Suppr超能文献

中风后疼痛中的阿片类药物:一项系统评价和荟萃分析。

Opioids in Post-stroke Pain: A Systematic Review and Meta-Analysis.

作者信息

Scuteri Damiana, Mantovani Elisa, Tamburin Stefano, Sandrini Giorgio, Corasaniti Maria Tiziana, Bagetta Giacinto, Tonin Paolo

机构信息

Pharmacotechnology Documentation and Transfer Unit, Section of Preclinical and Translational Pharmacology, Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Rende, Italy.

Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.

出版信息

Front Pharmacol. 2020 Nov 27;11:587050. doi: 10.3389/fphar.2020.587050. eCollection 2020.

Abstract

Post-stroke pain is one of the most common of stroke, which stands among the leading causes of death and adult-acquired disability worldwide. The role and clinical efficacy of opioids in post-stroke pain syndromes is still debated. Due to the important gap in knowledge on the management of post-stroke pain, this systematic review aimed at assessing the efficacy of opioids in post-stroke pain syndromes. A literature search was conducted on databases relevant for medical scientific literature, i.e. PubMed/MEDLINE, Scopus, Web of Science and Cochrane Library databases from databases inception until August 31, 2020 for clinical trials assessing the effects of opioids and opioid antagonists on pain reduction and pain related symptoms in patients with post-stroke pain syndromes. Studies assessing the effects of other medications (e.g., tricyclic antidepressant, pregabalin) or non - pharmacological management strategies (e.g., neurostimulation techniques) were excluded. The selected studies have been subjected to examination of the risk of bias. The literature search retrieved 83,435 results. After duplicates removal, 34,285 articles were title and abstract screened. 25 full texts were assessed and 8 articles were identified to be eligible for inclusion in the qualitative summary and narrative analysis, of which three were placebo-controlled and two were dose-response. Among placebo-controlled studies, two evaluated the analgesic effect of morphine and one assessed the effects of the opioid antagonist naloxone on patients with central post-stroke pain. With regard to dose-response studies, both were on patients with central post-stroke pain, one assessing the efficacy of levorphanol, and the other on naloxone. Seven out of eight included studies showed an overall slight analgesic effect of opioids, with less consistent effects on other pain-related symptoms (e.g., mood, quality of life). The randomized controlled trials were subjected to meta-analysis and rating of the quality of evidence for the two outcomes considered according to GRADE (Grading of Recommendations, Assessment, Development and Evaluations) system. The overall results are inconclusive because of the small number of studies and of patients. The limited number of the included studies and their heterogeneity in terms of study design do not support the efficacy of opioids in post-stroke pain and in pain-related outcomes. Large double-blind randomized clinical trials with objective assessment of pain and related symptoms are needed to further investigate this topic.

摘要

中风后疼痛是中风最常见的并发症之一,是全球范围内主要的死亡和成人后天残疾原因之一。阿片类药物在中风后疼痛综合征中的作用和临床疗效仍存在争议。由于中风后疼痛管理方面存在重要的知识空白,本系统评价旨在评估阿片类药物在中风后疼痛综合征中的疗效。我们在与医学科学文献相关的数据库中进行了文献检索,即从数据库建立至2020年8月31日,检索了PubMed/MEDLINE、Scopus、Web of Science和Cochrane图书馆数据库,以查找评估阿片类药物和阿片类拮抗剂对中风后疼痛综合征患者疼痛减轻及疼痛相关症状影响的临床试验。评估其他药物(如三环类抗抑郁药、普瑞巴林)或非药物管理策略(如神经刺激技术)效果的研究被排除。对所选研究进行了偏倚风险检查。文献检索共获得83435条结果。去除重复项后,对34285篇文章进行了标题和摘要筛选。评估了25篇全文,确定8篇文章符合纳入定性总结和叙述性分析的标准,其中3篇为安慰剂对照研究,2篇为剂量反应研究。在安慰剂对照研究中,2项评估了吗啡的镇痛效果,1项评估了阿片类拮抗剂纳洛酮对中风后中枢性疼痛患者的影响。在剂量反应研究中,2项均针对中风后中枢性疼痛患者,1项评估了左啡诺的疗效,另1项评估了纳洛酮的疗效。纳入的8项研究中有7项显示阿片类药物总体有轻微镇痛作用,但对其他疼痛相关症状(如情绪、生活质量)的作用不太一致。根据GRADE(推荐分级、评估、制定和评价)系统,对随机对照试验进行了荟萃分析,并对所考虑的两个结局的证据质量进行了评级。由于研究和患者数量较少,总体结果尚无定论。纳入研究数量有限及其在研究设计方面的异质性不支持阿片类药物在中风后疼痛及疼痛相关结局方面的疗效。需要开展大规模双盲随机临床试验,对疼痛及相关症状进行客观评估,以进一步研究该主题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87ba/7793939/78061632b33d/fphar-11-587050-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验