ArticleJournal of human reproductive sciences2013
The combined use of antimullerian hormone and age to predict the ovarian response to controlled ovarian hyperstimulation in poor responders: A novel approach.
Article in Journal of human reproductive sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Comparison of modified agonist, mild-stimulation and antagonist protocols for in vitro fertilization in patients with diminished ovarian reserve.The Journal of international medical research · 2018Trial
- Article
- Does Adenomyosis Influence ICSI Clinical Outcome? A Systematic Analysis and Impact of GnRH Agonist Pretreatment for Women with Adenomyosis in ICSI-FET Cycle: A Retrospective Cohort Study.Journal of obstetrics and gynaecology of India · 2022Article
- Efficacy of growth hormone supplementation with gonadotrophins in vitro fertilization for poor ovarian responders: an updated meta-analysis.International journal of clinical and experimental medicine · 2015Article
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Authors and funding
1 author.
Funding
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Abstract
contextReduced ovarian response to stimulation represents one of the most intractable problems in infertility treatment. As failed cycle can cause considerable amount of emotional and economical loss, there are various attempts made to predict ovarian response.
aimsTo evaluate different factors influencing outcome of assisted reproduction in women with predicted reduced response (antimullerian hormone between 1 and 5 pmol/L) and to develop a model using of AMH and age to predict the number of oocytes in poor responders. SETTINGS AND
designRetrospective study in a teaching hospital. MATERIALS AND
methodsWe analyzed 85 cycles (57 women) with predicted reduced response with serum AMH value between 1 and 5 pmol/L. Standard ovarian stimulation protocol was used. Primary outcome measures were clinical pregnancy rates and oocytes retrieved. STATISTICAL ANALYSIS USED: Data were analyzed using Microsoft excel and MetlabR software.
resultsClinical pregnancy rate/ET was 20.33%, in this group. AMH and age was analyzed using linear regression model which produced an equation to give predicted oocyte count if AMH and age are known. (Oocytes = age × (-ß) + Serum AMH × α) (Constant ß=0.0102 and α = 1.0407).
conclusionsCombined use of serum AMH and age to predict ovarian response within reduced responder group should be further evaluated. For first time, we suggested combining both factors to predict ovarian response using a simple equation which allow developing tailored strategy.
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