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Prognosis-based management of unexplained infertility-why not?

Laxmi ShingshettyRui WangQian FengAbha MaheshwariBen-Willem J Mol
Published in: Human reproduction open (2024)
Up to a half of couples seeking medical assistance for infertility are diagnosed with unexplained infertility, characterized by normal ovulation, tubal patency, and semen analysis results. This condition presents a challenge in determining the optimal treatment approach. Available treatments include IUI and IVF, but guidelines vary on when to offer each. Prognosis-based management is identified as a research priority, and various prediction models have been developed to guide treatment decisions. Prognostic factors include female age, duration of subfertility, and sperm parameters, among others. Prognosis-based strategies can enhance cost-effectiveness, safety, and patient outcomes, offering less invasive options to those with good prognoses and more aggressive interventions to those with poor prognoses. However, there is a gap between research evidence and its clinical application. In this article, we discuss the application of prognosis-based management in the context of unexplained infertility, highlighting its potential to improve clinical decision-making and patient outcomes.
Keyphrases
  • polycystic ovary syndrome
  • prognostic factors
  • decision making
  • healthcare
  • physical activity
  • type diabetes
  • combination therapy
  • replacement therapy
  • data analysis