Literature DB >> 19370564

Selective serotonin reuptake inhibitors for premenstrual syndrome.

Julie Brown1, Patrick Michael Shaughn O' Brien, Jane Marjoribanks, Katrina Wyatt.   

Abstract

BACKGROUND: This is a substantive update of a previous review. Severe premenstrual syndrome (PMS) affects between 3% to 5% of women of reproductive age. Severe PMS is classified under the Diagnostic and Statistical Manual of Mental Disorders as premenstrual dysphoric disorder (PMDD). Selective serotonin reuptake inhibitors (SSRIs) are increasingly used as front-line therapy for PMS. A systematic review was undertaken on the efficacy of SSRIs in the management of severe PMS, or PMDD, to assess the evidence for this treatment option.
OBJECTIVES: The objective of this review was to evaluate the effectiveness of SSRIs in reducing premenstrual syndrome symptoms in women diagnosed with severe premenstrual syndrome. SEARCH STRATEGY: Electronic searches for relevant randomised controlled trials were undertaken in the Cochrane Menstrual Disorders and Subfertility Group Specialised Register, Cochrane Central Register of Controlled Trials (CENTRAL) (The Cochrane Library), MEDLINE, EMBASE, PsycInfo, and CINAHL (March 2008). Where insufficient data were presented in a report the original authors were contacted for further details. SELECTION CRITERIA: All trials were considered in which women with a prospective diagnosis of PMS, PMDD or late luteal phase dysphoric disorder (LPDD) were randomised to receive SSRIs or placebo for the treatment of premenstrual syndrome in a blinded trial. DATA COLLECTION AND ANALYSIS: Forty randomised controlled trials were identified which reported the use of SSRIs in the management of PMS. Fifty-six trials were excluded. The review authors extracted the data independently and estimated standardised mean differences for continuous outcomes. MAIN
RESULTS: Due to heterogeneity, analyses were subgrouped into change and absolute scores. The primary analysis of reduction in overall symptomatology included data on 2294 women with premenstrual syndrome. SSRIs were found to be highly effective in treating the premenstrual symptoms (SMD -0.53, 95% CI 0.68 to -0.39; P < 0.00001). Secondary analysis showed that they were effective in treating physical (SMD -0.34, 95% CI -0.45 to -0.22; P < 0.00001), functional (SMD -0.30, 95% CI -0.43 to -0.17; P < 0.00001), and behavioural symptoms (SMD -0.41, 95% CI -0.53 to -0.29; P < 0.00001). Luteal phase only and continuous administration were both effective and there was no influence of a placebo run-in period on reduction in symptoms. All SSRIs (fluoxetine, paroxetine, sertraline, fluvoxamine, citalopram, and clomipramine) were effective in reducing premenstrual symptoms. Withdrawals due to side effects were twice as likely to occur in the treatment group (OR 2.18, 95% CI 1.62 to 2.92; P < 0.00001). AUTHORS'
CONCLUSIONS: The evidence supports the use of selective serotonin reuptake inhibitors in the management of severe premenstrual syndrome.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19370564     DOI: 10.1002/14651858.CD001396.pub2

Source DB:  PubMed          Journal:  Cochrane Database Syst Rev        ISSN: 1361-6137


  25 in total

Review 1.  Cognitive-behavioral and pharmacological interventions for premenstrual syndrome or premenstrual dysphoric disorder: a meta-analysis.

Authors:  Maria Kleinstäuber; Michael Witthöft; Wolfgang Hiller
Journal:  J Clin Psychol Med Settings       Date:  2012-09

Review 2.  Neuroimaging the Menstrual Cycle and Premenstrual Dysphoric Disorder.

Authors:  Erika Comasco; Inger Sundström-Poromaa
Journal:  Curr Psychiatry Rep       Date:  2015-10       Impact factor: 5.285

3.  Effects of dapoxetine on cloned Kv1.5 channels expressed in CHO cells.

Authors:  Imju Jeong; Shin Hee Yoon; Sang June Hahn
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2012-04-27       Impact factor: 3.000

4.  Coffee, caffeine, and risk of depression among women.

Authors:  Michel Lucas; Fariba Mirzaei; An Pan; Olivia I Okereke; Walter C Willett; Éilis J O'Reilly; Karestan Koenen; Alberto Ascherio
Journal:  Arch Intern Med       Date:  2011-09-26

5.  Relation between clinical depression risk and physical activity and time spent watching television in older women: a 10-year prospective follow-up study.

Authors:  Michel Lucas; Rania Mekary; An Pan; Fariba Mirzaei; Eilis J O'Reilly; Walter C Willett; Karestan Koenen; Olivia I Okereke; Alberto Ascherio
Journal:  Am J Epidemiol       Date:  2011-10-07       Impact factor: 4.897

6.  Low-dose acetazolamide in the treatment of premenstrual dysphoric disorder: a case series.

Authors:  Gabriele Sani; Georgios D Kotzalidis; Isabella Panaccione; Alessio Simonetti; Lavinia De Chiara; Antonio Del Casale; Elisa Ambrosi; Flavia Napoletano; Delfina Janiri; Emanuela Danese; Nicoletta Girardi; Chiara Rapinesi; Daniele Serata; Giovanni Manfredi; Alexia E Koukopoulos; Gloria Angeletti; Ferdinando Nicoletti; Paolo Girardi
Journal:  Psychiatry Investig       Date:  2014-01-21       Impact factor: 2.505

Review 7.  Premenstrual Dysphoric Disorder: Epidemiology and Treatment.

Authors:  Liisa Hantsoo; C Neill Epperson
Journal:  Curr Psychiatry Rep       Date:  2015-11       Impact factor: 5.285

8.  ISPMD consensus on the management of premenstrual disorders.

Authors:  Tracy Nevatte; Patrick Michael Shaughn O'Brien; Torbjorn Bäckström; Candace Brown; Lorraine Dennerstein; Jean Endicott; C Neill Epperson; Elias Eriksson; Ellen W Freeman; Uriel Halbreich; Khalid Ismail; Nicholas Panay; Teri Pearlstein; Andrea Rapkin; Robert Reid; David Rubinow; Peter Schmidt; Meir Steiner; John Studd; Inger Sundström-Poromaa; Kimberly Yonkers
Journal:  Arch Womens Ment Health       Date:  2013-04-27       Impact factor: 3.633

Review 9.  Towards a consensus on diagnostic criteria, measurement and trial design of the premenstrual disorders: the ISPMD Montreal consensus.

Authors:  Patrick Michael Shaughn O'Brien; Torbjorn Bäckström; Candace Brown; Lorraine Dennerstein; Jean Endicott; C Neill Epperson; Elias Eriksson; Ellen Freeman; Uriel Halbreich; Khaled M K Ismail; Nicholas Panay; Teri Pearlstein; Andrea Rapkin; Robert Reid; Peter Schmidt; Meir Steiner; John Studd; Kimberley Yonkers
Journal:  Arch Womens Ment Health       Date:  2011-01-12       Impact factor: 3.633

10.  A clinical risk stratification tool for predicting treatment resistance in major depressive disorder.

Authors:  Roy H Perlis
Journal:  Biol Psychiatry       Date:  2013-02-04       Impact factor: 13.382

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.