symptomatic disease. In addition, there may be collateral effects on other public health problems apart from breast cancer, including promotion of healthier lifestyles among women as well as increased cancer awareness and destigmatization. These off-target effects of breast cancer screening are no less important simply because they are harder to define and measure than the number of early-stage breast cancers diagnosed. Classical cancer screening paradigms and messaging must be adapted to the LMIC context. The HIV implementation science field now champions pragmatic scale-up of proven multicomponent interventions to maximize population-level outcomes in LMICs. Similar approaches may be attractive for cancer screening as well. We are currently conducting a pilot breast cancer education and CBE screening intervention in Lilongwe among women attending diverse health clinics. The major objectives are to assess uptake and feasibility of packaging CBE with other health services, performance characteristics of CBE performed by trained lay breast health promoters, and completion rates for referrals among women with detected abnormalities. These preliminary data will help inform wider scale-up of breast cancer awareness and screening efforts throughout Malawi. Even as the screening mammography debate evolves in resource-rich settings, mammography is being actively promoted and implemented in many resource-limited countries in the world, including Malawi. We believe there is agreement within the global health community that high breast cancer burden and mortality in LMICs require an urgent response, but competing health needs and local realities require that available resources be optimally used to provide the best value for populations overall. This may be particularly true, given that several breast cancer screening approaches are available that can be packaged together in varying combinations. We believe more evidence is needed to guide large-scale breast cancer screening approaches in LMICs under varying socioeconomic and cultural conditions, and we emphasize that although CBE has been shown to result in cancer downstaging in LMIC settings, effects on breast cancer–specific mortality remain unclear. Limited cancer diagnosis, treatment, and registration throughout LMICs also limit the impact of screening interventions as well as metrics for their evaluation and must be simultaneously strengthened. We eagerly await results of ongoing studies, including our own work, to define optimal approaches in Malawi, with the expectation that successful strategies here may be quite different from those in other LMIC settings.

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          Most cited references26

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          Twenty five year follow-up for breast cancer incidence and mortality of the Canadian National Breast Screening Study: randomised screening trial

          Objective To compare breast cancer incidence and mortality up to 25 years in women aged 40-59 who did or did not undergo mammography screening. Design Follow-up of randomised screening trial by centre coordinators, the study’s central office, and linkage to cancer registries and vital statistics databases. Setting 15 screening centres in six Canadian provinces,1980-85 (Nova Scotia, Quebec, Ontario, Manitoba, Alberta, and British Columbia). Participants 89 835 women, aged 40-59, randomly assigned to mammography (five annual mammography screens) or control (no mammography). Interventions Women aged 40-49 in the mammography arm and all women aged 50-59 in both arms received annual physical breast examinations. Women aged 40-49 in the control arm received a single examination followed by usual care in the community. Main outcome measure Deaths from breast cancer. Results During the five year screening period, 666 invasive breast cancers were diagnosed in the mammography arm (n=44 925 participants) and 524 in the controls (n=44 910), and of these, 180 women in the mammography arm and 171 women in the control arm died of breast cancer during the 25 year follow-up period. The overall hazard ratio for death from breast cancer diagnosed during the screening period associated with mammography was 1.05 (95% confidence interval 0.85 to 1.30). The findings for women aged 40-49 and 50-59 were almost identical. During the entire study period, 3250 women in the mammography arm and 3133 in the control arm had a diagnosis of breast cancer, and 500 and 505, respectively, died of breast cancer. Thus the cumulative mortality from breast cancer was similar between women in the mammography arm and in the control arm (hazard ratio 0.99, 95% confidence interval 0.88 to 1.12). After 15 years of follow-up a residual excess of 106 cancers was observed in the mammography arm, attributable to over-diagnosis. Conclusion Annual mammography in women aged 40-59 does not reduce mortality from breast cancer beyond that of physical examination or usual care when adjuvant therapy for breast cancer is freely available. Overall, 22% (106/484) of screen detected invasive breast cancers were over-diagnosed, representing one over-diagnosed breast cancer for every 424 women who received mammography screening in the trial.
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            Overdiagnosis in publicly organised mammography screening programmes: systematic review of incidence trends

