Cited by 115Liver Disease Diagnosis and TreatmentLiver Diseases and ImmunityInnovations in Medical Education

A Global Survey of Physicians Knowledge About Nonalcoholic Fatty Liver Disease

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Younossi, Zobair M., Ong, Janus P., Takahashi, Hirokazu, Yilmaz, Yusuf, Eguc`hi, Yuichiro, El Kassas, Mohamed, Buti, Maria, Diago, Moisés +24 more·2022·Clinical Gastroenterology and Hepatology

Abstract

Background & aims Despite rapidly increasing nonalcoholic fatty liver disease (NAFLD) prevalence, providers' knowledge may be limited. We assessed NAFLD knowledge and associated factors among physicians of different specialties globally. Methods NAFLD knowledge surveys containing 54 and 59 questions covering 3 domains (epidemiology/pathogenesis, diagnostics, and treatment) were completed electronically by hepatologists, gastroenterologists (GEs), endocrinologists (ENDOs), and primary care physicians (PCPs) from 40 countries comprising 5 Global Burden of Disease super-regions. Over 24 months, 2202 surveys were completed (488 hepatologists, 758 GEs, 148 ENDOs, and 808 PCPs; 50% high-income Global Burden of Disease super-region, 27% from North Africa and Middle East, 12% Southeast Asia, and 5% South Asian and Latin America). Results Hepatologists saw the greatest number of NAFLD patients annually: median 150 (interquartile range, 60-300) vs 100 (interquartile range, 35-200) for GEs, 100 (interquartile range, 30-200) for ENDOs, and 10 (interquartile range, 4-50) for PCPs (all P < .0001). The primary sources of NAFLD knowledge acquisition for hepatologists were international conferences (33% vs 8%-26%) and practice guidelines for others (39%-44%). The Internet was the second most common source of NAFLD knowledge for PCPs (28%). NAFLD knowledge scores were higher for hepatologists than GEs: epidemiology, 62% vs 53%; diagnostics, 80% vs 73%; and treatment, 61% vs 58% (P < .0001), and ENDOs scores were higher than PCPs: epidemiology, 70% vs 60%; diagnostics, 71% vs 64%; and treatment, 79% vs 68% (P < .0001). Being a hepatologist or ENDO was associated with higher knowledge scores than a GE or PCP, respectively (P < .05). Higher NAFLD knowledge scores were associated independently with a greater number of NAFLD patients seen (P < .05). Conclusions Despite the growing burden of NAFLD, a significant knowledge gap remains for the identification, diagnosis, and management of NAFLD.

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  • The sheer volume of medical knowledge makes staying up to date regarding management of chronic medical conditions challenging.

    “Although the present study demonstrated that OE reinforced the CDM by the PCPs in commonly treated conditions, the sheer volume of medical knowledge makes staying up to date regarding management of chronic medical conditions challenging. 12”

    From The use of an artificial intelligence platform OpenEvidence to augment clinical decision-making for primary care physicians (2025) · cites this paper as [12]

    The Discussion (page unavailable) reports knowledge gaps about NAFLD, especially among primary care physicians, and recommends regular webinars on new updates. This supports a narrower point about keeping physicians informed on NAFLD, but the paper does not attribute the difficulty to the sheer volume of medical knowledge or address management of chronic conditions generally. (LLM, conf=0.78)

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  • In a recent global survey of MASLD, knowledge scores were significantly higher in HEP, ENDO, and GI physicians in every domain (diagnosis, epidemiology, treatment) compared to PCPs.

