Literature DB >> 34402889

Estimated Cost-effectiveness of Endoscopic Screening for Upper Gastrointestinal Tract Cancer in High-Risk Areas in China.

Ruyi Xia1, Hongmei Zeng2, Wenjun Liu1, Li Xie1, Mingwang Shen1, Peng Li1, He Li2, Wenqiang Wei2, Wanqing Chen2, Guihua Zhuang1.   

Abstract

Importance: Upper gastrointestinal tract cancer, including esophageal and gastric cancers, in China accounts for 50% of the global burden. Endoscopic screening may be associated with a decreased incidence of and mortality from upper gastrointestinal tract cancer. Objective: To evaluate the cost-effectiveness of endoscopic screening for esophageal and gastric cancers among people aged 40 to 69 years in areas of China where the risk of these cancers is high. Design, Setting, and Participants: For this economic evaluation, a Markov model was constructed for initial screening at different ages from a health care system perspective, and 5 endoscopic screening strategies with different frequencies (once per lifetime and every 10 years, 5 years, 3 years, and 2 years) were evaluated. The study was conducted between January 1, 2019, and October 31, 2020. Model parameters were estimated based on this project, government documents, and published literature. For each initial screening age (40-44, 45-49, 50-54, 55-59, 60-64, and 65-69 years), a closed cohort of 100 000 participants was assumed to enter the model and follow the alternative strategies. Main Outcomes and Measures: Cost-effectiveness was measured by calculating the incremental cost-effectiveness ratio (ICER), and the willingness-to-pay threshold was assumed to be 3 times the per capita gross domestic product in China (US $10 276). Univariate and probabilistic sensitivity analyses were conducted to assess the robustness of model findings.
Results: The study included a hypothetical cohort of 100 000 individuals aged 40 to 69 years. All 5 screening strategies were associated with improved effectiveness by 1087 to 10 362 quality-adjusted life-years (QALYs) and increased costs by US $3 299 000 to $22 826 000 compared with no screening over a lifetime, leading to ICERs of US $1343 to $3035 per QALY. Screening at a higher frequency was associated with an increase in QALYs and costs; ICERs for higher frequency screening compared with the next-lower frequency screening were between US $1087 and $4511 per QALY. Screening every 2 years would be the most cost-effective strategy, with probabilities of 90% to 98% at 3 times the per capita gross domestic product of China. The model was the most sensitive to utility scores of esophageal cancer- or gastric cancer-related health states and compliance with screening. Conclusions and Relevance: The findings suggest that combined endoscopic screening for esophageal and gastric cancers may be cost-effective in areas of China where the risk of these cancers is high; screening every 2 years would be the optimal strategy. These data may be useful for development of policies targeting the prevention and control of upper gastrointestinal tract cancer in China.

Entities:  

Mesh:

Year:  2021        PMID: 34402889      PMCID: PMC8371571          DOI: 10.1001/jamanetworkopen.2021.21403

Source DB:  PubMed          Journal:  JAMA Netw Open        ISSN: 2574-3805


Introduction

The incidence of upper gastrointestinal tract cancer (UGIC), including esophageal cancer (EC) and gastric cancer (GC), is high in China, with an estimated 802 930 new cases (324 422 cases of EC and 478 508 cases of GC) and 674 924 deaths (301 135 due to EC and 373 789 due to GC) in 2020, accounting for approximately 50% of the global burden.[1] However, the geographic distribution of UGIC is uneven in China, mortality rates in some areas being 2- to 3-fold higher than the national average.[2,3,4] The prognosis of UGIC depends mainly on the disease stage at the time of diagnosis. In China, the overall 5-year survival rates for patients with EC and GC are 30.3% and 35.1%, respectively.[5] However, the rates would be 86% and 90%, respectively, if disease were detected at an early stage.[6,7] This potential for increased survival has provided justification for early detection programs. A series of nationwide screening programs has been established in several East Asian countries where the incidence rates are high. In Japan, radiographic screening for GC was developed in the 1960s, and a national screening program was established in 1983; currently, endoscopic screening every 2 to 3 years is usually recommended.[8] South Korea introduced both radiographic screening and endoscopic screening for GC into national screening programs in 2000 and currently recommends endoscopic screening every 2 years.[9] Over approximately the past 20 years, endoscopic examination has become a major screening method for UGIC because of its high accuracy.[10] Several economic evaluation studies[11,12,13,14,15,16] from South Korea, Singapore, Portugal, the US, and China showed that endoscopic screening for EC or GC was cost-effective compared with no screening. Another study[17] conducted in the US suggested that the cost-effectiveness of combined endoscopic screening for EC and GC was comparable to that of funded screening programs for other cancers when it was integrated into the current colonoscopy screening program. In China, several endoscopic screening programs for UGIC have been attempted in some areas with high incidence rates since 2005. Some observational studies[18,19,20,21,22] have shown that endoscopic screening can reduce the incidence of and mortality associated with UGIC. To assess the feasibility and efficacy of endoscopic screening for EC and GC, a multicenter randomized controlled trial was launched in 2015, in which more than 140 000 persons aged 40 to 69 years were enrolled.[23,24] A large amount of basic data has been obtained from this trial. The present study evaluated the cost-effectiveness of combined endoscopic screening for EC and GC in people aged 40 to 69 years in areas of China where the risk of these cancers is high. Furthermore, we evaluated the optimal initial age and frequency for screening.

