{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T05:43:24Z","timestamp":1781502204688,"version":"3.54.1"},"reference-count":33,"publisher":"The Endocrine Society","issue":"10","license":[{"start":{"date-parts":[[2020,5,22]],"date-time":"2020-05-22T00:00:00Z","timestamp":1590105600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["1-K24-HD01346"],"award-info":[{"award-number":["1-K24-HD01346"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01-DK073632"],"award-info":[{"award-number":["R01-DK073632"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01-HD29364"],"award-info":[{"award-number":["R01-HD29364"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Helping Hand of Los Angeles, Inc"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Context<\/jats:title>\n                  <jats:p>Epidemiologic studies of polycystic ovary syndrome (PCOS) are limited, especially in populations where diagnostic resources are less available. In these settings, an accurate, low-cost screening tool would be invaluable.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>To test the use of a simple questionnaire to identify women at increased risk for PCOS and androgen excess (AE) disorders.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Study Design<\/jats:title>\n                  <jats:p>Prospective cohort study from 2006\u20132010.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Setting<\/jats:title>\n                  <jats:p>Community-based.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Participants<\/jats:title>\n                  <jats:p>Women aged 14 to 45 years.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Intervention<\/jats:title>\n                  <jats:p>A screening telephone questionnaire consisting of 3 questions was tested, where participants were asked to self-assess the presence\/absence of male-like hair and menstrual irregularity. Participants were then invited to undergo a direct examination, including completing a medical history and undergoing a modified Ferriman-Gallwey (mFG) hirsutism score, ovarian ultrasound, and measurement of circulating total and free testosterone, DHEAS, TSH, prolactin and 17-hydroxyprogesterone levels.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Main Outcome Measure<\/jats:title>\n                  <jats:p>Accuracy of questionnaire in predicting PCOS, AE, and irregular menses.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Participants with self-assessed irregular menses and\/or excess hair were labeled \u201cPossible Androgen Excess (Poss-AE)\u201d and those self-assessed with regular menses and no excess hair were labeled \u201cProbable Non-Androgen Excess (Non-AE).\u201d The study was completed in 206\/298 (69%) of the Poss-AE and in 139\/192 (73%) of the Non-AE. Of Poss-AE and Non-AE subjects, 82.5% and 15.8%, respextively, presented with PCOS. The calculated sensitivity, specificity, positive predictive value, and negative predictive value of the 3-question telephone survey to predict PCOS was 89%, 78%, 85%, and 83%, respectively.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>A simple telephone questionnaire, based on self-assessment of body hair and menstrual status, can be used with a high predictive value to identify women at risk for AE disorders, including PCOS, and to detect healthy controls. This approach could be an important tool for needed epidemiologic studies.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1210\/clinem\/dgz264","type":"journal-article","created":{"date-parts":[[2020,5,22]],"date-time":"2020-05-22T17:44:53Z","timestamp":1590169493000},"page":"e3688-e3695","source":"Crossref","is-referenced-by-count":23,"title":["Screening for Androgen Excess in Women: Accuracy of Self-Reported Excess Body Hair Growth and Menstrual Dysfunction"],"prefix":"10.1210","volume":"105","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9423-6027","authenticated-orcid":false,"given":"Jessica L","family":"Chan","sequence":"first","affiliation":[{"name":"Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marita","family":"Pall","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, 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