, Gunho Kim3
, Ju Hyun Shim1,2
, Jihyun An4
1Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
2Liver Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
3Hanyang University College of Medicine, Seoul, Korea
4Department of Gastroenterology and Hepatology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea
© 2025 The Korean Liver Cancer Association.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Conflicts of Interest
The authors have no conflicts to disclose.
Ethics Statement
This review article is fully based on articles which have already been published and did not involve additional patient participants. Therefore, IRB approval is not necessary.
Funding Statement
This study was supported by Korean Liver Cancer Association Research Award 2025, and by grants from the National Research Foundation of Korea funded by the Ministry of Science and ICT (NRF-2022R1A2C3008956, NRF-2021R1A6A1A03040260, and RS-2022-00166674), Asan Institute for Life Sciences (grant No. 2022IP0046), and the Elimination of Cancer Project Fund from the Asan Cancer Institute of Asan Medical Center. The grant source was not involved in the study design, the collection, analysis, and interpretation of data, the writing of the report, and the decision to submit the paper for publication.
Data Availability
Not applicable.
Author Contributions
Conceptualization: JY, JHS, JA
Data curation: JY, GK, JHS, JA
Formal analysis: JY, JHS, JA
Funding acquisition: JHS, JA
Investigation: JY, GK, JHS, JA
Methodology: JY, JHS, JA
Resources: JY
Supervision: JHS, JA
Validation: JA
Visualization: JA
Writing - original draft: JY, GK, JHS, JA
Writing - review & editing: JY, JHS, JA
| Study | Study population | Number of subjects* | Classes of comparator drug | Definition of outcomes | Statistical analysis | aHR (95% CI) |
|---|---|---|---|---|---|---|
| Cirrhosis | ||||||
| Yang et al.21 (2020) | T2DM and age ≥65 years | Cohort 1, 10,728 | TZD | Overall cirrhosis | Standard mortality weighting using PS | 1.34 (0.82-2.20) |
| Cohort 2, 10,977 | DPP-4i | 1.08 (0.75-1.56) | ||||
| Engström et al.17 (2024) | T2DM | 91,479 | DPP-4i | Overall cirrhosis | Standard mortality weighting using PS | 0.85 (0.75-0.97) |
| Yang et al.26 (2024) | T2DM | 7,171 | Long-acting insulin | Overall cirrhosis | PS matching (1:1) with competing risk analysis | 0.59 (0.43-0.81)† |
| Kanwal et al.28 (2024) | Cohort 1, T2DM and MASLD without cirrhosis | 14,606 | DPP-4i | Overall cirrhosis | PS matching (1:1) | 0.86 (0.75-0.98) |
| Hepatic decompensation | ||||||
| Simon et al.29 (2022) | T2DM and cirrhosis | Cohort 1, 1,431 | DPP-4i | Ascites, SBP, HRS, esophageal varix bleeding, or HEP | PS matching (1:1) with competing risk analysis | 0.68 (0.53-0.88) |
| Cohort 2, 1,246 | SU | 0.64 (0.48-0.84) | ||||
| Cohort 3, 845 | SGLT-2i | 0.89 (0.62-1.28) | ||||
| Wang et al.16 (2024) | T2DM | Cohort 1, 46,470 | Insulin | Ascites, SBP, HEP, or esophageal varix | PS matching (1:1) | 0.17 (0.15-0.19) |
| Cohort 2, 93,354 | SU | 0.70 (0.66-0.74) | ||||
| Cohort 3, 46,260 | Metformin | 0.91 (0.84-0.98) | ||||
| Cohort 4, 102,868 | DPP-4i | 0.68 (0.65-0.72) | ||||
| Cohort 5, 53,204 | SGLT-2i | 0.88 (0.82-0.95) | ||||
| Cohort 6, 62,618 | TZD | 0.82 (0.76-0.88) | ||||
| Yen et al.25 (2024) | T2DM | 31,156 | Non-GLP-1 RA users | Hepatic failure | PS matching (1:1) | 0.92 (0.66-1.30) |
| Yen et al.18 (2024) | T2DM and cirrhosis | 467 | Non-GLP-1 RA users | Ascites, HEP, esophageal varix bleeding, or jaundice | PS matching (1:1) with competing risk analysis | 0.70 (0.49-0.99) |