Methods

This model-based economic evaluation was performed from the health care system perspective using TreeAge Pro (Healthcare Version) 2020 (TreeAge Software) and was conducted between January 1, 2019, and October 31, 2020. The project was registered with the Protocol Registration System in the Chinese Clinical Trial Registry and approved by the independent Ethics Committee of the National Cancer Center of China/Cancer Hospital, Chinese Academy of Medical Sciences. Because patient data were deidentified in the analysis, the requirement for informed consent was waived by the Ethics Committee of the National Cancer Center of China/Cancer Hospital, Chinese Academy of Medical Sciences. This evaluation followed the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) reporting guideline.[25]

Markov Model

A Markov model was constructed for different initial screening ages (40-44, 45-49, 50-54, 55-59, 60-64, and 65-69 years) to simulate EC and GC progression and calculate related health and economic outcomes in a lifetime horizon. Five endoscopic screening strategies with different frequencies were considered, including once per lifetime and every 10 years, 5 years, 3 years, and 2 years. No screening was applied as a reference strategy. For each initial screening age, a closed cohort of 100 000 participants with a mean age of 42, 47, 52, 57, 62, or 67 years was assumed to enter the model and follow the alternative strategies. The Markov model consisted of 26 health states. In addition to the normal and death states, series of EC and GC progression states were considered, and each progression state was divided into undetected and detected states. A posttreatment state was also considered separately from the states requiring medical treatment after diagnosis. Endoscopic screening, reexamination, and related treatment procedures followed the recommendations of the Chinese Expert Consensus on Screening and Endoscopic Diagnosis and Treatment of Early Esophageal Cancer/Gastric Cancer (2014 version).[26,27] These recommendations were also followed in a randomized controlled trial by Chen et al.[23] Details of the trial are given in the eMethods and eFigures 1 to 3 in the Supplement, details of the Markov model are given in eFigure 4 in the Supplement, and validation of the model is shown in eFigures 5 and 6 in the Supplement. Compliance with screening, reexamination, and treatment and complications associated with endoscopic screening were also considered in the model. The model was run with a 1-year cycle length and terminated when the mean age of the cohort reached 90 years. A half-cycle correction was applied.

Model Parameters

Compliance with endoscopic screening was determined to be 49% (range, 30%-80%) according to a pilot project concerning endoscopic screening for EC in several areas of China where the risk of EC is high (Table 1).[18,28,29,30,31,32,33,34,35,36,37,38,39,40,41] Compliance with regular endoscopic reexamination among individuals who had mild esophageal dysplasia, moderate esophageal dysplasia, or low-grade gastric intraepithelial neoplasia detected on screening was assumed to be higher than compliance with endoscopic screening, which was 67% (range, 40%-90%) according to a previous report (Table 1).[15] The model assumed that false-positive results would result in loss of quality of life but could be corrected with an endoscopic reexamination at an additional cost. The sensitivity and specificity of endoscopic examination for EC were 96% (range, 88%-99%) and 90% (range, 59%-100%), respectively, according to previous studies in areas in China where risk of EC is high.[11,30,31] The sensitivity and specificity of endoscopic examination for GC were assumed to be 89% (range, 70%-98%) and 100% (range, 90%-100%), respectively, based on the published literature from other countries where risk for GC is high and other economic evaluation studies of GC[8,12,32,33,34] because of the lack of available data in China. Clinically significant complications (eg, bleeding or perforation) are rare among individuals undergoing diagnostic endoscopic examination.[42,43] The complication rate in the model was estimated to be 0.009% (range, 0%-0.2%) based on the trial by Chen et al[23,24] and other published studies (Table 2).[32,33,35]
Table 1.