    “A recent global survey of Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD) was conducted to assess knowledge among PCPs, hepatologists (HEP), gastroenterologists (GI), and endocrinologists (ENDO). The knowledge scores were significantly higher in HEP, ENDO, and GI physicians in every domain (i.e., diagnosis, epidemiology, and treatment) when compared to PCPs. 12”

    From The use of an artificial intelligence platform OpenEvidence to augment clinical decision-making for primary care physicians (2025) · cites this paper as [12]

    The Awareness and Knowledge section (page not specified) reports significantly higher scores for endocrinologists than PCPs in all three domains. It compares hepatologists with gastroenterologists on a separate survey version, not either group with PCPs; the Methods section confirms the two versions differed. The paper describes its subject as NAFLD, rather than MASLD. (LLM, conf=0.91)

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Cites

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Research works printed but not linked: 42

  1. Younossi ZM. Non-alcoholic fatty liver disease -a global public health perspective. J Hepatol 2019;70:531-544.
  2. Younossi ZM, Koenig AB, Abdelatif D, et al. Global epidemi- ology of nonalcoholic fatty liver disease-meta-analytic assess- ment of prevalence, incidence, and outcomes. Hepatology 2016;64:73-84.
  3. Le P, Rothberg M, Gawieh S, et al. Prevalence and risk factors of hepatic steatosis and fibrosis in American adults: a population- based study. Hepatology 2020;72:404A.
  4. Nyberg LM, Cheetham TC, Patton HM, et al. The natural history of NAFLD, a community-based study at a large health care delivery system in the United States. Hepatol Commun 2020; 5:83-96.
  5. Paik JM, Golabi P, Younossi Y, et al. Changes in the global burden of chronic liver diseases from 2012 to 2017: the growing impact of NAFLD. Hepatology 2020;72:1605-1616.
  6. Wong RJ, Aguilar M, Cheung R, et al. Nonalcoholic steatohe- patitis is the second leading etiology of liver disease among adults awaiting liver transplantation in the United States. Gastroenterology 2015;148:547-555.
  7. Alexander M, Loomis AK, Fairburn-Beech J, et al. Real-world data reveal a diagnostic gap in non-alcoholic fatty liver disease. BMC Med 2018;16:130.
  8. Alqahtani S, Paik JM, Biswas R, et al. Poor awareness of liver disease among adults with nonalcoholic fatty liver disease in the United States. Hepatol Commun 2021;5:1833-1847.
  9. Patel PJ, Banh X, Horsfall LU, et al. Underappreciation of non- alcoholic fatty liver disease by primary care clinicians: limited awareness of surrogate markers of fibrosis. Intern Med J 2018; 48:144-151.
  10. Polanco-Briceno S, Glass D, Stuntz M, et al. Awareness of nonalcoholic steatohepatitis and associated practice patterns of primary care physicians and specialists. BMC Res Notes 2016; 9:157.
  11. Ratziu V, Cadranel JF, Serfaty L, et al. A survey of patterns of practice and perception of NAFLD in a large sample of practicing gastroenterologists in France. J Hepatol 2012;57:376-383.
  12. Matthias AT, Fernandopulle AN, Seneviratne SL. Survey on knowledge of non-alcoholic fatty liver disease (NAFLD) among doctors in Sri Lanka: a multicenter study. BMC Res Notes 2018; 11:556.
  13. Casler K, Trees K, Bosak K. Providing care for fatty liver disease patients: primary care nurse practitioners' knowledge, actions, and preparedness. Gastroenterol Nurs 2020;43:E184-E189.
  14. Cheung A, Figueredo C, Rinella ME. Nonalcoholic fatty liver disease: identification and management of high-risk patients. Am J Gastroenterol 2019;114:579-590.
  15. Chalasani N, Younossi Z, Lavine JE, et al. The diagnosis and management of nonalcoholic fatty liver disease: practice guid- ance from the American Association for the Study of Liver Dis- eases. Hepatology 2018;67:328-357.
  16. Bedogni G, Bellentani S, Miglioli L, et al. The Fatty Liver Index: a simple and accurate predictor of hepatic steatosis in the general population. BMC Gastroenterol 2006;6:33.
  17. Lee JH, Kim D, Kim HJ, et al. Hepatic steatosis index: a simple screening tool reflecting nonalcoholic fatty liver disease. Dig Liver Dis 2010;42:503-508.
  18. Castellanos-Fernández MI, Borges-González SA, Stepanova M, et al. Health-related quality of life in Cuban patients with chronic liver disease: a real-world experience. Ann Hepatol 2020; 22:100277.
