Effectiveness and Safety of Butyphthalide Injection in Treatment of Aphasia after Cerebral Infarction: A Meta-analysis.

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Xiongying Huang, Yuan Xie, Yingchen Li
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引用次数: 0

Abstract

Objective: The objective of this study is to evaluate the efficacy and safety of butylphthalide injection in the treatment of aphasia after cerebral infarction.

Methods: CNKI, Wanfang database, Duxiu, VIP, CBM, PubMed, Embase, Web of Science, Cochrane, and Socolar databases were searched from the establishment of the database to August 2024. According to the topic of butylphthalide injection treated aphasia after cerebral infarction, the eligible RCT was selected and meta-analysis was performed using RevMan 5.4 software and stata16 software. Two researchers independently screened the study, extracted the basic information in the study, and assessed the risk of bias in the study.

Results: A total of 1047 patients were included in 12 articles, including 524 patients in the experimental group (butylphthalide injection + conventional/special speech rehabilitation training) and 523 patients in the control group (conventional/special speech rehabilitation). The results of meta-analysis showed that the total clinical efficacy of the experimental group was better than that of the control group (RR=1.29, 95%CI: 1.17-1.43, Z=4.98, P < 0.0000). The National Institutes of Health Stroke Scale (NIHSS) score of the experimental group was lower than that of the control group (conventional language rehabilitation training group: MD=-4.11,95%CI: -4.44~- 3.78, Z=24.38, P < 0.00001; special language rehabilitation training group: MD=-2.53, 95%CI: - 3.77 ~ -1.28, Z=3.97, P < 0.00001). Aphasia Quotient (AQ) scores of experimental groups were higher than those of control group (conventional language rehabilitation training group: MD=11.10, 95%CI: 10.26 ~ 11.94, Z=25.97, P<0.00001; special language rehabilitation training group: MD=5.23, 95%CI: 3.34~7.11, Z=5.44, P<0.00001); Adverse reactions: P>0.05, no statistical significance.

Conclusion: Butylphthalide injection is effective and safe in the treatment of aphasia after cerebral infarction.

丁苯酞注射液治疗脑梗死后失语的有效性和安全性:一项荟萃分析。
目的:评价丁苯酞注射液治疗脑梗死后失语的疗效和安全性。方法:检索自建库至2024年8月的CNKI、万方数据库、独秀数据库、VIP数据库、CBM数据库、PubMed数据库、Embase数据库、Web of Science数据库、Cochrane数据库、Socolar数据库。根据丁苯酞注射液治疗脑梗死后失语的主题,选择符合条件的RCT,采用RevMan 5.4软件和stata16软件进行meta分析。两位研究者独立筛选研究,提取研究中的基本信息,评估研究的偏倚风险。结果:12篇文章共纳入1047例患者,其中实验组(丁苯酞注射液+常规/特殊言语康复训练)524例,对照组(常规/特殊言语康复)523例。meta分析结果显示,试验组临床总疗效优于对照组(RR=1.29, 95%CI: 1.17 ~ 1.43, Z=4.98, P < 0.0000)。实验组脑卒中NIHSS评分低于对照组(常规语言康复训练组:MD=-4.11,95%CI: -4.44~- 3.78, Z=24.38, P < 0.00001;特殊语言康复训练组:MD=-2.53, 95%CI: - 3.77 ~ -1.28, Z=3.97, P < 0.00001)。实验组失语商(AQ)评分高于对照组(常规语言康复训练组:MD=11.10, 95%CI: 10.26 ~ 11.94, Z=25.97, P0.05,无统计学意义。结论:丁苯酞注射液治疗脑梗死后失语安全有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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