[Quality assessment of animal experimental studies on traditional Chinese medicine treatment of cervical radiculopathy]

This study aims to assess the methodological and reporting quality of animal experimental studies on the treatment of cervical radiculopathy(CR) with traditional Chinese medicine(TCM), analyze the deficiencies during the experimental process, and develop the methods to enhance the quality of such studies. The related articles were retrieved from CNKI, Wanfang, VIP, SinoMed, PubMed, EMbase, Cochrane Library, and Web of Science. The methodological quality and reporting quality of the included studies were evaluated according to the risk of bias tool of the Systematic Review Centre for Laboratory Animal Experimentation(SYRCLE) and the Animal Research: Reporting of in vivo Experiments(ARRIVE) 2.0 guidelines, respectively. A total of 4 086 articles were initially screened, in which 71 articles met the inclusion criteria. The SYRCLE's risk of bias tool revealed selection bias, performance bias, detection bias, and attrition bias of the included studies. The aspects for improvement were identified in the randomization of animal grouping, experimental implementation and outcome assessment, blinding, reporting baseline characteristics, and handling incomplete data. The essential item assessment of the ARRIVE 2.0 guidelines showed high risks in sample size determination, inclusion and exclusion criteria, randomization, blinding, outcome assessment, statistical methods, experimental procedures, and results reporting. Additionally, there were high risks in items recommended by ARRIVE 2.0 guidelines, including study background, ethical statements, animal care, interpretation/scientific implications, generalizability/translation, experimental protocol registration, data availability, and conflict of interest declaration. The existing animal experimental studies about the TCM treatment of CR exhibited methodological and reporting deficiencies. We recommend that researchers refer to the SYRCLE's risk of bias tool and the ARRIVE 2.0 guidelines to rigorously design, implement, and report experiments in a standardized manner, thereby enhancing the scientific, authentic, and reproducible properties of the experiments.