dc.creatorPolesel, Daniel Ninello [UNIFESP]
dc.creatorNozoe, Karen T. [UNIFESP]
dc.creatorSanchez, Zila M. [UNIFESP]
dc.creatorPrado, Mariangela C. O. [UNIFESP]
dc.creatorBittencourt, Lia R. [UNIFESP]
dc.creatorTufik, Sergio [UNIFESP]
dc.creatorAndersen, Monica L. [UNIFESP]
dc.creatorHachul, Helena [UNIFESP]
dc.date.accessioned2020-09-01T13:21:09Z
dc.date.accessioned2022-10-07T21:23:06Z
dc.date.available2020-09-01T13:21:09Z
dc.date.available2022-10-07T21:23:06Z
dc.date.created2020-09-01T13:21:09Z
dc.date.issued2017
dc.identifierJournal Of Gynecologic Surgery. New Rochelle, v. 33, n. 6, p. 236-242, 2017.
dc.identifier1042-4067
dc.identifierhttps://repositorio.unifesp.br/handle/11600/58095
dc.identifier10.1089/gyn.2017.0040
dc.identifierWOS:000417632900004
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/4029046
dc.description.abstractObjective: The aim of this study was to examine the cut-off value of parameters related to menopause in women recruited through the Sao Paulo Epidemiologic Sleep Study. Materials and Methods: A household survey sample of 397 women was submitted to biochemical analysis after overnight fasting for determination of follicle-stimulating hormone (FSH), luteinizing hormone (LH), and estradiol levels. Volunteers were randomly selected to represent the population of SAo Paulo according to gender, age, and socioeconomic status. The cut-off values were determined from the receiver operating characteristic curve and by determining the accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the parameters. Results: FSH, LH, and age provided >90% accuracy for defining the menopause group. Classification of menopause according to FSH level provided the highest level of accuracy (97.0%) based on a cut-off value of 21 mIU/mL as a classifier. Conclusions: The cut-off value for FSH alone was able to distinguish with higher efficiency premenopause and postmenopause groups. FSH levels provided greater accuracy in the diagnosis of natural menopause, compared to the other parameters.
dc.languageeng
dc.publisherMary Ann Liebert, Inc
dc.relationJournal Of Gynecologic Surgery
dc.rightsAcesso restrito
dc.subjectmenopause
dc.subjectsleep
dc.subjectfollicle-stimulating hormone
dc.subjectaging
dc.subjecthealth
dc.subjectwomen
dc.titleThe Follicle-Stimulating Hormone as Best Classifier for Diagnosis of Natural Menopause
dc.typeArtigo


Este ítem pertenece a la siguiente institución