BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
11/13/2020 6:52:32 AM | Browse: 1395 | Download: 3035
 |
Received |
|
2020-09-05 15:40 |
 |
Peer-Review Started |
|
2020-09-05 15:41 |
 |
First Decision by Editorial Office Director |
|
2020-09-30 00:14 |
 |
Return for Revision |
|
2020-09-30 00:14 |
 |
Revised |
|
2020-10-09 17:57 |
 |
Publication Fee Transferred |
|
|
 |
Second Decision by Editor |
|
2020-10-22 12:11 |
 |
Second Decision by Editor-in-Chief |
|
|
 |
Final Decision by Editorial Office Director |
|
2020-10-26 04:56 |
 |
Articles in Press |
|
2020-10-26 04:56 |
 |
Edit the Manuscript by Language Editor |
|
|
 |
Typeset the Manuscript |
|
2020-11-11 10:27 |
 |
Publish the Manuscript Online |
|
2020-11-13 06:52 |
| ISSN |
1007-9327 (print) and 2219-2840 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Observational Study |
| Article Title |
Estimation of visceral fat is useful for the diagnosis of significant fibrosis in patients with non-alcoholic fatty liver disease
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Marta Hernández-Conde, Elba Llop, Carlos Fernández Carrillo, Beatriz Tormo, Javier Abad, Luis Rodriguez, Christie Perelló, Marta López Gomez, José Luis Martínez-Porras, Natalia Fernández Puga, Maria Trapero-Marugan, Enrique Fraga, Carlos Ferre Aracil and José Luis Calleja Panero |
| ORCID |
|
| Funding Agency and Grant Number |
|
| Corresponding Author |
José Luis Calleja Panero, PhD, Chairman, Chief Doctor, Senior Researcher, Gastroenterology and Hepatology Department, IDIPHISA, Hospital Universitario Puerta de Hierro-Majadahonda, C/Joaquín Rodrigo, 2, Madrid 28222, Spain. joseluis.calleja@uam.es |
| Key Words |
Non-alcoholic fatty liver disease; Visceral fat; Liver fibrosis; Bioimpedanciometry; Metabolic syndrome; Obesity |
| Core Tip |
Obesity is a risk factor for non-alcoholic fatty liver disease (NAFLD), although obese patients with NAFLD do not always develop significant fibrosis. The distribution of body fat could predict the risk of NAFLD progression. Our study demonstrates that bioimpedanciometry-estimated visceral fat is useful for detecting advanced NAFLD. Our proposed simple method would allow referral to specialized care in a wide variety of resource-limited settings. Future studies will aim at validating this tool in larger prospective cohorts. |
| Publish Date |
2020-11-13 06:52 |
| Citation |
Hernández-Conde M, Llop E, Fernández Carrillo C, Tormo B, Abad J, Rodriguez L, Perelló C, López Gomez M, Martínez-Porras JL, Fernández Puga N, Trapero-Marugan M, Fraga E, Ferre Aracil C, Calleja Panero JL. Estimation of visceral fat is useful for the diagnosis of significant fibrosis in patients with non-alcoholic fatty liver disease. World J Gastroenterol 2020; 26(42): 6658-6668
|
| URL |
https://www.wjgnet.com/1007-9327/full/v26/i42/6658.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v26.i42.6658 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.