Evidence map›Paper›PMID 31008924›Full record

ArticleMedicine2019

Metabolic characteristics of obese children with fatty liver: A STROBE-compliant article.

Kanglu Zhao, Hongzhen Ju, Haili Wang

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Childhood obesity: The threatening apprentice of the adiposity empire.Reviews in endocrine & metabolic disorders · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Observational
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

3 authors at 2 institutions in 1 country.

Kanglu ZhaoDepartment of Infectious Disease, The Fourth Affiliated Hospital Zhejiang University, School of Medicine, Yiwu.
Hongzhen JuDepartment of Infectious Disease, The Fourth Affiliated Hospital Zhejiang University, School of Medicine, Yiwu.
Haili WangDepartment of Infectious Disease, The First Affiliated Hospital Zhejiang University, School of Medicine, Hangzhou.
First Affiliated Hospital Zhejiang University · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate metabolic differences between simple obese children and those comorbid with fatty liver disease.Obese children hospitalized in our center from 2014 to 2016 were included and divided into simple obese group and obese with fatty liver group by ultrasound-based diagnosis of fatty liver. Epidemiology data and serum biochemical studies were recorded. Body Mass Index (BMI) and homeostasis model insulin resistance index (HOMA-IR) were calculated accordingly.A total of 186 obese children were enrolled in this study, including 93 cases of obese children and 93 obese patients' comorbid with fatty liver. The proportion of male, age, waist circumference (WC), BMI, fasting blood-glucose (FBG), glycosylated hemoglobin A1c (HbA1c), fasting insulin (FINS), and HOMA-IR were significantly higher in obese patients with fatty liver (P <.05). Age and BMI were found to be independent risk factors for fatty liver disease (OR >1, P <.05).Among obese children, male and elder patients and individuals with higher uric acid are more susceptible to fatty liver.

Indexed as

Pediatric ObesityAdolescentAge FactorsBlood GlucoseBody Mass IndexChildChild, PreschoolChinaFemaleGlycated HemoglobinHumansInfantInsulinInsulin ResistanceMaleNon-alcoholic Fatty Liver DiseaseBlood GlucoseGlycated HemoglobinInsulin

Identifiers

PMID31008924
PMCPMC6494399
OpenAlexW2938079283

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.