Copyright
©The Author(s) 2025.
World J Gastroenterol. Aug 28, 2025; 31(32): 110333
Published online Aug 28, 2025. doi: 10.3748/wjg.v31.i32.110333
Published online Aug 28, 2025. doi: 10.3748/wjg.v31.i32.110333
Table 1 Input parameters
Input parameter | Distribution | Base-case value | SE | Ref. |
Test performance1 (%) | ||||
FIB-4 index ≥ 1.3 | Alkhouri et al[18] | |||
Sensitivity | Beta | 66.0 | 1.2 | |
Specificity | Beta | 65.0 | 1.4 | |
SAFE score ≥ 0 | Alkhouri et al[18] | |||
Sensitivity | Beta | 87.3 | 0.8 | |
Specificity | Beta | 35.1 | 1.4 | |
TE, LSM ≥ 7 kPa | Selvaraj et al[10] | |||
Sensitivity | Beta | 80.1 | 2.1 | |
Specificity | Beta | 73.0 | 2.6 | |
Epidemiological data | ||||
Prevalence of MASLD | Phisalprapa et al[12] | |||
Age 18-39.9 years | Beta | 0.353 | 0.013 | |
Age 40-59.9 years | Beta | 0.348 | 0.002 | |
Age ≥ 60 years | Beta | 0.244 | 0.004 | |
Prevalence of MASLD with significant fibrosis | Primary data (Supplementary Table 2) | |||
Age 30-39.9 years | Beta | 0.304 | 0.096 | |
Age 40-49.9 years | Beta | 0.333 | 0.068 | |
Age 50-59.9 years | Beta | 0.304 | 0.037 | |
Age 60-69.9 years | Beta | 0.404 | 0.031 | |
Age 70-79.9 years | Beta | 0.403 | 0.041 | |
Age ≥ 80 years | Beta | 0.659 | 0.074 | |
Incidence of MASLD (cases per 1000 patient-years) | Beta | 42.8 | 2.2 | Park et al[21] |
Treatment effectiveness | ||||
RRR of lifestyle modification | Log-normal | 0.204 | 0.124 | Vilar-Gomez et al[8] |
Transitional probability | ||||
No MASLD - MASLDF0 | Beta | 0.043 | 0.002 | Park et al[21] |
MASLDF0 - no MASLD | Beta | 0.024 | 0.013 | Le et al[22] |
MASLDF0 - MASLDF1 | Beta | 0.063 | 0.025 | |
MASLDF1 - MASLDF0 | Beta | 0.025 | 0.017 | |
MASLDF1 - MASLDF2 | Beta | 0.067 | 0.025 | |
MASLDF2 - MASLDF1 | Beta | 0.045 | 0.022 | |
MASLDF2 - MASLDF3 | Beta | 0.056 | 0.024 | |
MASLDF3 - MASLDF2 | Beta | 0.058 | 0.024 | |
MASLDF3 - MASLDF4/CC | Beta | 0.044 | 0.021 | |
MASLDF4/CC - MASLDF3 | Beta | 0.046 | 0.022 | |
MASLDF4/CC - DC | Beta | 0.043 | 0.041 | Gruneau et al[23] |
MASLDF4/CC - HCC | Beta | 0.008 | 0.017 | |
DC - HCC | Beta | 0.029 | 0.045 | |
DC - LT (age ≤ 70 years) | Beta | 0.003 | 0.012 | |
HCC - LT (age ≤ 70 years) | Beta | 0.012 | 0.027 | |
Utilities | ||||
DM | Beta | 0.753 | 0.116 | Deerochanawong et al[32] |
MASLDF0-F3 | Beta | 0.753 | 0.116 | |
MASLDF4/CC | Beta | 0.748 | 0.042 | Chongmelaxme et al[19] |
DC | Beta | 0.603 | 0.022 | Prakongsai et al[24] |
HCC | Beta | 0.380 | 0.015 | Levy et al[33] |
LT | Beta | 0.570 | 0.015 | |
Post LT | Beta | 0.683 | 0.015 | Prakongsai et al[24] |
Costs | ||||
Direct medical costs, 2023; THB (USD) | ||||
FIB-4 index | Gamma | 271.0 (7.8) | NA2 | Riewpaiboon[34] |
SAFE score | Gamma | 355.4 (10.3) | NA2 | |
Transient elastography | Gamma | 2000.0 (57.7) | 500.0 (14.4) | Primary data |
Lifestyle modification program | Gamma | 1426.8 (41.2) | 356.7 (10.3) | Riewpaiboon[34] |
Treatment, THB (USD) per year | ||||
DM without MASLD | Gamma | 9579.6 (276.6) | 2394.9 (69.1) | Primary data (Supplementary Table 4) |
DM with MASLDF0-F3 | Gamma | 12340.9 (356.3) | 3085.2 (89.1) | Primary data (Supplementary Table 4) |
DM with MASLDF4/CC | Gamma | 38746.5 (1118.6) | 9686.6 (279.6) | Primary data (Supplementary Table 4) |
DC | Gamma | 151164.1 (4363.9) | 37791.0 (1091.0) | Chongmelaxme et al[19] and Thongsawat et al[35] |