Estimates of Parameters Used in the Model

ParameterBase-case valueRangeDistributionSource
Compliance with screening0.490.30-0.80Triangular (0.30, 0.49, 0.80)Wei et al,[18] 2015; Feng et al,[28] 2015; Wang et al,[29] 2015
Compliance with reexamination0.670.40-0.90Triangular (0.40, 0.67, 0.90)Yang et al,[15] 2015
Endoscopic examination characteristics
Sensitivity for EC0.960.88-0.99Triangular (0.88, 0.96, 0.99)Chang et al,[11] 2012; Dawsey et al,[30] 1998; Nagami et al,[31] 2014
Specificity for EC0.900.59-1.00Triangular (0.59, 0.90, 1.00)Chang et al,[11] 2012; Dawsey et al,[30] 1998; Nagami et al,[31] 2014
Sensitivity for GC0.890.70-0.98Triangular (0.70, 0.89, 0.98)Zhou et al,[12] 2013; Hamashima et al,[8] 2018; Yeh et al,[32] 2016; Lee et al,[33] 2007; Hamashima et al,[34] 2013
Specificity for GC1.000.90-1.00Triangular (0.90, 1.00, 1.00)Zhou et al,[12] 2013; Hamashima et al,[8] 2018; Yeh et al,[32] 2016; Lee et al,[33] 2007; Hamashima et al,[34] 2013
Endoscopic examination complications0.000090-0.002Triangular (0, 0.00009, 0.002)Zeng et al,[24] 2020; Yeh et al,[32] 2016; Lee et al,[33] 2007; Espino et al,[35] 2012
Annual self-initiated examination
Severe esophageal dysplasia and CIS or HGIN and CIS0.010.005-0.02Triangular (0.005, 0.01, 0.02)Chang et al,[11] 2012
Early EC or GC0.200.10-0.40Triangular (0.10, 0.20, 0.40)Chang et al,[11] 2012
Advanced EC or GC0.700.56-0.90Triangular (0.56, 0.70, 0.90)Chang et al,[11] 2012
Compliance with treatment
Severe esophageal dysplasia or CIS0.74580.5625-0.9654β (31.72, 10.81)Chen et al,[23] 2017
Early EC0.94050.7149-1.0000β (8.17, 0.52)Chen et al,[23] 2017
Advanced EC0.96430.8393-1.0000β (16.99, 0.63)Chen et al,[23] 2017
HGIN or CIS0.54550.4425-0.7746β (92.43, 77.01)Chen et al,[23] 2017
Early GC0.90000.6792-1.0000β (12.41, 1.38)Chen et al,[23] 2017
Advanced GC0.96430.8393-1.0000β (16.99, 0.63)Chen et al,[23] 2017
Costs, $
Screening mobilization and administration per capita1.05±50%γ (0.16, 0.15)Chen et al,[23] 2017
Endoscopic examination47.87±50%γ (46.57, 0.97)Chen et al,[23] 2017
Treatment for endoscopic complications113.68±50%γ (5.82, 0.05)Chen et al,[23] 2017
Initial treatment
Severe esophageal dysplasia or CIS1604±50%γ (3.33, 0.002)Yang et al,[36] 2018
Early EC7732±50%γ (2.33, 3.01)Yang et al,[36] 2018
Advanced EC7320±50%γ (3.33, 4.55)Yang et al,[36] 2018
HGIN or CIS1423±50%γ (1.41, 9.88)Yang et al,[36] 2018
Early GC7548±50%γ (4.61, 6.11)Yang et al,[36] 2018
Advanced GC7086±50%γ (5.96, 8.41)Yang et al,[36] 2018
Annual health care
Severe esophageal dysplasia or CIS216±50%γ (1.22, 0.006)Yang et al,[36] 2018
Early EC367±50%γ (1.23, 0.003)Yang et al,[36] 2018
Advanced EC342±50%γ (2.05, 0.006)Yang et al,[36] 2018
HGIN or CIS243±50%γ (1.24, 0.005)Yang et al,[36] 2018
Early GC409±50%γ (1.18, 0.003)Yang et al,[36] 2018
Advanced GC435±50%γ (1.19, 0.003)Yang et al,[36] 2018
Utility scores
Mild esophageal dysplasia1.000.98-1.00Triangular (0.98, 1.00, 1.00)Sharaiha et al,[37] 2014; Inadomi et al,[38] 2009
Moderate esophageal dysplasia1.000.98-1.00Triangular (0.98, 1.00, 1.00)Sharaiha et al,[37] 2014; Inadomi et al,[38] 2009
Severe esophageal dysplasia or CIS0.840.79-0.89β (3.57, 0.68)Liu et al,[39] 2018
Early EC0.700.66-0.74β (2.63, 1.13)Liu et al,[39] 2018
Advanced EC0.610.56-0.66β (1.12, 0.71)Liu et al,[39] 2018
LGIN1.000.98-1.00Triangular (0.98, 1.00, 1.00)Sharaiha et al,[37] 2014; Inadomi et al,[38] 2009
HGIN or CIS0.920.86-0.99β (2.53, 0.22)Xia et al,[40] 2020
Early GC0.750.71-0.78β (3.15, 1.05)Xia et al,[40] 2020
Advanced GC0.570.53-0.62β (1.35, 1.02)Xia et al,[40] 2020
Discount rate0.050-0.08NAWeinstein et al,[41] 1996

