Evidence map›Paper›PMID 36627501›Full record

ArticleLa Radiologia medica2023

Assessment of hepatic fat content and prediction of myocardial fibrosis in athletes by using proton density fat fraction sequence.

Tao Liu, Ping Dong, Jin-Rong Zhou, Jing Chen, Qian-Feng Luo, Shuang Long, Jia-Li Li, Dong Chen, Yuan-Sheng Li

Open access · hybridAbstract read
In one paragraph

Article in La Radiologia medica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Impact of Myocardial Fibrosis in Endurance Athletes: A Systematic Review.Heart views : the official journal of the Gulf Heart Association
    Review
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 2 institutions in 1 country.

Tao Liu *Department of Radiology, The Affiliated Hospital of Southwest Medical University, 25# Tai Ping Street, Luzhou, 646000, Sichuan, China.
Ping Dong *Department of Radiology, The Affiliated Hospital of Southwest Medical University, 25# Tai Ping Street, Luzhou, 646000, Sichuan, China.
Jin-Rong ZhouDepartment of Radiology, The Affiliated Hospital of Southwest Medical University, 25# Tai Ping Street, Luzhou, 646000, Sichuan, China.
Jing ChenDepartment of Radiology, The Affiliated Hospital of Southwest Medical University, 25# Tai Ping Street, Luzhou, 646000, Sichuan, China. yzqdcj@126.com.ORCID http://orcid.org/0000-0002-7200-4081
Qian-Feng LuoDepartment of Radiology, The Affiliated Hospital of Southwest Medical University, 25# Tai Ping Street, Luzhou, 646000, Sichuan, China.
Shuang LongDepartment of Radiology, The Affiliated Hospital of Southwest Medical University, 25# Tai Ping Street, Luzhou, 646000, Sichuan, China.
Jia-Li LiDepartment of Radiology, The Affiliated Hospital of Southwest Medical University, 25# Tai Ping Street, Luzhou, 646000, Sichuan, China.
Dong ChenDepartment of Radiology, The Affiliated Hospital of Southwest Medical University, 25# Tai Ping Street, Luzhou, 646000, Sichuan, China.
Yuan-Sheng LiSchool of Public Health, Southwest Medical University, No.1, Section 1, Xianglin Road, Longmatan District, Luzhou, 646000, Sichuan, China.
Affiliated Hospital of Southwest Medical University · CNSouthwest Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo explore the characteristics of the hepatic fat content in athletes, and predict late gadolinium enhancement (LGE) based on magnetic resonance imaging-proton density fat fraction (MRI-PDFF). MATERIAL AND

methodsFrom March 2020 to March 2021, 233 amateur athletes and 42 healthy sedentary controls were prospectively recruited. The liver fat content of four regions of interest (ROIs 1-4), the mean liver fat fraction (FF), cardiac function, and myocardium LGE were recorded, respectively. The values of ROIs 1-4 and FF were compared between athletes and controls. According to the liver fat content threshold for distinguishing athletes and controls, the cutoff total exercise time that induced a change in liver fat was obtained. The correlations among the liver fat content, cardiac function, and other parameters were analyzed. Moreover, the liver fat content was used to predict myocardium LGE by logistic regression.

resultsThere were significant differences for the values of ROI 1, ROI 3, ROI 4, and FF between athletes and controls (allp< 0.05). The cutoff total exercise time for inducing a change in the liver fat content was 1680 h (area under the curve [AUC] = 0.593, specificity = 83.3,p< 0.05). Blood indexes, cardiac function, and basic clinical parameters were related to liver fat content (allp< 0.05). The prediction model for LGE had an AUC value of 0.829 for the receiver operator characteristic curve.

conclusionMRI-PDFF could assess liver fat content and predict cardiac fibrosis in athletes for risk stratification and follow-up.

Indexed as

Contrast MediaProtonsAthletesFibrosisGadoliniumHumansLiverMagnetic Resonance ImagingContrast MediaGadoliniumProtonsExerciseLate gadolinium enhancementLiver fat contentMRI-PDFFRisk factor

Identifiers

PMID36627501
PMCPMC9931772
OpenAlexW4315477029

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.