| Kanwal et al.28 (2024) | Cohort 1, T2DM and MASLD without cirrhosis | 14,606 | DPP-4i | Cirrhosis complication (ascites, HEP, HRS, esophageal varix bleeding, portal hypertension) | PS matching (1:1) | 0.75 (0.55-1.01) |
| Cohort 2, T2DM and MASLD cirrhosis | 1,452 | 1.14 (0.72-1.82) | ||||
| Elsaid et al.30 (2024) | T2DM and MASLD cirrhosis | 459 | Non-GLP-1 RA users | Ascites, HEP, HRS, SBP, esophageal varix bleeding | Overlap PS weighting | 0.74 (0.61-0.88) |
| Rashid et al.27 (2025) | T2DM, ALD and age ≥65 years | 317 | Non-GLP-1 RA users | HEP, ascites, esophageal bleeding, or jaundice | Overlap PS weighting | 0.56 (0.36-0.86) |
| Hepatocellular carcinoma | ||||||
| Engström et al.17 (2024) | T2DM | 91,479 | DPP-4i | HCC | Standard mortality weighting using PS | 1.05 (0.80-1.39) |
| Wang et al.16 (2024) | T2DM | Cohort 1, 46,470 | Insulin | HCC | PS matching (1:1) | 0.20 (0.13-0.31) |
| Cohort 2, 93,354 | SU | 0.78 (0.65-0.93) | ||||
| Cohort 3, 46,260 | Metformin | 0.99 (0.79-1.27) | ||||
| Cohort 4, 102,868 | DPP-4i | 0.89 (0.76-1.05) | ||||
| Cohort 5, 53,204 | SGLT-2i | 1.03 (0.82-1.29) | ||||
| Cohort 6, 62,618 | TZD | 1.15 (0.92-1.45) | ||||
| Yen et al.25 (2024) | T2DM | 31,156 | Non-GLP-1 RA users | HCC | PS matching (1:1) | 0.91 (0.59-1.40) |
| Yen et al.18 (2024) | T2DM and cirrhosis | 467 | Non-GLP-1 RA users | HCC | PS matching (1:1) with competing risk analysis | 1.02 (0.64-1.61) |
| Kanwal et al.28 (2024) | Cohort 1, T2DM and MASLD without cirrhosis | 14,606 | DPP-4i | HCC | PS matching (1:1) | 0.89 (0.40-2.01) |
| Cohort 2, T2DM and MASLD with cirrhosis | 1,452 | 1.41 (0.69-2.90) | ||||
| Elsaid et al.30 (2024) | T2DM and MASLD cirrhosis | 459 | Non-GLP-1 RA users | HCC | Overlap PS weighting | 0.37 (0.20-0.63) |
| Yang et al.26 (2024) | T2DM | 7,171 | Long-acting insulin | HCC | PS matching (1:1) with competing risk analysis | 0.47 (0.24-0.93)† |
| Rashid et al.27 (2025) | T2DM, ALD and age ≥65 years | 317 | Non-GLP-1 RA users | HCC | Overlap PS weighting | 0.32 (0.06-1.63) |
| Mortality outcomes | ||||||
| Kanwal et al.28 (2024) | Cohort 1, T2DM and MASLD without cirrhosis | 14,606 | DPP-4i | Overall mortality | PS matching (1:1) | 0.89 (0.81-0.98) |
| Cohort 2, T2DM and MASLD cirrhosis | 1,452 | 0.88 (0.73-1.06) | ||||
| Yen et al.25 (2024) | T2DM | 31,156 | Non-GLP-1 RA users | Overall mortality | PS matching (1:1) | Overall death, 0.48 (0.43-0.53) |
| CV mortality | CV death, 0.57 (0.45-0.72) | |||||
| Liver-related mortality | Liver-related death, 0.32 (0.13-0.75) | |||||
| Yen et al.18 (2024) | T2DM and cirrhosis | 467 | Non-GLP-1 RA users | Overall mortality | PS matching (1:1) with competing risk analysis | 0.47 (0.32-0.69) |
| Krishnan et al.31 (2024) | T2DM and NAFLD | 38,804 | SGLT-2i | Overall mortality | PS matching (1:1) | 1.06 (0.97-1.15) |
GLP-1 RA, glucagon-like peptide-1 receptor agonist; aHR, adjusted hazard ratio; CI, confidence interval; T2DM, type 2 diabetes mellitus; TZD, thiazolidinediones; DPP-4i, dipeptidyl peptidase-4 inhibitor; PS, propensity score; SU, sulfonylurea; SGLT-2i, sodium-glucose cotransporter-2 inhibitor; SBP, spontaneous bacterial peritonitis; HRS, hepatorenal syndrome; HEP, hepatic encephalopathy; MASLD, metabolic dysfunction-associated steatotic liver disease; ALD, alcohol-associated liver disease; HCC, hepatocellular carcinoma; CV, cardiovascular; NAFLD, nonalcoholic fatty liver disease.
* The number of subjects receiving GLP-1 RAs was summarized and only post-propensity score-matching samples or post-weighting samples were considered except for Engström et al.17, Elsaid et al.30, and Rashid et al.27 The sample size after weighting was not documented in Engström et al.17, Elsaid et al.30, and Rashid et al.27;
† Subdistribution HR.
