1.Treatment of Rheumatoid Arthritis by Different Indirect Moxibustion
Weiming WANG ; Hanping CHEN ; Zhen YANG ; Yunlan KANG
Journal of Acupuncture and Tuina Science 2004;2(3):13-16
Purpose: To observe the clinical curative effects of different indirect moxibustion on rheumatoid arthritis and investigate the influences of different burning and separating materials on the partitioned moxibustion groups were established for the comparison of their clinical curative effects on rheumatoid arthritis. Results: The total effective rate was 99.33% in RadixAconitis Laterali group. Statistical analysis showed that there was no significant difference among the 3 groups; there were very significant differences in hormone dosage between pre-treatment and post-treatment in all the 3 groups; differences in hemoglobin and erythrocyte sedimentation rate between pre-treatment and post-treatment were more marked in ginger-partitioned moxibustion group than in the other 2 groups. Conclusion: There was a good curative effect on rheumatoid arthritis in all the 3 groups.Burning and partition materials for moxibustion had a certain influence on the curative effect.
2.Risk prediction model of anastomotic fistula after radical resection of esophageal cancer: A systematic review and meta-analysis
Tao LI ; Yunlan JIANG ; Jing KANG ; Shuang SONG ; Qiufeng DU ; Xiaodong YI
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(03):385-392
Objective To systematically evaluate the risk prediction model of anastomotic fistula after radical resection of esophageal cancer, and to provide objective basis for selecting a suitable model. Methods A comprehensive search was conducted on Chinese and English databases including CNKI, Wanfang, VIP, CBM, PubMed, EMbase, Web of Science, The Cochrane Library for relevant studies on the risk prediction model of anastomotic fistula after radical resection of esophageal cancer from inception to April 30, 2023. Two researchers independently screened literatures and extracted data information. PROBAST tool was used to assess the risk of bias and applicability of included literatures. Meta-analysis was performed on the predictive value of common predictors in the model with RevMan 5.3 software. Results A total of 18 studies were included, including 11 Chinese literatures and 7 English literatures. The area under the curve (AUC) of the prediction models ranged from 0.68 to 0.954, and the AUC of 10 models was >0.8, indicating that the prediction performance was good, but the risk of bias in the included studies was high, mainly in the field of research design and data analysis. The results of the meta-analysis on common predictors showed that age, history of hypertension, history of diabetes, C-reactive protein, history of preoperative chemotherapy, hypoproteinemia, peripheral vascular disease, pulmonary infection, and calcification of gastric omental vascular branches are effective predictors for the occurrence of anastomotic leakage after radical surgery for esophageal cancer (P<0.05). Conclusion The study on the risk prediction model of anastomotic fistula after radical resection of esophageal cancer is still in the development stage. Future studies can refer to the common predictors summarized by this study, and select appropriate methods to develop and verify the anastomotic fistula prediction model in combination with clinical practice, so as to provide targeted preventive measures for patients with high-risk anastomotic fistula as soon as possible.