J Korean Med Sci.  2025 Feb;40(6):e43. 10.3346/jkms.2025.40.e43.

Cost Utility Analysis of National Cancer Screening Program for Gastric Cancer in Korea: A Markov Model Analysis

Affiliations
  • 1National Cancer Control Institute, National Cancer Center, Goyang, Korea
  • 2Department of Health Convergence, Ewha Womans University, Seoul, Korea
  • 3Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
  • 4Division of Gastroenterology, Department of Internal Medicine, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
  • 5Center for Gastric Cancer, National Cancer Center, Goyang, Korea

Abstract

Background
The Korean National Cancer Screening Program (NCSP) for gastric cancer requires economic evaluation due to the low sensitivity of upper gastrointestinal series (UGIs) and the associated low cancer survival rate. This study aimed to ascertain the most cost-effective strategy for the NCSP.
Methods
The hypothetical target population of this study was aged 40 years or older, and no actual participants were involved. Markov simulation models were constructed for 25 strategies, combinations of 1) screening methods (UGIs or endoscopy vs. endoscopy-only), 2) screening intervals (one, two, or three-year), and 3) upper age limit of screening (69, 74, 79 years old, or “no limit”). Costs, utility, and other input parameters were extracted from various databases and previous studies. Cost-utility, sensitivity, and scenario analyses were conducted.
Results
The endoscopy-only strategy with a three-year interval with an upper age limit of 69 was the most cost-effective strategy with an incremental cost-utility ratio of KRW 13,354,106 per quality-adjusted life years. According to the probabilistic sensitivity analysis, the uncertainty of the result was significantly small. Scenario analysis is showed that as the screening rate increased, the endoscopy-only strategy saved more costs compared to the current NCSP. Therefore, it is important to maintain a high screening rate when altering the NCSP strategy.
Conclusion
Endoscopy-only screening was more cost-effective method than UGIs for the NCSP. Furthermore, a three-year interval with an upper-age limit of 69 years was the most cost-effective strategy. Efforts to improve cost-effective screening guidelines will support the efficient use of medical resources. Additionally, maintaining a higher screening rate may maximize the impact of the modification in strategy on cost-effectiveness.

Keyword

Incremental Cost-Utility Ratio; Endoscopy; Sensitivity and Scenario Analysis; Gastrointestinal Cancer

Figure

  • Fig. 1 Natural history of gastric cancer.No Ca = No cancer, L = Local cancer, R = Regional cancer, D = Distant cancer, F/U 1–5 = Follow up for 1–5 years.

  • Fig. 2 One-way sensitivity for No screening vs. S9 – Tornado diagram. The red bar indicates when the variable increases, and the blue for decreases. For example, as endoscopy screening cost increases, the ICUR between “no screening” and S9 also increases.ICUR = incremental cost-utility ratio, ENDO = endoscopy, Utility (localized) = utilities for local cancer patients, U_general = utilities for general population, Preval_Dysplasia = prevalent rate of dysplasia, Cost(sEndo) = endoscopy screening cost, Tp_dysplasia2LocalCa = transition rate from dysplasia to local cancer, Sx_Precancer = symptom rate of precancer, P_sEndo_sen = sensitivity of endoscopy screening, Sx_LC = symptom rates for local cancer, Progression rate (L2R) = transition rate from local cancer to regional cancer.This diagram was created using Tree-Age PRO Healthcare version 2020.

  • Fig. 3 Probabilistic sensitivity analysis–acceptability curve.WTP = willingness-to-pay, ENDO = endoscopy.The curves were created using Tree-Age PRO Healthcare version 2020.

  • Fig. 4 Scenario analysis according to proportion of selecting UGIs. The steepness of the slope of the line connecting each point is the ICUR values between each strategy. All slopes have similar steepness.QALY = quality adjusted life years, ENDO = endoscopy, UGI = upper gastrointestinal series, ICUR = incremental cost-utility ratio.