| Study | Study population | Number of subjects* | Classes of comparator drug | Definition of outcomes | Statistical analysis | aHR (95% CI) |
|---|---|---|---|---|---|---|
| Cirrhosis | ||||||
| Yang et al.21 (2020) | T2DM and age ≥65 years | Cohort 1, 7,849 | TZD | Overall cirrhosis | Standard mortality weighting using PS | 1.16 (0.44-3.08) |
| Cohort 2, 5,371 | DPP-4i | 0.43 (0.13-1.40) | ||||
| Cohort 3, 8,579 | GLP-1 RA | 0.56 (0.25-1.26) | ||||
| Bea et al.46 (2023) | T2DM | 114,377 | DPP-4i | Compensated cirrhosis | PS matching (1:1) | 0.65 (0.52-0.82) |
| Mao et al.38 (2024) | T2DM and MASLD, without cirrhosis | 48,446 | Non-SGLT-2i users | Overall cirrhosis | PS matching (1:1) | 0.80 (0.76-0.84) |
| Kawaguchi et al.39 (2024) | T2DM and MASLD | 4,204 | DPP-4i | Overall cirrhosis | PS matching (1:1) | 1.20 (0.32-4.48) |
| Shen et al.40 (2024) | T2DM and MASLD | 22,100 | DPP-4i | Overall cirrhosis | Overlap PS weighting | 0.77 (0.55-1.06) |
| Chung et al.37 (2024) | T2DM and MASLD/MetALD | 13,208 | DPP-4i | Overall cirrhosis | PS matching (1:6) | 0.86 (0.78-0.95) |
| Yen et al.42 (2025) | T2DM | Cohort 1, 218,927 | Non-SGLT-2i | Overall cirrhosis | PS matching (1:1) | 0.78 (0.70-0.87) |
| Cohort 2, 156,919 | DPP-4i | 0.69 (0.61-0.79) | ||||
| Cohort 3, 147,461 | GLP-1 RA | 0.82 (0.72-0.93) | ||||
| Cohort 4, 86,046 | Pioglitazone | 0.70 (0.59-0.82) | ||||
| Cohort 5, 70,118 | SU | 0.72 (0.59-0.87) | ||||
| Hepatic decompensation | ||||||
| Saffo et al.43 (2021) | T2DM and cirrhosis | 423 | DPP-4i | Ascites | PS matching (1:1) | 0.68 (0.37-1.25) |
| Bea et al.46 (2023) | T2DM | 114,377 | DPP-4i | Ascites, SBP, HRS, esophageal varices bleeding and HEP | PS matching (1:1) | 0.56 (0.44-0.71) |
| Bea et al.36 (2025) | T2DM and MASLD, aged ≥40 years | Cohort 1, 11,275 | GLP-1 RA | Ascites, esophageal varices with bleeding, hepatic failure and liver transplant | PS matching (1:1) | 0.93 (0.76-1.14) |
| Cohort 2, 95,814 | TZD | 0.77 (0.72-0.82) | ||||
| Kawaguchi et al.39 (2024) | T2DM and MASLD | 4,204 | DPP-4i | Esophageal varix, liver failure | PS matching (1:1) | Esophageal varix, 0.12 (0.01-0.95) |
| Liver failure, 0.28 (0.06-1.33) | ||||||
| Shen et al.40 (2024) | T2DM and MASLD | 22,100 | DPP-4i | Esophageal varix bleeding, ascites, HEP, HRS, and portal hypertension | Overlap PS weighting | 0.77 (0.53-1.09) |
| Chung et al.37 (2024) | T2DM and MASLD/MetALD | 13,208 | DPP-4i | Ascites, variceal bleeding, and HEP | PS matching (1:6) | 0.88 (0.79-0.98) |
| Yen et al.42 (2025) | T2DM | Cohort 1, 218,927 | Non-SGLT-2i | Decompensated cirrhosis | PS matching (1:1) | Decompensated cirrhosis, 0.79 (0.70-0.89) |
| Liver failure | Liver failure, 0.78 (0.68-0.89) | |||||
| Cohort 2, 156,919 | DPP-4i | Decompensated cirrhosis, 0.70 (0.61-0.81) | ||||
| Liver failure, 0.68 (0.58-0.79) | ||||||
| Cohort 3, 147,461 | GLP-1 RA | Decompensated cirrhosis, 0.80 (0.69-0.92) | ||||
| Liver failure, 0.78 (0.67-0.91) | ||||||
| Cohort 4, 86,046 | Pioglitazone | Decompensated cirrhosis, 0.73 (0.61-0.88) | ||||
| Liver failure, 0.72 (0.59-0.88) | ||||||
| Cohort 5, 70,118 | SU | Decompensated cirrhosis, 0.78 (0.63-0.96) | ||||
| Liver failure, 0.71 (0.56-0.89) | ||||||
| Hepatocellular carcinoma | ||||||
| Bea et al.35 (2023) | T2DM | 74,830 | DPP-4i | HCC | PS fine stratification weights | 0.81 (0.67-0.98) |
| Lee et al.41 (2023) | T2DM and chronic hepatitis B | 1,000 | Non-SGLT-2i users | HCC | PS matching (1:1) | 0.54 (0.33-0.88) |
| Cho et al.19 (2024) | Cohort 1, T2DM and NAFLD | 53,986 | Non-SGLT-2i users | HCC | PS matching (1:1) | 0.87 (0.61-1.24)† |
| Cohort 2, T2DM, FLD, and chronic viral hepatitis | 1,399 | 2.22 (1.01-4.87)† | ||||
| Mao et al.38 (2024) | T2DM and MASLD | 53,628 | Non-SGLT-2i users | HCC | PS matching (1:1) | 0.76 (0.62-0.93)† |
| Chou et al.45 (2024) | T2DM | 22,154 | DPP-4i | HCC | PS matching (1:1) with competing risk analysis | 0.42 (0.28-0.79) |
| Kawaguchi et al.39 (2024) | T2DM and MASLD | 4,204 | DPP-4i | HCC | PS matching (1:1) | 0.32 (0.03-3.04) |
| Shen et al.40 (2024) | T2DM and MASLD | 22,100 | DPP-4i | HCC | Overlap PS weighting | 0.99 (0.47-1.83) |
| Chung et al.37 (2024) | T2DM and MASLD/MetALD | 13,208 | DPP-4i | HCC | PS matching (1:6) | 0.68 (0.48-0.95) |
| Bea et al.36 (2025) | T2DM and MASLD, aged ≥ 40 years | Cohort 1, 11,275 | GLP-1 RA | HCC | PS matching (1:1) | 0.75 (0.43-1.43) |
| Cohort 2, 95,814 | TZD | 0.91 (0.76-1.09) | ||||
| Mortality outcomes | ||||||
| Saffo et al.43 (2021) | T2DM and cirrhosis | 423 | DPP-4i | Overall mortality | PS matching (1:1) | 0.33 (0.11-0.99) |
