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1 Supplementary appendix This appendix formed part of the original submission and has been peer reviewed. We post it as supplied by the authors. Supplement to: Harris R, Harman DJ, Card TR, Aithal GP, Guha IN. Prevalence of clinically significant liver disease within the general population, as defined by non-invasive markers of liver fibrosis: a systematic review. Lancet Gastroenterol Hepatol 2017; published online Jan 31.
2 Webappendix Table 1a. Results of 10 studies reporting liver fibrosis prevalence in patients with risk factors for non-alcoholic fatty liver disease (NAFLD) using a non-invasive test in a community setting Study (First Author) Risk Factor Prevalence Outcome Measure Non-invasive Test Threshold Disease Prevalence Normal ALT (%) (Diseased State) Baba(1) NAFLD (ultrasound) = 100% Any liver fibrosis TE (liver stiffness) 5.9kPa 31.0% Not Stated a) TE (liver stiffness) 9.6kPa a) 3.7% b) AST:ALT 1.0 b) 12.1% c) APRI 0.5 c) 4.5% Wong(2) Type 2 Diabetes = 11% Metabolic Syndrome = 47.3% Advanced Liver Fibrosis d) APRI 1.5 e) FIB d) 0% e) 9.8% Not Stated f) FIB f) 0.4% g) NAFLD Fibrosis Score g) 0% h) BARD 2 h) 6.1% Veysey(3) NAFLD defined by elevated fatty liver index score Advanced Liver Fibrosis NAFLD Fibrosis Score % Not Stated Armstrong(4) Type 2 Diabetes = 38.6% Obesity = 60.3% Advanced Liver Fibrosis NAFLD Fibrosis Score % N/A (subjects selected due to abnormal LFTs) Kim(5) NAFLD (detected on ultrasound) = 100% Type 2 Diabetes = 8.4% Type 2 Diabetes = 24.3% Liver Fibrosis NAFLD Fibrosis Score % Not Stated Grattagliano(6) Metabolic Syndrome = 29.7% BMI 25 = 89.2% i) Any Liver Fibrosis ( F1-F2) ii) Advanced Liver Fibrosis i) Fibrotest 0.32 ii) Fibrotest 0.58 i) 53.7% ii) 13.1% ii) 26.5% BMI 30 = 46.5% Williamson(7) Type 2 Diabetes = 100% i) Any hepatic fibrosis (whole study population) i) Hyaluronic acid (HA) >100ng/ml and no joint disease ii) a) HA as above i) 5.7% ii) a) 6.1% ii) 87.5% 1
3 ii) Any hepatic fibrosis (NAFLD risk only) b) BAAT score ( 2) c) BARD Score (2) ii b) 79.3% ii c) 92.6% d) NAFLD fibrosis score ii d) 16.4% Whole study: i) a) 0.8% i) b) 22.4% Morling(8) Type 2 Diabetes = 100% i) Any Liver Fibrosis (whole study population) ii) Any Liver Fibrosis (NAFLD) i) and ii) a) APRI 1.0 b) AST:ALT Ratio 1.0 c) ELF score d) FIB e) TE (Liver Stiffness) 8.7kPa i) c) 7.0% i) d) 68.3% i) e) 4.8% NAFLD subgroup: ii) a)0.4% ii) b) 16.7% Not Stated ii) c) 4.3% ii) d) 63.8% ii) e) 4.8% Whole population: BMI 25 = 7% Das(9) Abdominal Obesity* =11% Dysglycaemia = 13% NAFLD subgroup: BMI 25 = 25% Significant Liver Fibrosis TE (Liver stiffness) 8kPa 1.4% of whole population; 15.9% of NAFLD patients; 59% of NAFLD patients with raised ALT N/A (subjects selected due to raised ALT) Abdominal obesity 39% Dysglycaemia 26% Harman(10) Type 2 diabetes = 93.4% Significant Liver Fibrosis TE (liver stiffness) 8kPa 33.8% 74.6% BMI 30 = 49.0% 2
4 Metabolic syndrome = 49.0% Webappendix Table 1b. Results of 4 studies reporting liver fibrosis prevalence in patients with hazardous alcohol use using a non-invasive test in a community setting Study (First Author) Risk Factor Prevalence Outcome Measure Non-invasive Test Threshold Disease Prevalence Baba(1) Alcohol consumption >20g/day = 100% Any liver fibrosis TE (liver stiffness) 5.9kPa 20.5% Normal ALT (%) (Diseased State) Not stated Sheron(11) Hazardous alcohol use (Alcohol AUDIT score>15) = 24.4% Probable Liver Fibrosis Southampton Traffic Light Red % 87.1% Moessner(12) Hazardous alcohol use = 60% Significant Liver Fibrosis TE (liver stiffness) 8kPa 17% Not Stated Hazardous alcohol use = 100% Harman(10) Type 2 