Evidence map›Paper›PMID 28266614›Full record

ArticleScientific reports2017

A multi-component classifier for nonalcoholic fatty liver disease (NAFLD) based on genomic, proteomic, and phenomic data domains.

G Craig Wood, Xin Chu, George Argyropoulos, Peter Benotti, David Rolston, Tooraj Mirshahi, Anthony Petrick, John Gabrielson, David J Carey, Johanna K DiStefano and 2 more

Abstract readEvaluation Study
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
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

33 citing papers in PubMed.

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  19. [Research progress of omics biomarkers for nonalcoholic fatty liver disease].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2021
    Review
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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

12 authors.

G Craig WoodGeisinger Obesity Research Institute, Danville, PA, USA.
Xin ChuGeisinger Obesity Research Institute, Danville, PA, USA.
George ArgyropoulosLewis Katz School of Medicine at Temple University, Philadelphia, PA, USA.
Peter BenottiGeisinger Obesity Research Institute, Danville, PA, USA.
David RolstonGeisinger Obesity Research Institute, Danville, PA, USA.
Tooraj MirshahiGeisinger Obesity Research Institute, Danville, PA, USA.
Anthony PetrickGeisinger Obesity Research Institute, Danville, PA, USA.
John GabrielsonGeisinger Obesity Research Institute, Danville, PA, USA.
David J CareyGeisinger Obesity Research Institute, Danville, PA, USA.
Johanna K DiStefanoNational Jewish Health, Denver, CO, USA.
Christopher D StillGeisinger Obesity Research Institute, Danville, PA, USA.
Glenn S GerhardGeisinger Obesity Research Institute, Danville, PA, USA.

Funding

Genetic determinants of NAFLD severity and progressionR01DK091601 · NIDDK · TRANSLATIONAL GENOMICS RESEARCH INST · PI DISTEFANO, JOHANNA K, GERHARD, GLENN S · 2011 to 2015
$2.9M
Genetic Determinants of Weight Loss and Resolution of Co-MorbiditiesR01DK088231 · NIDDK · TEMPLE UNIV OF THE COMMONWEALTH · PI GERHARD, GLENN S · 2011 to 2015
$2.5M
NIDDK NIH HHS R01 DK088231NIDDK NIH HHS R01 DK091601
6 · The paper itself

Abstract

Non-alcoholic fatty liver disease (NAFLD) represents a spectrum of conditions that include steatohepatitis and fibrosis that are thought to emanate from hepatic steatosis. Few robust biomarkers or diagnostic tests have been developed for hepatic steatosis in the setting of obesity. We have developed a multi-component classifier for hepatic steatosis comprised of phenotypic, genomic, and proteomic variables using data from 576 adults with extreme obesity who underwent bariatric surgery and intra-operative liver biopsy. Using a 443 patient training set, protein biomarker discovery was performed using the highly multiplexed SOMAscan

Indexed as

Decision Support TechniquesBariatric SurgeryBiomarkersGenomicsHumansNon-alcoholic Fatty Liver DiseaseObesityProteomicsROC CurveBiomarkers

Identifiers

PMID28266614
PMCPMC5339694

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Registered trials

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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.