Three investigators (R.H., M.L., and S.B.) independently reviewed the search results to determine article inclusion and perform data abstraction. Discrepancies were resolved by consensus. For each selected publication, we abstracted year of publication, country, inclusion criteria, histological definition of fatty liver (i.e., simple steatosis and steatohepatitis), number of participants undergoing ultrasound and comparison tests (if applicable), definitions of fatty liver used in the study, ultra-sonographic parameters evaluated, and reported measures of accuracy and reliability. For articles with no reported measure of accuracy, we estimated the sensitivity and specificity from the available data. We evaluated the quality of each article by applying modified Quality Assessment of Diagnostic Accuracy Studies (QUADAS)12 (link) and STAndards for the Reporting of Diagnostic accuracy studies (STARD) criteria.13 (link)Study outcome was the presence of fatty liver as a dichotomous variable, using the specific criteria and definitions used in each study. For ultrasound, a few studies reported four categories, and we combined the normal/mild categories as absence of fatty liver, and the moderate/severe categories as presence of fatty liver. For histology, we used the presence of greater than or equal to 20%-30% fat infiltration to define fatty liver, except for Nagata et al. (≥10%), Guajardo-Salinas (>0%), and Soresi (>5%). We conducted secondary analyses on the diagnostic accuracy using lower levels of fat infiltration on histology as diagnostic criteria (i.e., <5%, ≥10%, and a ≥20%-30%).
Because number of ultrasonographic parameters have been used alone or in combination to diagnose fatty liver; if data were available, we evaluated the diagnostic accuracy of the following parameters: (1) parenchymal brightness, (2) liver-to-kidney contrast, (3) deep beam attenuation, (4) bright vessel walls, and (5) gallbladder wall definition. Given that some studies reported or combined different histological findings, such as inflammation and fibrosis, we performed secondary analyses to study how accurate ultrasound was in identifying fatty infiltration with or without inflammation or fibrosis.
Because number of ultrasonographic parameters have been used alone or in combination to diagnose fatty liver; if data were available, we evaluated the diagnostic accuracy of the following parameters: (1) parenchymal brightness, (2) liver-to-kidney contrast, (3) deep beam attenuation, (4) bright vessel walls, and (5) gallbladder wall definition. Given that some studies reported or combined different histological findings, such as inflammation and fibrosis, we performed secondary analyses to study how accurate ultrasound was in identifying fatty infiltration with or without inflammation or fibrosis.