Interdisciplinary fact-based practice: obstetrics, gynaecology and andrology – a common language of data and solutions

This issue focuses on developing a unified, interdisciplinary approach to obstetrics, gynaecology, andrology and reproductive medicine based on objective data. The aim is to move from making decisions based on experience to using targeted, guided strategies based on early biomarkers and standardized algorithms. The review highlights studies demonstrating a pragmatic approach to life-threatening obstetric conditions, such as the management of coagulopathy in postpartum haemorrhage with a focus on the timely administration of tranexamic acid and the appropriate replacement of fibrinogen. It also covers new methods for combating postpartum infection and the early sepsis prediction. In gynaecological practice, the importance of minimal technological improvements (e.g. local antibiotic therapy during laparoscopy) in improving reproductive outcomes is emphasized, as is the relevance of organ-preserving surgery. There is a particular focus on structuring diagnostic pathways in andrology for azoospermia and oligozoospermia, where integrating spermiological, hormonal, ultrasound and genetic data enables differentiation of pathogenesis and development of personalized treatment strategies ranging from drug therapy to assisted reproductive technologies. The article also discusses the progressive integration of molecular markers (e.g. nectin-4 and components of extracellular vesicles) into clinical practice for diagnosing and prognosing reproductive system cancers, emphasizing the need for standardized analysis methods. The discussion of patient management strategies for menopausal women takes an interdisciplinary approach, requiring collaboration between gynaecologists, endocrinologists and dentists, and emphasizing the importance of preliminary hormonal correction prior to dental implantation. Taken together, the materials provide a comprehensive picture of the contemporary transformation of clinical practice, based on evidence-driven interdisciplinary dialogue.