| Bea et al.46 (2023) | T2DM | 114,377 | DPP-4i | Overall mortality | PS matching (1:1) | Overall mortality, 0.63 (0.56-0.72) |
| Liver-related mortality | Liver-related mortality, 0.64 (0.37-1.11) | |||||
| Bea et al.36 (2025) | T2DM and MASLD, aged ≥ 40 years | Cohort 1, 11,275 | GLP-1 RA | Overall mortality | PS matching (1:1) | Overall mortality, 1.24 (0.90-1.72) |
| Liver-related mortality | Liver-related mortality, 0.45 (0.15-1.32) | |||||
| Cohort 2, 95,814 | TZD | Overall mortality, 0.73 (0.67-0.79) | ||||
| Liver-related mortality, 0.61 (0.45-0.84) | ||||||
| Chou et al.45 (2024) | T2DM | 22,154 | DPP-4i | Overall mortality | PS matching (1:1) with competing risk analysis | Overall mortality, 0.30 (0.26-0.41) |
| Cancer related mortality, 0.31 (0.19-0.41) | ||||||
| Chung et al.37 (2024) | T2DM and MASLD/MetALD | 13,208 | DPP-4i | Liver-related mortality | PS matching (1:6) | 0.63 (0.37-1.08) |
| Yen et al.42 (2025) | T2DM | Cohort 1, 218,927 | Non-SGLT-2i | Overall mortality | PS matching (1:1) | Overall mortality, 0.52 (0.51-0.54) |
| Liver-related mortality | Liver-related mortality, 0.64 (0.40-1.04) | |||||
| Cohort 2, 156,919 | DPP-4i | Overall mortality, 0.50 (0.48-0.52) | ||||
| Liver-related mortality, 0.53 (0.31-0.92) | ||||||
| Cohort 3, 147,461 | GLP-1 RA | Overall mortality, 0.60 (0.57-0.62) | ||||
| Liver-related mortality, 0.46 (0.26-0.82) | ||||||
| Cohort 4, 86,046 | Pioglitazone | Overall mortality, 0.60 (0.57-0.63) | ||||
| Liver-related mortality, 0.63 (0.31-1.30) | ||||||
| Cohort 5, 70,118 | SU | Overall mortality, 0.60 (0.56-0.64) | ||||
| Liver-related mortality, 0.80 (0.28-2.32) |
SGLT-2i, sodium-glucose cotransporter-2 inhibitor; aHR, adjusted hazard ratio; CI, confidence interval; T2DM, type 2 diabetes mellitus; TZD, thiazolidinediones; DPP-4i, dipeptidyl peptidase-4 inhibitor; GLP-1 RA, glucagon-like peptide-1 receptor agonist; PS, propensity score; MASLD/MetALD, metabolic dysfunction-associated steatotic liver disease; SU, sulfonylurea; SBP, spontaneous bacterial peritonitis; HRS, hepatorenal syndrome; HEP, hepatic encephalopathy; NAFLD, nonalcoholic fatty liver disease; FLD, fatty liver disease; HCC, hepatocellular carcinoma.
* The number of subjects receiving SGLT-2is was summarized and only post-propensity score-matching samples or post-weighting samples were considered except for Shen et al.40;
† aHR for non-SGLT-2i with SGLT-2i as the reference group. If non-SGLT-2i is used as the control group, the HR for SGLT-2i is 1.14 (95% CI, 0.80-1.61) in Cohort 1 and 0.43 (95% CI, 0.20-0.94) in Cohort 2.
| Study | Study population | Number of subjects* | Classes of comparator drug | Definition of outcomes | Statistical analysis | aHR (95% CI) |
|---|---|---|---|---|---|---|
| Cirrhosis | ||||||
| Yang et al.21 (2020) | T2DM and age ≥65 years | 69,027 | TZD | Overall cirrhosis | Standard mortality weighting using PS | 1.15 (0.89-1.50) |
| Na et al.51 (2022)† | T2DM diagnosed after age ≥30 years | 628,217 | Non-DPP-4i users | Overall cirrhosis | Time-dependent Cox model | 1.05 (0.99-1.10) |
| SU/Gs | 1.00 (0.95-1.06) | |||||
| TZD | 1.27 (1.11-1.45) | |||||
| Hepatic decompensation | ||||||
| Yen et al.20 (2021) | T2DM and cirrhosis | 2,828 | Non-DPP-4i users | A composite of esophageal varices with bleeding, ascites, HEP and jaundice | PS matching (1:1) | 1.35 (1.03-1.77) |
| Hepatocellular carcinoma | ||||||
| Hsu et al.52 (2021) | T2DM and chronic hepatitis C | 1,083 | Non-DPP-4i users | HCC | Multivariable Cox regression analysis | 0.59 (0.43-0.79) |
| Yen et al.20 (2021) | T2DM and cirrhosis | 2,828 | Non-DPP-4i users | HCC | PS matching (1:1) | 0.92 (0.63-1.32) |
| Na et al.51 (2022)† | T2DM diagnosed after age ≥30 years | 628,217 | Non-DPP-4i users | HCC | Time-dependent Cox model | 1.05 (1.01-1.10) |
| SU/Gs | 1.04 (0.99-1.08) | |||||
| TZD | 1.12 (1.01-1.24) | |||||
| Chen et al.53 (2023) | T2DM and chronic hepatitis B | 5,514 | Non-DPP-4i users | HCC | PS matching (1:1) | 0.53 (0.44-0.65) |
| Mortality outcomes | ||||||
| Yen et al.20 (2021) | T2DM and cirrhosis | 2,828 | Non-DPP-4i users | Overall mortality | PS matching (1:1) | 1.05 (0.87-1.26) |
| Cristiano et al.58 (2022) | T2DM | 40,558 | Non-DPP-4i users | Overall mortality | PS matching (1:1) | Odds ratio, 0.41 |
DPP-4i, dipeptidyl peptidase-4 inhibitor; aHR, adjusted hazard ratio; CI, confidence interval; T2DM, type 2 diabetes mellitus; TZD, thiazolidinediones; PS, propensity score; SU/Gs, sulfonylureas/glinides; HEP, hepatic encephalopathy; HCC, hepatocellular carcinoma.
