The DOI matches its Crossref record; 55 of the 57 references it cites were found in a registry or an index.
Nonalcoholic fatty liver disease (NAFLD) and associated mortality in individuals with type 2 diabetes, pre-diabetes, metabolically unhealthy, and metabolically healthy individuals in the United States
Abstract
Background The prevalence of nonalcoholic fatty liver disease (NAFLD) is high among subjects with type 2 diabetes (T2D). However, the prevalence and outcomes of NAFLD among individuals with pre-diabetes (PreD) and metabolically healthy and metabolically unhealthy individuals without T2D are not known. Our aim was to assess prevalence and mortality of NAFLD among these four groups.Methods The Third National Health and Nutrition Examination Survey (NHANES) III (1988-1994) with mortality data (follow up to 2019) via linkage to the National Death Index was utilized. NAFLD was defined by ultrasound and absence of other liver diseases and excess alcohol use. Pre-D was defined as fasting plasma glucose values of 100-125 mg/dL and/or HbA1c level between 5.7 %-6.4 % in the absence of established diagnosis of T2D. Metabolically healthy (MH) was defined if all of the following criteria were absent: waist circumference of ≥102 cm (men) or ≥ 88 cm (women) or BMI of ≥30; blood pressure (BP) ≥ 130/85 mmHg or using BP-lowering medication; triglyceride level ≥ 150 mg/dL or using lipid-lowering medication; lipoprotein cholesterol level of <40 mg/dL (men) or < 50 mg/dL (women); homeostasis model assessment of insulin resistance (HOMA-IR) score ≥ 2.5; C-reactive protein (CRP) level of >2 mg/L; Pre-D and T2D. Metabolically unhealthy (MU) individuals were defined as the presence of any component of metabolic syndrome but not having Pre-D and T2D. Competing risk analyses of cause-specific mortality were performed.Findings 11,231 adults (20-74y) were included: mean age 43.4 years; 43.9 % male; 75.4 % white, 10.8 % Black, and 5.4 % Mexican American, 18.9 % NAFLD, 7.8 % T2D; 24.7 % PreD; 44.3 % MU; and 23.3 % in MH individuals. In multivariable adjusted logistic model, as compared to MH individuals, the highest risk of having NAFLD were in T2D individuals (Odd Ratio [OR] = 10.88 [95 % confidence interval: 7.33-16.16]), followed by Pre-D (OR = 4.19 [3.02-5.81]), and MU (OR = 3.36 [2.39-4.71]). During a median follow up of 26.7 years (21.2-28.7 years), 3982 died. NAFLD subjects had significantly higher age-adjusted mortality than non-NAFLD (32.7 % vs. 28.7 %, p < .001). Among subjects with NAFLD, the highest age-standardized cumulative mortality was observed among those with T2D (41.3 %), followed by with Pre-D (35.1 %), MU subjects (30.0 %), and MH subjects (21.9 %) (pairwise p-values<.04 vs. MH). Multivariable adjusted cox models showed that NAFLD with T2D had a higher risk of all-causes and cardiac-specific deaths (Hazard Ratio [HR] = 4.71 [2.23-9.96] and HR = 20.01 [3.00-133.61]), followed by NAFLD with Pre-D (HR = 2.91 [1.41-6.02] and HR = 10.35 [1.57-68.08]) and metabolically unhealthy NAFLD (HR = 2.59 [1.26-5.33] and HR = 6.74 [0.99-46.03]) compared to metabolically healthy NAFLD. In addition to older age, independent predictors of mortality among NAFLD with T2D included high CRP, CVD, CKD, high FIB-4, and active smoking. Similarly, among NAFLD with PreD, high CRP, CKD, CVD, hypertension, and active smoking were associated with mortality. Finally, CVD and active smoking were predictors of mortality among metabolically unhealthy NAFLD, and active smoking was the only mortality risk among metabolically healthy NAFLD subjects.Interpretation Metabolic abnormality impacts both prevalence and outcomes of subjects with NAFLD.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“and the risk increases with the number of cardiometabolic risk factors. 15”
