Publication Name	World Journal of Hepatology
Manuscript ID	29204
Country	Italy

Received	2016-08-02 09:40
Peer-Review Started	2016-08-03 11:58
To Make the First Decision	2016-09-06 11:08
Return for Revision	2016-09-12 16:02
Revised	2016-09-29 00:31
Second Decision	2016-11-17 16:36
Accepted by Journal Editor-in-Chief	2016-11-18 01:02
Accepted by Executive Editor-in-Chief	2016-11-29 09:13
Articles in Press	2016-11-29 09:13
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2016-12-26 13:31
Publish the Manuscript Online	2017-01-06 08:51

ISSN	1948-5182 (online)
Open Access	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/
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Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Drug-induced liver injury: Towards early prediction and risk stratification
Manuscript Source	Invited Manuscript
All Author List	Emanuel Raschi and Fabrizio De Ponti
Funding Agency and Grant Number
Corresponding Author	Fabrizio De Ponti, MD, PhD, Department of Medical and Surgical Sciences, University of Bologna, Via Irnerio, 48, 40126 Bologna, Italy. fabrizio.deponti@unibo.it
Key Words	Hepatotoxicity; Predictivity; Risk assessment; Safety
Core Tip	The interest in drug-induced liver injury (DILI) is growing, especially in 2015-2016, with pioneering studies addressing DILI annotation, i.e., risk stratification of drugs capable of causing liver damage. The latest experiences from worldwide consortia provided pro-mising data, although there is still room for improvement before reaching an algorithm capable of discriminating hepatotoxic from non-hepatotoxic compounds, or at least of classifying high, intermediate and low risk drugs within the same therapeutic class. We should take advantage of integration of real-world data (i.e., registries, healthcare databases, spontaneous reporting systems, literature) with cheminformatics to provide a comprehensive DILI risk score.
Publish Date	2017-01-06 08:51
Citation	Raschi E, De Ponti F. Drug-induced liver injury: Towards early prediction and risk stratification. World J Hepatol 2017; 9(1): 30-37
URL	http://www.wjgnet.com/1948-5182/full/v9/i1/30.htm
DOI	http://dx.doi.org/10.4254/wjh.v9.i1.30

Full Article (PDF)	WJH-9-30.pdf
Full Article (Word)	WJH-9-30.doc
Manuscript File	29204-Review.docx
Answering Reviewers	29204-Answering reviewers.pdf
Audio Core Tip	29204-Audio core tip.mp3
Conflict-of-Interest Disclosure Form	29204-Conflict-of-interest statement.pdf
Copyright License Agreement	29204-Copyright assignment.pdf
Peer-review Report	29204-Peer-review(s).pdf
Journal Editor-in-Chief Review Report	29204-Journal editor-in-chief review report.pdf
Scientific Misconduct Check	29204-Scientific misconduct check.pdf
Scientific Editor Work List	29204-Scientific editor work list.pdf