* The number of subjects receiving DPP-4i was summarized and only post-propensity score-matching samples or post-weighting samples were considered except for Na et al.51 and Hsu et al.52 Na et al.51 used time-dependent Cox proportional hazard model and Hsu et al.52 used multivariable Cox regression analysis for adjusting covariates;
† Results are derived from the main analysis.
| Study | Study population | Number of subjects |
Classes of comparator drug | Definition of outcomes | Statistical analysis | aHR (95% CI) |
|---|---|---|---|---|---|---|
| Cirrhosis | ||||||
| Yang et al.21 (2020) | T2DM and age ≥65 years | Cohort 1, 10,728 | TZD | Overall cirrhosis | Standard mortality weighting using PS | 1.34 (0.82-2.20) |
| Cohort 2, 10,977 | DPP-4i | 1.08 (0.75-1.56) | ||||
| Engström et al.17 (2024) | T2DM | 91,479 | DPP-4i | Overall cirrhosis | Standard mortality weighting using PS | 0.85 (0.75-0.97) |
| Yang et al.26 (2024) | T2DM | 7,171 | Long-acting insulin | Overall cirrhosis | PS matching (1:1) with competing risk analysis | 0.59 (0.43-0.81) |
| Kanwal et al.28 (2024) | Cohort 1, T2DM and MASLD without cirrhosis | 14,606 | DPP-4i | Overall cirrhosis | PS matching (1:1) | 0.86 (0.75-0.98) |
| Hepatic decompensation | ||||||
| Simon et al.29 (2022) | T2DM and cirrhosis | Cohort 1, 1,431 | DPP-4i | Ascites, SBP, HRS, esophageal varix bleeding, or HEP | PS matching (1:1) with competing risk analysis | 0.68 (0.53-0.88) |
| Cohort 2, 1,246 | SU | 0.64 (0.48-0.84) | ||||
| Cohort 3, 845 | SGLT-2i | 0.89 (0.62-1.28) | ||||
| Wang et al.16 (2024) | T2DM | Cohort 1, 46,470 | Insulin | Ascites, SBP, HEP, or esophageal varix | PS matching (1:1) | 0.17 (0.15-0.19) |
| Cohort 2, 93,354 | SU | 0.70 (0.66-0.74) | ||||
| Cohort 3, 46,260 | Metformin | 0.91 (0.84-0.98) | ||||
| Cohort 4, 102,868 | DPP-4i | 0.68 (0.65-0.72) | ||||
| Cohort 5, 53,204 | SGLT-2i | 0.88 (0.82-0.95) | ||||
| Cohort 6, 62,618 | TZD | 0.82 (0.76-0.88) | ||||
| Yen et al.25 (2024) | T2DM | 31,156 | Non-GLP-1 RA users | Hepatic failure | PS matching (1:1) | 0.92 (0.66-1.30) |
| Yen et al.18 (2024) | T2DM and cirrhosis | 467 | Non-GLP-1 RA users | Ascites, HEP, esophageal varix bleeding, or jaundice | PS matching (1:1) with competing risk analysis | 0.70 (0.49-0.99) |
| Kanwal et al.28 (2024) | Cohort 1, T2DM and MASLD without cirrhosis | 14,606 | DPP-4i | Cirrhosis complication (ascites, HEP, HRS, esophageal varix bleeding, portal hypertension) | PS matching (1:1) | 0.75 (0.55-1.01) |
| Cohort 2, T2DM and MASLD cirrhosis | 1,452 | 1.14 (0.72-1.82) | ||||
| Elsaid et al.30 (2024) | T2DM and MASLD cirrhosis | 459 | Non-GLP-1 RA users | Ascites, HEP, HRS, SBP, esophageal varix bleeding | Overlap PS weighting | 0.74 (0.61-0.88) |
| Rashid et al.27 (2025) | T2DM, ALD and age ≥65 years | 317 | Non-GLP-1 RA users | HEP, ascites, esophageal bleeding, or jaundice | Overlap PS weighting | 0.56 (0.36-0.86) |
| Hepatocellular carcinoma | ||||||
| Engström et al.17 (2024) | T2DM | 91,479 | DPP-4i | HCC | Standard mortality weighting using PS | 1.05 (0.80-1.39) |
| Wang et al.16 (2024) | T2DM | Cohort 1, 46,470 | Insulin | HCC | PS matching (1:1) | 0.20 (0.13-0.31) |
| Cohort 2, 93,354 | SU | 0.78 (0.65-0.93) | ||||
| Cohort 3, 46,260 | Metformin | 0.99 (0.79-1.27) | ||||
| Cohort 4, 102,868 | DPP-4i | 0.89 (0.76-1.05) | ||||
| Cohort 5, 53,204 | SGLT-2i | 1.03 (0.82-1.29) | ||||
| Cohort 6, 62,618 | TZD | 1.15 (0.92-1.45) | ||||
| Yen et al.25 (2024) | T2DM | 31,156 | Non-GLP-1 RA users | HCC | PS matching (1:1) | 0.91 (0.59-1.40) |
| Yen et al.18 (2024) | T2DM and cirrhosis | 467 | Non-GLP-1 RA users | HCC | PS matching (1:1) with competing risk analysis | 1.02 (0.64-1.61) |
| Kanwal et al.28 (2024) | Cohort 1, T2DM and MASLD without cirrhosis | 14,606 | DPP-4i | HCC | PS matching (1:1) | 0.89 (0.40-2.01) |