From EASL-EASD-EASO Clinical Practice Guidelines on the management of metabolic dysfunction-associated steatotic liver disease (MASLD). (2024) · cites this paper as [15]
In the citing paper
“but the risk is much higher in the presence of T2D (42-65% have steatosis). 15,16”
From EASL-EASD-EASO Clinical Practice Guidelines on the management of metabolic dysfunction-associated steatotic liver disease (MASLD). (2024) · cites this paper as [15]
In the citing paper
“It has been estimated that approximately 10 -30% of persons with isolated steatosis progress to steatohepatitis and advanced liver disease”
From EASL-EASD-EASO Clinical Practice Guidelines on the management of metabolic dysfunction-associated steatotic liver disease (MASLD). (2024) · cites this paper as [15]
Citations
Cites
Younossi, Z. M., Koenig, A. B., Abdelatif, D., Fazel, Y., Henry, L., & Wymer, M. (2016) · Hepatology · doi:10.1002/hep.28431 · Cited by 10,781
Chalasani, N., Younossi, Z., Lavine, J. E., Charlton, M., Cusi, K., Rinella, M., Harrison, S. A., Brunt, E. M., & Sanyal, A. J. (2018) · Hepatology · doi:10.1002/hep.29367 · Cited by 7,239
Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention
Younossi, Z., Anstee, Q. M., Marietti, M., Hardy, T., Henry, L., Eslam, M., George, J., & Bugianesi, E. (2018) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2017.109 · Cited by 5,249
Self-citationEASL–EASD–EASO Clinical Practice Guidelines for the management of non-alcoholic fatty liver disease
(2016) · Journal of Hepatology · doi:10.1016/j.jhep.2015.11.004 · Cited by 4,836
Younossi, Z. M., Golabi, P., Paik, J. M., Henry, A., Van Dongen, C., & Henry, L. (2023) · Hepatology · doi:10.1097/hep.0000000000000004 · Cited by 3,383
Byrne, C. D., & Targher, G. (2015) · Journal of Hepatology · doi:10.1016/j.jhep.2014.12.012 · Cited by 3,162
Ekstedt, M., Hagström, H., Nasr, P., Fredrikson, M., Stål, P., Kechagias, S., & Hultcrantz, R. (2015) · Hepatology · doi:10.1002/hep.27368 · Cited by 2,287
The prevalence and incidence of NAFLD worldwide: a systematic review and meta-analysis
Riazi, K., Azhari, H., Charette, J. H., Underwood, F. E., King, J. A., Afshar, E. E., Swain, M. G., Congly, S. E., Kaplan, G. G., & Shaheen, A.-A. (2022) · The Lancet Gastroenterology & Hepatology · doi:10.1016/s2468-1253(22)00165-0 · Cited by 2,246
Younossi, Z. M., Golabi, P., de Avila, L., Paik, J. M., Srishord, M., Fukui, N., Qiu, Y., Burns, L., Afendy, A., & Nader, F. (2019) · Journal of Hepatology · doi:10.1016/j.jhep.2019.06.021 · Cited by 2,235
Dulai, P. S., Singh, S., Patel, J., Soni, M., Prokop, L. J., Younossi, Z., Sebastiani, G., Ekstedt, M., Hagstrom, H., Nasr, P., et al. (2017) · Hepatology · doi:10.1002/hep.29085 · Cited by 1,965
Self-citation
Cited by
Sorted by citations
