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International organizations and agencies have recognized the need to broaden their focus from infectious diseases to address the rising impact of noncommunicable diseases (NCDs) on global health in low- and middle-income countries. The United Nations (UN) held a historic high-level meeting on September 19, 2011, to consider the prevention and control of NCDs with the aim to adopt a concise, action-oriented outcome document that will shape the global agendas for generations to come.1 New attention is being directed toward heart disease, lung disease, diabetes, and cancer as problems to address in countries at all economic levels. However, specific cancer control recommendations by the UN and the World Health Organization (WHO) have been largely limited to prevention strategies and only superficially address cancer diagnosis and treatment strategies. The NCD political declaration mentions cancer generally and promotes “increased access to cost-effective cancer screening programmes, as determined by national situations”1(p7) but otherwise gives little or no guidance about how diagnosed cancers should be managed. To improve cancer care, it is critical to have good assessments of the global burden of cancer to provide an actionable framework for health policy makers, particularly in low- and middle-income countries, where health resources are limited and competing health demands are great.
Cause-specific cancer incidence and mortality statistics are essential to the development of appropriately targeted cancer plans. Ideally, international cancer statistics would be provided through high-quality population-based cancer registries strategically located around the globe. Unfortunately, such registries do not exist in much of the world, especially in low- and middle-income countries. The International Agency for Research on Cancer (IARC) publishes the Cancer Incidence in Five Continents (CI5) series, now in its 10th volume,2 which is the world’s compendium of high-quality population-based cancer registries. Only 14% of the world’s population is covered by population-based cancer registries that fulfill the CI5 inclusion criteria, with even less coverage in Asia (5%) and Africa (2%). Alternate methods to assessing cancer incidence, mortality, and other vital statistics are necessary and important. In response to this imperative, IARC created the GLOBOCAN model, now in its fifth iteration (GLOBOCAN 2012),3 to provide statistical estimates for cancer incidence and mortality based on best-available data for cancer incidence and mortality at the national level in assembling regional and global profiles. In this most recent iteration, IARC introduced an alphanumeric scoring system that provides information on the availability and quality of cancer incidence and mortality sources at the country level.
From a health policy perspective, disease management has to be adjusted according to overall health needs of a population, rather than be based on one specific disease or group of diseases. While cancer incidence, mortality, and other vital statistics are important, they need to be assessed in a broader context of general health needs. In their global burden of disease (GBD) study, the Institute for Health Metrics and Evaluation (IHME), led by Murray and colleagues,4 developed a unique systematic analysis approach to assess global and regional causes of death, years of life lost, and disability from disease and injury for countries around the world at all economic levels.5-7 These mathematically rigorous and elegant methods provide insights to disease burden that previously could only loosely be approximated. In this issue of JAMA Oncology, the Global Burden of Disease Cancer Collaboration8 presents the first GBD analysis by IHME of overall global cancer burden. Key questions that arise are (1) How do the outcomes of GBD analysis for cancer compare with cancer registry methodology developed by IARC, heretofore considered by most to be the gold standard? and (2) What new information might be gleaned to inform policy makers attempting to make headway in limiting avoidable, premature death and decreasing individual disability related to cancer?
In developing GBD methodology, IHME has created unique methods for assessing disease burden from broad data sets. The massive data crunching is systematic and comprehensive, but at the same time considers lower-level data than what is seen in high-quality population-based cancer registries. In the current GBD cancer study,8 37% of the data comes from registries, but only half met high-quality eligibility criteria for CI5. This implies that 80% of GBD data comes from “other sources” and lower-quality cancer registries, which, even with postcollection quality-improvement data processing, could limit primary data precision, especially in performing subset analysis, where analytic data errors can become amplified.