| Cohort 2, T2DM and MASLD with cirrhosis | 1,452 | 1.41 (0.69-2.90) | ||||
| Elsaid et al.30 (2024) | T2DM and MASLD cirrhosis | 459 | Non-GLP-1 RA users | HCC | Overlap PS weighting | 0.37 (0.20-0.63) |
| Yang et al.26 (2024) | T2DM | 7,171 | Long-acting insulin | HCC | PS matching (1:1) with competing risk analysis | 0.47 (0.24-0.93) |
| Rashid et al.27 (2025) | T2DM, ALD and age ≥65 years | 317 | Non-GLP-1 RA users | HCC | Overlap PS weighting | 0.32 (0.06-1.63) |
| Mortality outcomes | ||||||
| Kanwal et al.28 (2024) | Cohort 1, T2DM and MASLD without cirrhosis | 14,606 | DPP-4i | Overall mortality | PS matching (1:1) | 0.89 (0.81-0.98) |
| Cohort 2, T2DM and MASLD cirrhosis | 1,452 | 0.88 (0.73-1.06) | ||||
| Yen et al.25 (2024) | T2DM | 31,156 | Non-GLP-1 RA users | Overall mortality | PS matching (1:1) | Overall death, 0.48 (0.43-0.53) |
| CV mortality | CV death, 0.57 (0.45-0.72) | |||||
| Liver-related mortality | Liver-related death, 0.32 (0.13-0.75) | |||||
| Yen et al.18 (2024) | T2DM and cirrhosis | 467 | Non-GLP-1 RA users | Overall mortality | PS matching (1:1) with competing risk analysis | 0.47 (0.32-0.69) |
| Krishnan et al.31 (2024) | T2DM and NAFLD | 38,804 | SGLT-2i | Overall mortality | PS matching (1:1) | 1.06 (0.97-1.15) |
| Study | Study population | Number of subjects |
Classes of comparator drug | Definition of outcomes | Statistical analysis | aHR (95% CI) |
|---|---|---|---|---|---|---|
| Cirrhosis | ||||||
| Yang et al.21 (2020) | T2DM and age ≥65 years | Cohort 1, 7,849 | TZD | Overall cirrhosis | Standard mortality weighting using PS | 1.16 (0.44-3.08) |
| Cohort 2, 5,371 | DPP-4i | 0.43 (0.13-1.40) | ||||
| Cohort 3, 8,579 | GLP-1 RA | 0.56 (0.25-1.26) | ||||
| Bea et al.46 (2023) | T2DM | 114,377 | DPP-4i | Compensated cirrhosis | PS matching (1:1) | 0.65 (0.52-0.82) |
| Mao et al.38 (2024) | T2DM and MASLD, without cirrhosis | 48,446 | Non-SGLT-2i users | Overall cirrhosis | PS matching (1:1) | 0.80 (0.76-0.84) |
| Kawaguchi et al.39 (2024) | T2DM and MASLD | 4,204 | DPP-4i | Overall cirrhosis | PS matching (1:1) | 1.20 (0.32-4.48) |
| Shen et al.40 (2024) | T2DM and MASLD | 22,100 | DPP-4i | Overall cirrhosis | Overlap PS weighting | 0.77 (0.55-1.06) |
| Chung et al.37 (2024) | T2DM and MASLD/MetALD | 13,208 | DPP-4i | Overall cirrhosis | PS matching (1:6) | 0.86 (0.78-0.95) |
| Yen et al.42 (2025) | T2DM | Cohort 1, 218,927 | Non-SGLT-2i | Overall cirrhosis | PS matching (1:1) | 0.78 (0.70-0.87) |
| Cohort 2, 156,919 | DPP-4i | 0.69 (0.61-0.79) | ||||
| Cohort 3, 147,461 | GLP-1 RA | 0.82 (0.72-0.93) | ||||
| Cohort 4, 86,046 | Pioglitazone | 0.70 (0.59-0.82) | ||||
| Cohort 5, 70,118 | SU | 0.72 (0.59-0.87) | ||||
| Hepatic decompensation | ||||||
| Saffo et al.43 (2021) | T2DM and cirrhosis | 423 | DPP-4i | Ascites | PS matching (1:1) | 0.68 (0.37-1.25) |
| Bea et al.46 (2023) | T2DM | 114,377 | DPP-4i | Ascites, SBP, HRS, esophageal varices bleeding and HEP | PS matching (1:1) | 0.56 (0.44-0.71) |
| Bea et al.36 (2025) | T2DM and MASLD, aged ≥40 years | Cohort 1, 11,275 | GLP-1 RA | Ascites, esophageal varices with bleeding, hepatic failure and liver transplant | PS matching (1:1) | 0.93 (0.76-1.14) |
| Cohort 2, 95,814 | TZD | 0.77 (0.72-0.82) | ||||
| Kawaguchi et al.39 (2024) | T2DM and MASLD | 4,204 | DPP-4i | Esophageal varix, liver failure | PS matching (1:1) | Esophageal varix, 0.12 (0.01-0.95) |
| Liver failure, 0.28 (0.06-1.33) | ||||||
| Shen et al.40 (2024) | T2DM and MASLD | 22,100 | DPP-4i | Esophageal varix bleeding, ascites, HEP, HRS, and portal hypertension | Overlap PS weighting | 0.77 (0.53-1.09) |
| Chung et al.37 (2024) | T2DM and MASLD/MetALD | 13,208 | DPP-4i | Ascites, variceal bleeding, and HEP | PS matching (1:6) | 0.88 (0.79-0.98) |