diabetes = 11.3% BMI 30 = 20.2% Metabolic syndrome = 8.9% Significant Liver Fibrosis TE (liver stiffness) 8kPa 18.5% 74.1% ALT = alanine aminotransferase; AST = aspartame aminotransferase; APRI = AST:platelet count ratio; AUDIT = Alcohol use disorders identification test; BAAT = score of age 50 years (1 point), body mass index 28 kg/m 2 (1 point), ALT 2 times upper limit of normal, triglycerides 1.7mmol/L; BARD = weighted score of Body mass index 28 kg/m 2 (1 point), AST:ALT ratio 0.8 (2 points), Type 2 Diabetes (1 point); BMI = body mass index; ELF = Enhanced Liver Fibrosis (combination of hyaluronic acid, TIMP metallopeptidase inhibitor 1 and Procollagen III N-Terminal Propeptide);FIB4 = combination of age, ALT, AST and platelet count; Fibrotest = combination of α2- macroglobulin,age, Apolipoprotein A1, bilirubin, gender, GGT and haptoglobin; HA = Hyaluronic acid; kpa = kilopascals; NAFLD = Non-alcoholic fatty liver disease; NFS = NAFLD Fibrosis Score (combination of age, hyperglycaemia, body mass index, platelet count, albumin, and AST:ALT ratio); Southampton Traffic Light Test = combination of hyaluronic acid, Procollagen III N-Terminal Propeptide and platelet count; TE = Transient Elastography 3
5 Webappendix Table 2. Studies reporting factors associated with liver fibrosis on logistic regression analysis Study (First Author) Outcome Measure Uni- or Multivariate Analysis Variable Odds Ratio (95% CI) P Value BMI ( ) BMI > ( ) Baba(1) Elevated Liver Stiffness (>5.9kPa) Univariate Alcohol>20g/day Abnormal LFT Fatty Liver 2.12 ( ) 3.88 ( ) 5.55 ( ) APRI 2.11 ( ) Multivariate (BMI and alcohol adjusted) BMI BMI> ( ) 3.25 ( ) You(13) Significant Fibrosis Multivariate (Age, BMI, HOMA-IR, visceral fat area on CT, calcified carotid plaques and carotid IMT adjusted) BMI ALT Carotid IMT Number of calcified carotid plaques ( ) ( ) ( ) ( ) Age 1.08 ( ) <0.001 Zelber-Sagi(14) Significant Fibrosis (F1-F2 and above) Multivariate (Age and Sex adjusted; stepwise comparison) Male Gender Obesity 6.74 ( ) 2.30 ( ) < Insulin 1.03 ( ) Age 1.12 ( ) Male Gender 4.31 ( ) Poynard(15) Presumed Fibrosis Multivariate Waist Circumference Triglycerides 1.03 ( ) 1.32 ( ) Total Cholesterol 0.61 ( ) 0.04 Fasting Glucose 1.15 ( )
6 Age 1.13 ( ) Confirmed Fibrosis Multivariate Male Gender Waist Circumference 6.36 ( ) 1.05 ( ) Triglycerides 1.22 ( ) Age 57 years 2.0 ( ) Female Gender 0.5 ( ) Ex-smoker 1.7 ( ) 0.05 BMI ( ) Elevated Waist Circumference 2.6 ( ) Univariate Triglycerides>150mg/dl 2.0 ( ) Diabetes 3.1 ( ) Hypertension 2.9 ( ) Roulot(16) Elevated Liver Stiffness (>8kPa) GGT 45IU/L ALT 40IU/L Platelets< /l 3.4 ( ) 6.3 ( ) 3.7 ( ) 0.03 Age 57 years 1.8 ( ) 0.02 BMI ( ) 0.04 Multivariate (factors p<0.20 above plus alcohol consumption) Elevated Waist Circumference Diabetes 1.9 ( ) 1.7 ( ) GGT 45IU/L 1.7 ( ) 0.04 ALT 40IU/L 4.2 ( ) ALT = alanine aminotransferase; APRI = AST:platelet count ratio; BMI = body mass index; CT= Computer tomography; GGT = gamma-glutamyl transpeptidase; HOMA-IR = Homeostasis model assessment-insulin resistance; IMT = intima-media thickness; kpa = kilopascals 5
7 6
8 Appendix Search algorithms used within the electronic databases Database: Ovid MEDLINE(R) <1946 to January Week > Search Strategy: Results: 329 hits exp Liver Cirrhosis/di [Diagnosis] (7647) 2 exp Fatty Liver/di [Diagnosis] (3112) 3 exp Liver Diseases, Alcoholic/di [Diagnosis] (1367) 4 (hepatic fibrosis or Chronic liver disease* or advanced fibrosis or non alcoholic fatty liver disease* or NAFLD or NAFL or alcoholic liver disease* or ALD or liver fibrosis* or hepatic cirrhos* or liver cirrhos* or fatty liver disease* or fatty liver or advanced