Global childhood cancer survival estimates and priority-setting: a simulation-based analysis

被引:168
作者
Ward, Zachary J. [1 ]
Yeh, Jennifer M. [3 ,5 ]
Bhakta, Nickhill [6 ]
Frazier, A. Lindsay [7 ]
Girardi, Fabio [8 ]
Atun, Rifat [2 ,4 ]
机构
[1] Harvard Univ, Ctr Hlth Decis Sci, Harvard TH Chan Sch Publ Hlth, Boston, MA 02115 USA
[2] Harvard Univ, Dept Global Hlth & Populat, Harvard TH Chan Sch Publ Hlth, Boston, MA 02115 USA
[3] Harvard Univ, Dept Pediat, Harvard Med Sch, Boston, MA 02115 USA
[4] Harvard Univ, Dept Global Hlth & Social Med, Harvard Med Sch, Boston, MA 02115 USA
[5] Boston Childrens Hosp, Div Gen Pediat, Boston, MA USA
[6] St Jude Childrens Res Hosp, Dept Global Pediat Med, 332 N Lauderdale St, Memphis, TN 38105 USA
[7] Dana Farber Boston Childrens Canc & Blood Disorde, Boston, MA USA
[8] London Sch Hyg & Trop Med, Canc Survival Grp, Dept Noncommunicable Dis Epidemiol, London, England
关键词
POPULATION-BASED REGISTRIES; CHILDREN; ACCESS; CARE; SURVEILLANCE; COUNTRIES; MORTALITY; LEUKEMIA; BURDEN; MODELS;
D O I
10.1016/S1470-2045(19)30273-6
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background Accurate childhood cancer survival estimates are crucial for policy makers and clinicians for priority setting and planning decisions. However, observed survival estimates are lacking for many countries, and when available, wide variation in outcomes is reported. Understanding the barriers to optimising survival can help improve childhood cancer outcomes. We aimed to provide estimates of global childhood cancer survival, accounting for the impact of multiple factors that affect cancer outcomes in children. Methods We developed a microsimulation model to simulate childhood cancer survival for 200 countries and territories worldwide, accounting for clinical and epidemiologic factors, including country-specific treatment variables, such as availability of chemotherapy, radiation, and surgery. To ensure model results were consistent with reported survival data, we calibrated the model to estimates from the CONCORD-2 and CONCORD-3 studies using an Approximate Bayesian Computation approach. We estimated 5-year net survival for diagnosed cases of childhood cancer in each country and territory and estimated potential survival gains of seven policy interventions focused on improving treatment availability and delivery (ie, increasing the availability of chemotherapy, radiation, general surgery, neurosurgery, or ophthalmic surgery, reducing treatment abandonment, and improving the quality of care to the mean of high-income countries) implemented in isolation or as packages. Findings Our model estimated that, for diagnosed cases, global 5-year net childhood cancer survival is currently 37.4% (95% uncertainty interval 34.7-39.8), with large variation by region, ranging from 8.1% (4.4-13.7) in eastern Africa to 83.0% (81.6-84.4) in North America. Among the seven policy interventions modelled, each individually provided small gains, increasing global 5-year net survival to between 38.4% (35.8-40.9) and 44.6% (41.7-47.4). 5-year net survival increased more substantially when policy interventions were bundled into packages that improved service delivery (5-year net survival 50.2% [47.3-53.0]) or that expanded treatment access (54.1% [50.1-58.5]). A comprehensive systems approach consisting of all policy interventions yielded superadditive gains with a global 5-year net survival of 53.6% (51.5-55.6) at 50% scale-up and 80.8% (79.5-82.1) at full implementation. Interpretation Childhood cancer survival varies widely by region, with especially poor survival in Africa. Although expanding access to treatment (chemotherapy, radiation, and surgery) and addressing financial toxicity are essential, investments that improve the quality of care, at both the health-system and facility level, are needed to improve childhood cancer outcomes globally.
引用
收藏
页码:972 / 983
页数:12
相关论文
共 28 条
[1]   Global access to surgical care: a modelling study [J].
Alkire, Blake C. ;
Raykar, Nakul P. ;
Shrime, Mark G. ;
Weiser, Thomas G. ;
Bickler, Stephen W. ;
Rose, John A. ;
Nutt, Cameron T. ;
Greenberg, Sarah L. M. ;
Kotagal, Meera ;
Riesel, Johanna N. ;
Esquivel, Micaela ;
Uribe-Leitz, Tarsicio ;
Molina, George ;
Roy, Nobhojit ;
Meara, John G. ;
Farmer, Paul E. .
