Literature DB >> 15969247

Algorithm for treatment of premenstrual syndromes (PMS): experts' recommendations and limitations.

Uriel Halbreich1.   

Abstract

The number of women who seek treatment for Premenstrual Syndromes (PMS) is continually increasing. To meet their needs there are many treatment modalities that have been introduced to clinical practice. In order to assist the clinician in choosing treatment for his/her patients, treatment recommendations by experts in the field are not only available but they may also be prioritized and sequenced as treatment algorithm. Such an algorithm for treatment of women with PMS is presented here. The algorithm is the author's summary and common denominator of several experts' consensus building group processes. The strengths as well as shortcomings of the experts' opinions processes are discussed. Substantial clinically-relevant research and assessments are still needed.

Entities:  

Mesh:

Year:  2005        PMID: 15969247     DOI: 10.1080/09513590400029584

Source DB:  PubMed          Journal:  Gynecol Endocrinol        ISSN: 0951-3590            Impact factor:   2.260


  4 in total

Review 1.  Are there differential symptom profiles that improve in response to different pharmacological treatments of premenstrual syndrome/premenstrual dysphoric disorder?

Authors:  Uriel Halbreich; P M Shaughn O'Brien; Elias Eriksson; Torbjörn Bäckström; Kimberly A Yonkers; Ellen W Freeman
Journal:  CNS Drugs       Date:  2006       Impact factor: 5.749

2.  Dietary B vitamin intake and incident premenstrual syndrome.

Authors:  Patricia O Chocano-Bedoya; JoAnn E Manson; Susan E Hankinson; Walter C Willett; Susan R Johnson; Lisa Chasan-Taber; Alayne G Ronnenberg; Carol Bigelow; Elizabeth R Bertone-Johnson
Journal:  Am J Clin Nutr       Date:  2011-02-23       Impact factor: 7.045

3.  Core symptoms that discriminate premenstrual syndrome.

Authors:  Ellen W Freeman; Steffanie M Halberstadt; Karl Rickels; Julie M Legler; Hui Lin; Mary D Sammel
Journal:  J Womens Health (Larchmt)       Date:  2010-12-03       Impact factor: 2.681

4.  Internet-based cognitive behavioural self-help for premenstrual syndrome: study protocol for a randomised controlled trial.

Authors:  Johanna N Kues; Carolyn Janda; Maria Kleinstäuber; Cornelia Weise
Journal:  Trials       Date:  2014-12-02       Impact factor: 2.279

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.