In oncology, diagnostic accuracy is a critical issue for developing cancer treatment strategies. Cancer registries are linked to surgical pathology assessments. While some cancers may be amenable to accurate diagnosis through clinical evaluation or simple diagnostic testing, most cancers can be difficult to specify in the absence of tissue diagnosis. The GBD investigators provide estimates of years of life lost for different cancers, some of which showed little change in ranking over the study years (eg, lung, colon, breast, esophagus, ovarian, uterine, melanoma), whereas others had marked variation in rank order (eg, pancreatic, bladder, gall bladder, Hodgkin lymphoma, myeloma). These variations in the latter group could reflect differences in cancer prevalence, biology, and/or treatment but may alternatively relate to diagnostic inaccuracy, because all of the cancers with variations in rank order require higher-quality imaging studies and/or pathology assessment for definitive diagnosis. Histologically different cancers that present in adjacent anatomic locations and/or with similar signs and symptoms could easily be confused. Without histologic evidence confirming malignant tissue diagnosis, mortality causation assessment tools cannot reliably differentiate between primary liver cancer, gall bladder cancer, pancreatic cancer, and cancer metastatic to liver, all of which have similar clinical presentations. Because accurate tissue diagnosis is fundamental to cancer registry methodology but is not required in GBD analysis, the GBD approach developed by IHME seems unlikely to achieve the diagnostic precision of a pure cancer registry–based method. These findings highlight the importance for strengthening global pathology and imaging services in conjunction with expanding cancer registration data systems throughout the world, which could benefit both GLOBOCAN and GBD estimates.
While GBD estimates of global cancer burden are unlikely to displace or replace CI5 and GLOBOCAN statistics, the profound benefits of GBD methodology should not be overlooked or underappreciated in the oncology community. When IHME published their results regarding breast and cervical cancer in 2011,10 their study was promptly criticized for having findings that varied from those of cancer registry data in general and GLOBOCAN in specific.11 Certainly, when GBD outcomes vary considerably from GLOBOCAN, the reasons for these differences are worthy of evaluation. In low- and middle-income countries, cancer patients may go uncounted in cancer registries, because they die of advanced disease before interfacing with the health care system. As a result, GBD can correctly identify cancer mortality in populations that CI5 and GLOBOCAN will miss. It may be that in some circumstances, GBD estimates may be more accurate in reflecting overall cancer impact.
The oncology community would be unwise to interpret GLOBOCAN and GBD methodologies as competitive or mutually exclusive. The most important outcome for all of this work is to provide a framework for improving cancer care delivery. For the first time, GBD offers a powerful methodology that permits a direct comparison between cancer and other diseases and provides estimates for both disease prevalence and trends over time, which are essential in determining overall health burden to society. This comparative perspective is critical for communicating with health care and finance ministers, who are required to allocate scarce health care resources and may in the past have overlooked cancer as being “too expensive” or invariably fatal, without a complete evaluation of what could be done with limited health care resources to realistically improve outcomes at the systems level.
Because cancer can occur in young people and creates significant disability prior to death, the social impact as measured by disability-adjusted life-years (DALYs) is staggering. The current GBD findings8 inform us that of the more than 14 million new cancer cases and more than 8 million cancer deaths in 2013, 56% of new cancer cases, 62% of cancer deaths, and 69% of cancer-caused DALYs occurred in developing countries. Global burden of disease methodology suggests that cancer caused an astonishing 196.3 million DALYs in 2013 alone. Key decision makers and funding authorities may be increasingly persuaded by this big-picture presentation on the burden of cancer in the developing world and could feel compelled to allocate resources to support effective cancer treatment strategies that in the past went unfunded. Seen from this perspective, the findings of GBD 20138 and GLOBOCAN 20123 should be seen as complementary and synergistic, particularly as we look at methods for improving cancer control at the global level. The data matters most when it causes us to act.
Corresponding Author: Benjamin O. Anderson, MD, Department of Surgery, University of Washington, PO Box 356410, Seattle, WA 98195 (firstname.lastname@example.org).
Published Online: May 28, 2015. doi:10.1001/jamaoncol.2015.1426.
Conflict of Interest Disclosures: None reported.
Anderson BO, Flanigan J. Novel Methods for Measuring Global Cancer Burden: Implications for Global Cancer Control. JAMA Oncol. 2015;1(4):425–427. doi:10.1001/jamaoncol.2015.1426
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