Abbreviations: CIS, carcinoma in situ; EC, esophageal cancer; GC, gastric cancer; HGIN, high-grade intraepithelial neoplasia; LGIN, low-grade intraepithelial neoplasia; NA, not applicable.

Table 2.

Base-Case Cost-effectiveness Results Compared Among Different Strategies by Initial Screening Age Among 100 000 Cohort Members

Initial screening age, strategyQALYsIncremental QALYsCost ($, thousand)Incremental cost ($, thousand)ICER ($/QALY)
Vs no screeningVs the next most effective strategybVs no screeningVs the next most effective strategybVs no screeningVs the next most effective strategyb
40-44 y
No screening1 659 260NANA25 035NANANANA
Screening once per lifetime1 660 3471087108728 3343299329930353035
Screening every 10 y1 663 6774417333031 9546919362015661087
Screening every 5 y1 666 3457085266836 70711 672475316471781
Screening every 3 y1 668 3719111202642 21817 183551118862720
Screening every 2 y1 669 62210 362125147 86122 826564322034511
45-49 y
No screening1 572 532NANA26 817NANANANA
Screening once per lifetime1 574 1611629162930 3473530353021672167
Screening every 10 y1 576 9414409278033 9617144361416201300
Screening every 5 y1 579 1456613220437 74510 928378416531717
Screening every 3 y1 580 9748442182942 53115 714478618612617
Screening every 2 y1 582 3349802136048 19021 373565921804161
50-54 y
No screening1 468 506NANA30 229NANANANA
Screening once per lifetime1 470 8902384238434 1423913391316411641
Screening every 10 y1 472 5834077169336 3736144223115071318
Screening every 5 y1 474 7736267219040 35610 127398316161819
Screening every 3 y1 476 3257819155244 12013 891376417772425
Screening every 2 y1 477 6519145132649 01018 781489020543688
55-59 y
No screening1 342 830NANA36 095NANANANA
Screening once per lifetime1 346 0313201320140 4914396439613731373
Screening every 10 y1 347 2644434123342 8116716232015151882
Screening every 5 y1 348 7475917148345 2409145242915461638
Screening every 3 y1 350 3657535161849 17113 076393117352430
Screening every 2 y1 351 4918661112652 84316 748367219343261
60-64 y
No screening1 195 742NANA45 876NANANANA
Screening once per lifetime1 199 6183876387651 0815205520513431343
Screening every 5 y1 201 0915349147353 9708094288915131961
Screening every 3 y1 202 2936551120256 49810 622252816212103
Screening every 2 y1 203 210746891758 77912 903228117282487
65-69 y
No screening1 025 119NANA60 442NANANANA
Screening once per lifetime1 029 0583939393967 2336791679117241724
Screening every 2 y1 030 5945475153670 81010 368357718942329

Abbreviations: ICER, incremental cost-effectiveness ratio; NA, not applicable; QALY, quality-adjusted life-year.

QALYs, costs, and ICERs are expressed as the values in 2019.

