The global epidemiology of NAFLD and NASH in patients with type 2 diabetes: A systematic review and meta-analysis
Tóm tắt
Từ khóa
Tài liệu tham khảo
Younossi, 2016, Global epidemiology of nonalcoholic fatty liver disease-meta-analytic assessment of prevalence, incidence, and outcomes, Hepatology, 64, 73, 10.1002/hep.28431
Chalasani, 2018, The diagnosis and management of nonalcoholic fatty liver disease: practice guidance from the American Association for the Study of Liver Diseases, Hepatology, 67, 328, 10.1002/hep.29367
Browning, 2004, Prevalence of hepatic steatosis in an urban population in the United States: impact of ethnicity, Hepatology, 40, 1387, 10.1002/hep.20466
Younossi, 2018, Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention, Nat Rev Gastroenterol Hepatol, 15, 11, 10.1038/nrgastro.2017.109
Younossi, 2004, Nonalcoholic fatty liver disease in patients with type 2 diabetes, Clin Gastroenterol Hepatol, 2, 262, 10.1016/S1542-3565(04)00014-X
Hossain, 2009, Independent predictors of fibrosis in patients with nonalcoholic fatty liver disease, Clin Gastroenterol Hepatol, 7, 10.1016/j.cgh.2009.06.007
Stepanova, 2013, Predictors of all-cause mortality and liver-related mortality in patients with non-alcoholic fatty liver disease (NAFLD), Dig Dis Sci, 58, 3017, 10.1007/s10620-013-2743-5
Fracanzani, 2008, Risk of severe liver disease in nonalcoholic fatty liver disease with normal aminotransferase levels: a role for insulin resistance and diabetes, Hepatology, 48, 792, 10.1002/hep.22429
Mofrad, 2003, Clinical and histologic spectrum of nonalcoholic fatty liver disease associated with normal ALT values, Hepatology, 37, 1286, 10.1053/jhep.2003.50229
Portillo-Sanchez, 2015, High prevalence of nonalcoholic fatty liver disease in patients with type 2 diabetes mellitus and normal plasma aminotransferase levels, J Clin Endocrinol Metab, 100, 2231, 10.1210/jc.2015-1966
Lonardo, 2016, Fatty liver is associated with an increased risk of diabetes and cardiovascular disease – evidence from three different disease models: NAFLD, HCV and HIV, World J Gastroenterol, 22, 9674, 10.3748/wjg.v22.i44.9674
Birkenfeld, 2014, Nonalcoholic fatty liver disease, hepatic insulin resistance, and type 2 diabetes, Hepatology, 59, 713, 10.1002/hep.26672
Baffy, 2012, Hepatocellular carcinoma in non-alcoholic fatty liver disease: an emerging menace, J Hepatol, 56, 1384, 10.1016/j.jhep.2011.10.027
Rafiq, 2009, Long-term follow-up of patients with nonalcoholic fatty liver, Clin Gastroenterol Hepatol, 7, 234, 10.1016/j.cgh.2008.11.005
Stepanova, 2010, Components of metabolic syndrome are independent predictors of mortality in patients with chronic liver disease: a population-based study, Gut, 59, 1410, 10.1136/gut.2010.213553
Estes, 2018, Modeling the epidemic of nonalcoholic fatty liver disease demonstrates an exponential increase in burden of disease, Hepatology, 67, 123, 10.1002/hep.29466
Younossi, 2011, Changes in the prevalence of the most common causes of chronic liver diseases in the United States from 1988 to 2008, Clin Gastroenterol Hepatol, 9, 10.1016/j.cgh.2011.03.020
Younossi, 2015, Association of nonalcoholic fatty liver disease (NAFLD) with hepatocellular carcinoma (HCC) in the United States from 2004 to 2009, Hepatology, 62, 1723, 10.1002/hep.28123
Cholankeril, 2017, Liver transplantation for nonalcoholic steatohepatitis in the US: temporal trends and outcomes, Dig Dis Sci, 62, 2915, 10.1007/s10620-017-4684-x
Younossi, 2018, Non-alcoholic steatohepatitis is the fastest growing cause of hepatocellular carcinoma in liver transplant candidates, Clin Gastroenterol Hepatol
Blais, 2015, Nonalcoholic fatty liver disease is underrecognized in the primary care setting, Am J Gastroenterol, 110, 10, 10.1038/ajg.2014.134
Sutton, 2000, Modelling publication bias in meta-analysis: a review, Stat Methods Med Res, 9, 421, 10.1177/096228020000900503
Lipsey, 2001, The way in which intervention studies have “personality” and why it is important to meta-analysis, Eval Health Prof, 24, 236
Veroniki, 2016, Methods to estimate the between-study variance and its uncertainty in meta-analysis, Res Synth Methods, 7, 55, 10.1002/jrsm.1164
Berkey, 1995, A random-effects regression model for meta-analysis, Stat Med, 14, 395, 10.1002/sim.4780140406
Greenland, 2001, On the bias produced by quality scores in meta-analysis, and a hierarchical view of proposed solutions, Biostatistics, 2, 463, 10.1093/biostatistics/2.4.463
Knapp, 2003, Improved tests for a random effects meta-regression with a single covariate, Stat Med, 22, 2693, 10.1002/sim.1482
Hommel, 1988, A stagewise rejective multiple test procedure based on a modified Bonferroni test, Biometrika, 75, 383, 10.1093/biomet/75.2.383
Country Comparison: Population. Central Intelligence Agency (CIA). Central Intelligence Agency (CIA) 2018. https://www.cia.gov/library/publications/the-world-factbook/rankorder/2119rank.html (accessed February 4, 2019).
