ArticleThe Journal of international medical research2021
Identification of predictors of the ovarian response to clomiphene citrate in infertile women with polycystic ovary syndrome: a prospective cohort study.
Article in The Journal of international medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- Identification of predictors of the ovarian response to clomiphene citrate in infertile women with polycystic ovary syndrome: AFrontiers in endocrinology · 2026Trial
- Impact of CYP2A6 genetic polymorphism on letrozole efficacy in Iraqi women with polycystic ovary syndrome.Journal of Taibah University Medical Sciences · 2025Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo identify predictors of the ovarian response to clomiphene citrate (CC) in infertile patients with polycystic ovary syndrome (PCOS).
methodsWe performed a prospective cohort study of infertile patients with PCOS. The participants underwent assessments of their physical, endocrine, and metabolic characteristics, and treatment with CC at an initial dose of 50 mg/day and a maximum of 100 mg/day between days 3 and 7 of their menstrual cycles. Participants who ovulated were identified as responders and those who did not as non-responders.
resultsOf the 72 participants, 48 (66.7%) were identified as responders and 24 as non-responders. Sex hormone-binding globulin (SHBG) (odds ratio 1.022, 95% confidence interval: 1.000-1.045) was found to be associated with the ovarian response to CC using logistic multivariate regression analysis. Receiver operating characteristic analysis also showed that SHBG was a significant predictor of the response to CC (area under the curve 0.799).
conclusionWe have shown that SHBG is the best prognostic indicator of an ovulatory response to CC. However, larger prospective studies, in which more variables are assessed, are required to confirm this finding and to identify appropriate cut-off values.
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