Predictive value of androgens and multivariate model for poor ovarian response

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prediction and diagnosis of poor ovarian response: the dilemma

failure to respond adequately to standard protocols and to recruit adequate follicles is called ‘poor response’. this results in decreased oocyte production, cycle cancellation and, overall, is associated with a significantly diminished probability of pregnancy. it has been shown that ovarian reserve tests, such as basal fsh, antimullarian hormone (amh), inhibin b, basal estradiol, antral folli...

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Evaluation of gene expression of three adrenergic receptors in infertile women with poor ovarian response, candidate for IVF

Background: Most studies show that 9 to 24% of people who are in in vitro fertilization (IVF) cycles are women who respond poorly to ovarian stimulation. Women with poor ovarian response (POR) are a group of infertile patients whose ovarian reserve, ovarian response to medication, and the quality of ovum are declining. Therefore, the number of female cycles, the number of fetuses from the oocyt...

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Multivariate predictive model for dyslexia diagnosis.

Dyslexia is a specific disorder of language development that mainly affects reading. Etiological researches have led to multiple hypotheses which induced various diagnosis methods and rehabilitation treatments so that many different tests are used by practitioners to identify dyslexia symptoms. Our purpose is to determine a subset of the most efficient ones by integrating them into a multivaria...

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Predictive value of symptoms for early detection of ovarian cancer.

BACKGROUND A recent consensus statement encouraged use of certain symptoms to diagnose ovarian cancer earlier. We assessed the sensitivity, specificity, and positive predictive value of a proposed symptom index and of symptoms included in the consensus recommendation. METHODS In-person interviews were conducted with 812 case patients, aged 35-74 years, who had epithelial ovarian cancer that w...

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ژورنال

عنوان ژورنال: Reproductive BioMedicine Online

سال: 2014

ISSN: 1472-6483

DOI: 10.1016/j.rbmo.2014.02.009