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Related Experiment Videos

Diagnostics in assisted human reproduction.

Juan Manuel Montoya1, Alejandra Bernal, Claudia Borrero

  • 1Unidad de Fertilidad del Country, Conceptum, Bogotá, Colombia Carrera 16 #82-29 Piso 7, Italy. montoyaivf@hotmail.com

Reproductive Biomedicine Online
|November 7, 2002
PubMed
Summary
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Infertility affects millions globally, with female factors contributing significantly. This review updates diagnostic procedures for infertility, emphasizing evidence-based medicine and categorizing tests by their correlation with pregnancy success.

Area of Science:

  • Reproductive Biology
  • Gynecology
  • Urology

Background:

  • Infertility impacts 7-15% of reproductive-age couples worldwide, with female factors accounting for 40-60% of cases.
  • Assisted reproduction technologies have advanced reproductive biology, necessitating updated diagnostic approaches.
  • Evidence-based medicine provides a framework for evaluating and utilizing infertility diagnostic tests.

Purpose of the Study:

  • To review and update the diagnostic procedures for investigating infertility.
  • To categorize infertility tests based on their established correlation with pregnancy.
  • To guide clinicians in selecting appropriate and cost-effective diagnostic methods.

Main Methods:

  • Categorization of infertility diagnostic tests into three groups based on correlation with pregnancy.

Related Experiment Videos

  • Review of established tests like semen analysis, hysterosalpingography, and ovulation detection.
  • Inclusion of tests with variable correlation (e.g., sperm penetration assays, antibody detection) and those with no correlation (e.g., endometrial biopsy, varicocele detection).

    • Main Results:

    • Tests are classified by their established correlation with pregnancy outcomes.
    • Category 1 tests (e.g., semen analysis, tubal patency) show a well-established correlation.
    • Category 2 and 3 tests have variable or no consistent correlation with pregnancy, respectively, requiring careful interpretation.

    Conclusions:

    • A structured approach to infertility diagnostics is crucial for effective patient management.
    • Understanding the correlation of tests with pregnancy outcomes aids in avoiding unnecessary procedures and costs.
    • This review provides an updated guide to infertility investigation, promoting evidence-based practice.