Evidence map›Paper›PMID 31474798›Full record

ArticleAnnals of gastroenterology

Prevalence, trends, outcomes, and disparities in hospitalizations for nonalcoholic fatty liver disease in the United States.

Adeyinka Charles Adejumo, Gbeminiyi Olanrewaju Samuel, Oluwole Muyiwa Adegbala, Kelechi Lauretta Adejumo, Ogooluwa Ojelabi, Olalekan Akanbi, Olumuyiwa Akinbolaji Ogundipe, Lydie Pani

Open access · diamondAbstract read
In one paragraph

Article in Annals of gastroenterology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
1.8field-weighted citation impact, top 15% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 39 citations in OpenAlex.

  1. Integrative metabolomics and network pharmacology reveal the antifibrotic mechanisms of Gurigumu-13 in a rat model of hepatic fibrosis.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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  3. Socioeconomic Factors and Their Role in Metabolic Dysfunction-Associated Steatotic Liver Disease: A Comprehensive Review.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Review
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  9. Review
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  13. Effects of Food Insecurity on Hepatic Steatosis and Fibrosis in People With HIV.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2024
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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

8 authors at 1 institution in 1 country.

Adeyinka Charles AdejumoDepartment of Medicine, North Shore Medical Center, Salem, MA (Adeyinka Charles Adejumo, Lydie Pani).
Gbeminiyi Olanrewaju SamuelDepartment of Medicine, East Carolina University, Vidant Health Center, Greenville, NC (Gbeminiyi Olanrewaju Samuel).
Oluwole Muyiwa AdegbalaDepartment of Medicine, Englewood Hospital and Medical Center, Englewood, NJ (Oluwole Muyiwa Adegbala).
Kelechi Lauretta AdejumoDepartment of Public Health Program, University of Massachusetts Lowell, Lowell, MA (Adeyinka Charles Adejumo, Kelechi Lauretta Adejumo).
Ogooluwa OjelabiDepartment of Medicine, University of Massachusetts Medical School, Worcester MA (Adeyinka Charles Adejumo, Ogooluwa Ojelabi).
Olalekan AkanbiUniversity of Kentucky College of Medicine, Division of Hospital Medicine, Lexington, KY (Olalekan Akanbi).
Olumuyiwa Akinbolaji OgundipeApplied Clinical Research Program, St. Cloud State University, Plymouth, MN (Olumuyiwa Akinbolaji Ogundipe), USA.
Lydie PaniDepartment of Medicine, North Shore Medical Center, Salem, MA (Adeyinka Charles Adejumo, Lydie Pani).
Tufts University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs the frequency of nonalcoholic fatty liver disease (NAFLD) continues to rise in the United States (US) community, more patients are hospitalized with NAFLD. However, data on the prevalence and outcomes of hospitalizations with NAFLD are lacking. We investigated the prevalence, trends and outcomes of NAFLD hospitalizations in the US.

methodsHospitalizations with NAFLD were identified in the National Inpatient Sample (2007-2014) by their ICD-9-CM codes, and the prevalence and trends over an 8-year period were calculated among different demographic groups. After excluding other causes of liver disease among the NAFLD cohorts (n=210,660), the impact of sex, race and region on outcomes (mortality, discharge disposition, length of stay [LOS], and cost) were computed using generalized estimating equations (SAS 9.4).

resultsAdmissions with NAFLD tripled from 2007-2014 at an average rate of 79/100,000 hospitalizations/year (P<0.0001), with a larger rate of increase among males vs. females (83/100,000 vs. 75/100,000), Hispanics vs. Whites vs. Blacks (107/100,000 vs. 80/100,000 vs. 48/100,000), and government-insured or uninsured patients vs. privately-insured (94/100,000 vs. 74/100,000). Males had higher mortality, LOS, and cost than females. Blacks had longer LOS and poorer discharge destination than Whites; while Hispanics and Asians incurred higher cost than Whites. Uninsured patients had higher mortality, longer LOS, and poorer discharge disposition than the privately-insured.

conclusionsHospitalizations with NAFLD are rapidly increasing in the US, with a disproportionately higher burden among certain demographic groups. Measures are required to arrest this ominous trend and to eliminate the disparities in outcome among patients hospitalized with NAFLD.

Indexed as

chargecostdischarge dispositionEthnicitylength of stay

Identifiers

PMID31474798
PMCPMC6686099
OpenAlexW2964255369

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.