Tacke, F., Horn, P., Wai-Sun Wong, V., Ratziu, V., Bugianesi, E., Francque, S., Zelber-Sagi, S., Valenti, L., Roden, M., Schick, F., et al. (2024) · Journal of Hepatology · doi:10.1016/j.jhep.2024.04.031 · Cited by 2,210
Epidemiology of metabolic dysfunction-associated steatotic liver disease
Younossi, Z. M., Kalligeros, M., & Henry, L. (2025) · Clinical and Molecular Hepatology · doi:10.3350/cmh.2024.0431 · Cited by 960
(2024) · Obesity Facts · doi:10.1159/000539371 · Cited by 545
Younossi, Z. M., Golabi, P., Price, J. K., Owrangi, S., Gundu-Rao, N., Satchi, R., & Paik, J. M. (2024) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2024.03.006 · Cited by 416
Cusi, K. J., Abdelmalek, M. F., Apovian, C. M., Balapattabi, K., Bannuru, R. R., Barb, D., Bardsley, J. K., Beverly, E. A., Corbin, K. D., ElSayed, N. A., et al. (2025) · Diabetes Care · doi:10.2337/dci24-0094 · Cited by 417
Kokkorakis, M., Boutari, C., Hill, M. A., Kotsis, V., Loomba, R., Sanyal, A. J., & Mantzoros, C. S. (2024) · Metabolism · doi:10.1016/j.metabol.2024.155835 · Cited by 155
Abushamat, L. A., Shah, P. A., Eckel, R. H., Harrison, S. A., & Barb, D. (2024) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2024.01.032 · Cited by 103
Steatotic Liver Disease: Pathophysiology and Emerging Pharmacotherapies
Kokkorakis, M., Muzurović, E. M., Volčanšek, Š., Chakhtoura, M., Hill, M. A., Mikhailidis, D. P., & Mantzoros, C. S. (2024) · Pharmacological Reviews · doi:10.1124/pharmrev.123.001087 · Cited by 79
Ndumele, C. E., Rodríguez, F., Dixon, D. L., Khan, S. S., Mukherjee, D., Bajaj, M. S., Bangalore, S., Bozkurt, B., Breathett, K. K., Clarke, S. L., et al. (2026) · Circulation · doi:10.1161/cir.0000000000001453 · Cited by 101
Ndumele, C. E., Rodriguez, F., Dixon, D. L., Khan, S. S., Mukherjee, D., Bajaj, M., Bangalore, S., Bozkurt, B., Breathett, K., Clarke, S. L., et al. (2026) · JACC · doi:10.1016/j.jacc.2026.03.056 · Cited by 90
Bórquez, J. C., Díaz-Castro, F., La Fuente, F. P.-D., Espinoza, K., Figueroa, A. M., Martínez-Ruíz, I., Hernández, V., López-Soldado, I., Ventura, R., Domingo, J. C., et al. (2024) · Metabolism · doi:10.1016/j.metabol.2023.155765 · Cited by 54
Pharmaco‐Economic Assessment of Screening Strategies for High‐Risk MASLD in Primary Care
Younossi, Z. M., Paik, J. M., Henry, L. L., Stepanova, M., & Nader, F. (2024) · Liver International · doi:10.1111/liv.16119 · Cited by 45
Golabi, P., Owrangi, S., & Younossi, Z. M. (2024) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.17833 · Cited by 45
Koliaki, C. C., Dalamaga, Μ., Kakounis, K., & Liatis, S. (2025) · Current Obesity Reports · doi:10.1007/s13679-025-00637-9 · Cited by 50
Zhu, H., Zhao, S., Zhao, S., Yang, S., Jiang, K., Li, S., Kang, Y., Yang, Z., Shen, J., Shen, S., et al. (2024) · Metabolism · doi:10.1016/j.metabol.2024.155914 · Cited by 43
Impact of PNPLA3 I148M on Clinical Outcomes in Patients With MASLD
Petta, S., Armandi, A., & Bugianesi, E. (2024) · Liver International · doi:10.1111/liv.16133 · Cited by 38
MASLD: Prevalence, Mechanisms, and Sex-Based Therapies in Postmenopausal Women
Milani, I., Chinucci, M., Leonetti, F., & Capoccia, D. (2025) · Biomedicines · doi:10.3390/biomedicines13040855 · Cited by 38
“Research also suggests that prediabetes and T2D significantly increase all-cause mortality, but this effect was only observed in women [97].”
