| Stage | Publication | Country (currency) | Economic perspective | Evaluation type | Modelling technique | Time horizon | Discount rate (%) | Treatment strategies (experimental vs. control) | Health outcomes | Impact of experimental vs. control strategy on cost | Impact of experimental vs. control strategy on health outcomes | Authors’ cost-effectiveness judgement | WTP |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
AC vs. no AC | II | Ayaci, 2013 [18] | USA (USD) | Healthcare payer | CUA | Markov | 5Â years | 3 | 5FU vs. no AC | QALY | Increase | Increase | Cost effective | 50,000 |
FOLFOX vs. no AC | QALY | Increase | Increase | Not cost-effective | ||||||||||
III | Smith, 1993 [19] | Australia (AUD) | Healthcare payer | CUA | Decision tree | 20 years | 5 | 5FU + LV vs. no AC | QALY | Increase | Increase | Author did not provide conclusion | Not reported | |
Brown, 1994 [20] | USA (USD) | Societal | CEA | Markov | 30 years | 6 | 5FU + Leva vs. no AC | LY | Increase | Increase | Cost-effective | 50,000 | ||
Lairson, 2014 [21] | USA (USD) | Healthcare payer | CUA | Patient level data | Lifetime | 3 | 5FU + LV vs. no AC | QALY | Increase | Increase | Cost-effective | 100,000 | ||
FOLFOX vs. no AC | Increase | Increase | Cost-effective | |||||||||||
II and III | Norum, 1997 [22] | Norway (BP) | Healthcare payer | CUA | Patient level data | Lifetime | 5 | 5FU + Leva vs. no AC | QALY | Increase | Increase | Cost effective | 20,000 | |
Michel, 1999 [23] | France (USD) | Healthcare payer | CEA | Decision tree | 5Â years | No discount | AC in stage II and III vs. AC in stage III only | No. of surviving patients | Increase | Increase | Cost-effective | 10,000 | ||
Oral vs. IV chemotherapy | III | Cassidy, 2006 [24] | UK (BP) | Societal | CEA, CUA | PSA | Lifetime | 1.5 (cost); 6 (effect) | Capecitabine vs. 5FU | LM, QALM | Decrease | Increase | Capecitabine dominates 5FU | Not reported |
Eggington, 2006 [25] | UK (BP) | Healthcare payer | CEA, CUA | Markov | 50Â years | 6 (cost); 1.5 (effect) | Capecitabine vs. 5FU | LY, QALY | Decrease | Increase | Capecitabine dominates 5FU | 20,000 | ||
Ho, 2006 [26] | Canada (CAD) | Societal | CMA | Decision tree | 5Â years | NR | XELOX vs. FOLFOX | N/A | Decrease | N/A | N/A | N/A | ||
Douillard, 2007 [27] | France (Euro) | Healthcare payer | CC | Decision tree | 3Â years | No discount | Capecitabine vs. 5FU | Relapse-free survival | Decrease | Increase | Capecitabine dominates 5FU | Not reported | ||
DiConstanzo, 2008 [28] | Italy (Euro) | Healthcare payer | CEA, CUA | PSA | 10Â years | 3.5 | Capecitabine vs. 5FU | LM, QALM | Decrease | Increase | Capecitabine dominates 5FU | Not reported | ||
Goerner, 2009 [29] | Germany (Euro) | Healthcare payer | Costing analysis | Decision tree | 6Â months | NR | Capecitabine vs. 5FU | N/A | Decrease | N/A | N/A | N/A | ||
Shiroiwa, 2009 [30] | Japan (Yen) | Healthcare payer | CUA | Markov | 30Â years | 3 | Capecitabine vs. 5FU | QALY | Decrease | Increase | Capecitabine dominates 5FU | 0 | ||
