Methodology quality assessment on study design and analysis of clinical research projects
10.3760/cma.j.issn.1006-1924.2019.03.016
- VernacularTitle:临床科研项目设计与分析环节的方法学质量研究
- Author:
Yang WANG
1
;
Xu ZHANG
;
Yujun XU
;
Hua GAO
;
Li HOU
;
Rongrong JI
;
Yan ZHANG
;
Yanyan ZHAO
;
Xiaokun ZHANG
;
Wei LI
Author Information
1. 中国医学科学院北京协和医学院阜外医院国家心血管病中心医学统计部 100037
- Keywords:
Clinical research;
Study design;
Statistical analysis;
Methodology quality
- From:
Chinese Journal of Medical Science Research Management
2019;32(3):229-232
- CountryChina
- Language:Chinese
-
Abstract:
Objective Clinical research is a critical procedure for the development of medicine.Reliability of the clinical research finding is determined by the quality of study design and analysis courses.It will also further impact the guideline development and clinical practice.This study was focus on the evaluation of clinical research quality during its whole process.Methods Subjects of this study were the clinical summary reports from a government funded project which were submitted in 2016.Standardized data collecting form had been used to capture the key features regarding to the quality of study design and data analysis.After the review of data accuracy,descriptive analysis had been carried to interpret the observed findings both for design and analysis aspects.Results There were 67 project summary reports included in our analysis.The top three investigated therapeutic areas were oncology,cardiovascular/cerebrovascular diseases and orthopedics (19.4 ％,11.9 ％ and 11.9 ％).Most of studies fulfilled the evaluation criteria according to their original plan.94 ％ studies were strictly compliance with the original protocol with no interim amendment.Meanwhile,the report on sample size determination and appropriate use of multi-variable analysis should be improved.Conclusions Usually,clinical research program can fulfill the evaluate goal according to funding requirements.But the methodology quality should be paid more attention.It is highly suggested to cooperate with the professional statistical team and do continuous improvement effort to enhance the validity of study findings.