| Yen et al.42 (2025) | T2DM | Cohort 1, 218,927 | Non-SGLT-2i | Decompensated cirrhosis | PS matching (1:1) | Decompensated cirrhosis, 0.79 (0.70-0.89) |
| Liver failure | Liver failure, 0.78 (0.68-0.89) | |||||
| Cohort 2, 156,919 | DPP-4i | Decompensated cirrhosis, 0.70 (0.61-0.81) | ||||
| Liver failure, 0.68 (0.58-0.79) | ||||||
| Cohort 3, 147,461 | GLP-1 RA | Decompensated cirrhosis, 0.80 (0.69-0.92) | ||||
| Liver failure, 0.78 (0.67-0.91) | ||||||
| Cohort 4, 86,046 | Pioglitazone | Decompensated cirrhosis, 0.73 (0.61-0.88) | ||||
| Liver failure, 0.72 (0.59-0.88) | ||||||
| Cohort 5, 70,118 | SU | Decompensated cirrhosis, 0.78 (0.63-0.96) | ||||
| Liver failure, 0.71 (0.56-0.89) | ||||||
| Hepatocellular carcinoma | ||||||
| Bea et al.35 (2023) | T2DM | 74,830 | DPP-4i | HCC | PS fine stratification weights | 0.81 (0.67-0.98) |
| Lee et al.41 (2023) | T2DM and chronic hepatitis B | 1,000 | Non-SGLT-2i users | HCC | PS matching (1:1) | 0.54 (0.33-0.88) |
| Cho et al.19 (2024) | Cohort 1, T2DM and NAFLD | 53,986 | Non-SGLT-2i users | HCC | PS matching (1:1) | 0.87 (0.61-1.24) |
| Cohort 2, T2DM, FLD, and chronic viral hepatitis | 1,399 | 2.22 (1.01-4.87) |
||||
| Mao et al.38 (2024) | T2DM and MASLD | 53,628 | Non-SGLT-2i users | HCC | PS matching (1:1) | 0.76 (0.62-0.93) |
| Chou et al.45 (2024) | T2DM | 22,154 | DPP-4i | HCC | PS matching (1:1) with competing risk analysis | 0.42 (0.28-0.79) |
| Kawaguchi et al.39 (2024) | T2DM and MASLD | 4,204 | DPP-4i | HCC | PS matching (1:1) | 0.32 (0.03-3.04) |
| Shen et al.40 (2024) | T2DM and MASLD | 22,100 | DPP-4i | HCC | Overlap PS weighting | 0.99 (0.47-1.83) |
| Chung et al.37 (2024) | T2DM and MASLD/MetALD | 13,208 | DPP-4i | HCC | PS matching (1:6) | 0.68 (0.48-0.95) |
| Bea et al.36 (2025) | T2DM and MASLD, aged ≥ 40 years | Cohort 1, 11,275 | GLP-1 RA | HCC | PS matching (1:1) | 0.75 (0.43-1.43) |
| Cohort 2, 95,814 | TZD | 0.91 (0.76-1.09) | ||||
| Mortality outcomes | ||||||
| Saffo et al.43 (2021) | T2DM and cirrhosis | 423 | DPP-4i | Overall mortality | PS matching (1:1) | 0.33 (0.11-0.99) |
| Bea et al.46 (2023) | T2DM | 114,377 | DPP-4i | Overall mortality | PS matching (1:1) | Overall mortality, 0.63 (0.56-0.72) |
| Liver-related mortality | Liver-related mortality, 0.64 (0.37-1.11) | |||||
| Bea et al.36 (2025) | T2DM and MASLD, aged ≥ 40 years | Cohort 1, 11,275 | GLP-1 RA | Overall mortality | PS matching (1:1) | Overall mortality, 1.24 (0.90-1.72) |
| Liver-related mortality | Liver-related mortality, 0.45 (0.15-1.32) | |||||
| Cohort 2, 95,814 | TZD | Overall mortality, 0.73 (0.67-0.79) | ||||
| Liver-related mortality, 0.61 (0.45-0.84) | ||||||
| Chou et al.45 (2024) | T2DM | 22,154 | DPP-4i | Overall mortality | PS matching (1:1) with competing risk analysis | Overall mortality, 0.30 (0.26-0.41) |
| Cancer related mortality, 0.31 (0.19-0.41) | ||||||
| Chung et al.37 (2024) | T2DM and MASLD/MetALD | 13,208 | DPP-4i | Liver-related mortality | PS matching (1:6) | 0.63 (0.37-1.08) |
| Yen et al.42 (2025) | T2DM | Cohort 1, 218,927 | Non-SGLT-2i | Overall mortality | PS matching (1:1) | Overall mortality, 0.52 (0.51-0.54) |
| Liver-related mortality | Liver-related mortality, 0.64 (0.40-1.04) | |||||
| Cohort 2, 156,919 | DPP-4i | Overall mortality, 0.50 (0.48-0.52) | ||||
| Liver-related mortality, 0.53 (0.31-0.92) | ||||||
| Cohort 3, 147,461 | GLP-1 RA | Overall mortality, 0.60 (0.57-0.62) | ||||
| Liver-related mortality, 0.46 (0.26-0.82) | ||||||
| Cohort 4, 86,046 | Pioglitazone | Overall mortality, 0.60 (0.57-0.63) | ||||
| Liver-related mortality, 0.63 (0.31-1.30) | ||||||
| Cohort 5, 70,118 | SU | Overall mortality, 0.60 (0.56-0.64) | ||||
| Liver-related mortality, 0.80 (0.28-2.32) |
| Study | Study population | Number of subjects |
Classes of comparator drug | Definition of outcomes | Statistical analysis | aHR (95% CI) |
