Publication Name	World Journal of Cardiology
Manuscript ID	88819
Country	China

Received	2023-10-10 17:08
Peer-Review Started	2023-10-10 17:09
To Make the First Decision
Return for Revision	2023-12-18 23:59
Revised	2024-01-04 07:45
Second Decision	2024-02-02 02:42
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-02-02 06:48
Articles in Press	2024-02-02 06:48
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-02-19 02:39
Publish the Manuscript Online	2024-02-21 02:50

ISSN	1949-8462 (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) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
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Category	Cardiac & Cardiovascular Systems
Manuscript Type	Retrospective Cohort Study
Article Title	Development and validation of a nomogram model for predicting the risk of pre-hospital delay in patients with acute myocardial infarction
Manuscript Source	Unsolicited Manuscript
All Author List	Jiao-Yu Cao, Li-Xiang Zhang and Xiao-Juan Zhou
Funding Agency and Grant Number
Corresponding Author	Jiao-Yu Cao, MMed, Chief Nurse, Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, No. 1 Swan Lake Road, Hefei 230001, Anhui Province, China. caojiaoyu@126.com
Key Words	Pre-hospital delay; Acute myocardial infarction; Risk prediction; Nomogram
Core Tip	The study developed a nomogram model to predict pre-hospital delay (PHD) in acute myocardial infarction (AMI) patients. Independent risk factors for PHD were identified, and a nomogram was constructed using these predictors. The model showed good discriminatory ability and satisfactory calibration. This nomogram can effectively identify PHD risk in AMI patients.
Publish Date	2024-02-21 02:50
Citation	Cao JY, Zhang LX, Zhou XJ. Development and validation of a nomogram model for predicting the risk of pre-hospital delay in patients with acute myocardial infarction. World J Cardiol 2024; 16(2): 80-91
URL	https://www.wjgnet.com/1949-8462/full/v16/i2/80.htm
DOI	https://dx.doi.org/10.4330/wjc.v16.i2.80

Full Article (PDF)	WJC-16-80-with-cover.pdf
Full Article (Word)	WJC-16-80.docx
STROBE Statement	88819-STROBE statement.pdf
Manuscript File	88819_Auto_Edited-LJH-YJP.docx
Answering Reviewers	88819-Answering reviewers.pdf
Audio Core Tip	88819-Audio core tip.aac
Biostatistics Review Certificate	88819-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form	88819-Conflict-of-interest statement.pdf
Copyright License Agreement	88819-Copyright license agreement.pdf
Institutional Review Board Approval Form or Document	88819-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate	88819-Language certificate.pdf
Peer-review Report	88819-Peer-review(s).pdf
Scientific Misconduct Check	88819-Bing-Liu JH-2.png
Scientific Misconduct Check	88819-CrossCheck.png
Scientific Editor Work List	88819-Scientific editor work list.pdf
CrossCheck Report	88819-CrossCheck report.pdf