Back

A cost-effectiveness of Fecal DNA methylation test for colorectal cancer screening in Saudi Arabia

Yang, Z.; Shi, M.; Liu, M.; Wang, Z.; Huang, H.; Wang, S.; Zheng, X.; Liu, Y.; Liu, N.; Li, Y.; Lau, E.; Zhu, S.

2022-11-18 health economics
10.1101/2022.11.15.22282325
Show abstract

BackgroundIn the Saudi Arabia, we estimated the cost-effectiveness between fecal DNA methylation test (FDMT) and fecal immunochemical testing (FIT) to detect colorectal cancer (CRC) and precancerous lesions in the national screening program. Participants and methodsA Markov model was used from 45 to 74 years old CRC screening to compare the cost-effectiveness with the FDMT vs FIT. We predicated the longitudinal participation patterns in the perfect adherence vs organized programs screening covered by national budgets. Outcomes incorporated the incidence rates and mortality rates, cost, quality-adjusted life-years (QALYs), incremental cost-effectiveness ratios (ICERs) under the perfect adherence as well as incidence and mortality forecast within 3, 6 and 9 years. ResultsUnder the perfect adherence, the total cost of FDMT was cheaper 38.16% than FIT and extends 0.22 QALYs per person. Furthermore, FDMT was more cost-effective as ICERs ($1487.30 vs $1982.42 per QALY saved) compared with FIT test. Therefore, FDMT test dominated than FIT every year (more costly and less effective). Compared with the organized FDMT programs (6.6% initial positive rate and 54% coloscopy compliance rate), the FIT program (5.8% initial positive rate and 48% coloscopy compliance rate) had 6.25 times to 7.76 times on the incidence rates; 5.12 times to 12.19 times on the mortality rates among 3, 6 and 9 years prediction. ConclusionsThrough the Markov model, we compared FDMT was less costly and more effective than the FIT test under the perfect and organized adherence within nine years prediction. It implied that FDMT might the novel cost-effective tool for Saudi Arabia national screening program.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
PLOS ONE
based on 1737 papers
Top 20%
18.9%
2
British Journal of Cancer
based on 22 papers
Top 0.4%
7.1%
3
Scientific Reports
based on 701 papers
Top 30%
5.9%
4
Journal of Medical Economics
based on 10 papers
Top 0.3%
5.0%
5
BMJ Open
based on 553 papers
Top 26%
3.3%
6
BMC Public Health
based on 148 papers
Top 6%
3.1%
7
Genetics in Medicine
based on 57 papers
Top 2%
3.1%
8
Journal of Medical Internet Research
based on 81 papers
Top 6%
2.8%
9
Travel Medicine and Infectious Disease
based on 14 papers
Top 0.1%
2.7%
50% of probability mass above
10
Healthcare
based on 14 papers
Top 0.3%
2.6%
11
BMC Medicine
based on 155 papers
Top 7%
2.6%
12
Archives of Clinical and Biomedical Research
based on 18 papers
Top 0.2%
2.6%
13
European Radiology
based on 11 papers
Top 1%
2.5%
14
International Journal of Environmental Research and Public Health
based on 116 papers
Top 13%
1.7%
15
Nutrients
based on 43 papers
Top 3%
1.7%
16
Cureus
based on 64 papers
Top 11%
1.5%
17
eLife
based on 262 papers
Top 19%
1.5%
18
Frontiers in Public Health
based on 135 papers
Top 18%
1.5%
19
BMC Health Services Research
based on 43 papers
Top 3%
1.5%
20
Clinical Infectious Diseases
based on 219 papers
Top 15%
1.5%
21
Frontiers in Medicine
based on 99 papers
Top 12%
1.5%
22
Frontiers in Oncology
based on 34 papers
Top 5%
1.3%
23
Aging
based on 18 papers
Top 2%
1.3%
24
The Journal of Molecular Diagnostics
based on 24 papers
Top 1%
1.3%
25
Vaccines
based on 131 papers
Top 4%
1.3%
26
Journal of Public Health
based on 23 papers
Top 2%
0.9%
27
eClinicalMedicine
based on 55 papers
Top 4%
0.9%
28
Public Health Nutrition
based on 14 papers
Top 1%
0.7%
29
PLOS Global Public Health
based on 287 papers
Top 21%
0.7%
30
One Health
based on 15 papers
Top 2%
0.7%