| Literature DB >> 32728390 |
Andrew Canakis1, Ethan Pani2, Monica Saumoy3, Shailja C Shah4.
Abstract
AIMS: Gastric cancer (GC) is the third leading cause of cancer death worldwide, but the burden of disease is not distributed evenly. GC screening routinely occurs in some high-incidence regions/countries and is generally cost-effective, which is attributed largely to the associated GC mortality reduction. In regions of low-intermediate incidence, less is known about the outcomes of GC screening and gastric precancer surveillance, including cost-effectiveness, since there are no comparative clinical studies. Decision analytic studies are informative in such instances where logistical limitations preclude "gold standard" study designs. We therefore aimed to conduct a systematic review of decision model analyses focused on endoscopic GC screening or precancer surveillance.Entities:
Keywords: cost effective analysis; cost utility analysis; decision model analyses; gastric cancer; screening; surveillance; systematic review
Year: 2020 PMID: 32728390 PMCID: PMC7366398 DOI: 10.1177/1756284820941662
Source DB: PubMed Journal: Therap Adv Gastroenterol ISSN: 1756-283X Impact factor: 4.409
Figure 1.PRISMA flow diagram of study selection.
PRISMA, preferred reporting items for systematic reviews and meta-analyses.
Characteristics of gastric cancer screening studies.
| Study | Study design | Population and/or base-case description | Health states | Study arms | Outcomes |
|---|---|---|---|---|---|
|
| |||||
| Cho | CEA, Non-simulated model based on real world
data | Age: ⩾40 yo | No health states provided | 1) No screening | WTP Threshold: No ICER threshold provided; |
| Chang | CUA, Markov model, 1-year cycle | Age: 30–80 yo | Pre-neoplasia: None | No screening compared with 12 Strategies, with two available
screening methods: | WTP Threshold: $19,162/QALY (based on 2008 International
Monetary Fund data) |
| Lee | Direct cost analysis, Non-simulated model based on real world
data for which cost effectiveness was defined as the cheapest
strategy of the compared arms | Age: ⩾ 40 yo | Included patients who underwent GC screening by UGIS or EGD in Korea between 2002 and 2004 | Model I: | WTP Threshold: No ICER threshold available. Model I
|
| Kowada[ | CEA, Markov Model | Age: 50–80 yo | “Healthy”: with or without HP | 1) HP screening | WTP Threshold: $50,000/QALY |
| Saito | CEA, Markov model | Age: ⩾ 50 yo | “Healthy”: seronegative or seropositive (as defined by presence
of HP or PG) | Compared only two strategies: | WTP Threshold: $50,000/QALY |
| Tashiro | Direct cost analysis. Non-simulated model based on real world
data | Age: ⩾ 40 yo | (No health states detailed) | 1) EGD | WTP Threshold: not applicable; the costs of identifying one case
of GC were calculated based on the total expense for each
screening program. |
|
| |||||
| Dan | CUA, Markov model | Age: 50–70 yo | Pre-neoplasia: None | 1) No screening | WTP Threshold: $50,000/QALY was adopted and rationalized to
$28,000 (based on Singapore’s 2003 GNI per capita (USD 21,230)
to that of US (USD 37,610). |
| Areia | CUA, Markov model | Age: 50–75 yo | Pre-neoplasia: None | 1) No Screening | WTP Threshold: Euros 37,000/QALY |
AG, Atrophic gastritis; ASR, age standardized rate; BE, Barrett’s Esophagus; CEA, cost effective analysis; CUA, cost utility analysis; EC, Esophageal Cancer; EGD, Esophagogastroduodenoscopy; EMR, endoscopic mucosal resection; GC, Gastric cancer; GDP, gross domestic product; HP, Helicobacter pylori; ICER, incremental cost-effectiveness ratio; IM, Intestinal Metaplasia; NCGA, noncardia gastric adenocarcinoma; NCSP, National Cancer Screening Program; NHB, Non-Hispanic black; NHW, Non-Hispanic white; OLGA, operative link of gastritis; PG, serum pepsinogen; q, every; QALY, quality-adjusted life years; UGIS, Upper Gastrointestinal Series; WTP, willingness-to-pay; yo, years old.
