Title |
The OPTIMIST study: optimisation of cost effectiveness through individualised FSH stimulation dosages for IVF treatment. A randomised controlled trial
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Published in |
BMC Women's Health, September 2012
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DOI | 10.1186/1472-6874-12-29 |
Pubmed ID | |
Authors |
Theodora C van Tilborg, Marinus JC Eijkemans, Joop SE Laven, Carolien AM Koks, Jan Peter de Bruin, Gabrielle J Scheffer, Ron JT van Golde, Kathrin Fleischer, Annemieke Hoek, Annemiek W Nap, Walter KH Kuchenbecker, Petra A Manger, Egbert A Brinkhuis, Arne M van Heusden, Alexander V Sluijmer, Arie Verhoeff, Marcel HA van Hooff, Jaap Friederich, Jesper MJ Smeenk, Janet Kwee, Harold R Verhoeve, Cornelis B Lambalk, Frans M Helmerhorst, Fulco van der Veen, Ben Willem J Mol, Helen L Torrance, Frank JM Broekmans |
Abstract |
Costs of in vitro fertilisation (IVF) are high, which is partly due to the use of follicle stimulating hormone (FSH). FSH is usually administered in a standard dose. However, due to differences in ovarian reserve between women, ovarian response also differs with potential negative consequences on pregnancy rates. A Markov decision-analytic model showed that FSH dose individualisation according to ovarian reserve is likely to be cost-effective in women who are eligible for IVF. However, this has never been confirmed in a large randomised controlled trial (RCT). The aim of the present study is to assess whether an individualised FSH dose regime based on an ovarian reserve test (ORT) is more cost-effective than a standard dose regime. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Netherlands | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | <1% |
Netherlands | 1 | <1% |
Canada | 1 | <1% |
Switzerland | 1 | <1% |
Unknown | 98 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 16 | 16% |
Researcher | 15 | 15% |
Student > Ph. D. Student | 14 | 14% |
Student > Doctoral Student | 6 | 6% |
Student > Bachelor | 6 | 6% |
Other | 21 | 21% |
Unknown | 24 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 45 | 44% |
Biochemistry, Genetics and Molecular Biology | 5 | 5% |
Social Sciences | 4 | 4% |
Economics, Econometrics and Finance | 3 | 3% |
Psychology | 3 | 3% |
Other | 14 | 14% |
Unknown | 28 | 27% |