Evidence map›Paper›PMID 32300995›Full record

ArticleHepatology international2020

Extrahepatic manifestations and healthcare expenditures of non-alcoholic fatty liver disease in the Medicare population.

Mehmet Sayiner, Tamoore Arshad, Pegah Golabi, James Paik, Freba Farhat, Zobair M Younossi

Abstract read
PubMed Publisher
In one paragraph

Article in Hepatology international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
3.8field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Review
  6. The utility of an artificial intelligence model based on decision tree and evolution algorithm to evaluate steatotic liver disease in a primary care setting.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2025
    Article
  7. Article
  8. Understanding the Burden of Nonalcoholic Fatty Liver Disease: Time for Action.Diabetes spectrum : a publication of the American Diabetes Association · 2024
    Article
  9. Article
  10. Extracellular Vesicles and Fatty Liver.Advances in experimental medicine and biology · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
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

6 authors at 2 institutions in 1 country.

Mehmet SayinerDepartment of Medicine, Center for Liver Disease, Inova Fairfax Medical Campus, Falls Church, VA, USA.
Tamoore ArshadDepartment of Medicine, Center for Liver Disease, Inova Fairfax Medical Campus, Falls Church, VA, USA.
Pegah GolabiBetty and Guy Beatty Center for Integrated Research, Inova Health System, Claude Moore Health Education and Research Building, 3300 Gallows Road, Falls Church, VA, 22042, USA.
James PaikBetty and Guy Beatty Center for Integrated Research, Inova Health System, Claude Moore Health Education and Research Building, 3300 Gallows Road, Falls Church, VA, 22042, USA.
Freba FarhatDepartment of Medicine, Center for Liver Disease, Inova Fairfax Medical Campus, Falls Church, VA, USA.
Zobair M YounossiDepartment of Medicine, Center for Liver Disease, Inova Fairfax Medical Campus, Falls Church, VA, USA. Zobair.Younossi@inova.org.
Inova Fairfax Hospital · USInova Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimNon-alcoholic fatty liver disease (NAFLD) is a very common liver disease which has been associated with a number of the extrahepatic manifestations (EHMs) and healthcare expenditures. Our aim was to assess the presence and impact of these EHMs of NAFLD on mortality and healthcare expenditures.

methodsMedicare beneficiaries (2005-2016) were included. ICD-9 and ICD-10 codes were used to identify patients with NAFLD and EHMs which included cardiovascular disease (CVD), hypertension (HTN), diabetes (DM), hyperlipidemia (HL), non-hepatocellular carcinoma (HCC) cancers, and others. Temporal trends among different groups were analyzed by join point regression model. Independent predictors of outcomes were evaluated in multiple generalized linear or logistic regression models.

resultsAmong 30,908,679 Medicare beneficiaries (5% sample of Medicare data from 2005-2016), 1,980,950 (6.4%) had NAFLD diagnosis. From 2005 to 2016, the prevalence of NAFLD in the Medicare population increased at an average annual increase of 3.1%. The most common diseases associated with NAFLD were DM (86.3%), followed by HTN (85.2%), HL (79.8%), and CVD (35.8%). One-year mortality rate in NAFLD patients increased from 3.55 to 6.33 per 1000 from 2005 to 2016. One-year mortality was independently associated with diagnosis of HCC, cirrhosis, DM (outpatient), depression, dementia, lung disease, renal failure, thyroid disorder (inpatient), neurological disorder as well as non-HCC cancers.

conclusionNAFLD is associated with a number of EHMs that increases its mortality and increased healthcare expenditure.

Indexed as

Health ExpendituresMedicareAgedAged, 80 and overDiagnosis-Related GroupsEthnicityFemaleHumansMaleNon-alcoholic Fatty Liver DiseasePrevalenceUnited StatesCardiovascular diseaseHyperlipidemiaHypertensionMedicareMortalityNonalcoholic fatty liver diseaseOutcomesResource utilizationTrendsType 2 diabetes

Identifiers

PMID32300995
OpenAlexW3017234630

What OpenQuestion holds

Textmetadata
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.