Evidence map›Paper›PMID 31388628›Full record

ArticleHepatology communications2019

Body Composition and Genetic Lipodystrophy Risk Score Associate With Nonalcoholic Fatty Liver Disease and Liver Fibrosis.

Vincent L Chen, Andrew P Wright, Brian Halligan, Yanhua Chen, Xiaomeng Du, Samuel K Handelman, Michelle T Long, Douglas P Kiel, Elizabeth K Speliotes

Open access · goldAbstract read
In one paragraph

Article in Hepatology communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  8. Article
  9. NAFLD in normal weight individuals.Diabetology & metabolic syndrome · 2022
    Review
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  12. Article
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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

9 authors at 4 institutions in 1 country.

Vincent L ChenDivision of Gastroenterology and Hepatology, Department of Medicine University of Michigan Health System Ann Arbor MI.
Andrew P WrightDivision of Gastroenterology and Hepatology, Department of Medicine University of Michigan Health System Ann Arbor MI.
Brian HalliganDivision of Gastroenterology and Hepatology, Department of Medicine University of Michigan Health System Ann Arbor MI.
Yanhua ChenDivision of Gastroenterology and Hepatology, Department of Medicine University of Michigan Health System Ann Arbor MI.
Xiaomeng DuDivision of Gastroenterology and Hepatology, Department of Medicine University of Michigan Health System Ann Arbor MI.
Samuel K HandelmanDivision of Gastroenterology and Hepatology, Department of Medicine University of Michigan Health System Ann Arbor MI.
Michelle T LongSection of Gastroenterology Boston Medical Center, Boston University School of Medicine Boston MA.
Douglas P KielHebrew SeniorLife Institute for Aging Research, Department of Medicine Beth Israel Deaconess Medical Center Boston MA.
Elizabeth K SpeliotesDivision of Gastroenterology and Hepatology, Department of Medicine University of Michigan Health System Ann Arbor MI.
Michigan Medicine · USBoston Medical Center · USHarvard University · USLoma Linda University · US

Funding

University of Michigan Center for Gastrointestinal ResearchP30DK034933 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI OMARY, BISHR · 1986 to 2021
$22.5M
Training in Basic and Translational Digestive SciencesT32DK094775 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JOHN Y KAO, LINDA C. SAMUELSON · 2012 to 2026
$3.6M
Human population based genetic studies to elucidate the biology of NAFLDR01DK107904 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SPELIOTES, ELIZABETH K · 2016 to 2020
$3.4M
Identification and functional impact of NAFLD associated genetic variantsR01DK106621 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SPELIOTES, ELIZABETH K · 2015 to 2019
$3.3M
Identifying clinical and genetic correlates of hepatic fibrosis from fatty liver disease in the communityK23DK113252 · NIDDK · BOSTON MEDICAL CENTER · PI LONG, MICHELLE T · 2018 to 2022
$944k
NIDDK NIH HHS K23 DK113252NIDDK NIH HHS L30 DK106778NIDDK NIH HHS P30 DK034933NIDDK NIH HHS R01 DK106621NIDDK NIH HHS R01 DK107904NIDDK NIH HHS T32 DK094775
6 · The paper itself

Abstract

Up to 25% of patients with nonalcoholic fatty liver disease (NAFLD) are not obese but may have a fat or muscle composition that predisposes them to NAFLD. Our aim was to determine whether body composition parameters associate with NAFLD and to identify genetic contributors to this association. This study included two cohorts. The first included 2,249 participants from the Framingham Heart Study who underwent a computed tomography scan to evaluate hepatic steatosis, dual-energy x-ray absorptiometry testing to assess body composition, and clinical examination. Body composition parameters were normalized to total body weight. A subset of participants underwent genotyping with an Affymetrix 550K single-nucleotide polymorphism array. The second cohort, Michigan Genomics Initiative, included 19,239 individuals with genotyping on the Illumina HumanCoreExome v.12.1 array and full electronic health record data. Using sex-stratified multivariable linear regression, greater central body fat associated with increased hepatic steatosis while greater lower extremity body fat associated with decreased hepatic steatosis. Greater appendicular lean mass was associated with decreased hepatic steatosis in men but not in women. A polygenic risk score for lipodystrophy (regional or global loss of adipose tissue) was associated with increased hepatic steatosis, increased liver fibrosis, and decreased lower extremity fat mass.

Identifiers

PMID31388628
PMCPMC6671828
OpenAlexW2951721567

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.