Using advanced analytics to help identify women who are more likely to have a severe subjective experience of vulvovaginal atrophy: a modeling study.
Rossella Elena NappiNicholas PanaySantiago PalaciosVivek BanerjiGenevieve HallMartire ParticcoDan AtkinsPublished in: Gynecological endocrinology : the official journal of the International Society of Gynecological Endocrinology (2023)
Non-clinical factors can contribute significantly to the overall VVA burden.Questions used in developing the composite model could form the basis of an instrument to help screen women prior to clinical consultation and improve VVA management.