LANCET GLOBAL HEALTH, 2015, 3 (06) :E316-E323
[2]   Global surveillance of trends in cancer survival 2000-14 (CONCORD-3): analysis of individual records for 37 513 025 patients diagnosed with one of 18 cancers from 322 population-based registries in 71 countries [J].
Allemani, Claudia ;
Matsuda, Tomohiro ;
Di Carlo, Veronica ;
Harewood, Rhea ;
Matz, Melissa ;
Niksic, Maja ;
Bonaventure, Audrey ;
Valkov, Mikhail ;
Johnson, Christopher J. ;
Esteve, Jacques ;
Ogunbiyi, Olufemi J. ;
Azevedo e Silva, Gulnar ;
Chen, Wan-Qing ;
Eser, Sultan ;
Engholm, Gerda ;
Stiller, Charles A. ;
Monnereau, Alain ;
Woods, Ryan R. ;
Visser, Otto ;
Lim, Gek Hsiang ;
Aitken, Joanne ;
Weir, Hannah K. ;
Coleman, Michel P. .
LANCET, 2018, 391 (10125) :1023-1075
[3]   Global surveillance of cancer survival 1995-2009: analysis of individual data for 25 676 887 patients from 279 population-based registries in 67 countries (CONCORD-2) [J].
Allemani, Claudia ;
Weir, Hannah K. ;
Carreira, Helena ;
Harewood, Rhea ;
Spika, Devon ;
Wang, Xiao-Si ;
Bannon, Finian ;
Ahn, Jane V. ;
Johnson, Christopher J. ;
Bonaventure, Audrey ;
Marcos-Gragera, Rafael ;
Stiller, Charles ;
Azevedo e Silva, Gulnar ;
Chen, Wan-Qing ;
Ogunbiyi, Olufemi J. ;
Rachet, Bernard ;
Soeberg, Matthew J. ;
You, Hui ;
Matsuda, Tomohiro ;
Bielska-Lasota, Magdalena ;
Storm, Hans ;
Tucker, Thomas C. ;
Coleman, Michel P. .
LANCET, 2015, 385 (9972) :977-1010
[4]  
[Anonymous], JGO
[5]  
[Anonymous], 2016, GLOB NEUR WORKF MAP
[6]  
[Anonymous], 1990, MEDICARE STRATEGY QU
[7]  
[Anonymous], 2013, BAYESIAN DATA ANAL, DOI DOI 10.1201/B16018
[8]   Expanding global access to radiotherapy [J].
Atun, Rifat ;
Jaffray, David A. ;
Barton, Michael B. ;
Bray, Freddie ;
Baumann, Michael ;
Vikram, Bhadrasain ;
Hanna, Timothy P. ;
Knaul, Felicia M. ;
Lievens, Yolande ;
Lui, Tracey Y. M. ;
Milosevic, Michael ;
O'Sullivan, Brian ;
Rodin, Danielle L. ;
Rosenblatt, Eduardo ;
Van Dyk, Jacob ;
Yap, Mei Ling ;
Zubizarreta, Eduardo ;
Gospodarowicz, Mary .
LANCET ONCOLOGY, 2015, 16 (10) :1153-1186
[9]  
Barber RM, 2017, LANCET, V390, P231, DOI [10.1016/S0140-6736(17)30818-8, 10.1016/s0140-6736(17)30818-8]
[10]   Worldwide comparison of survival from childhood leukaemia for 1995-2009, by subtype, age, and sex (CONCORD-2): a population-based study of individual data for 89 828 children from 198 registries in 53 countries [J].
Bonaventure, Audrey ;
Harewood, Rhea ;
Stiller, Charles A. ;
Gatta, Gemma ;
Clavel, Jacqueline ;
Stefan, Daniela C. ;
Carreira, Helena ;
Spika, Devon ;
Marcos-Gragera, Rafael ;
Peris-Bonet, Rafael ;
Pineros, Marion ;
Sant, Milena ;
Kuehni, Claudia E. ;
Murphy, Michael F. G. ;
Coleman, Michel P. ;
Allemani, Claudia .
LANCET HAEMATOLOGY, 2017, 4 (05) :E202-E217