Copyright
©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Dec 16, 2021; 9(35): 10805-10815
Published online Dec 16, 2021. doi: 10.12998/wjcc.v9.i35.10805
Published online Dec 16, 2021. doi: 10.12998/wjcc.v9.i35.10805
Blood tests for prediction of deep endometriosis: A case-control study
Zheng-Yun Chen, Li-Feng Zhang, Yong-Qing Zhang, Yong Zhou, Xiao-Yong Li, Xiu-Feng Huang, Department of Gynecology, Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou 310006, Zhejiang Province, China
Author contributions: Chen ZY participated in the design of this study, drafted the manuscript, and performed the statistical analysis; Zhang LF, Zhang YQ, Zhou Y, and Li XY carried out the study and collected data; Huang XF participated in the design of this study and made critical revision related to the important intellectual content of the manuscript; All authors read and approved the final manuscript.
Supported by Zhejiang National Science Foundation , No. LGF20H040010 and No. LY17H040004 ; and Zhejiang Bureau of Traditional Chinese Medicine , No. 2017ZA092 .
Institutional review board statement: The study was reviewed and approved by the Institutional Ethics Committee at Women’s Hospital School of Medicine, Zhejiang University, No. IRB-20200049-R.
Informed consent statement: The data are anonymous, and the requirement for informed consent was therefore waived.
Conflict-of-interest statement: The authors declare that they have no conflicting interests.
Data sharing statement: Statistical code, and data set available from the corresponding author at (email: huangxiufeng@zju.edu.cn). Participants gave informed consent for data sharing but the presented data are anonymized and risk of identification is low.
STROBE statement: The authors have read the STROBE Statement—checklist of items, and the manuscript was prepared and revised according to the STROBE Statement—checklist of items.
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: Xiu-Feng Huang, MD, Chief Doctor, Department of Gynecology, Women’s Hospital, School of Medicine, Zhejiang University, No. 1 Xueshi Road, Hangzhou 310006, Zhejiang Province, China. huangxiufeng@zju.edu.cn
Received: June 1, 2021
Peer-review started: June 1, 2021
First decision: June 25, 2021
Revised: June 26, 2021
Accepted: September 15, 2021
Article in press: September 15, 2021
Published online: December 16, 2021
Processing time: 191 Days and 23.6 Hours
Peer-review started: June 1, 2021
First decision: June 25, 2021
Revised: June 26, 2021
Accepted: September 15, 2021
Article in press: September 15, 2021
Published online: December 16, 2021
Processing time: 191 Days and 23.6 Hours
Core Tip
Core Tip: Deep endometriosis (DE) is the most aggressive subtype of endometriosis. Prompt diagnosis of DE is challenging, and developing new approaches for DE prediction before surgical intervention is of key importance for controlling the disease. Herein, we performed a case-control study to evaluate the role of plasma hemostatic parameters and inflammatory indices in predicting DE. Our results revealed that the combination of fibrinogen and hemoglobin had a good predictive value for DE before surgical intervention.