Evidence map›Paper›PMID 33185977›Full record

ArticleObesity (Silver Spring, Md.)2021

Can Baseline Characteristics be Used to Predict Liver Disease Outcomes in Pediatric Nonalcoholic Fatty Liver Disease?

Sarah Orkin, Toshifumi Yodoshi, Qin Sun, Lin Fei, Syeda Meryum, Ana Catalina Arce-Clachar, Kristin Bramlage, Andrew F Beck, Marialena Mouzaki

Open access · greenAbstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 1 institution in 1 country.

Sarah OrkinDivision of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.ORCID 0000-0003-1242-6335
Toshifumi YodoshiDivision of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Qin SunDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Lin FeiDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Syeda MeryumDivision of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Ana Catalina Arce-ClacharDivision of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Kristin BramlageDivision of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Andrew F BeckDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Marialena MouzakiDivision of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Cincinnati Children's Hospital Medical Center · US

Funding

Stem Cell/Organoid and Genome Editing CoreP30DK078392 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI Alexander Miethke · 2007 to 2026
$24.4M
PEDIATRIC GASTROENTEROLOGY AND NUTRITION TRAINING GRANTT32DK007727 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI Phillip P Minar · 1995 to 2026
$11.3M
NIDDK NIH HHS P30 DK078392NIDDK NIH HHS T32 DK007727
6 · The paper itself

Abstract

objectiveLongitudinal studies on childhood predictors of nonalcoholic fatty liver disease (NAFLD) progression are lacking. The objective of this study was to determine whether baseline clinical or laboratory measures predict liver disease outcomes in a pediatric NAFLD cohort.

methodsA retrospective study of patients with presumed NAFLD was conducted using baseline and follow-up clinical and laboratory measures. Disease outcomes were defined using the mean serum alanine aminotransferase (ALT) levels from 24 to 36 months after the first visit. Logistic regression assessed the relationship between ALT progression/regression and predictor variables. Multivariable regression determined the best model for predicting the ALT outcome. Markov process modeling explored the likelihood for a patient to transition between ALT states.

resultsOf a total of 816 patients identified, 144 had sufficient data. Regression was seen in 26%, whereas 30% progressed. No baseline clinical or laboratory measurements had a significant effect on disease outcomes. Markov modeling demonstrated that subjects were more likely to either remain in their baseline ALT group or worsen rather than improve.

conclusionsRoutinely obtained baseline clinical or laboratory measures cannot help risk-stratify youth with presumed NAFLD in terms of long-term outcomes. Close clinical, radiographic, and histologic evaluation of patients is warranted to determine those at risk of progression.

Indexed as

AdolescentAlanine TransaminaseChildChild, PreschoolDisease ProgressionFemaleHumansMaleMarkov ChainsMultivariate AnalysisNon-alcoholic Fatty Liver DiseaseRegression AnalysisRetrospective StudiesAlanine Transaminase

Identifiers

PMID33185977
PMCPMC7902314
OpenAlexW3104621329

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.