Buehler, 1957, Confidence intervals for the product of two binomial parameters, J Am Stat Assoc, 52, 482, 10.1080/01621459.1957.10501404
Begg, 1994, Operating characteristics of a rank correlation test for publication bias, Biometrics, 50, 1088, 10.2307/2533446
Egger, 1997, Bias in meta-analysis detected by a simple, graphical test, BMJ, 315, 629, 10.1136/bmj.315.7109.629
Viechtbauer, 2010, Conducting meta-analyses in R with the metafor package, J Statistical Software, Articles, 36, 1
Health Organization W. Global report on diabetes 2016.
Dai, 2017, Prevalence of nonalcoholic fatty liver disease in patients with type 2 diabetes mellitus: a meta-analysis, Medicine, 96, 10.1097/MD.0000000000008179
Mahady, 2018, Burden of non-alcoholic fatty liver disease in Australia, J Gastroenterol Hepatol, 33, 1, 10.1111/jgh.14270
Kalra, 2013, Study of prevalence of nonalcoholic fatty liver disease (NAFLD) in type 2 diabetes patients in India (SPRINT), J Assoc Physicians India, 61, 448
Targher, 2015, A perspective on metabolic syndrome and nonalcoholic fatty liver disease, Metab Syndr Relat Disord, 13, 235, 10.1089/met.2015.1502
Firneisz, 2014, Non-alcoholic fatty liver disease and type 2 diabetes mellitus: the liver disease of our age?, World J Gastroenterol, 20, 9072
Leite, 2009, Prevalence and associated factors of non-alcoholic fatty liver disease in patients with type-2 diabetes mellitus, Liver Int, 29, 113, 10.1111/j.1478-3231.2008.01718.x
Bril, 2017, Management of nonalcoholic fatty liver disease in patients with type 2 diabetes: a call to action, Diabetes Care, 40, 419, 10.2337/dc16-1787
Hazlehurst, 2016, Non-alcoholic fatty liver disease and diabetes, Metabolism, 65, 1096, 10.1016/j.metabol.2016.01.001
CDC. Center for Disease Control and Prevention – Viral hepatitis – Surveillance for viral hepatitis 2014;2018.
Burney, 2015, Global and regional trends in COPD mortality, 1990–2010, Eur Respir J, 45, 1239, 10.1183/09031936.00142414
CDC - Data and Statistics - Chronic Obstructive Pulmonary Disease (COPD) 2018. https://www.cdc.gov/copd/data.html (accessed November 26, 2018).
CDC. Center for Disease Control and Prevention – Chronic obstructive pulmonary disease – Data and statistics 2014;2018.
Dulai, 2017, Increased risk of mortality by fibrosis stage in nonalcoholic fatty liver disease: systematic review and meta-analysis, Hepatology, 65, 1557, 10.1002/hep.29085
Younossi, 2011, Pathologic criteria for nonalcoholic steatohepatitis: interprotocol agreement and ability to predict liver-related mortality, Hepatology, 53, 1874, 10.1002/hep.24268
Stepanova, 2017, Patients with diabetes and chronic liver disease are at increased risk for overall mortality: a population study from the United States, Clin Diabetes, 35, 79, 10.2337/cd16-0018
Golabi, 2016, Current complications and challenges in nonalcoholic steatohepatitis screening and diagnosis, Expert Rev Gastroenterol Hepatol, 10, 63, 10.1586/17474124.2016.1099433
Anderson, 2015, The prevalence of non-alcoholic fatty liver disease in children and adolescents: a systematic review and meta-analysis, PLoS ONE, 10, 10.1371/journal.pone.0140908
Reade, 2008, Bench-to-bedside review: avoiding pitfalls in critical care meta-analysis–funnel plots, risk estimates, types of heterogeneity, baseline risk and the ecologic fallacy, Crit Care, 12, 220, 10.1186/cc6941