fibrosis).mp. (113886) 5 exp Biological Markers/ (669858) 6 exp Elasticity Imaging Techniques/ (3985) 7 exp Diagnostic Imaging/ ( ) 8 (non invasive biomarker* or non invasive biological marker* or non invasive marker* or fibroscan or liver stiffness or transient elastography or ultrasound abdomen or ARFI or liver function test* or LFT* or fibrotest* or fib4 or Lok or FORNS or APRI or ELF or NFS or BAAT or BARD or noninvasive biomarker* or noninvasive biological marker* or noninvasive marker* or elastogram* or sonoelastograph* or imaging tissue elastic or elasticity imaging technique*).mp. (42847) 9 exp Family Practice/ or exp General Practice/ (65915) 7
9 10 exp Primary Health Care/ (84294) 11 exp Community Health Services/ (514681) 12 (gp or general practice* or family practice* or primary care or communit* or outreach).mp. (539188) 13 1 or 2 or 3 (10904) 14 5 or 6 or 7 or 8 ( ) 15 4 and 14 (23298) and 14 (4877) 17 9 or 10 or 11 or 12 (962504) or 16 (23432) and 18 (329) Database: Embase <1980 to 2015 Week 03> Search Strategy: Results: 274 hits exp Liver Cirrhosis/di [Diagnosis] (10375) 2 exp Fatty Liver/di [Diagnosis] (4932) 3 exp Liver Diseases, Alcoholic/di [Diagnosis] (1672) 4 (hepatic fibrosis or Chronic liver disease* or advanced fibrosis or non alcoholic fatty liver disease* or NAFLD or 8
10 NAFL or alcoholic liver disease* or ALD or liver fibrosis* or hepatic cirrhos* or liver cirrhos* or fatty liver disease* or fatty liver or advanced fibrosis).mp. (172281) 5 exp Biological Markers/ (136914) 6 exp Elasticity Imaging Techniques/ (6192) 7 exp Diagnostic Imaging/ (120239) 8 (non invasive biomarker* or non invasive biological marker* or non invasive marker* or fibroscan or liver stiffness or transient elastography or ultrasound abdomen or ARFI or liver function test* or LFT* or fibrotest* or fib4 or LOk or FORNS or APRI or ELF or NFS or BAAT or BARD or noninvasive biomarker* or noninvasive biological marker* or noninvasive marker* or elastogram* or sonoelastograph* or imaging tissue elastic or elasticity imaging technique*).mp. (55678) 9 exp Family Practice/ or exp General Practice/ (68233) 10 exp Primary Health Care/ (110827) 11 exp Community Health Services/ (99163) 12 (gp or general practice* or family practice* or primary care or communit* or outreach).mp. (663151) 13 exp chronic liver disease/di [Diagnosis] (1122) 14 exp early diagnosis/ (72202) 15 exp liver fibrosis/ (26007) 16 exp diagnosis/ ( ) 17 exp non invasive measurement/ (13716) 18 chronic liver disease/ (12578) 19 exp liver cirrhosis/ (109545) 9
11 20 exp fatty liver/ (39198) 21 exp nonalcoholic fatty liver/ or exp alcohol liver disease/ (31283) 22 4 or 15 or 18 or 19 or 20 or 21 (185464) 23 5 or 6 or 7 or 8 or 14 or 17 (389042) 24 (22 or 1 or 2 or 3) and 23 (17179) 25 9 or 10 or 11 or 12 (722145) and 25 (274) 10
12 Prisma 2009 Checklist Section/topic TITLE # Checklist item Reported on page # Title 1 Identify the report as a systematic review, meta-analysis, or both. 1 ABSTRACT Structured summary 2 Provide a structured summary including, as applicable: background; objectives; data sources; study eligibility criteria, participants, and interventions; study appraisal and synthesis methods; results; limitations; conclusions and implications of key findings; systematic review registration number. INTRODUCTION Rationale 3 Describe the rationale for the review in the context of what is already known Objectives 4 Provide an explicit statement of questions being addressed with reference to participants, interventions, comparisons, outcomes, and study design (PICOS). METHODS 6 Protocol and registration 5 Indicate if a review protocol exists, if and where it