  • Fig. 5 Scenario analysis according to screening rates (current NCSP vs. S9). The slopes of the dotted lines are the ICURs between two connected strategies with the same screening rate.QALY = quality adjusted life year, NCSP = national cancer screening program, ENDO = endoscopy, ICUR = incremental cost-utility ratio, UGI = upper gastrointestinal series.


Reference

1. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global Cancer Statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021; 71(3):209–249. PMID: 33538338.
2. Areia M, Spaander MC, Kuipers EJ, Dinis-Ribeiro M. Endoscopic screening for gastric cancer: a cost-utility analysis for countries with an intermediate gastric cancer risk. United European Gastroenterol J. 2018; 6(2):192–202.
3. Zhang X, Li M, Chen S, Hu J, Guo Q, Liu R, et al. Endoscopic screening in Asian Countries is associated with reduced gastric cancer mortality: a meta-analysis and systematic review. Gastroenterology. 2018; 155(2):347–354.e9. PMID: 29723507.
4. Kunisaki C, Ishino J, Nakajima S, Motohashi H, Akiyama H, Nomura M, et al. Outcomes of mass screening for gastric carcinoma. Ann Surg Oncol. 2006; 13(2):221–228. PMID: 16411143.
5. Yeh JM, Ho W, Hur C. Cost-effectiveness of endoscopic surveillance of gastric ulcers to improve survival. Gastrointest Endosc. 2010; 72(1):33–43. PMID: 20430384.
6. Ascherman B, Oh A, Hur C. International cost-effectiveness analysis evaluating endoscopic screening for gastric cancer for populations with low and high risk. Gastric Cancer. 2021; 24(4):878–887. PMID: 33595744.
7. Ono H, Yao K, Fujishiro M, Oda I, Nimura S, Yahagi N, et al. Guidelines for endoscopic submucosal dissection and endoscopic mucosal resection for early gastric cancer. Dig Endosc. 2016; 28(1):3–15. PMID: 26234303.
8. World Cancer Research Fund International. Stomach cancer statistics. Updated 2020. Accessed December 20, 2022. https://www.wcrf.org/cancer-trends/stomach-cancer-statistics/ .
9. Lee HY, Park EC, Jun JK, Choi KS, Hahm MI. Comparing upper gastrointestinal X-ray and endoscopy for gastric cancer diagnosis in Korea. World J Gastroenterol. 2010; 16(2):245–250. PMID: 20066745.
10. Chang HS, Park EC, Chung W, Nam CM, Choi KS, Cho E, et al. Comparing endoscopy and upper gastrointestinal X-ray for gastric cancer screening in South Korea: a cost-utility analysis. Asian Pac J Cancer Prev. 2012; 13(6):2721–2728. PMID: 22938448.
11. Cho E, Kang MH, Choi KS, Suh M, Jun JK, Park EC. Cost-effectiveness outcomes of the national gastric cancer screening program in South Korea. Asian Pac J Cancer Prev. 2013; 14(4):2533–2540. PMID: 23725170.
12. Hwang YJ, Kim NY, Kim SE, Baik GH, Lee JY, Park KS, et al. Change in the prevalences and risk factors of atrophic gastritis and intestinal metaplasia in Korea: Multicenter Clinical Trials. Korean J Helicobacter Up Gastrointest Res. 2018; 18(4):247–257.
13. Shah SC, Canakis A, Peek RM Jr, Saumoy M. Endoscopy for gastric cancer screening is cost-effective for Asian Americans in the United States. Clin Gastroenterol Hepatol. 2020; 18(13):3026–3039. PMID: 32707341.
14. Xie XF, Ito M, Yoshihara M, Haruma K, Tanaka S, Chayama K. Serum pepsinogen levels in the Japanese population: prospective study of 9 years of follow-up. Hepatogastroenterology. 2007; 54(78):1887–1890. PMID: 18019741.