HCC | Gamma | 184822.2 (5335.6) | 46205.5 (1333.9) | |
LT | Gamma | 683432.3 (19729.9) | 170858.1 (4932.5) | |
Post LT | Gamma | 110287.1 (3183.9) | 27571.8 (796.0) | |
Direct non-medical costs, THB (USD) per visit | ||||
Secondary hospital | ||||
Food | Gamma | 33.1 (1.0) | 4.0 (0.1) | Riewpaiboon[34] |
Transportation | Gamma | 91.2 (2.6) | 5.2 (0.1) | |
Tertiary hospital | ||||
Food | Gamma | 66.2 (1.9) | 6.7 (0.2) | Riewpaiboon[34] |
Transportation | Gamma | 179.7 (5.2) | 14.6 (0.4) |
Table 2 Cost-utility analysis outcomes, screening age at 50 years
Outcome | No screening | FIB-4 + TE | SAFE + TE | TE alone |
Life expectancy (years) | 25.30 | 25.33 | 25.33 | 25.34 |
Total lifetime cost, THB (USD) | 198681.9 (5735.72) | 199481.6 (5758.8) | 199883.2 (5770.4) | 200402.6 (5785.4) |
Total QALYs | 12.788 | 12.798 | 12.803 | 12.805 |
Compared to no screening | ||||
Incremental cost, THB (USD) | 799.7 (23.1) | 1201.3 (34.7) | 1720.7 (49.7) | |
Incremental QALYs | 0.011 | 0.015 | 0.017 | |
ICER, THB (USD) per QALY gained | 75961.0 (2192.9) | 80384.5 (2320.6) | 98964.5 (2857.0) | |
Interpretation | Cost-effective1 | Cost-effective1 | Cost-effective1 | |
Extended dominance analysis | ||||
Incremental cost, THB (USD) | 799.7 (23.1) | 401.6 (11.6) | 519.3 (15.0) | |
Incremental QALYs | 0.011 | 0.004 | 0.002 | |
ICER, THB (USD) per QALY gained | 75961.0 (2192.9) | 90927.9 (2625.0) | 212678.2 (6139.8) | |
Interpretation | Cost-effective1 | Cost-effective2 | Not cost-effective3 |
Table 3 Budget impact analysis
Parameter | Y1 | Y2 | Y3 | Y4 | Y5 | Total |
Total population | 21348831 | 21348831 | ||||
New population | 1028431 | 1011655 | 1033245 | 1046481 | 4119812 | |
Patients with DM | 2113534 | 9331 | 9179 | 9375 | 9495 | 2150915 |
Patients evaluated with scoring system | 1902181 | 8398 | 8261 | 8438 | 8546 | 1935824 |
FIB-4 + TE | ||||||
Patients with FIB-4 ≥ 1.3 | 1004193 | 2990 | 2941 | 3004 | 3042 | 1016170 |
Patients undergo TE | 903774 | 2691 | 2647 | 2703 | 2738 | 914553 |
Total BIA, THB (USD) | 2323021957 (67062996) | 7657269 (221057) | 7532362 (217451) | 7693112 (222091) | 7791661 (224936) | 2353696361 (67948531) |
Average annual budget, THB (USD) | 470739272 (13589706) | |||||
SAFE + TE | ||||||
Patients with SAFE ≥ 0 | 1687835 | 7338 | 7219 | 7373 | 7467 | 1717232 |
Patients undergo TE | 1519052 | 6604 | 6497 | 6635 | 6720 | 1545509 |
Total BIA, THB (USD) | 3714212955 (107225095) | 16194000 (467502) | 15929840 (459876) | 16269803 (469691) | 16478221 (475707) | 3779084819 (109097872) |
Average annual budget, THB (USD) | 755816964 (21819574) | |||||
TE alone | ||||||
Patients undergo screening | 1690827 | 7465 | 7343 | 7500 | 7596 | 1720732 |
Total BIA, THB (USD) | 3381654830 (97624521) | 14930254 (431019) | 14686708 (423989) | 15000141 (433037) | 15192295 (438584) | 3441464227 (99351150) |
Average annual budget, THB (USD) | 688292845 (19870230) |
- Citation: Kositamongkol C, Tantiyavarong P, Ratanatawan A, Sripongpun P, Mahawithitwong P, Kositamongkol P, Saokaew S, Phisalprapa P. Cost-effectiveness of transient elastography for liver fibrosis screening in Thai patients with diabetes mellitus. World J Gastroenterol 2025; 31(32): 110333
- URL: https://www.wjgnet.com/1007-9327/full/v31/i32/110333.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i32.110333