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An algorithm to personalise the diagnosis of recurrent implantation failure based on theoretical cumulative implantation rate.
Rozen, Genia; Rogers, Peter; Teh, Wan Tinn; Stern, Catharyn J; Polyakov, Alex.
Afiliación
  • Rozen G; Reproductive Services, Royal Women's Hospital, Parkville, VIC, Australia.
  • Rogers P; Department of Obstetrics and Gynaecology, University of Melbourne, Gynaecology Research Centre, Royal Women's Hospital, Parkville, VIC, Australia.
  • Teh WT; Melbourne IVF, East Melbourne, VIC, Australia.
  • Stern CJ; Department of Obstetrics and Gynaecology, University of Melbourne, Gynaecology Research Centre, Royal Women's Hospital, Parkville, VIC, Australia.
  • Polyakov A; Reproductive Services, Royal Women's Hospital, Parkville, VIC, Australia.
Hum Reprod ; 36(6): 1463-1468, 2021 05 17.
Article en En | MEDLINE | ID: mdl-33904909
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Implantación del Embrión / Algoritmos Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Female / Humans Idioma: En Revista: Hum Reprod Asunto de la revista: MEDICINA REPRODUTIVA Año: 2021 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Implantación del Embrión / Algoritmos Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Female / Humans Idioma: En Revista: Hum Reprod Asunto de la revista: MEDICINA REPRODUTIVA Año: 2021 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Reino Unido