Quality assessment of reporting in randomized controlled trials of Chinese herbal medicines for the treatment of Alzheimer's disease using CONSORT criteria
10.3969/j.issn.1006-2157.2015.09.011
- VernacularTitle:中草药治疗阿尔茨海默病的临床试验报告质量评价
- Author:
Jingnian NI
1
;
Mingqing WEI
;
Jing SHI
;
Xuekai ZHANG
;
Jinzhou TIAN
Author Information
1. 北京中医药大学东直门医院 北京100700
- Keywords:
Alzheimer's disease;
Chinese herbal medicine;
randomized controlled trial report;
quality assessment
- From:
Journal of Beijing University of Traditional Chinese Medicine
2015;(9):628-634,640
- CountryChina
- Language:Chinese
-
Abstract:
Objective To assess the quality of reports and abstracts of randomized controlled trials ( RCT) of treating Alzheimer ’ s disease ( AD ) with Chinese herbal medicines.Methods The RCT reports were included from online search of database of PubMed and CNKI.Based on the Consolidating Standards for Reporting Trials ( CONSORT) checklists, supplementary checklists of herbal medicine in-tervention and requirements of medical design, the quality of studies were performed.Results Eleven reports in English and eighteen ones in Chinese published in general medical journals were included.The number of items in six reports (20.7%) was over 50%, while the mean items in Chinese was 10.94 (30%)and in English 20.27 (55%).Altogether nine reports (31%) got the Jadad score of three or above, while the mean Jadad score of reports in Chinese was 1.67 ±0.77 and in English was 2.61 ± 0.93.Seven reports(24.1%)got the score of 2.5 or above in checklists of herbal medicine intervention, in which in Chinese got the mean score of 1.58 ±0.39 and English got 2.61 ±0.93 .Zheng ( TCM syndrome) was reported only in one paper(3.4%)in Chinese, and comparison of the types between and after treatment was conducted.Conclusion The quality of reports in English was better than that in Chinese.The main problems in Chinese study reports existed in lacking of details of random design and blind design, insufficient treatment duration, improper positive drugs controlled and poorly targeted indi-ces selected.