can be accessed (e.g., Web address), and, if available, provide registration information including registration number. Eligibility criteria 6 Specify study characteristics (e.g., PICOS, length of follow-up) and report characteristics (e.g., years considered, language, publication status) used as criteria for eligibility, giving rationale. Information sources 7 Describe all information sources (e.g., databases with dates of coverage, contact with study authors to identify additional studies) in the search and date last searched. Search 8 Present full electronic search strategy for at least one database, including any limits used, such that it could be repeated. n/a
13 Study selection 9 State the process for selecting studies (i.e., screening, eligibility, included in systematic review, and, if applicable, included in the meta-analysis). Data collection process 10 Describe method of data extraction from reports (e.g., piloted forms, independently, in duplicate) and any processes for obtaining and confirming data from investigators. Data items 11 List and define all variables for which data were sought (e.g., PICOS, funding sources) and any assumptions and simplifications made. Risk of bias in individual studies 12 Describe methods used for assessing risk of bias of individual studies (including specification of whether this was done at the study or outcome level), and how this information is to be used in any data synthesis. Summary measures 13 State the principal summary measures (e.g., risk ratio, difference in means). 9 Synthesis of results 14 Describe the methods of handling data and combining results of studies, if done, including measures of consistency (e.g., I 2 ) for each meta-analysis n/a (see page 19) 9 Page 1 of 2 Section/topic # Checklist item Reported on page # Risk of bias across studies 15 Specify any assessment of risk of bias that may affect the cumulative evidence (e.g., publication bias, selective reporting within studies). Additional analyses 16 Describe methods of additional analyses (e.g., sensitivity or subgroup analyses, meta-regression), if done, indicating which were pre-specified. RESULTS Study selection 17 Give numbers of studies screened, assessed for eligibility, and included in the review, with reasons for exclusions at each stage, ideally with a flow diagram. Study characteristics 18 For each study, present characteristics for which data were extracted (e.g., study size, PICOS, follow-up period) and provide the citations. Risk of bias within studies 19 Present data on risk of bias of each study and, if available, any outcome level assessment (see item 12). Results of individual studies 20 For all outcomes considered (benefits or harms), present, for each study: (a) simple summary data for each intervention group (b) effect estimates and confidence intervals, ideally with a forest plot , table Table 2-12
14 5 Synthesis of results 21 Present results of each meta-analysis done, including confidence intervals and measures of consistency. N/A Risk of bias across studies 22 Present results of any assessment of risk of bias across studies (see Item 15). Additional analysis 23 Give results of additional analyses, if done (e.g., sensitivity or subgroup analyses, meta-regression [see Item 16]). DISCUSSION Summary of evidence 24 Summarize the main findings including the strength of evidence for each main outcome; consider their relevance to key groups (e.g., healthcare providers, users, and policy makers) Limitations 25 Discuss limitations at study and outcome level (e.g., risk of bias), and at review-level (e.g., incomplete retrieval of identified research, reporting bias). Conclusions 26 Provide a general interpretation of the results in the context of other evidence, and implications for future research FUNDING Funding 27 Describe sources of funding for the systematic review and other support (e.g., supply of data); role of funders for the systematic review. 39 From: Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med 6(7): e doi: /journal.pmed For more information, visit: Page 2 of 2 13