Yang, Z., Li, A., Jiang, Y., Maidaiti, X., Wu, Y., & Jin, Y. (2024) · Scientific Reports · doi:10.1038/s41598-024-72795-0 · Cited by 44
Key takeaways from the updated multidisciplinary European MASLD guidelines
Horn, P., & Tacke, F. (2025) · eGastroenterology · doi:10.1136/egastro-2025-100196 · Cited by 40
Valenzuela‐Vallejo, L., Chrysafi, P., Kouvari, M., Guatibonza-García, V., Mylonakis, S. C., Katsarou, A., Verrastro, O., Markakis, G., Eslam, M., Papatheodoridis, G., et al. (2023) · Metabolism · doi:10.1016/j.metabol.2023.155694 · Cited by 36
Association of NAFLD/NASH, and MAFLD/MASLD with chronic kidney disease: an updated narrative review
Lonardo, A. (2024) · Metabolism and Target Organ Damage · doi:10.20517/mtod.2024.07 · Cited by 32
Epidemiology of NAFLD – Focus on diabetes
Younossi, Z. M., & Henry, L. L. (2024) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2024.111648 · Cited by 26
The Role of Epigenetic Control of Mitochondrial (Dys)Function in MASLD Onset and Progression
Caputo, V., Tarantino, G., Santini, S. J., Fracassi, G., & Balsano, C. (2023) · Nutrients · doi:10.3390/nu15224757 · Cited by 22
Liu, J., Gao, L., Chen, J., Li, Z., Zhao, W., Qin, S., Wen, X., & Zhang, D. (2025) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2025.101049 · Cited by 22
Li, M., Chen, W., Deng, Y., & Xie, W. (2024) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2024.05.018 · Cited by 22
Sharma, A. R., Leiva, E. G., Kalavalapalli, S., Lomonaco, R., MARANGI, S. A., SAENZ, E. V., Gonzalez, M. A., Rocha, A. O., CUERVO-PARDO, N., Rosenberg, J. T., et al. (2024) · Obesity · doi:10.1002/oby.24130 · Cited by 21
Rabbani, N., & Thornalley, P. J. (2025) · Clinical Science · doi:10.1042/cs20257727 · Cited by 16
Is liver steatosis a disease or the emperor’s new clothes?
Krag, A. A., Tacke, F., Israelsen, M. E., & Younossi, Z. M. (2026) · Journal of Hepatology · doi:10.1016/j.jhep.2025.12.026 · Cited by 16
Oh, J. H., & Jun, D. W. (2024) · Clinical and Molecular Hepatology · doi:10.3350/cmh.2024.0140 · Cited by 15
Huang, J., Zhang, Y., Li, J., Li, H., Wei, Y., & Sun, M. (2023) · Medicine · doi:10.1097/md.0000000000036300 · Cited by 13
Yin, G., Liang, H., Cheng, Y., Chen, S., Zhang, X., Meng, D., Yu, W., Liu, H., Song, C., & Zhang, F. (2024) · Chemico-Biological Interactions · doi:10.1016/j.cbi.2024.111306 · Cited by 13
Malandris, K., Korakas, E., Sarakapina, A., Kalopitas, G., Iatridi, F., Liakos, A., Bekiari, E., Γιουλεμέ, Ό., Tzatzagou, G., Karagiannis, T., et al. (2024) · Digestive Diseases and Sciences · doi:10.1007/s10620-024-08799-7 · Cited by 13
Harnessing nutrition to combat MASLD: a comprehensive guide to food-based therapeutic strategies
Reytor-González, C., Simancas‐Racines, D., Campuzano-Donoso, M., Jimenez, J. C., Román-Galeano, N. M., Sarno, G., & Frías-Toral, E. (2025) · Food and Agricultural Immunology · doi:10.1080/09540105.2025.2496499 · Cited by 16
Tel, B. M. A., Khalid, A., & Aktaş, G. (2025) · World Journal of Diabetes · doi:10.4239/wjd.v16.i12.113237 · Cited by 11