Hsu, 2011 [31] | UK (BP) | Healthcare payer | CUA | PSA | 10Â years | 3 | Capecitabine vs. 5FU | QALM | Decrease | Increase | Capecitabine dominates 5FU | Not reported | ||
Xie, 2013 [32] | China (USD) | Societal | Costing analysis | Patient level data | 6Â months | No discount | CAPOX vs. FOLFOX | N/A | Decrease | N/A | N/A | N/A | ||
Soni, 2014 [33] | US (USD) | Healthcare payer | CUA | Markov | 5Â years | 3 | Capecitabine vs. 5FU | QALY | Increase | Decrease | 5FU dominates Capecitabine | 100,000 | ||
Chen, 2015 [34] | Taiwan (NT) | Societal | CUA | Patient level data | 28 weeks | No discount | Capecitabine ± oxaliplatin vs. 5FU ± oxaliplatin | Health-related QOL scores | Decrease | No difference | Cost-effective | Not reported | ||
Lerdkiattikorn, 2015 [35] | Thailand (Baht) | Societal | CUA | Markov | 99Â years | 3 | Capecitabine vs. 5FU | QALY | Increase | Increase | Not cost effective | 300,000 | ||
Lin, 2015 [36] | Taiwan (NT) | Societal | Costing analysis | Patient level data | 25Â months | No discount | Capecitabine vs. 5FU | Health-related QOL scores | Decrease | No difference | Cost saving | N/A | ||
vanGils, 2015 [37] | Netherlands (Euro) | Healthcare sector | Costing analysis | Patient level data | 6Â months | No discount | Capecitabine vs. 5FU | N/A | Decrease | N/A | N/A | N/A | ||
II and III | Murad, 1997 [38] | Brazil & Argentina (Real) | Healthcare payer | CMA | Decision Tree | 18 months | NR | UFT + LV vs. 5FU + LV | N/A | Decrease | N/A | N/A | N/A | |
Manidakis, 2009 [39] | Greece (Euro) | Societal | CMA | Patient level data | 12Â months | NR | CAPOX vs. FOLFOX | N/A | Decrease | N/A | N/A | N/A | ||
Wen, 2014 [40] | China (USD) | Societal | CUA | Markov | 6 months | NR | CAPOX vs. FOLFOX | QALY | Decrease | Decrease | Cost-effective | 17,815 (3 × GDP) | ||
Hsu, 2019 [41] | Taiwan (USD) | Healthcare payer | CMA | Decision Tree | 6 months | NR | UFT + LV vs. 5FU + LV | N/A | Decrease | Increase | N/A | N/A | ||
Oxaliplatin vs. no oxaliplatin | II | Ayaci,, 2013 [18] | USA (USD) | Healthcare payer | CUA | Markov | 5 years | 3 | FOLFOX vs. 5FU + LV | QALY | Increase | Increase | Not cost effective | 50,000 |
III | Pandor, 2006 [42] | UK (BP) | Healthcare payer | CEA, CUA | Markov | 50 years | 6 (cost); 1.5 (effect) | FOLFOX vs. 5FU + LV | QALY | Increase | Increase | Cost-effective | 20,000 | |
FOLFOX vs. 5FU + LV | Increase | Increase | Cost-effective | |||||||||||
FOLFOX vs. Capecitabine | Increase | Increase | Cost-effective | |||||||||||
Eggington, 2006 [25] | UK (BP) | Healthcare payer | CEA, CUA | Markov | 50 years | 6 (cost); 1.5 (effect) | FOLFOX vs. 5FU + LV | LY, QALY | Increase | Increase | Cost-effective | 20,000 | ||
Aballea, 2007 [43] | UK (BP) | Healthcare payer | CUA | PSA | 50 years | 3.5 | FOLFOX vs. 5FU + LV | QALY | Increase | Increase | Cost effective | 30,000 | ||
Aballea, 2007 [44] | USA (USD) | Healthcare payer | CUA | PSA | 50 years | 3 | FOLFOX vs. 5FU + LV | QALY | Increase | Increase | Cost effective | 50 – 100,000 | ||
