Evidence map›Paper›PMID 25610640›Full record

ArticleJournal of obesity2014

Identification of novel clinical factors associated with hepatic fat accumulation in extreme obesity.

Glenn S Gerhard, Peter Benotti, G Craig Wood, Xin Chu, George Argyropoulos, Anthony Petrick, William E Strodel, Jon D Gabrielsen, Anna Ibele, Christopher D Still and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of obesity, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  8. Altered expression of MALAT1 lncRNA in nonalcoholic steatohepatitis fibrosis regulates CXCL5 in hepatic stellate cells.Translational research : the journal of laboratory and clinical medicine · 2017
    Article
  9. Article
  10. Review
  11. Article
  12. Circulating microRNAs in nonalcoholic fatty liver disease.Expert review of gastroenterology & hepatology · 2016
    Review
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

12 authors at 3 institutions in 1 country.

Glenn S GerhardDepartment of Medical Genetics and Molecular Biochemistry, Temple University School of Medicine, 3500 N. Broad Street, Philadelphia, PA 19140, USA.
Peter BenottiGeisinger Obesity Research Institute, Danville, PA 17822, USA.
G Craig WoodGeisinger Obesity Research Institute, Danville, PA 17822, USA.ORCID 0000-0002-6015-9692
Xin ChuGeisinger Obesity Research Institute, Danville, PA 17822, USA.
George ArgyropoulosGeisinger Obesity Research Institute, Danville, PA 17822, USA.ORCID 0000-0002-3675-2138
Anthony PetrickGeisinger Obesity Research Institute, Danville, PA 17822, USA.ORCID 0000-0002-5072-9161
William E StrodelGeisinger Obesity Research Institute, Danville, PA 17822, USA.
Jon D GabrielsenGeisinger Obesity Research Institute, Danville, PA 17822, USA.
Anna IbeleGeisinger Obesity Research Institute, Danville, PA 17822, USA.
Christopher D StillGeisinger Obesity Research Institute, Danville, PA 17822, USA.
Christopher KingsleyTranslational Genomics Institute, Phoenix, AZ 85004, USA.ORCID 0000-0002-7158-4563
Johanna DiStefanoTranslational Genomics Institute, Phoenix, AZ 85004, USA.ORCID 0000-0002-3286-0270
Geisinger Neuroscience Institute · USTranslational Genomics Research Institute · USTemple University · US

Funding

Research BaseP30DK072488 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI MITCHELL, BRAXTON D, TAYLOR, SIMEON I. · 2005 to 2019
$17.3M
Genetic determinants of NAFLD severity and progressionR01DK091601 · NIDDK · TRANSLATIONAL GENOMICS RESEARCH INST · PI DISTEFANO, JOHANNA K, GERHARD, GLENN S · 2011 to 2015
$2.9M
NIDDK NIH HHS DK091601NIDDK NIH HHS P30 DK072488NIDDK NIH HHS R01 DK091601
6 · The paper itself

Abstract

objectivesThe accumulation of lipids stored as excess triglycerides in the liver (steatosis) is highly prevalent in obesity and has been associated with several clinical characteristics, but most studies have been based on relatively small sample sizes using a limited set of variables. We sought to identify clinical factors associated with liver fat accumulation in a large cohort of patients with extreme obesity.

methodsWe analyzed 2929 patients undergoing intraoperative liver biopsy during a primary bariatric surgery. Univariate and multivariate regression modeling was used to identify associations with over 200 clinical variables with the presence of any fat in the liver and with moderate to severe versus mild fat accumulation.

resultsA total of 19 data elements were associated with the presence of liver fat and 11 with severity of liver fat including ALT and AST, plasma lipid, glucose, and iron metabolism variables, several medications and laboratory measures, and sleep apnea. The accuracy of a multiple logistic regression model for presence of liver fat was 81% and for severity of liver fat accumulation was 77%.

conclusionsA limited set of clinical factors can be used to model hepatic fat accumulation with moderate accuracy and may provide potential mechanistic insights in the setting of extreme obesity.

Indexed as

BiomarkersBariatric SurgeryBlood GlucoseFatty LiverFemaleHumansIronLipidsLiverLogistic ModelsMaleMiddle AgedObesity, MorbidSeverity of Illness IndexSleep Apnea SyndromesTriglyceridesBiomarkersBlood GlucoseIronLipidsTriglycerides

Identifiers

PMID25610640
PMCPMC4290025
OpenAlexW2056473769

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.