抗组胺药
贾达德量表
医学
氯雷他定
安慰剂
荟萃分析
置信区间
随机对照试验
内科学
梅德林
科克伦图书馆
相对风险
致盲
随机化
麻醉
替代医学
病理
法学
政治学
作者
Sara Guillén-Aguinaga,I Jáuregui,E. Aguinaga-Ontoso,Francisco Guillén‐Grima,Marta Ferrer
摘要
There is a lack of large, randomized, double-blind studies that address antihistamine updosing for chronic spontaneous urticaria (CSU). The objective of this systematic review is to explore and analyse available data to provide clinical evidence for the efficacy of antihistamine updosing. We searched the literature in Medline, Scopus, Google Scholar, Embase, Web of Science and Cochrane databases using the keywords 'chronic, urticaria, antihistamines' to identify studies published between January 1990 and November 2014. We assessed quality using the Jadad score that evaluates quality of randomization, double-blinding and losses to follow-up. We identified 1042 articles and 15 articles were included in the final evaluation. We performed two meta-analyses, one that included studies that analysed treatment response among groups receiving different antihistamine dosages vs. placebo, and another that analysed antihistamine updosing in those patients who did not respond to standard dosages. Only five articles obtained a high quality level score. We did not find significant differences in response rates or number of weals in those patients who received a standard dosage vs. a high dosage. We found a significant improvement only in the pruritus variable of the Urticaria Activity Score scale. The estimated relative risk for improvement by increasing the antihistamine dosage was 2·27 [95% confidence interval (CI) 1·68-3·06]; however, there was significant heterogeneity. The proportion of nonrespondent patients with CSU who responded to antihistamine updosing was 63·2% (95% CI 57-69·6). We found that updosing antihistamines significantly improved control of pruritus but not weal number. However, the relative weakness of the studies and the significant heterogeneity among them made it difficult to reach a final conclusion.
科研通智能强力驱动
Strongly Powered by AbleSci AI