Suppr超能文献

FIGO 排卵障碍分类系统。

The FIGO ovulatory disorders classification system.

机构信息

The University of California, Los Angeles, California, USA.

The University of Leeds, Leeds, UK.

出版信息

Int J Gynaecol Obstet. 2022 Oct;159(1):1-20. doi: 10.1002/ijgo.14331. Epub 2022 Aug 19.

Abstract

Ovulatory disorders are common causes of amenorrhea, abnormal uterine bleeding, and infertility, and are frequent manifestations of polycystic ovary syndrome (PCOS). There are many potential causes and contributors to ovulatory dysfunction that challenge clinicians, trainees, educators, and those who perform basic, translational, clinical, and epidemiological research. Similarly, therapeutic approaches to ovulatory dysfunction potentially involve a spectrum of lifestyle, psychological, medical, and procedural interventions. Collaborative research, effective education, and consistent clinical care remain challenged by the absence of a consensus comprehensive system for classification of these disorders. The existing and complex system, attributed to WHO, was developed more than three decades ago and did not consider more than 30 years of research into these disorders in addition to technical advances in imaging and endocrinology. This manuscript describes the development of a new classification of ovulatory disorders performed under the aegis of the International Federation of Gynecology and Obstetrics (FIGO) and conducted using a rigorously applied Delphi process. The stakeholder organizations and individuals who participated in this process comprised specialty journals, experts at large, national, specialty obstetrical and gynecological societies, and informed lay representatives. After two face-to-face meetings and five Delphi rounds, the result is a three-level multi-tiered system. The system is applied after a preliminary assessment identifies the presence of an ovulatory disorder. The primary level of the system is based on an anatomic model (Hypothalamus, Pituitary, Ovary) that is completed with a separate category for PCOS. This core component of the system is easily remembered using the acronym HyPO-P. Each anatomic category is stratified in the second layer of the system to provide granularity for investigators, clinicians, and trainees using the "GAIN-FIT-PIE" mnemonic (Genetic, Autoimmune, Iatrogenic, Neoplasm; Functional, Infectious and Inflammatory, Trauma and Vascular; Physiological, Idiopathic, Endocrine). The tertiary level allows for specific diagnostic entities. It is anticipated that, if widely adopted, this system will facilitate education, clinical care, and the design and interpretation of research in a fashion that better informs progress in this field. Integral to the deployment of this system is a periodic process of reevaluation and appropriate revision, reflecting an improved understanding of this collection of disorders.

摘要

排卵障碍是闭经、异常子宫出血和不孕的常见原因,也是多囊卵巢综合征(PCOS)的常见表现。排卵功能障碍有许多潜在的原因和促成因素,这给临床医生、学员、教育工作者以及从事基础、转化、临床和流行病学研究的人员带来了挑战。同样,排卵功能障碍的治疗方法可能涉及一系列生活方式、心理、医疗和程序干预。由于缺乏一个全面的分类共识系统,协作研究、有效的教育和一致的临床护理仍然面临挑战。现有的复杂系统是由世界卫生组织(WHO)制定的,该系统是在三十多年前制定的,没有考虑到这些疾病的 30 多年研究以及影像学和内分泌学的技术进步。本文描述了在国际妇产科联合会(FIGO)的主持下,使用严格应用德尔菲法开发的排卵障碍新分类法。参与这一过程的利益相关组织和个人包括专业期刊、广泛的专家、国家妇产科专业协会以及知情的非专业代表。经过两次面对面会议和五轮德尔菲调查,结果是一个三级多层次系统。该系统在初步评估确定存在排卵障碍后应用。系统的主要层次基于一个解剖模型(下丘脑、垂体、卵巢),并为 PCOS 单独设立一个类别。该系统的核心部分可以使用缩写 HyPO-P 轻松记住。每个解剖类别在系统的第二层进行分层,为研究人员、临床医生和学员提供使用“GAIN-FIT-PIE”记忆术(遗传、自身免疫、医源性、肿瘤;功能、感染和炎症、创伤和血管;生理、特发性、内分泌)的粒度。第三层允许特定的诊断实体。如果得到广泛采用,预计该系统将以更好地告知该领域进展的方式促进教育、临床护理以及研究的设计和解释。部署该系统的一个重要组成部分是定期进行评估和适当修订,以反映对这些疾病的认识的提高。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验