            Objective To estimate the extent of overdiagnosis (the detection of cancers that will not cause death or symptoms) in publicly organised screening programmes. Design Systematic review of published trends in incidence of breast cancer before and after the introduction of mammography screening. Data sources PubMed (April 2007), reference lists, and authors. Review methods One author extracted data on incidence of breast cancer (including carcinoma in situ), population size, screening uptake, time periods, and age groups, which were checked independently by the other author. Linear regression was used to estimate trends in incidence before and after the introduction of screening and in older, previously screened women. Meta-analysis was used to estimate the extent of overdiagnosis. Results Incidence data covering at least seven years before screening and seven years after screening had been fully implemented, and including both screened and non-screened age groups, were available from the United Kingdom; Manitoba, Canada; New South Wales, Australia; Sweden; and parts of Norway. The implementation phase with its prevalence peak was excluded and adjustment made for changing background incidence and compensatory drops in incidence among older, previously screened women. Overdiagnosis was estimated at 52% (95% confidence interval 46% to 58%). Data from three countries showed a drop in incidence as the women exceeded the age limit for screening, but the reduction was small and the estimate of overdiagnosis was compensated for in this review. Conclusions The increase in incidence of breast cancer was closely related to the introduction of screening and little of this increase was compensated for by a drop in incidence of breast cancer in previously screened women. One in three breast cancers detected in a population offered organised screening is overdiagnosed.
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              Clinical breast examination: preliminary results from a cluster randomized controlled trial in India.

              A cluster randomized controlled trial was initiated in the Trivandrum district (Kerala, India) on January 1, 2006, to evaluate whether three rounds of triennial clinical breast examination (CBE) can reduce the incidence rate of advanced disease incidence and breast cancer mortality. A total of 275 clusters that included 115,652 healthy women, aged 30-69 years, were randomly allocated to intervention (CBE; 133 clusters; 55,844 women) or control (no screening; 142 clusters; 59,808 women) groups. Performance characteristics (sensitivity, specificity, false-positive rate, and positive predictive value) of CBE were evaluated. An intention-to-treat analysis was performed for comparison of incidence rates between the intervention and control groups. Preliminary results for incidence are based on follow-up until May 31, 2009, when the first round of screening was completed. Of the 50,366 women who underwent CBE, 30 breast cancers were detected among 2880 women with suspicious findings in CBE screening that warranted further investigations. Sensitivity, specificity, false-positive rate, and positive predictive value of CBE were 51.7% (95% confidence interval [CI] = 38.2% to 65.0%), 94.3% (95% CI = 94.1% to 94.5%), 5.7% (95% CI = 5.5% to 5.9%), and 1.0% (95% CI = 0.7% to 1.5%), respectively. The age-standardized incidence rates for early-stage (stage IIA or lower) breast cancer were 18.8 and 8.1 per 100,000 women and for advanced-stage (stage IIB or higher) breast cancer were 19.6 and 21.7 per 100,000 women, in the intervention and control groups, respectively.
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                Author and article information

                Journal
                J Glob Oncol
                J Glob Oncol
                jgo
                jgo
                JGO
                Journal of Global Oncology
                American Society of Clinical Oncology
                2378-9506
                February 2016
                23 December 2015
                : 2
                : 1
                : 4-8
                Affiliations
                [1] Lily A. Gutnik, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY; Lily A. Gutnik, Blandina Khondowe, Agnes Moses, and Satish Gopal, UNC–Project Malawi; Beatrice Matanje-Mwagomba, Malawi Ministry of Health; Vanessa Msosa and Suzgo Mzumara, Kamuzu Central Hospital, Lilongwe; Suzgo Mzumara and Agnes Moses, University of Malawi College of Medicine, Blantyre, Malawi; Racquel E. Kohler, Gillings School of Global Public Health; Lisa A. Carey, Clara N. Lee, and Satish Gopal, Lineberger Comprehensive Cancer Center; and Satish Gopal, Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC.
                Author notes
                Corresponding author: Satish Gopal, MD, MPH, UNC–Project Malawi, Private Bag A-104, Lilongwe, Malawi; e-mail: satish_gopal@ 123456med.unc.edu .
                Article
                000430
                10.1200/JGO.2015.000430
                5497737
                28717676
                6b0de961-724b-4d4a-83e7-83c47134fda3
                © 2015 by American Society of Clinical Oncology

                Licensed under the Creative Commons Attribution 4.0 License: http://creativecommons.org/licenses/cc-by/4.0/.

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                Figures: 0, Tables: 1, Equations: 0, References: 29, Pages: 5
                Categories
                Epidemiology
                Diagnosis & Staging
                Population and observational studies (SEER, WHI observational, etc.)
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