Compared with the next most effective strategy at the same initial screening age.

Abbreviations: CIS, carcinoma in situ; EC, esophageal cancer; GC, gastric cancer; HGIN, high-grade intraepithelial neoplasia; LGIN, low-grade intraepithelial neoplasia; NA, not applicable. Abbreviations: ICER, incremental cost-effectiveness ratio; NA, not applicable; QALY, quality-adjusted life-year. QALYs, costs, and ICERs are expressed as the values in 2019. Compared with the next most effective strategy at the same initial screening age. The prevalence rates of EC- and GC-related health states were estimated based on baseline screening reports from the trial by Chen et al[23] in areas where the risk of these cancers is high (eTable 1 in the Supplement); these reports were used to determine initial distributions of cohort members across health states in the model. A wide range was set for each rate to cover the values reported in these areas by referring to previous studies from China.[29,44,45,46] The annual transition probabilities were derived from published observational studies concerning the natural history of EC and GC and economic evaluation studies of EC and GC (eTable 2 in the Supplement).[15,47,48,49] The model assumed that in the absence of active screening, individuals with severe esophageal dysplasia and carcinoma in situ, high-grade gastric intraepithelial neoplasia and carcinoma in situ, or EC or GC would receive a diagnosis on the basis of self-initiated examinations according to state-specific probabilities (Table 1).[11] Individuals with these diagnoses would receive state-specific treatments, whereas individuals who did not receive these diagnoses would remain untreated. The rates of state-specific compliance with treatment were calculated for the proportion of screened patients who actually completed the entire treatment procedure in areas where the risk of UGIC is high in the trial by Chen et al[23] (eTable 3 in the Supplement). The state-specific probabilities of recurrence after treatment and cancer-related mortality rates for advanced EC and GC were estimated based on the survival rates among patients with EC and GC (eTable 2 in the Supplement),[15] whereas age-specific natural background death rates were obtained from the China Population & Employment Statistics Yearbook, 2019.[50] Costs were converted from Chinese renminbi to 2019 US dollars (US $1 = ¥6.8968 in 2019). The cost of screening included screening mobilization and administration costs, endoscopic examination costs, and costs of treatment for endoscopic complications, all of which were obtained from the 7 study centers that participated in the trial by Chen et al[23] (eTable 4 in the Supplement). The cost of EC- and GC-related treatment included the initial treatment cost after detection of the cancer and the subsequent annual health care cost after treatment, both of which were obtained from the survey included in the trial by Chen et al[23] that was administered to assess the economic burden of UGIC in China.[36] Calculation details are shown in eTable 5 in the Supplement. The health outcome was utility-weighted life expectancy expressed as quality-adjusted life-years (QALYs). Utility scores of EC- and GC-related health states were obtained from the survey included in the trial by Chen et al[23] that was administered to assess the quality of life of patients with UGIC in China (eTable 6 in the Supplement).[39,40] Considering that patients diagnosed with mild esophageal dysplasia, moderate esophageal dysplasia, and low-grade gastric intraepithelial neoplasia do not have symptoms, we used a utility score of 1 in the base-case analysis and set a range of 0.98 to 1 in the sensitivity analyses.[37,38] We assumed a discount rate of 5% (range, 0%-8%) for both QALYs and costs.[41] The choice of distribution for all parameters was based on consideration of the properties of the parameters and the data informing the parameters.

Statistical Analysis

Effectiveness and Cost-effectiveness Evaluation

Expected QALYs and costs of each strategy were obtained from the model. We evaluated the cost-effectiveness of screening strategies at different initial screening ages with 2 approaches. First, we calculated the incremental cost-effectiveness ratio (ICER), defined as incremental costs per QALY gained of each screening strategy compared with no screening. Second, we calculated the ICER of each screening strategy compared with the next most effective screening strategy to identify the optimal strategy at each initial screening age. Because of the lack of data regarding the willingness to pay in the population of China, we adopted the cost-effectiveness definition used by the World Health Organization. Highly cost-effective was defined as an ICER less than 1 time the per capita gross domestic product (GDP) in China; cost-effective, an ICER of 1 to 3 times the per capita GDP; and not cost-effective, and an ICER greater than 3 times the per capita GDP.[51] The per capita GDP in China in 2019 was US $10 276.

