Gonadotropins for Women with Unexplained Infertility View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2015

AUTHORS

Anupa Nandi , Roy Homburg

ABSTRACT

The use of gonadotropins in the treatment of unexplained infertility for women, who are apparently ovulating regularly, appears logically to be a futile exercise. However, whether by correcting subtle deficiencies in the ovulation process, improving the endocrine environment, and/or endometrial receptivity, ovarian stimulation with gonadotropins produces better pregnancy rates than either clomiphene citrate alone or intrauterine insemination (IUI) alone. When gonadotropin stimulation was combined with IUI, it produced superior pregnancy rates than either clomiphene citrate and IUI or IUI alone. It has been suggested, however, that gonadotropin stimulation combined with IUI does not produce superior birth rates compared with expectant treatment. Due to a lack of evidence-based studies in this field, the use of gonadotropin stimulation in the treatment of unexplained infertility, although now widely employed, remains controversial and further well-designed studies are needed. More... »

PAGES

283-289

Book

TITLE

Unexplained Infertility

ISBN

978-1-4939-2139-3
978-1-4939-2140-9

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-4939-2140-9_27

DOI

http://dx.doi.org/10.1007/978-1-4939-2140-9_27

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1014444980


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-1-4939-2140-9_27'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-1-4939-2140-9_27'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-1-4939-2140-9_27'


 

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