Association of fatty liver index with sudden cardiac arrest in young adults
Jeong, J. H., Kim, Y. G., Han, K.-D., Roh, S., Lee, H. S., Choi, Y. Y., Yim, S. Y., Shim, J., Kim, Y., & Choi, J. (2024) · Metabolism · doi:10.1016/j.metabol.2024.155981 · Cited by 12
Li, B., Liu, Y., Ma, X., & Guo, X. (2025) · Scientific Reports · doi:10.1038/s41598-025-90773-y · Cited by 11
The Liver in Diabetes and Metabolic Syndrome
Mahmoud, M. C., & Abdelmalek, M. F. (2025) · Clinics in Liver Disease · doi:10.1016/j.cld.2025.04.003 · Cited by 14
Detecting altered hepatic lipid oxidation by MRI in an animal model of MASLD
McLeod, M., Chang, M. C., Rushin, A., Ragavan, M., Mahar, R., Sharma, G. K., Badar, A., Giacalone, A., Glanz, M. E., Malut, V. R., et al. (2024) · Cell Reports Medicine · doi:10.1016/j.xcrm.2024.101714 · Cited by 12
Predictors of liver fibrosis progression in cohort of type 2 diabetes mellitus patients with MASLD
Alfadda, A. A., Alqutub, A. N., Sherbeeni, S. M., Aldosary, A. S., Alqahtani, S. A., Isnani, A. C., Gul, R., Khaleel, M. S., Al-Qasim, S., & Almaghamsi, A. M. (2024) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2024.108910 · Cited by 11
Yi, G., Sun, W., Zhang, X., Wang, Z., Yu, X., Zhu, C., & Lin, K. (2025) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2025.07.053 · Cited by 10
Bian, H., Ma, J., Qu, S., Qian, J., Hao, C., Liu, C., & Gao, X. (2026) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-025-10013-6 · Cited by 9
Rising burden of MASLD and CKM syndrome in Asia: A decade of trends and future projections
Duo, T., Wen, Y., Bian, Y., Wang, Y., Zhang, X., Ju, J., Lu, Y., Wang, Z., Wang, J., & Yang, B. (2026) · Metabolism · doi:10.1016/j.metabol.2026.156549 · Cited by 10
Liang, J., Liang, Y., Chen, L., Cai, M., Li, S., He, L., Xu, Y., Tan, Y., Li, L., Wu, X., et al. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1675899 · Cited by 8
Stefan, N., Hartleb, M., Popovic, B., & Varona, R. (2024) · Trials · doi:10.1186/s13063-024-08208-4 · Cited by 7
Kim, J. H., Lee, Y., Nam, C. M., Kwon, Y., & Lee, J. (2025) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2025.103965 · Cited by 8
Tan, Y., Qu, W., Zhao, J., Ma, Y., Zhang, Q., Gao, H., Zhen, Q., Wang, Y., Peng, Y., Liu, F., et al. (2025) · Diabetes & Metabolism · doi:10.1016/j.diabet.2025.101680 · Cited by 7
Gao, K., Yin, Z., Zhang, C., Dong, Z., Wang, R., Chen, Q., Liu, X., Jiang, C., Wang, Y., Guo, B., et al. (2026) · Cell & Bioscience · doi:10.1186/s13578-025-01525-4 · Cited by 8
Kechagia, I., Barkas, F., Liberopoulos, E. N., Chrysohoou, C. A., Sfikakis, P. P., Tsioufis, C., Pitsavos, C., & Panagiotakos, D. B. (2024) · Lipids in Health and Disease · doi:10.1186/s12944-024-02383-8 · Cited by 6
Lyu, Y. S., Park, M., Kim, H. K., Park, S., Park, J. Y., Hong, A. R., Yoon, J. H., Jeong, S., Yoon, Y., Kim, J. H., et al. (2025) · Cardiovascular Diabetology · doi:10.1186/s12933-025-02793-7 · Cited by 6