Uncertainty and Sensitivity Analyses

Univariate sensitivity analyses of all parameters within their respective ranges were performed to identify the main sensitivity parameters. Probabilistic sensitivity analyses were further conducted to determine the probability of each screening strategy being cost-effective compared with no screening and the probability of each strategy being optimal compared with all other strategies.

Results

Base-Case Results

The study included a hypothetical sample of 100 000 individuals aged 40 to 69 years. All 5 screening strategies increased QALYs and costs compared with no screening at the same initial screening age (Table 2) by 1087 to 10 362 QALYs and US $3 299 000 to $22 826 000 for a cohort of 100 000 participants over a lifetime, and the corresponding ICERs were US $1343 to $3035 per QALY, which were lower than the per capita GDP ($10 276). Therefore, all screening strategies would be more cost-effective than no screening. Further comparisons of the screening strategies were performed, and more frequent screening would be associated with a gain of more QALYs but with higher costs (Table 2). When a screening strategy was compared with the next most effective screening strategy in the cohort with the same initial screening age, 917 to 3939 QALYs would be gained and an additional cost of US $2 231 000 to $6 791 000 gained for a cohort of 100 000 participants over a lifetime; the corresponding ICERs were US $1087 to $4511 per QALY, which was lower than the per capita GDP. Therefore, the high-frequency screening strategy would be more cost-effective than the low-frequency screening strategy, and screening every 2 years would be the optimal strategy at each initial screening age. Screening every 2 years and screening once per lifetime had the most incremental QALYs at the initial screening ages of 40 to 44 years and 65 to 69 years, respectively.

Sensitivity Analysis Results

Univariate sensitivity analyses revealed that the results remained largely unchanged over the plausible range of each parameter. The ICER upper limits of the most sensitive parameters of each screening strategy at different initial screening ages are shown in Table 3. When a screening strategy was compared with no screening, only varying utility scores of EC- and GC-related health states resulted in ICERs exceeding the per capita GDP at initial screening ages of 40 to 44 years and 65 to 69 years. When a screening strategy was compared with the next most effective screening strategy, varying utility scores of EC- and GC-related health states resulted in ICERs at some initial screening ages exceeding 3 times the per capita GDP, and varying compliance with screening resulted in ICERs of screening every 2 years vs screening every 3 years exceeding the per capita GDP. Univariate sensitivity analyses demonstrated the stability of the cost-effectiveness and ranking of the cost-effectiveness of the screening strategies.
Table 3.

Upper Limits of Incremental Cost-effectiveness Ratio for Each Screening Strategy in Univariate Sensitivity Analyses by Initial Screening Age

Initial screening age and screening strategyUtility scoresbCompliance with screeningDiscount ratePrevalences of EC- and GC-related health statesbCosts of screeningcAnnual transition probability from severe esophageal dysplasia or CIS to early EC
Vs no screeningVs the next most effective strategyVs no screeningVs the next most effective strategyVs no screeningVs the next most effective strategyVs no screeningVs the next most effective strategyVs no screeningVs the next most effective strategyVs no screeningVs the next most effective strategy
40-44 y
Screening once per lifetime11 778d11 778d4016401666716671471147114422442245924592
Screening every 10 y449828771883127134402144173711292272157021861658
Screening every 5 y511663951845227734673513181119272397260323082513
Screening every 3 y620211 273d2085520438715260208230032758402226093659
Screening every 2 y745219 296d261913 156d44808663245151273240674729965740
45-49
Screening once per lifetime615361532760276044864486344834483092309226772677
Screening every 10 y523645711912147332482358193413892304184222591986
Screening every 5 y531054551853215532463241194919792370250222842333
Screening every 3 y621710 1902020487435834782220630902687383025393455
Screening every 2 y767822 118d255210 504d41287457260550023163612529365387
50-54 y
Screening once per lifetime397639761674197432163216260926092296229621342134
Screening every 10 y425348441564140928972367201014792122187620691972
Screening every 5 y521079821850275229983197209122192292260922382560
Screening every 3 y580383662233671532524255232035502542319724243161
Screening every 2 y702517 484d282112 807d36956278271048872956540127684787
55-59 y
Screening once per lifetime327132711394139426012601212721271882188219201920
Screening every 10 y484152 896e1527204327463194215121912084260821942954
Screening every 5 y502656201680257327772868218622772155236622102258
Screening every 3 y616213 002d2076565830464045247634212443349624553346
Screening every 2 y692012 320d252313 669d33575377281450082745477026944255
60-64 y
Screening once per lifetime363536351360136024762476199519951794179420542054
Screening every 5 y531031 253e1566261126973324223527362055274123243033
Screening every 3 y608211 374d1805487128473515244833212228300124593044
Screening every 2 y64929464207611 769d30114159268343342399362125863459
65-69 y
Screening once per lifetime865386531741174131283128237523752185218530533053
Screening every 2 y14 302d25 436d2019480133724011274736442456315333133959

Abbreviations: CIS, carcinoma in situ; EC, esophageal cancer; GC, gastric cancer; ICER, incremental cost-effectiveness ratio.