15. Lee YC, Lin JT, Wu HM, Liu TY, Yen MF, Chiu HM, et al. Cost-effectiveness analysis between primary and secondary preventive strategies for gastric cancer. Cancer Epidemiol Biomarkers Prev. 2007; 16(5):875–885. PMID: 17507609.
16. Ministry of Health and Welfare. National Cancer Screening Program Guidebook. Updated 2021. Accessed December 20, 2022. http://www.mohw.go.kr/react/jb/sjb030301vw.jsp?PAR_MENU_ID=03&MENU_ID=032901&CONT_SEQ=363915 .
17. Lee HJ, Ock M, Kim KP, Jo MW. Estimation of population-based utility weights for gastric cancer-related health states. Patient Prefer Adherence. 2018; 12:909–918. PMID: 29872276.
18. Bae EY. What should the cost-effectiveness threshold reflect? The Korean Journal of Health Economics and Policy. 2018; 24(2):83–106.
19. Ahn JH, Kim YH, Shin SJ, Park JY. Asian collaborative research project to determine willingness-to-pay per quality-adjusted life year: WTP/QALY. NECA. 2012; 1(1):1–75.
20. Davis S. Using Markov chain to describe the progression of chronic disease [master’s thesis]. Kansas State University;2014.
21. Briggs A, Sculpher M. An introduction to Markov modelling for economic evaluation. Pharmacoeconomics. 1998; 13(4):397–409. PMID: 10178664.
22. Casamayor M, Morlock R, Maeda H, Ajani J. Targeted literature review of the global burden of gastric cancer. Ecancermedicalscience. 2018; 12:883. PMID: 30679950.
23. Huang HL, Leung CY, Saito E, Katanoda K, Hur C, Kong CY, et al. Effect and cost-effectiveness of national gastric cancer screening in Japan: a microsimulation modeling study. BMC Med. 2020; 18(1):257. PMID: 32921305.
24. Xia R, Zeng H, Liu W, Xie L, Shen M, Li P, et al. Estimated cost-effectiveness of endoscopic screening for upper gastrointestinal tract cancer in high-risk areas in China. JAMA Netw Open. 2021; 4(8):e2121403. PMID: 34402889.
25. Ryu JE, Choi E, Lee K, Jun JK, Suh M, Jung KW, et al. Trends in the performance of the Korean National Cancer Screening Program for gastric cancer from 2007 to 2016. Cancer Res Treat. 2022; 54(3):842–849. PMID: 34607395.
26. Jun JK, Choi KS, Lee HY, Suh M, Park B, Song SH, et al. Effectiveness of the Korean National Cancer Screening Program in reducing gastric cancer mortality. Gastroenterology. 2017; 152(6):1319–1328.e7. PMID: 28147224.
27. Choi KS, Kwak MS, Lee HY, Jun JK, Hahm MI, Park EC. Screening for gastric cancer in Korea: population-based preferences for endoscopy versus upper gastrointestinal series. Cancer Epidemiol Biomarkers Prev. 2009; 18(5):1390–1398. PMID: 19383892.
28. Park HA, Nam SY, Lee SK, Kim SG, Shim KN, Park SM, et al. The Korean guideline for gastric cancer screening. J Korean Med Assoc. 2015; 58(5):373–384.
29. Hatswell AJ, Bullement A, Briggs A, Paulden M, Stevenson MD. Probabilistic sensitivity analysis in cost-effectiveness models: determining model convergence in cohort models. Pharmacoeconomics. 2018; 36(12):1421–1426. PMID: 30051268.
30. Helicobacter and Cancer Collaborative Group. Gastric cancer and Helicobacter pylori: a combined analysis of 12 case control studies nested within prospective cohorts. Gut. 2001; 49(3):347–353. PMID: 11511555.
31. Han Y, Yan T, Ma H, Yao X, Lu C, Li Y, et al. Cost-effectiveness analysis of helicobacter pylori eradication therapy for prevention of gastric cancer: a Markov model. Dig Dis Sci. 2020; 65(6):1679–1688. PMID: 31673902.
Full Text Links
  • JKMS
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2025 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr