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基于理论累积种植率的个体化复发性种植失败诊断算法。

An algorithm to personalise the diagnosis of recurrent implantation failure based on theoretical cumulative implantation rate.

机构信息

Reproductive Services, Royal Women's Hospital, Parkville, VIC, Australia.

Department of Obstetrics and Gynaecology, University of Melbourne, Gynaecology Research Centre, Royal Women's Hospital, Parkville, VIC, Australia.

出版信息

Hum Reprod. 2021 May 17;36(6):1463-1468. doi: 10.1093/humrep/deab091.

Abstract

Recurrent implantation failure (RIF) is an imprecisely defined disorder lacking a robust scientific basis. The incomplete understanding of RIF provides significant diagnostic and therapeutic challenges, and a better understanding of the underlying issues is necessary to improve outcomes. We propose a novel concept termed 'Theoretical Cumulative Implantation Rate', the calculation of which is based on objective data, to define whether a patient should be diagnosed with RIF. An updated definition to assist with patient counselling and planning research studies, which is more precise and standardised, is well overdue.

摘要

反复着床失败(RIF)是一种定义不精确、缺乏坚实科学基础的疾病。对 RIF 的不完全理解带来了重大的诊断和治疗挑战,需要更好地了解潜在问题,以改善结果。我们提出了一个新的概念,称为“理论累积着床率”,其计算基于客观数据,用于定义患者是否应被诊断为 RIF。一个更精确和标准化的更新定义,以协助患者咨询和研究计划,早已是当务之急。

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