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OvaRePred: Online tool for predicting the age of fertility milestones.

作者信息

Xu Huiyu, Feng Guoshuang, Yang Rui, Li Rong, Qiao Jie

机构信息

Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China.

National Clinical Research Center for Obstetrics and Gynecology, Beijing 100191, China.

出版信息

Innovation (Camb). 2023 Aug 1;4(5):100490. doi: 10.1016/j.xinn.2023.100490. eCollection 2023 Sep 11.

DOI:10.1016/j.xinn.2023.100490
PMID:37649732
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10462873/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a677/10462873/88683789e541/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a677/10462873/88683789e541/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a677/10462873/88683789e541/gr1.jpg

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An online tool for predicting ovarian reserve based on AMH level and age: A retrospective cohort study.基于 AMH 水平和年龄预测卵巢储备的在线工具：一项回顾性队列研究。
Front Endocrinol (Lausanne). 2022 Jul 22;13:946123. doi: 10.3389/fendo.2022.946123. eCollection 2022.
2
A Model for Predicting Polycystic Ovary Syndrome Using Serum AMH, Menstrual Cycle Length, Body Mass Index and Serum Androstenedione in Chinese Reproductive Aged Population: A Retrospective Cohort Study.基于中国育龄人群的血清抗苗勒管激素、月经周期长度、体重指数和血清雄烯二酮预测多囊卵巢综合征的模型：一项回顾性队列研究。
Front Endocrinol (Lausanne). 2022 Mar 17;13:821368. doi: 10.3389/fendo.2022.821368. eCollection 2022.
3
An Ovarian Reserve Assessment Model Based on Anti-Müllerian Hormone Levels, Follicle-Stimulating Hormone Levels, and Age: Retrospective Cohort Study.
基于抗苗勒管激素水平、卵泡刺激素水平和年龄的卵巢储备评估模型：回顾性队列研究。
J Med Internet Res. 2020 Sep 21;22(9):e19096. doi: 10.2196/19096.
4
A novel mathematical model of true ovarian reserve assessment based on predicted probability of poor ovarian response: a retrospective cohort study.一种基于不良卵巢反应预测概率的新型卵巢储备评估的数学模型：一项回顾性队列研究。
J Assist Reprod Genet. 2020 Apr;37(4):963-972. doi: 10.1007/s10815-020-01700-1. Epub 2020 Apr 21.
5
The variability of female reproductive ageing.女性生殖衰老的变异性。
Hum Reprod Update. 2002 Mar-Apr;8(2):141-54. doi: 10.1093/humupd/8.2.141.