Evidence map›Paper›PMID 25343445›Full record

ArticlePloS one2014

MR quantification of total liver fat in patients with impaired glucose tolerance and healthy subjects.

Zhi Dong, Yanji Luo, Zhongwei Zhang, Huasong Cai, Yanbing Li, Tao Chan, Ling Wu, Zi-Ping Li, Shi-Ting Feng

Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03038620 (Impact of Liraglutide 3.0 on Body Fat Distribution, Visceral Adiposity, and Cardiometabolic Risk Markers In Overweight and Obese Adults at High Risk for Cardiovascular Disease), which is not on this map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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.

NCT03038620 phase4completedstarted 2017, after this paper: background citation

Impact of Liraglutide 3.0 on Body Fat Distribution, Visceral Adiposity, and Cardiometabolic Risk Markers In Overweight and Obese Adults at High Risk for Cardiovascular Disease

Ran2017Enrolled235Registered outcomes37Posted comparisons0ConditionsCardiovascular Diseases, Fat Disorder, Obesity, VisceralArmsliraglutide, Placebo
Open the trial in the graph
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Zhi DongDepartment of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Yanji LuoDepartment of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Zhongwei ZhangDepartment of Radiology, The University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.
Huasong CaiDepartment of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Yanbing LiDepartment of Endocrinology and Diabetes Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Tao ChanMedical Imaging Department, Union Hospital, Hong Kong.
Ling WuDepartment of Radiology, Kiang Wu Hospital, Macao.
Zi-Ping LiDepartment of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Shi-Ting FengDepartment of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the correlations between liver fat content and clinical index in patients with impaired glucose tolerance (IGT) and healthy subjects. MATERIALS AND

methods56 subjects were enrolled and each of them underwent upper-abdominal MRI examination that involved a T1 VIBE Dixon sequence. 14 was clinically diagnosed with IGT (collectively as IGT group ) while 42 showed normal glucose tolerance,(collectively as NGT group). NGT group was further divided into NGTFat (BMI≥25, 18 subjects) and NGTLean (BMI<25, 24 subjects). The total liver fat contents was measured and compared with clinical findings and laboratory results in order to determine statistical correlations between these parameters. Differences among IGT, NGTFat and NGTLean groups were evaluated.

resultsFor all the subjects, fat volume fractions (FVFs) ranged from 4.2% to 24.2%, positive correlations was observed with BMI, waist hip ratio(WHR), low density lipoprotein(LDL), fasting plasma insulin(FPI), homeostasis model assessment insulin resistance (HOMA-IR) and homeostasis model assessment β(HOMAβ). FVFs of IGT group (p = 0.004) and NGTFat group (p = 0.006) were significantly higher than those of NGTLean group.

conclusionsPeople with higher BMI, WHR and LDL levels tend to have higher liver fat content. Patients with BMI≥25 are more likely to develop IGT. Patients with higher FVF showed higher resistance to insulin, thus obtained a higher risk of developing type 2 diabetes mellitus.

Indexed as

AdiposityHealthy VolunteersMagnetic Resonance SpectroscopyFemaleGlucose Tolerance TestHumansLiverMaleMiddle AgedPhantoms, ImagingStatistics, Nonparametric

Identifiers

PMID25343445
PMCPMC4208854

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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.