Wu, W., & Hou, Z. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1593245 · Cited by 7
Sedhom, S. S., Wakeel, L. M. E., Barakat, E., Shousha, H. I., Shamkh, M. A., Salama, S. H., Zaky, D. Z., & Kholy, A. A. E. (2025) · Therapeutic Advances in Chronic Disease · doi:10.1177/20406223251358659 · Cited by 6
Han, K., Wang, X., Niu, X., Li, T., & Linghu, E. (2024) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2024.11.002 · Cited by 6
Xu, T., & Zhu, W. (2025) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2025.112418 · Cited by 7
Heyens, L. J. M., Innocenti, F., Steenkiste, C. V., Struyve, M., Francque, S., Koek, G. H., & Robaeys, G. (2025) · Biomedicines · doi:10.3390/biomedicines13112821 · Cited by 7
Younossi, Z. M., Estep, J. M., Felix, S. C., Lam, B. P., Younossi, Z., Racila, A., & Stepanova, M. (2024) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2024.111960 · Cited by 5
Mauricio, D., Escalada, J., Pérez, A., Romero‐Gómez, M., Cusi, K. J., Younoussi, Z. M., & Lazarus, J. V. (2024) · Endocrinología Diabetes y Nutrición · doi:10.1016/j.endinu.2024.01.006 · Cited by 4
Arshad, F., Chinnappan, R., Broering, D. C., Raptis, D. A., Mir, T. A., Khan, M. I., & Yaqinuddin, A. (2026) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2026.1748835 · Cited by 4
Sex-Specific Cardiometabolic Profiles and Severity of Liver Fibrosis
Albhaisi, S. A. M., Kim, S. S., Terrault, N. A., & Dodge, J. L. (2026) · JAMA Network Open · doi:10.1001/jamanetworkopen.2026.0863 · Cited by 6
Cumulative Effect of Metabolic Factors on Hepatic Steatosis
Egresi, A., Kozma, B., Karácsony, M., Rónaszéki, A., Werling, K., Csongrády, B., Novák, P. K., Folhoffer, A., Szíjártó, A., & Hagymási, K. (2025) · Diagnostics · doi:10.3390/diagnostics15182406 · Cited by 4
7. Management of metabolic dysfunction-associated steatotic liver disease (MASLD) in type 2 diabetes
Colagiuri, S., & Ceriello, A. (2025) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2025.112151 · Cited by 3
Multifaceted Human Antigen R (HuR): A Key Player in Liver Metabolism and MASLD
Eppler, N., Jones, E., Ahamed, F., & Zhang, Y. (2025) · Livers · doi:10.3390/livers5030033 · Cited by 3
Lean Metabolic Dysfunction‐Associated Steatotic Liver Disease: A Wolf in Sheep's Clothing
Fang, X., Xu, C., Lu, J., Zhuang, R., Xu, X. X., & Wei, X. (2025) · Cell Biochemistry and Function · doi:10.1002/cbf.70136 · Cited by 3
Zhang, Y., Liu, X., Zhang, X., Fei, Y., & Li, X. (2025) · PLoS ONE · doi:10.1371/journal.pone.0335656 · Cited by 5
Danpanichkul, P., Duangsonk, K., Pang, Y.-F., Rakwong, K., Jit-Are-Roon, P., Wattanachayakul, P., Srikulmontri, T., Nah, B., Chen, V. L., Kim, D., et al. (2026) · Liver international (Print) · doi:10.1111/liv.70575 · Cited by 1
Ahmed, N. A., Hussein, A. A., Khalil, R. G., Yassin, N. Y. S., Abdelaziz, M. A., Geddawy, A., & Ahmed, O. M. (2026) · Biochemistry Research International · doi:10.1155/bri/1761697 · Cited by 3