  19. Younossi ZM, Stepanova M, Lawitz EJ, et al. Patients with nonal- coholic steatohepatitis experience severe impairment of health- related quality of life. Am J Gastroenterol 2019;114:1636-1641.
  20. Younossi ZM, Stepanova M, Anstee QM, et al. Reduced patient- reported outcome scores associate with level of fibrosis in pa- tients with nonalcoholic steatohepatitis. Clin Gastroenterol Hepatol 2019;17:2552-2560.e10.
  21. European Association for the Study of the Liver (EASL); , Eu- ropean Association for the Study of Diabetes (EASD); European Association for the Study of Obesity (EASO). EASL-EASD-EASO clinical practice guidelines for the management of non-alcoholic fatty liver disease. J Hepatol 2016;64:1388-1402.
  22. Eslam M, Sarin SK, Wong V, et al. The Asian Pacific Association for the Study of the Liver clinical practice guidelines for the diagnosis and management of metabolic associated fatty liver disease. Hepatol Int 2020;14:889-919.
  23. Eslam M, Newsome PN, Sarin SK, et al. A new definition for metabolic dysfunction-associated fatty liver disease: an inter- national expert consensus statement. J Hepatol 2020; 73:202-209.
  24. Younossi ZM, Rinella ME, Sanyal AJ, et al. From NAFLD to MAFLD: implications of a premature change in terminology. Hepatology 2021;73:1194-1198.
  25. Said A, Gagovic V, Malecki K, et al. Primary care practitioners survey of non-alcoholic fatty liver disease. Ann Hepatol 2013; 12:758-765. Reprint requests Address requests for reprints to: Zobair M. Younossi, MD, MPH, Betty and Guy Beatty Center for Integrated Research, Claude Moore Health Education and Research Building, Inova Fairfax Medical Campus, 3300 Gallows Road, Falls Church, Virginia 22042. e-mail: Zobair.Younossi@inova.org; fax: (703) 776-4386.
  26. CRediT Authorship Contributions Zobair M. Younossi, MD (Conceptualization: Lead; Investigation: Lead; Methodology: Lead; Supervision: Lead; Writing -original draft: Equal; Writing - review & editing: Lead)
  27. Janus P. Ong (Investigation: Supporting; Writing -original draft: Lead; Writing -review & editing: Supporting) Hirokazu Takahashi (Data curation: Equal; Writing -review & editing: Equal)
  28. Yusuf Yilmaz (Data curation: Equal; Writing -review & editing: Equal) Yuichiro Eguchi (Data curation: Equal; Writing -review & editing: Equal) Mohamed El Kassas (Data curation: Equal; Writing -review & editing: Equal)
  29. Maria Buti (Data curation: Equal; Writing -review & editing: Equal) Moisés Diago (Data curation: Equal; Writing -review & editing: Equal)
  30. Ming-Hua Zheng (Data curation: Equal; Writing -review & editing: Equal)
  31. Jian-Gao Fan (Data curation: Equal; Writing -review & editing: Equal)
  32. Ming-Lung Yu (Data curation: Equal; Writing -review & editing: Equal)
  33. Vincent Wai-Sun Wong (Data curation: Equal; Writing -review & editing: Equal) Khalid Alswat (Data curation: Equal; Writing -review & editing: Equal) Wah-Kheong Chan (Data curation: Equal; Writing -review & editing: Equal) Nahum Mendez-Sanchez (Data curation: Equal; Writing -review & editing: Equal)
  34. Patrizia Burra (Data curation: Equal; Writing -review & editing: Equal) Elisabetta Bugianesi (Data curation: Equal; Writing -review & editing: Equal)
  35. Ajay K. Duseja (Data curation: Equal; Writing -review & editing: Equal)
  36. Jacob George (Data curation: Equal; Writing -review & editing: Equal)
  37. George V. Papatheodoridis (Data curation: Equal; Writing -review & edit- ing: Equal)
  38. Hamid Saeed (Data curation: Equal; Writing -review & editing: Equal)
  39. Laurent Castera (Data curation: Equal; Writing -review & editing: Equal) Marco Arrese (Data curation: Equal; Writing -review & editing: Equal) Marcelo Kugelmas (Data curation: Equal; Writing -review & editing: Equal)
  40. Manuel Romero-Gomez (Data curation: Equal; Writing -review & editing: Equal) Saleh Alqahtani (Data curation: Equal; Writing -review & editing: Equal) Mariam Ziayee (Data curation: Equal; Writing -review & editing: Equal)
  41. Brian Lam (Data curation: Equal; Writing -review & editing: Equal)
  42. Issah Younossi (Project administration: Lead) Andrei Racila (Data curation: Supporting; Project administration: Equal; Software: Lead) Linda Henry (Writing -original draft: Supporting; Writing -review & editing: Lead) Maria Stepanova (Formal analysis: Lead; Methodology: Lead; Writing - original draft: Equal; Writing -review & editing: Equal)

