Additional file 1: of Real-world data reveal a diagnostic gap in non-alcoholic fatty liver disease

Table S1. Characteristics of the primary-care databases included in the study. Figure S1. Identification of NAFLD patients in the IPCI database. Table S2. List of codes for the identification of NAFLD and description in ICD9CM, ICD10, Read Codes and SNOMEDCT US terminologies. Table S3. Number and proportion of patients with individual patient characteristic data available. Table S4. Point prevalence (95% CI) of NAFLD and NASH (per 100 persons) on 1 January of each calendar year in four primary-care databases, and pooled across databases. Table S5. One-year period prevalence (95% CI) of NAFLD (per 100 persons) on 1 January of each calendar year in four primary-care databases. Table S6. Point prevalence (95% CI) of NAFLD (per 1000 persons) by age categories and gender on 1 January 2015 in four primary-care databases. Table S7. Incidence estimates (95% CI) of NAFLD (per 1000 person-years) by calendar year in four primary-care databases, and pooled estimates across databases. Table S8. Incidence estimates (95% CI) of NAFLD (per 1000 person-years) in 2015 by age categories and gender in four primary-care databases. Figure S2. Pooled a prevalence (per 100 persons) and b incidence (per 1000 person-years) regressed over calendar year by meta-regression. Figure S3. Distribution of entry date for patients in the four databases. (DOCX 203 kb