医学
观察研究
安慰剂
激素避孕
止痛
非甾体
临床试验
醋酸氯马地平
随机对照试验
盆腔疼痛
计划生育
妇科
人口
替代医学
内科学
外科
研究方法
病理
环境卫生
作者
Hans-Peter Zahradnik,A. Hanjalic-Beck,Klaus Groth
出处
期刊:Contraception
[Elsevier]
日期:2010-03-01
卷期号:81 (3): 185-196
被引量:155
标识
DOI:10.1016/j.contraception.2009.09.014
摘要
This article is a comprehensive overview of dysmenorrhea and a systematic review of the available literature on the use of nonsteroidal anti-inflammatory drugs (NSAIDs) and hormonal contraceptives for the therapy and management of dysmenorrhea.A comprehensive search of the PubMed database for clinical trials and observational studies of dysmenorrhea treatments from 2004 onwards.Eighteen publications were identified. Ten randomized controlled trials (RCTs) assessing NSAIDs for treating primary dysmenorrhea demonstrated superior pain relief compared with placebo, but no superiority was established among different NSAIDS. Two RCTs and six nonrandomized observational or prospective studies assessing the effect of hormonal contraceptives on dysmenorrhea strongly suggest a beneficial effect for dysmenorrheic pain relief and were conducted mainly in larger populations (N=41-6169) than those in the NSAID trials (N=10-337). Ethinylestradiol/chlormadinone acetate was the only formulation that provided a more pronounced relief of dysmenorrheic pain compared with a parallel alternative or previously used hormonal contraceptive. Methodological inconsistencies were widespread between the hormonal contraceptive studies.The findings of this review support the use of NSAIDs as a first-line therapy for pain relief from dysmenorrhea in women without wish for contraception. For women who wish contraception, combined oral contraceptives (COCs) are the preferential therapy for pain relief from dysmenorrhea as the additional noncontraceptive benefit of pain relief from dysmenorrhea is not linked to additional risks, eliminates the risks associated with taking NSAIDs and is a more suitable long-term option. Recommendations are made to strengthen the impact of future trials through improved methodology.
科研通智能强力驱动
Strongly Powered by AbleSci AI