Only main sensitive parameters are shown; ICERs are expressed as the value in 2019.

As a set of parameters, all the parameters changed simultaneously with a positive correlation in univariate sensitivity analyses.

Including screening mobilization and administration costs, endoscopic examination costs, and treatment costs for endoscopic complications. The 3 parameters changed simultaneously with a positive correlation in univariate sensitivity analyses.

The upper limit of ICER was higher than the per capita GDP but lower than 3 times the per capita GDP.

The upper limit of ICER was higher than 3 times the per capita GDP.

Abbreviations: CIS, carcinoma in situ; EC, esophageal cancer; GC, gastric cancer; ICER, incremental cost-effectiveness ratio. Only main sensitive parameters are shown; ICERs are expressed as the value in 2019. As a set of parameters, all the parameters changed simultaneously with a positive correlation in univariate sensitivity analyses. Including screening mobilization and administration costs, endoscopic examination costs, and treatment costs for endoscopic complications. The 3 parameters changed simultaneously with a positive correlation in univariate sensitivity analyses. The upper limit of ICER was higher than the per capita GDP but lower than 3 times the per capita GDP. The upper limit of ICER was higher than 3 times the per capita GDP. The results of the probabilistic sensitivity analyses of each screening strategy compared with no screening are shown in Figure 1. The probability of each screening strategy being cost-effective increased as the willingness-to-pay threshold increased and reached 91% to 98% even at a willingness-to-pay threshold of the per capita GDP. The results of the probabilistic sensitivity analyses conducted for each strategy compared with all other strategies are shown in Figure 2. Screening every 2 years maintained its dominance from a willingness-to-pay threshold of less than the per capita GDP to a willingness-to-pay threshold equal to 3 times the per capita GDP at each initial screening age, with probabilities of 82% to 93% and 90% to 98% for being optimal at 1 and 3 times per capita GDP, respectively. Therefore, all screening strategies would be more cost-effective than no screening, and screening every 2 years would be the optimal strategy at a willingness-to-pay threshold of 3 times the per capita GDP.
Figure 1.

Cost-effectiveness Acceptability Curves of All Screening Strategies Compared With No Screening by Initial Screening Age

Dashed vertical blue lines represent per capita gross domestic product (GDP); dashed vertical black lines represent 3 times per capita GDP. QALY indicates quality-adjusted life-year.

Figure 2.

Cost-effectiveness Acceptability Curves of All Strategies Competing With Each Other by Initial Screening Age

Dashed vertical blue lines represent per capita gross domestic product (GDP); dashed vertical black lines represent 3 times per capita GDP. QALY indicates quality-adjusted life-year.

Cost-effectiveness Acceptability Curves of All Screening Strategies Compared With No Screening by Initial Screening Age

Dashed vertical blue lines represent per capita gross domestic product (GDP); dashed vertical black lines represent 3 times per capita GDP. QALY indicates quality-adjusted life-year.

Cost-effectiveness Acceptability Curves of All Strategies Competing With Each Other by Initial Screening Age

Dashed vertical blue lines represent per capita gross domestic product (GDP); dashed vertical black lines represent 3 times per capita GDP. QALY indicates quality-adjusted life-year.