15 14
16 References 1. Baba M, Furuya K, Bandou H, Kasai K, Sadaoka K. Discrimination of individuals in a general population at high-risk for alcoholic and non-alcoholic fatty liver disease based on liver stiffness: a cross section study. BMC Gastroenterol. 2011;11: Wong VW, Chu WC, Wong GL, et al. Prevalence of non-alcoholic fatty liver disease and advanced fibrosis in Hong Kong Chinese: a population study using proton-magnetic resonance spectroscopy and transient elastography. Gut Mar;61(3): Veysey M, Siow W, Niblett S, King K, Yates Z, Lucock M. Hepatic fibrosis in an elderly population. Journal of Gastroenterology and Hepatology (Australia) October;29: Armstrong MJ, Houlihan DD, Bentham L, et al. Presence and severity of non-alcoholic fatty liver disease in a large prospective primary care cohort. Journal of hepatology Jan;56(1): Kim D, Kim WR, Kim HJ, Therneau TM. Association between noninvasive fibrosis markers and mortality among adults with nonalcoholic fatty liver disease in the United States. Hepatology Apr;57(4): Grattagliano I UE, Napoli L, Marulli CF, et al. Utility of noninvasive methods for the characterization of nonalcoholic liver steatosis in the family practice. The "VARES" Italian multicenter study.. Ann Hepatol 2013 Jan-Feb;12(1): Williamson RM, Price JF, Hayes PC, et al. Prevalence and markers of advanced liver disease in type 2 diabetes. QJM May;105(5): Morling JR, Fallowfield JA, Guha IN, et al. Using non-invasive biomarkers to identify hepatic fibrosis in people with type 2 diabetes mellitus: the Edinburgh type 2 diabetes study. Journal of hepatology Feb;60(2): Das K, Das K, Mukherjee PS, et al. Nonobese population in a developing country has a high prevalence of nonalcoholic fatty liver and significant liver disease. Hepatology May;51(5): Harman DJ, Ryder SD, James MW, et al. Direct targeting of risk factors significantly increases the detection of liver cirrhosis in primary care: a crosssectional diagnostic study utilising transient elastography. BMJ open. 2015;5(4):e Sheron N, Moore M, O'Brien W, Harris S, Roderick P. Feasibility of detection and intervention for alcohol-related liver disease in the community: the Alcohol and Liver Disease Detection study (ALDDeS). Br J Gen Pract Oct;63(615):e Moessner BK, Jorgensen TR, Skamling M, et al. Outreach screening of drug users for cirrhosis with transient elastography. Addiction May;106(5): You SC, Kim KJ, Kim SU, et al. Factors associated with significant liver fibrosis assessed using transient elastography in general population. World J Gastroenterol Jan 28;21(4): Zelber-Sagi S, Ratziu V, Zvibel I, et al. The association between adipocytokines and biomarkers for nonalcoholic fatty liver disease-induced liver injury: a study in the general population. European journal of gastroenterology & hepatology Mar;24(3): Poynard T, Lebray P, Ingiliz P, et al. Prevalence of liver fibrosis and risk factors in a general population using non-invasive biomarkers (FibroTest). BMC Gastroenterol. 2010;10:40. 15
17 16. Roulot D, Costes JL, Buyck JF, et al. Transient elastography as a screening tool for liver fibrosis and cirrhosis in a community-based population aged over 45 years. Gut Jul;60(7):
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