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

被引:169
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
[11]   Model Parameter Estimation and Uncertainty Analysis: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force Working Group-6 [J].
Briggs, Andrew H. ;
Weinstein, Milton C. ;
Fenwick, Elisabeth A. L. ;
Karnon, Jonathan ;
Sculpher, Mark J. ;
Paltiel, A. David .
MEDICAL DECISION MAKING, 2012, 32 (05) :722-732
[12]   Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012 [J].
Ferlay, Jacques ;
Soerjomataram, Isabelle ;
Dikshit, Rajesh ;
Eser, Sultan ;
Mathers, Colin ;
Rebelo, Marise ;
Parkin, Donald Maxwell ;
Forman, David ;
Bray, Freddie .
INTERNATIONAL JOURNAL OF CANCER, 2015, 136 (05) :E359-E386
[13]  
Fitzmaurice C, 2017, JAMA ONCOL, V3, P524, DOI [10.1001/jamaoncol.2016.5688, 10.1001/jamaoncol.2018.2706]
[14]   Magnitude of Treatment Abandonment in Childhood Cancer [J].
Friedrich, Paola ;
Lam, Catherine G. ;
Itriago, Elena ;
Perez, Rafael ;
Ribeiro, Raul C. ;
Arora, Ramandeep S. .
PLOS ONE, 2015, 10 (09)
[15]   SIOP PODC: Recommendations for supportive care of children with cancer in a low-income setting [J].
Israels, Trijn ;
Renner, Lorna ;
Hendricks, Marc ;
Hesseling, Peter ;
Howard, Scott ;
Molyneux, Elizabeth .
PEDIATRIC BLOOD & CANCER, 2013, 60 (06) :899-904
[16]   OPTIMIZATION BY SIMULATED ANNEALING [J].
KIRKPATRICK, S ;
GELATT, CD ;
VECCHI, MP .
SCIENCE, 1983, 220 (4598) :671-680
[17]   Time for a quality revolution in global health [J].
Kruk, Margaret E. ;
Larson, Elysia ;
Twum-Danso, Nana A. Y. .
LANCET GLOBAL HEALTH, 2016, 4 (09) :E594-E596
[18]   A tutorial introduction to Bayesian inference for stochastic epidemic models using Approximate Bayesian Computation [J].
Kypraios, Theodore ;
Neal, Peter ;
Prangle, Dennis .
MATHEMATICAL BIOSCIENCES, 2017, 287 :42-53
[19]   Novel variants in NUDT15 and thiopurine intolerance in children with acute lymphoblastic leukemia from diverse ancestry [J].
Moriyama, Takaya ;
Yang, Yung-Li ;
Nishii, Rina ;
Ariffin, Hany ;
Liu, Chengcheng ;
Lin, Ting-Nien ;
Yang, Wenjian ;
Lin, Dong-Tsamn ;
Yu, Chih-Hsiang ;
Kham, Shirley ;
Pui, Ching-Hon ;
Evans, William E. ;
Jeha, Sima ;
Relling, Mary V. ;
Yeoh, Allen Eng-Juh ;
Yang, Jun J. .
BLOOD, 2017, 130 (10) :1209-1212
[20]   India's Conditional Cash Transfer Programme (the JS']JSY) to Promote Institutional Birth: Is There an Association between Institutional Birth Proportion and Maternal Mortality? [J].
Randive, Bharat ;
Diwan, Vishal ;
De Costa, Ayesha .
PLOS ONE, 2013, 8 (06)