Xu SH, Wu F, Guo LH, Zhang WB, Xu HX. Liver fibrosis index-based nomograms for identifying esophageal varices in patients with chronic hepatitis B related cirrhosis. World J Gastroenterol 2020; 26(45): 7204-7221 [PMID: 33362377 DOI: 10.3748/wjg.v26.i45.7204]
Corresponding Author of This Article
Hui-Xiong Xu, PhD, Chief Physician, Professor, Department of Medical Ultrasound, Shanghai Tenth People’s Hospital of Nanjing Medical University, No. 301 Yanchang Middle Road, Jing’an District, Shanghai 200072, China. xuhuixiong@126.com
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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/
Shi-Hao Xu, Le-Hang Guo, Wei-Bing Zhang, Hui-Xiong Xu, Department of Medical Ultrasound, Shanghai Tenth People’s Hospital of Nanjing Medical University, Shanghai 200072, China
Shi-Hao Xu, Department of Ultrasonography, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
Fang Wu, Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
Author contributions: Xu SH and Wu F carried out the ultrasonography and endoscopy in the study, performed the data collection, and drafted the manuscript; Guo LH and Zhang WB helped to draft the manuscript and performed the statistical analysis; Xu HX conceived the study, participated in its coordination, and gave final approval of the version to be published; all authors read and approved the final manuscript.
Supported byThe Natural Science Foundation of Zhejiang Province, China, No. LY18H030011.
Institutional review board statement: The study was reviewed and approved (approval No. 2016-184) by the Ethics Committee of The First Affiliated Hospital of Wenzhou Medical University.
Informed consent statement: Informed written consent was obtained from the patients prior to the study.
Conflict-of-interest statement: We have no financial relationships to disclose.
Data sharing statement: No additional data are available.
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/
Corresponding author: Hui-Xiong Xu, PhD, Chief Physician, Professor, Department of Medical Ultrasound, Shanghai Tenth People’s Hospital of Nanjing Medical University, No. 301 Yanchang Middle Road, Jing’an District, Shanghai 200072, China. xuhuixiong@126.com
Received: September 2, 2020 Peer-review started: September 2, 2020 First decision: September 30, 2020 Revised: October 7, 2020 Accepted: November 2, 2020 Article in press: November 2, 2020 Published online: December 7, 2020 Processing time: 93 Days and 4.8 Hours
Core Tip
Core Tip: In this study, we constructed two liver fibrosis index (LFI)-based nomograms for predicting the risk and severity of esophageal varices (EV) in patients with chronic hepatitis B related cirrhosis, through incorporating the clinical and ultrasonic variables screened out by univariate and multivariate logistic regression analyses. The nomograms were well-calibrated and had a good discriminative ability that was validated by receiver operating characteristic curve, concordance index, and decision curve analyses. Both nomograms were more efficient than LFI, splenic portal index, ratio of platelet count to spleen diameter, King’s score, and Lok index in the training and validation cohorts, and can be clinically used for diagnosing EV and making clinical interventions.