Bai, J., Zhang, L., Zhang, M., Hao, Y., Yi, Z., & Zhou, Y. (2025) · BMC Public Health · doi:10.1186/s12889-025-22188-3 · Cited by 5
Sato‐Espinoza, K., Vierkant, R. A., Chotiprasidhi, P., Vairo, F. P. E., Tian, S., Ma, J., O’Brien, D. R., Lazaridis, K. N., Dlugosch, C., Schneider, C. V., et al. (2025) · Liver International · doi:10.1111/liv.70300 · Cited by 3
Cao, Y., Yang, Z., & Tang, Q. (2025) · BMC Gastroenterology · doi:10.1186/s12876-025-03597-5 · Cited by 3
Huang, L., Qu, S., Cui, X., Jin, Y., & Yao, Y. (2025) · Scientific Reports · doi:10.1038/s41598-025-05044-7 · Cited by 2
Paik, J. M., Zelber‐Sagi, S., Paik, A., Henry, L. L., Yilmaz, Y. N., El‐Kassas, M., Alqahtani, S. A., & Younossi, Z. M. (2025) · JAMA Network Open · doi:10.1001/jamanetworkopen.2025.38385 · Cited by 2
Qu, X., Jin, S., Shi, Y., Zhang, W., Cong, D., & Liu, Y. (2025) · Scientific Reports · doi:10.1038/s41598-025-31652-4 · Cited by 2
Évolution de la nomenclature des maladies hépatiques stéatosiques : vers un changement de paradigme
Halfon, P. (2025) · La Revue de Médecine Interne · doi:10.1016/j.revmed.2025.12.003 · Cited by 2
Hepatocyte hedgehog signaling controls ferroptosis to alleviate aging-related organ dysfunction
Jun, J. H., Dutta, R. K., Cho, S., Yao, R., Oh, S., Li, Z., Du, K., Umbaugh, D. S., Wang, N., Xu, Y., et al. (2026) · JCI Insight · doi:10.1172/jci.insight.207066 · Cited by 2
Mauricio, D., Escalada, J., Pérez, A., Romero‐Gómez, M., Cusi, K. J., Younoussi, Z. M., & Lazarus, J. V. (2024) · Endocrinología Diabetes y Nutrición (English ed ) · doi:10.1016/j.endien.2024.01.007 · Cited by 1
Teng, L., Luo, L., Sun, Y., Wang, W., Dong, Z., Cao, X., Ye, J., & Zhong, B. (2024) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2024.111973 · Cited by 1
Li, M., Gu, W., Liu, P., Chen, S., Duan, X., Yin, H., & Wu, S. (2025) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2025.104283 · Cited by 1
Παπάνας, Ν., Gouveri, E., Panou, T., Trypsianis, G. A., & Papazoglou, D. (2025) · Experimental and Clinical Endocrinology & Diabetes · doi:10.1055/a-2765-6480 · Cited by 1
Mapouka, M., Pabingui, E., Tazinkeng, N. N., Gurmessa, M., Vickos, U., Ndemazie, N. B., & Police, S. M. C. (2026) · World Journal of Gastroenterology · doi:10.3748/wjg.v32.i13.114657 · Cited by 1
Contemporary epidemiology of metabolic dysfunction-associated steatotic liver disease
Kim, D. H., Ko, D., Ahmed, A., & Kim, D. (2026) · Expert Review of Gastroenterology & Hepatology · doi:10.1080/17474124.2026.2684599 · Cited by 1
Rafaa, T. A., Khudhair, S. A., Mohammed, Z. O., & Suleiman, A. A. (2025) · Journal of Obesity · doi:10.1155/jobe/9245699 · Cited by 1
MASLD and MASH increase fracture risk in humans and mice by arresting new bone formationPreprint
Goldscheitter, G., Jahagirdar, V., Seneshaw, M., Mirshahi, F., Summerlin, M., Ip, A., Coelho, A., Buettmann, E. G., Genetos, D. C., Sanyal, A. J., et al. (2025) · Research Square · doi:10.21203/rs.3.rs-7775325/v1 · Cited by 1
Reply to: “MetALD accounts for a large part of what we call MASLD!”
