1.Clinical Observation on 58 Stroke Patients with Shoulder-joint Semiluxation Treated by Needling Method of Restoring Consciousness and Inducing Resuscitation plus Jingjin Needling
Chunmei LI ; Lili YIN ; Likang WANG
Journal of Traditional Chinese Medicine 1992;0(09):-
Objective To study the effect of consciousness restoring needling method combined with Jingjin needling method for shoulder-joint semiluxation patients after stroke.Methods The 108 patients were divided randomly into the treated group(n=58) and the control group(n=50).The treated group was treated with consciousness restoring and Jingjin Needling while the control group treated with consciousness restoring only.The therapeutic effect,shoulder joint movement,and severity of nervous impairment of both groups were observed.Results There were significant differences between the two groups in total effective rate and improvement of joint movement and nervous function(P
2.Attributes and characteristics of treatment modalities for chronic venous insufficiency
Likang BAI ; Jiaxin LI ; Yifan CAO ; Yujie LI ; Tian WEI ; Hongyong DUAN
International Journal of Surgery 2024;51(11):780-785
Chronic venous insufficiency(CVI), a prevalent condition within vascular surgery, displays marked variation in prevalence in the world. The management of CVI poses a significant challenge to healthcare systems and profoundly impacts patients′ well-being, warranting heightened attention. Current therapeutic approaches to CVI encompass both non-surgical and surgical interventions. Non-surgical treatments aim to alleviate symptoms through compression and medication, while surgical methods focus on repairing or removing diseased veins to restore normal blood flow. However, the effectiveness of existing treatments remains suboptimal, necessitating further research and the exploration of novel therapeutic schedule. This review article delves into the attributes and characteristics of current treatment modalities for lower extremity venous insufficiency and speculates on potential future trends in management.
3.A 1:2 matched case-control study on congenital external malformation during perinatal period.
Taishun WU ; Songlin LI ; Shupei CHEN ; Likang WU ; Jinhui XIAO ; Shaofa NIE ; Wei CHEN ; Guibao ZHU
Chinese Journal of Preventive Medicine 2002;36(1):19-21
OBJECTIVETo investigate the risk factors for congenital external malformation.
METHODSA 1:2 matched case-control study was conducted with 52 cases of congenital external malformation during perinantal period collected from surveillance in Baoan District of Shenzhen City from January to June in 2000.
RESULTSSimple and multiple conditional logistic regression analysis showed that the major risk factors for congenital external malformations during perinatal period were preterm labor (beta(k) = 1.4171, s(theta, beta(kappa)) = 0.4601, OR = 4.115), adverse mental stimulus (beta(kappa) = 2.1870, s(theta beta(kappa)) = 0.7873, OR = 8.909), taking medicine (beta(k) = 1.9178, s(theta beta(kappa)) = 0.8072, OR = 6.808) and exposure to hazardous chemicals during early pregnancy (beta(k) = 0.9602, s(theta beta(kappa)) = 0.4262, OR = 2.612).
CONCLUSIONSCongenital external malformation during perinatal period was caused by multiple risk factors and results of the study showed that environmental and mental factors were in obvious connection with its occurrence.
Case-Control Studies ; Congenital Abnormalities ; etiology ; Female ; Humans ; Male ; Multivariate Analysis ; Perinatal Care ; Pregnancy ; Risk Factors
4.Approach to Handling Missing Data in Clinical Trials
Jianfeng LI ; Jingyi ZHANG ; Likang LI ; Yingxin LIU ; Guowei LI
Medical Journal of Peking Union Medical College Hospital 2023;15(5):1165-1172
Missing data, occurring in clinical trials due to various reasons, will cause information loss of the original data and reduce the robustness and validity of the research results. Therefore, missing data should be dealt with caution in clinical trials. This article introduces the causes and types of missing data, as well as several common methodological approaches to addressing the problem, in order to promote researchers' understanding and improve the quality of handling missing data in trials. Nevertheless, the best way to deal with missing data is to prevent or reduce data loss in clinical trials, rather than relying on post hoc statistical analyses.