High-incidence countries defined as countries with an age standardized rate (ASR) in males and females greater than 10 per 100,000 of the world standard population, whereas low-incidence countries were defined as an ASR less than 10.[15]
ABC method (i.e. presence of anti-Helicobacter pylori IgG antibody (HPA) and serum pepsinogen (PG)); then classify individuals into four groups: negative for both HPA and gastric atrophy (group A); seropositive for H. pylori but negative for gastric atrophy (group B); positive for both HPA and gastric atrophy (group C); gastric atrophy with HPA concentrations below the cut-off value (group D).
Characteristics of gastric precancer surveillance studies.
| Study | Study design | Population and/or base-case description | Health states | Study arms | Outcomes |
|---|---|---|---|---|---|
|
| |||||
| Areia | CUA, Markov model | Age: 50 yo | Pre-neoplasia: AG or IM (without distinguishing
subtype) | 1) No surveillance | WTP adopted threshold: Euros 36,574/QALY
(corresponding |
| Lahner | Direct cost analysis. Non-simulated model based on real
world data from Italy | Age: Median 55 yo, range 22–84 | No health states (all started at AG) | Following diagnosis of AG, patients underwent surveillance
EGD at 4-year intervals | WTP Threshold: n/a |
| Yeh | CUA, Markov model | Age: ⩾ 50 yo | Pre-neoplasia: Gastritis, Atrophy, IM,
dysplasia | 1) No surveillance or treatment | WTP Threshold: $50,000/QALY |
| Hassan | CEA, Markov model | Age: ⩾ 60 yo | Pre-neoplasia: IM | 1) No surveillance | WTP Threshold: $100,000/QALY |
High-incidence countries defined as countries with an age standardized rate (ASR) in males and females greater than 10 per 100,000 of the world standard population, whereas low-incidence countries were defined as an ASR less than 10.[15]
Characteristics of gastric (pre)cancer screening and surveillance studies.
| Study | Study design | Population and/or base-case description | Health states | Study arms | Outcomes |
|---|---|---|---|---|---|
|
| |||||
| Wu | CEA, Markov model | Age: 50–69 yo | No endoscopy-detectable GC | 1) No EGD | WTP Threshold: $44,000/QALY |
| Zhou | CEA, Markov model | Age: 50–69 yo | Pre-neoplasia: asymptomatic state of low risk and high risk
subjects | 1) No Screening | WTP Threshold: $46,200/QALY |
| ratio for GC of the high-risk group, prevalence of premalignant lesions, utility of GC Stage 1 and early detection effect in the interval years of the 2-yearly surveillance program. | |||||
| Saumoy | CEA, Markov model | Age: 50 yo | Pre-neoplasia: Gastritis (+/– HP), AG, IM,
Dysplasia | 1) No screening | WTP Threshold: $100,000/QALY |
| Yeh | CEA, Markov model, Mathematical simulation model of
intestinal-type NCGA | Age: 50 yo ⩾ | Pre-neoplasia: Gastritis, Atrophy, GIM,
Dysplasia | 1) No screening | WTP Threshold: $100,000/QALY |
| Gupta | CUA, Markov model | Age: 50 yo | Pre-neoplasia: AG, IM, low- and high-grade gastric
dysplasia | 1) No Screening | WTP Threshold: $100,000/QALY |
High-incidence countries defined as countries with an age standardized rate (ASR) in males and females greater than 10 per 100,000 of the world standard population, whereas low-incidence countries were defined as an ASR less than 10.[15]
Figure 2.Systematic quality assessment of included studies based on a modified Drummond scoring system. The maximum score for the modified checklist was 27. From the original 35-item checklist, 8 items were not scored for the present qualitative analysis based on irrelevance or redundancy with other checklist items. These 8 items included: the choice of form of economic evaluation is justified in relation to the questions addressed; the source of effectiveness estimates used are stated; details of the method of synthesis or meta-analysis of estimates are given; details of the subjects from whom valuations were obtained are given; the relevance of productivity changes to the study question is discussed; quantities of resources are reported separately from their unit costs; relevant alternatives are compared; the answer to the study question is given.