Discussion

Upper gastrointestinal tract cancer continues to be a major public health burden in areas in China where incidence and mortality rate for this cancer are higher than those in other areas. The present study targeted local residents aged 40 to 69 years in areas where the risk of UGIC is high who were most likely to benefit from endoscopic screening according to the age characteristics of UGIC incidence and life expectancy in China, and this population accounts for a large proportion of patients with UGIC in China. Our base-case results suggest that combined endoscopic screening for EC and GC would be more cost-effective than no screening regardless of the initial screening age or screening frequency; this finding is consistent with the conclusion reported in a systematic review.[52] Screening every 2 years would be the optimal strategy, and an initial screening age of 40 to 44 years was associated with the most health benefits. A screening frequency of 1 to 5 years has been previously proposed,[53] with the optimal interval being less than 3 years.[54] Most cases of early UGIC that were missed at the first endoscopic examination and subsequently identified in the second screening within 3 years were still amenable to curative surgery,[55] which could theoretically increase the sensitivity of endoscopic examination after 2 consecutive screenings.[13] The optimal strategy in this study was similar to the guidelines recommended in Japan and South Korea,[8,9] where the incidence rates are as high as those in China. Areas in China where the risk of UGIC is high are usually rural and have limited health resources and an underdeveloped economy.[56,57] Policy makers should consider the cost and effectiveness of the screening strategy, local economic level, and disease burden of UGIC when choosing appropriate screening strategies. If screening once per lifetime, which was the least expensive screening strategy, is preferable, the optimal initial screening age suggested by this study is 65 to 69 years. Univariate sensitivity analyses revealed that utility scores of EC- and GC-related health states and compliance with screening were the 2 main sensitivity parameters. In this study, because most patients diagnosed with mild esophageal dysplasia, moderate esophageal dysplasia, or low-grade gastric intraepithelial neoplasia did not have symptoms, we used a utility score of 1 in the base-case analysis and a range of 0.98 to 1 in the sensitivity analyses according to other reports.[37,38] Whether any decrements in the quality of life could be present in patients diagnosed with mild esophageal dysplasia, moderate esophageal dysplasia, or low-grade intraepithelial neoplasia if they were asymptomatic and received education regarding their true cancer risk is unknown.[17] Although previous studies have found that patients with precancerous lesions have a poorer quality of life than the general population,[58,59] whether the decrement in the quality of life is caused by coexisting symptoms (eg, esophagitis, gastric ulcers) or the patient’s perception of cancer risk remains unknown.[60] Future studies should focus on the effect on the quality of life among those diagnosed with precancerous lesions. Compliance with screening affected whether the optimal strategy was screening every 2 years or screening every 3 years at a willingness-to-pay threshold of the per capita GDP. Endoscopic screening may be associated with reduced incidence and mortality of UGIC, and improving compliance among the target population is critical for achieving prevention effectiveness. The compliance with screening in this study was only 49%, which was derived from the areas with the highest incidence of UGIC in China[18]; these areas have the most longstanding promotion times and the most abundant experience with endoscopic screening and have residents with the highest cognitive understanding of endoscopic screening. Endoscopic screening is relatively expensive and slightly invasive, resulting in discomfort when individuals are examined. In addition, most of the target population, aged 40 to 69 years (especially men), in areas where there is high risk of UGIC are the primary sources of family income and migrate elsewhere for work. Therefore, compliance with endoscopic screening for UGIC is still low in China, and further popularization and promotion of endoscopic screening are needed to improve compliance.

Limitations

This study has limitations. The accuracy of the model depends on the accuracy of parameter estimates. First, base-case initial probabilities of EC- and GC-related health states were derived from the study by Chen et al.[23] Residents of areas where there is high risk of UGIC enrolled in the project may have had a higher incidence of this cancer; thus, the estimated parameters may not represent the status of the entire region. Second, annual progression or regression transition probabilities of health states should increase or decrease with age in the real world. However, those between specific precancerous lesion states were fixed owing to the lack of relevant observational data. As a result, the cost-effectiveness of screening strategies may be overestimated in younger age groups and underestimated in older age groups. Third, compliance with different screening frequencies was assumed to be consistent in the model. In the real world, a higher screening frequency may be associated with a reduction in compliance because of patients’ concerns about pain and sedation and competing life demands.[61,62] Fourth, annual screening was not considered as an alternative strategy in this study because it has not been recommended in any country until now. In addition, the burden may be difficult to address in countries with low GDP.

Conclusions

To our knowledge, this is the first comprehensive cost-effectiveness analysis of endoscopic screening for both EC and GC in China. The findings from the present study suggest that from the perspective of the health care system, combined endoscopic screening for EC and GC would be highly cost-effective for people aged 40 to 69 years in areas of China where there is a high risk of UGIC; screening every 2 years would be the optimal strategy. The findings provide important evidence for policies targeting the prevention and control of UGIC in China.
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