Evidence map›Paper›PMID 24857521›Full record

ArticleThe Journal of pediatrics2014

Predicting hepatic steatosis in a racially and ethnically diverse cohort of adolescent girls.

Jennifer L Rehm, Ellen L Connor, Peter M Wolfgram, Jens C Eickhoff, Scott B Reeder, David B Allen

Open access · greenAbstract read
In one paragraph

Article in The Journal of pediatrics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Guideline
  2. Trial
  3. Childhood obesity: The threatening apprentice of the adiposity empire.Reviews in endocrine & metabolic disorders · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. The Liver in Children With Metabolic Syndrome.Frontiers in endocrinology · 2019
    Review
  15. Review
  16. Overview of Pediatric Nonalcoholic Fatty Liver Disease: A Guide for General Practitioners.The Journal of the Oklahoma State Medical Association · 2018
    Article
  17. Article
  18. Article
  19. Obesity science & practice · 2016
    Article
  20. 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.

Jennifer L RehmDepartment of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI. Electronic address: jrehm@pediatrics.wisc.edu.
Ellen L ConnorDepartment of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI.
Peter M WolfgramDepartment of Pediatrics, Medical College of Wisconsin, Milwaukee, WI.
Jens C EickhoffDepartments of Biostatistics and Medical Informatics, University of Wisconsin School of Medicine and Public Health, Madison, WI.
Scott B ReederDepartment of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI; Department of Medical Physics, Biomedical Engineering, Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI.
David B AllenDepartment of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI.
University of Wisconsin–Madison · USMedical College of Wisconsin · US

Funding

Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
Technical Validation of MRI Biomarkers of Liver FatR01DK088925 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B., SIRLIN, CLAUDE B · 2010 to 2021
$7.1M
Childhood Diabetes Clinical & Molecular Research Training ProgramT32DK077586 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI Brigid Ellen Gregg, Scott B. Reeder · 2008 to 2026
$2.4M
Technical Development of Quantitative Biomarkers of Fatty Liver Disease with MRIR01DK083380 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B. · 2010 to 2013
$1.2M
NCATS NIH HHS UL1 TR000427NIDDK NIH HHS R01 DK083380NIDDK NIH HHS R01DK083380NIDDK NIH HHS R01 DK088925NIDDK NIH HHS R01DK088925NIDDK NIH HHS T32 DK077586NIDDK NIH HHS T32DK07758604
6 · The paper itself

Abstract

objectiveTo develop a risk assessment model for early detection of hepatic steatosis using common anthropometric and metabolic markers. STUDY

designThis was a cross-sectional study of 134 adolescent and young adult females, age 11-22 years (mean 13.3±2 years) from a middle school and clinics in Madison, Wisconsin. The ethnic distribution was 27% Hispanic and 73% non-Hispanic; the racial distribution was 64% Caucasian, 31% African-American, and 5% Asian, Fasting glucose, fasting insulin, alanine aminotransferase (ALT), body mass index (BMI), waist circumference (WC), and other metabolic markers were assessed. Hepatic fat was quantified using magnetic resonance imaging proton density fat fraction (MR-PDFF). Hepatic steatosis was defined as MR-PDFF>5.5%. Outcome measures were sensitivity, specificity, and positive predictive value (PPV) of BMI, WC, ALT, fasting insulin, and ethnicity as predictors of hepatic steatosis, individually and combined, in a risk assessment model. Classification and regression tree methodology was used to construct a decision tree for predicting hepatic steatosis.

resultsMR-PDFF revealed hepatic steatosis in 16% of subjects (27% overweight, 3% nonoverweight). Hispanic ethnicity conferred an OR of 4.26 (95% CI, 1.65-11.04; P=.003) for hepatic steatosis. BMI and ALT did not independently predict hepatic steatosis. A BMI>85% combined with ALT>65 U/L had 9% sensitivity, 100% specificity, and 100% PPV. Lowering the ALT value to 24 U/L increased the sensitivity to 68%, but reduced the PPV to 47%. A risk assessment model incorporating fasting insulin, total cholesterol, WC, and ethnicity increased sensitivity to 64%, specificity to 99% and PPV to 93%.

conclusionA risk assessment model can increase specificity, sensitivity, and PPV for identifying the risk of hepatic steatosis and guide the efficient use of biopsy or imaging for early detection and intervention.

Indexed as

AdolescentAnthropometryAsianBlack or African AmericanBody Mass IndexChildCross-Sectional StudiesFatty LiverFemaleHumansMagnetic Resonance ImagingObesityOverweightPredictive Value of TestsRisk AssessmentSensitivity and Specificity

Identifiers

PMID24857521
PMCPMC4131842
OpenAlexW1970431550

What OpenQuestion 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 OpenQuestion graph.