Global application of National Comprehensive Cancer Network resource-stratified guidelines for systemic treatment of colon cancer: a population-based, customisable model for cost, demand, and procurement

被引:2
作者
Wilson, Brooke E. [1 ,2 ,3 ,9 ]
Booth, Christopher M. [1 ,2 ]
Sullivan, Richard [4 ,5 ]
Aggarwal, Ajay [5 ,6 ]
Sengar, Manju [7 ]
Jacob, Susannah [3 ,9 ]
Bray, Freddie [8 ]
Barton, Michael B. [3 ]
Pearson, Sallie-Anne [10 ]
机构
[1] Queens Univ, Queens Canc Res Inst, Div Canc Care & Epidemiol, Kingston, ON, Canada
[2] Queens Univ, Dept Oncol, Kingston, ON K7L 5P9, Canada
[3] Univ New South Wales, South West Clin Sch, Collaborat Canc Outcomes Res & Evaluat, Liverpool, NSW, Australia
[4] Kings Coll London, Inst Canc Policy, London, England
[5] Guys & St Thomas Natl Hlth Serv Trust, Dept Oncol, London, England
[6] London Sch Hyg & Trop Med, Dept Hlth Serv Res & Policy, London, England
[7] Homi Bhabha Natl Inst, Tata Mem Ctr, Dept Med Oncol, Mumbai, India
[8] Int Agcy Canc Res, Canc Surveillance Branch, Lyon, France
[9] Univ New South Wales, Fac Med & Hlth, Sch Populat Hlth, Sydney, NSW, Australia
[10] Univ New South Wales, NHMRC Med Intelligence Ctr Res Excellence, Sydney, NSW, Australia
关键词
METASTATIC COLORECTAL-CANCER; IMAGING MODALITIES; GENERAL-POPULATION; RADIOTHERAPY; SURVIVAL; THERAPY; NEED; CHEMOTHERAPY; BEVACIZUMAB; MANAGEMENT;
D O I
10.1016/s1470-2045(23)00183-3
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background Resource-stratified guidelines (RSGs) can inform systemic treatment decisions in the face of limited resources. The objective of this study was to develop a customisable modelling tool to predict the demand, cost, and drug procurement needs of delivering National Comprehensive Cancer Network (NCCN) RSG-based systemic treatment for colon cancer. Methods We developed decision trees for first-course systemic therapy for colon cancer based on the NCCN RSGs. Decision trees were merged with data from the Surveillance, Epidemiology, and End Results programme, the International Agency for Research on Cancer's GLOBOCAN 2020 national estimates for colon cancer incidence, country-level income data, and data on drug costs from Redbook (USA), the Pharmaceutical Benefits Scheme (Australia), and the Management Sciences for Health 2015 International Medical Products price guide to estimate global treatment needs and costs, and forecast drug procurement. Simulations and sensitivity analyses were used to explore the effect of scaling up services globally and the effect of alternative stage distributions on treatment demand and cost. We generated a customisable model, in which estimates can be tailored to local incidence, epidemiological, and costing data. Findings First-course systemic therapy is indicated in 608 314 (53 center dot 6%) of 1 135 864 colon cancer diagnoses in 2020. Indications for first-course systemic therapy are projected to rise to 926 653 in 2040; the indications in 2020 might be as high as 826 123 (72 center dot 7%), depending on stage distribution assumptions. Adhering to NCCN RSGs, patients with colon cancer in low-income and middle income countries (LMICs) would constitute 329 098 (54 center dot 1%) of 608 314 global systemic therapy demands, but only 10% of global expenditure on systemic therapies. The total cost of NCCN RSGbased first-course systemic therapy for colon cancer in 2020 would be between about US$4 center dot 2 and about $4 center dot 6 billion, depending on stage distribution. If all patients with colon cancer in 2020 were treated according to maximal resources, global expenditure on systemic therapy for colon cancer would rise to around $8 center dot 3 billion. Interpretation We have developed a customisable model that can be applied at global, national, and subnational levels to estimate systemic treatment needs, forecast drug procurement, and calculate expected drug costs on the basis of local data. This tool can be used to plan resource allocation for colon cancer globally.
引用
收藏
页码:682 / 690
页数:9
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