|---|---|---|---|---|---|---|
| Cirrhosis | ||||||
| Yang et al.21 (2020) | T2DM and age ≥65 years | 69,027 | TZD | Overall cirrhosis | Standard mortality weighting using PS | 1.15 (0.89-1.50) |
| Na et al.51 (2022) |
T2DM diagnosed after age ≥30 years | 628,217 | Non-DPP-4i users | Overall cirrhosis | Time-dependent Cox model | 1.05 (0.99-1.10) |
| SU/Gs | 1.00 (0.95-1.06) | |||||
| TZD | 1.27 (1.11-1.45) | |||||
| Hepatic decompensation | ||||||
| Yen et al.20 (2021) | T2DM and cirrhosis | 2,828 | Non-DPP-4i users | A composite of esophageal varices with bleeding, ascites, HEP and jaundice | PS matching (1:1) | 1.35 (1.03-1.77) |
| Hepatocellular carcinoma | ||||||
| Hsu et al.52 (2021) | T2DM and chronic hepatitis C | 1,083 | Non-DPP-4i users | HCC | Multivariable Cox regression analysis | 0.59 (0.43-0.79) |
| Yen et al.20 (2021) | T2DM and cirrhosis | 2,828 | Non-DPP-4i users | HCC | PS matching (1:1) | 0.92 (0.63-1.32) |
| Na et al.51 (2022) |
T2DM diagnosed after age ≥30 years | 628,217 | Non-DPP-4i users | HCC | Time-dependent Cox model | 1.05 (1.01-1.10) |
| SU/Gs | 1.04 (0.99-1.08) | |||||
| TZD | 1.12 (1.01-1.24) | |||||
| Chen et al.53 (2023) | T2DM and chronic hepatitis B | 5,514 | Non-DPP-4i users | HCC | PS matching (1:1) | 0.53 (0.44-0.65) |
| Mortality outcomes | ||||||
| Yen et al.20 (2021) | T2DM and cirrhosis | 2,828 | Non-DPP-4i users | Overall mortality | PS matching (1:1) | 1.05 (0.87-1.26) |
| Cristiano et al.58 (2022) | T2DM | 40,558 | Non-DPP-4i users | Overall mortality | PS matching (1:1) | Odds ratio, 0.41 |
GLP-1 RA, glucagon-like peptide-1 receptor agonist; aHR, adjusted hazard ratio; CI, confidence interval; T2DM, type 2 diabetes mellitus; TZD, thiazolidinediones; DPP-4i, dipeptidyl peptidase-4 inhibitor; PS, propensity score; SU, sulfonylurea; SGLT-2i, sodium-glucose cotransporter-2 inhibitor; SBP, spontaneous bacterial peritonitis; HRS, hepatorenal syndrome; HEP, hepatic encephalopathy; MASLD, metabolic dysfunction-associated steatotic liver disease; ALD, alcohol-associated liver disease; HCC, hepatocellular carcinoma; CV, cardiovascular; NAFLD, nonalcoholic fatty liver disease. The number of subjects receiving GLP-1 RAs was summarized and only post-propensity score-matching samples or post-weighting samples were considered except for Engström et al. Subdistribution HR.
SGLT-2i, sodium-glucose cotransporter-2 inhibitor; aHR, adjusted hazard ratio; CI, confidence interval; T2DM, type 2 diabetes mellitus; TZD, thiazolidinediones; DPP-4i, dipeptidyl peptidase-4 inhibitor; GLP-1 RA, glucagon-like peptide-1 receptor agonist; PS, propensity score; MASLD/MetALD, metabolic dysfunction-associated steatotic liver disease; SU, sulfonylurea; SBP, spontaneous bacterial peritonitis; HRS, hepatorenal syndrome; HEP, hepatic encephalopathy; NAFLD, nonalcoholic fatty liver disease; FLD, fatty liver disease; HCC, hepatocellular carcinoma. The number of subjects receiving SGLT-2is was summarized and only post-propensity score-matching samples or post-weighting samples were considered except for Shen et al. aHR for non-SGLT-2i with SGLT-2i as the reference group. If non-SGLT-2i is used as the control group, the HR for SGLT-2i is 1.14 (95% CI, 0.80-1.61) in Cohort 1 and 0.43 (95% CI, 0.20-0.94) in Cohort 2.
DPP-4i, dipeptidyl peptidase-4 inhibitor; aHR, adjusted hazard ratio; CI, confidence interval; T2DM, type 2 diabetes mellitus; TZD, thiazolidinediones; PS, propensity score; SU/Gs, sulfonylureas/glinides; HEP, hepatic encephalopathy; HCC, hepatocellular carcinoma. The number of subjects receiving DPP-4i was summarized and only post-propensity score-matching samples or post-weighting samples were considered except for Na et al.51 and Hsu et al. Results are derived from the main analysis.