Kwanten, W. J., Hofer, B., & Francque, S. (2024) · Journal of Hepatology · doi:10.1016/j.jhep.2024.08.020
Sun, Z., Yue, Y. G., & Li, P. (2024) · Research Square · doi:10.21203/rs.3.rs-5025893/v1
Xuan, M., Zhao, P., Xiao, C., & Zhong, X. (2024) · Research Square · doi:10.21203/rs.3.rs-5232702/v1
Yi, Q., Ouyang, X., Zhu, W., & Zhong, J. (2024) · Journal of Translational Medicine · doi:10.1186/s12967-024-05804-5
The significance of metabolism-associated steatotic liver disease and its treatment
Vašura, A., Machytka, E., Bužga, M., Macháčková, J., & Král, J. (2025) · Vnitřní lékařství · doi:10.36290/vnl.2025.005
Zabotina, E. E., Khabarova, Y. A., & Stukova, N. Y. (2025) · Experimental and Clinical Gastroenterology · doi:10.31146/1682-8658-ecg-229-9-96-109
Effects of Lifestyle Interventions on Metabolic Dysfunction-Associated Steatotic Liver Disease
Sharma, A. R., & Barb, D. (2025) · Springer eBooks · doi:10.1007/978-3-031-82888-1_10
Bhawariya, S., Bhardwaj, A., Singh, A., Sharma, R., Kapoor, R., Bawa, A., Joshi, L., & Bhardwaj, G. (2025) · Cureus · doi:10.7759/cureus.88636
Management of asymptomatic patients with abnormal liver function tests
Gabeta, S., Dalekos, G. Ν., & Gatselis, N. (2025) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2025.07.025
Saviano, A., & Serfaty, L. (2025) · EMC - Hépatologie · doi:10.1016/s1155-1976(25)46793-x
Albhaisi, S. A. M., Kim, S., Terrault, N. A., & Dodge, J. L. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5577808
Xu, J., Xu, Z.-X., & Yan, K.-P. (2025) · Medicine · doi:10.1097/md.0000000000046499
Stefan, N., Hartleb, M., Popovic, B., & Varona, R. (2024) · Figshare · doi:10.6084/m9.figshare.26732116
Ozono, Y., Kawakami, H., Hatada, H., Uchiyama, N., Ogawa, S., Uchida, K., Tamura, H., Komaki, Y., Nakamura, K., Iwakiri, H., et al. (2026) · BMC Gastroenterology · doi:10.1186/s12876-026-04610-1
Association of Metabolic Dysfunction-Associated Steatohepatitis with Metabolic-Related Diseases
Diamantopoulos, L. N., Kalligeros, M., Isaacs, S. D., & Mauricio, D. (2026) · Clinics in Liver Disease · doi:10.1016/j.cld.2025.12.001
Zhang, J., Zhang, C., Yang, C., Miao, Y., Wei, X., Zhang, Z., Shen, Z., & Bao, G. (2026) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2026.153710
Steatosis, Diabetes, and Fibrosis: Bridging Quantitative MRI and Clinical Scores in MASLD
Schuch, A., Torres, L., & Álvares‐da‐Silva, M. R. (2026) · Radiology · doi:10.1148/radiol.253364
McLaughlin, A., Manning, M. E., Lai, M., & Fricker, Z. P. (2026) · Journal of Addictive Diseases · doi:10.1080/10550887.2026.2639428
Song, W., & Ke, Z. (2026) · Frontiers in Physiology · doi:10.3389/fphys.2026.1760364
Metadata
- Authors
- Golabi, P., Paik, J. M., Kumar, A., Al Shabeeb, R., Eberly, K. E., Cusi, K., GunduRao, N., & Younossi, Z. M.
- Affiliations
- Inova Health System (US)
- Inova Fairfax Hospital (US)
- University of Florida Health (US)
- Corresponding author
- Younossi, Zobair M.
- Venue
- Metabolism
- Publisher
- Elsevier BV
- Published
- 2023-09
- Volume
- 146
- Pages
- 155642
- ISSN
- 0026-0495 (ISSN-L)
- OpenAlex
- W4382052014
- Cited by
- 113
- References
- 57
- Citations by year
- 2026: 32 · 2025: 43 · 2024: 34 · 2023: 4
- FWCI
- 22.48
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Hepatology › Liver Disease Diagnosis and Treatment
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Pathology and Forensic Medicine › Alcohol Consumption and Health Effects
- Keywords
- non-alcoholic fatty liver disease, type 2 diabetes, prediabetes, mortality, prevalence, metabolic syndrome, insulin resistance, C-reactive protein, NHANES III, competing risk analysis, cause-specific mortality, liver ultrasound, cardiovascular mortality, cancer mortality, liver disease mortality, dyslipidemia, hypertension, inflammation
- MeSH terms
- Adult, Diabetes Mellitus, Type 2, Female, Humans, Hypertension, Male, Nutrition Surveys, Prediabetic State, Risk Factors, United States, Body Mass Index, Renal Insufficiency, Chronic, Non-alcoholic Fatty Liver Disease
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review