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Authors
Younossi, Z. M., Ong, J. P., Takahashi, H., Yilmaz, Y., Eguc`hi, Y., El Kassas, M., Buti, M., Diago, M., Zheng, M.-H., Fan, J.-G., Yu, M.-L., Wai-Sun Wong, V., Alswat, K., Chan, W.-K., Mendez-Sanchez, N., Burra, P., Bugianesi, E., Duseja, A. K., George, J., Papatheodoridis, G. V., Saeed, H., Castera, L., Arrese, M., Kugelmas, M., Romero-Gomez, M., Alqahtani, S., Ziayee, M., Lam, B., Younossi, I., Racila, A., Henry, L., & Stepanova, M.
Affiliations
  • Inova Health System (US)
  • University of the Philippines Manila (PH)
  • Saga University (JP)
  • Istanbul University (TR)
  • First Affiliated Hospital of Wenzhou Medical University (CN)
  • Shanghai Jiao Tong University (CN)
  • Kaohsiung Medical University (TW)
  • King Saud University (SA)
  • University of Malaya (MY)
  • Azienda Ospedale - Università Padova (IT)
  • University of Turin (IT)
  • Post Graduate Institute of Medical Education and Research (IN)
  • The University of Sydney (AU)
  • National and Kapodistrian University of Athens (GR)
  • Aga Khan University (PK)
  • Pontificia Universidad Católica de Chile (CL)
  • King Faisal Specialist Hospital & Research Centre (SA)
  • Center for Outcomes Research in Liver Diseases (US)
Corresponding author
Younossi, Zobair M.
Venue
Clinical Gastroenterology and Hepatology
Publisher
Elsevier BV
Published
2022-06
Volume
20
Issue
6
Pages
e1456-e1468
ISSN
1542-3565 (ISSN-L)
OpenAlex
W3181177767
Cited by
115
References
3
Citations by year
2026: 15 · 2025: 22 · 2024: 30 · 2023: 25 · 2022: 17 · 2021: 6
FWCI
14.05
Type
journal article
Language
en
Open access
Locations
  • Clinical Gastroenterology and Hepatology (publishedVersion)
  • PubMed (publishedVersion)
  • Institutional Research Information System University of Turin (University of Turin) (submittedVersion, other-oa)
  • RISalud Institutional Health Repository of Andalucía (submittedVersion, other-oa)
  • Dspace Repository (Marmara Üniversitesi) (submittedVersion)
  • DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion)
  • eCommons - AKU (Aga Khan University) (submittedVersion)
  • Deposito de Investigacion Universidad de Sevilla (University of Seville) (submittedVersion, cc-by-nc-nd)
  • Padua Research Archive (University of Padova) (submittedVersion)
Topics
  • Health Sciences › Medicine › Epidemiology › Liver Disease Diagnosis and Treatment
  • Health Sciences › Medicine › Hepatology › Liver Diseases and Immunity
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
Keywords
non-alcoholic fatty liver disease, physician knowledge, NAFLD pathogenesis, NAFLD diagnosis, NAFLD treatment, hepatologists, gastroenterologists, endocrinologists, primary care physicians, physician specialty differences, NAFLD prevalence, physician training needs
MeSH terms
Humans, Latin America, Physicians, Surveys and Questionnaires, Prevalence, Non-alcoholic Fatty Liver Disease

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