Evidence map›Paper›PMID 28802062›Full record

ReviewHepatology (Baltimore, Md.)2018

Modeling the epidemic of nonalcoholic fatty liver disease demonstrates an exponential increase in burden of disease.

Chris Estes, Homie Razavi, Rohit Loomba, Zobair Younossi, Arun J Sanyal

7 registry-linked trialsOpen access · hybridAbstract readReview
In one paragraph

Review in Hepatology (Baltimore, Md.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 7 registered trials, which are not on this map. Cited by 1,285 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,285citing papers in PubMed, 8 pooled it
92.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03914495 naterminatednot on this mapstarted 2019, after this paper: background citation

The Role of Microbiome Reprogramming on Liver Fat Accumulation

TypeinterventionalSponsorAdventHealth Translational Research InstituteRan2019 to 2021Enrolled57ConditionsNAFLDArmsInulin, Placebo
NCT04785937 nacompletednot on this mapstarted 2019, after this paper: background citation

Accuracy of Imaging Techniques Including Ultrasound and Magnetic Resonance Imaging in the Diagnosis of Steatohepatitis and Fibrosis in Patients With Non-Alcoholic Fatty Liver Disease: Comparison With the Histological Reference Standard

TypeinterventionalSponsorAzienda USL Reggio Emilia - IRCCSRan2019 to 2025Enrolled28ConditionsNon-Alcoholic Fatty Liver Disease, Steatohepatitis, Nonalcoholic, Liver FibrosesArmsUltrasound and Magnetic Resonance
NCT05184283 terminatednot on this mapstarted 2022, after this paper: background citation

Longitudinal Assessment of Muscle Health in Patients Undergoing Liver Transplantation (LT) for Hepatocellular Carcinoma (HCC)

TypeobservationalSponsorColumbia UniversityRan2022 to 2023Enrolled11ConditionsNAFLD, Hepatocellular Carcinoma, Liver Diseases, Liver Cancer
NCT05712603 completednot on this mapstarted 2022, after this paper: background citation

A Care Path for the Detection of Advanced NAFLD-fibrosis: the Nijmegen-Leiden-Amsterdam 2-tiered Care Path Study - the NLA2 Study

TypeobservationalSponsorAcademisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)Ran2022 to 2024Enrolled655ConditionsNon-Alcoholic Fatty Liver DiseaseArmsFIB4-score, Vibration controlled transient elastography, Enhanced Liver Fibrosis test
NCT05987748 naunknown statusnot on this mapstarted 2023, after this paper: background citation

The Clock Thickens: Morning or Evening Training for the Treatment of NAFLD? (TikTac Study)

TypeinterventionalSponsorLeiden University Medical CenterRan2023 to 2024Enrolled40ConditionsNon-Alcoholic Fatty Liver DiseaseArmsExercise training
NCT06249477 nacompletednot on this mapstarted 2022, after this paper: background citation

Weight Loss and Physical Activity Lifestyle Interventions In Post Liver And Kidney Transplants

TypeinterventionalSponsorMassachusetts General HospitalRan2022 to 2023Enrolled24ConditionsWeight Loss, Lifestyle FactorsArmsWrist activity tracker and scale, Nutritional Coaching group sessions
NCT06715189 not yet recruitingnot on this mapstarted 2024, after this paper: background citation

Correlation Between Serum Adiponectin and Resistin Levels and Degree of Hepatic Fibrosis In Metabolic Dysfunction _Associated Steatotic Liver Disease (MASLD)With Type2 Diabetes Mellitus

TypeobservationalSponsorSohag UniversityRan2024 to 2025Enrolled80ConditionsHepatic FibrosisArmsserum Adiponectine and Resistin, fibroscan
3 · Its place in the literature

Who cites it

1,285 citing papers in PubMed, 8 syntheses or guidelines pooled it, 2,339 citations in OpenAlex.

  1. Pooled it
  2. Prognostic significance of systemic immune-inflammation index in hepatocellular carcinoma: a meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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1,225 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

Chris EstesCenter for Disease Analysis, Lafayette, CO.
Homie RazaviCenter for Disease Analysis, Lafayette, CO.ORCID 0000-0002-2658-6930
Rohit LoombaDivision of Gastroenterology, Department of Internal Medicine, University of California, San Diego, CA.
Zobair YounossiDepartment of Medicine, Inova Fairfax Hospital, Falls Church, VA.ORCID 0000-0001-9313-577X
Arun J SanyalDivision of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University School of Medicine, Richmond, VA.
Center for Disease Analysis · USInova Fairfax Hospital · USUniversity of California San Diego · USVirginia Commonwealth University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonalcoholic fatty liver disease (NAFLD) and resulting nonalcoholic steatohepatitis (NASH) are highly prevalent in the United States, where they are a growing cause of cirrhosis and hepatocellular carcinoma (HCC) and increasingly an indicator for liver transplantation. A Markov model was used to forecast NAFLD disease progression. Incidence of NAFLD was based on historical and projected changes in adult prevalence of obesity and type 2 diabetes mellitus (DM). Assumptions were derived from published literature where available and validated using national surveillance data for incidence of NAFLD-related HCC. Projected changes in NAFLD-related cirrhosis, advanced liver disease, and liver-related mortality were quantified through 2030. Prevalent NAFLD cases are forecasted to increase 21%, from 83.1 million (2015) to 100.9 million (2030), while prevalent NASH cases will increase 63% from 16.52 million to 27.00 million cases. Overall NAFLD prevalence among the adult population (aged ≥15 years) is projected at 33.5% in 2030, and the median age of the NAFLD population will increase from 50 to 55 years during 2015-2030. In 2015, approximately 20% of NAFLD cases were classified as NASH, increasing to 27% by 2030, a reflection of both disease progression and an aging population. Incidence of decompensated cirrhosis will increase 168% to 105,430 cases by 2030, while incidence of HCC will increase by 137% to 12,240 cases. Liver deaths will increase 178% to an estimated 78,300 deaths in 2030. During 2015-2030, there are projected to be nearly 800,000 excess liver deaths.

conclusionWith continued high rates of adult obesity and DM along with an aging population, NAFLD-related liver disease and mortality will increase in the United States. Strategies to slow the growth of NAFLD cases and therapeutic options are necessary to mitigate disease burden. (Hepatology 2018;67:123-133).

Indexed as

Health Care CostsMarkov ChainsAdultAgedAge DistributionCost of IllnessDisease ProgressionFemaleHumansLiver NeoplasmsMaleMiddle AgedNon-alcoholic Fatty Liver DiseasePrevalenceRisk AssessmentSeverity of Illness Index

Identifiers

PMID28802062
PMCPMC5767767
OpenAlexW2744982526

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

and 1 more above

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.