Goerner, 2009 [29] | Germany (Euro) | Healthcare payer | Costing analysis | Decision tree | 6 months | No discount | FOLFOX vs. 5FU + LV | N/A | Increase | N/A | N/A | N/A | ||
CAPOX vs. 5FU + LV | Increase | N/A | N/A | |||||||||||
Attard, 2010 [45] | Canada (CAD) | Healthcare payer | CUA | PSA | 50 years | 5 | FOLFOX vs. 5FU + LV | QALY | Increase | Increase | Cost-effective | Not reported | ||
Shiroiwa, 2012 [46] | Japan (Yen) | Healthcare payer | CUA | PSA | 30 years | 3 | FOLFOX vs. 5FU + LV | QALY | Increase | Increase | Cost-effective | 5 million | ||
Soni, 2014 [33] | USA (USD) | Healthcare payer | CUA | Markov | 5 years | 3 | FOLFOX vs. 5FU + LV | QALY | Increase | Increase | Cost-effective | 100,000 | ||
CAPOX vs. 5FU + LV | QALY | Increase | Decrease | 5FU dominates CAPOX | 100,000 | |||||||||
Lerdkiattikorn, 2015 [35] | Thailand (Baht) | Societal | CUA | Markov | 99 years | 3 | FOLFOX vs. 5FU + LV | QALY | Increase | Increase | Not cost effective | 300,000 | ||
vanGils, 2015 [37] | Netherlands (Euro) | Healthcare sector | Costing analysis | Patient level data | 6 months | NR | FOLFOX vs. 5FU + LV | N/A | Increase | N/A | N/A | N/A | ||
FOLFOX vx. Capecitabine | N/A | Increase | N/A | N/A | ||||||||||
CAPOX vs. 5FU + LV | N/A | Increase | N/A | N/A | ||||||||||
CAPOX vs. Capecitabine | N/A | Increase | N/A | N/A | ||||||||||
3Â M vs. 6Â M | II | Jongeneel, 2020 [4] | Netherlands (Euro) | Societal | CUA | Markov | Lifetime | 4 (cost); 1.5 (effect) | 3Â M vs. 6Â M FOLFOX | QALY | Decrease | Decrease | Not cost-effective; negative NMB | 50,000 |
3Â M vs. 6Â M CAPOX | Decrease | Increase | 3Â M CAPOX dominates 6Â M | |||||||||||
II and III | Robles-Zurita, 2018 [47] | UK (BP) | Healthcare sector | CUA | PSA | 8Â years | 3.5 | 3Â M vs. 6Â M CAPOX | QALY | Decrease | Increase | 3Â M dominates 6Â M | 30,000 | |
Iveson, 2019 [48] | UK (BP) | Healthcare sector | CUA | PSA | 8Â years | 3.5 | 3Â M vs. 6Â M AC | QALY | Decrease | Increase | 3Â M dominates 6Â M | 30,000 | ||
Hanna, 2021 [6] | Multi-country (USD) | Healthcare sector | CUA, BIA | Patient level data | 10Â year | 3.5 | 3Â M vs. 6Â M AC | QALY | Decrease | Increase | Cost effective | 42,000 | ||
Biomarker | II | Hornberger, 2012 [49] | USA (USD) | Societal | CUA | Markov | Lifetime | 3 | Oncotype Dx vs. SOC | QALY | Decrease | Increase | Genomic assay dominates SOC | 50,000 |
Alberts, 2014 [50] | USA (USD) | Healthcare payer | CUA | Markov | Lifetime | 3 | OncotypeDx vs.SOC | QALY | Decrease | Increase | Genomic assay dominates SOC | 50,000 | ||
Jongeneel, 2021 [51] | Netherlands (Euros) | Societal | CUA | Markov | Lifetime | 4 (cost); 1.5 (effect) | Biomarker (MSS + BRAF/KRAS) vs. SOC | QALY | Increase | Increase | Cost-effective | 50,000 | ||
To, 2021 [5] | Australia (AUD) | Healthcare payer | CUA | Markov | Lifetime | 5 | ctDNA vs. SOC | QALY | Decrease | Increase | ctDNA dominate SOC | 20,000 | ||
Alarid-Escuder, 2021 [52] | USA (USD) | Healthcare payer | CUA | Markov | Lifetime | 3 | Biomarker (CDX2) vs. no AC | QALY | Increase | Increase | Cost-effective | 100,000 |