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Cited by 187

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The Efficacy of Fluoxetine in the Treatment of Premature Ejaculation: A Double-Blind Placebo Controlled Study

Kara, Hayrettin, Aydin, Sabahattin, Agargun, M. Yucel, Odabas, Oner, Yilmaz, Yuksel·1996·Journal of Urology

Abstract

PURPOSE: The efficacy of the selective serotonin re-uptake inhibitor fluoxetine in the treatment of premature ejaculation was examined. MATERIALS AND METHODS: The study comprised 17 patients with premature ejaculation who presented to the urology clinic of our medical school. In this double-blind study the patients were randomized into treatment groups receiving 20 mg. fluoxetine daily for 1 week and 40 mg. daily afterward (group 1) or 1 capsule placebo daily for 1 week and 2 capsules daily afterward (group 2). The groups were evaluated according to the latent period of intravaginal ejaculation. RESULTS: The latent period of intravaginal ejaculation in group 1 was significantly longer than that in group 2. Nausea, headache and insomnia were reported side effects. CONCLUSIONS: Fluoxetine may be regarded as a safe and effective alternative in the treatment of premature ejaculation.

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Metadata

Authors
Kara, H., Aydin, S., Agargun, M. Y., Odabas, O., & Yilmaz, Y.
Venue
Journal of Urology
Published
1996-11
Volume
156
Issue
5
Pages
1631-1632
ISSN
  • 0022-5347 (ISSN-L)
  • 1527-3792
OpenAlex
W2000640050
Cited by
187
References
0
FWCI
8.32
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Efficacy of Fluoxetine in the Treatment of Premature Ejaculation: A Double-Blind Placebo Controlled Study. https://app.cochat.ai/papers/10.1016/s0022-5347(01)65467-3
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Kara, H., Aydin, S., Agargun, M. Y., Odabas, O., & Yilmaz, Y. (1996). The Efficacy of Fluoxetine in the Treatment of Premature Ejaculation: A Double-Blind Placebo Controlled Study. Journal of Urology. https://doi.org/10.1016/s0022-5347(01)65467-3

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.