OBJECTIVE To conduct a reevaluation of the systematic review （SR）/meta-analysis on the use of Xianling gubao capsules （XLGBC） for knee osteoarthritis （KOA）， and provide evidence-based support for the clinical use of the drugs. METHODS Computerized searches including CNKI， Wanfang Data， VIP， China Biomedical Literature Database， the Cochrane Library， PubMed， Embase and Web of Science were conducted to collect systematic reviews （SR） or meta-analyses of XLGBC for the treatment of KOA from the inception to May 31st， 2024. The report quality， methodological quality， risk of bias and evidence quality were assessed using the PRISMA 2020 statement， AMSTAR 2 scale， ROBIS tool and GRADE tool， respectively. A comprehensive quality analysis of the quantitative results from the SR/meta-analysis was also performed. RESULTS A total of five SR/meta-analyses were included. The evaluation results based on the PRISMA 2020 statement showed that one study report was relatively complete （21 points）， while four studies had deficiencies （18-20 points）. The assessment using the AMSTAR 2 scale indicated that the methodological quality of all five studies was rated as very low. According to the ROBIS tool evaluation， the risk of comprehensive bias in all five studies was classified as high. GRADE tool evaluation revealed that among 49 outcome indicators， 5 （10.2%） were rated as moderate-quality evidence （10.2%）， 12 as low-quality evidence （24.5%）， and 32 as very low-quality evidence （65.3%）. The results of comprehensive quality analysis showed that the clinical efficacy， visual analogue scale score， pain relief time， comprehensive indexes of knee joint function， the levels of inflammatory factors and the incidence of adverse events in patients with XLGBC combined with conventional treatment were significantly better than conventional treatment alone （P＜0.05）. CONCLUSIONS Compared with conventional treatment， XLGBC in combination with conventional treatment for KOA may have some efficacy and safety advantages. However， due to the low quality of evidence for the outcome indicators included in the studies， the conclusions should be interpreted with caution.

OBJECTIVE To conduct a reevaluation of the systematic review （SR）/meta-analysis on the use of Xianling gubao capsules （XLGBC） for knee osteoarthritis （KOA）， and provide evidence-based support for the clinical use of the drugs. METHODS Computerized searches including CNKI， Wanfang Data， VIP， China Biomedical Literature Database， the Cochrane Library， PubMed， Embase and Web of Science were conducted to collect systematic reviews （SR） or meta-analyses of XLGBC for the treatment of KOA from the inception to May 31st， 2024. The report quality， methodological quality， risk of bias and evidence quality were assessed using the PRISMA 2020 statement， AMSTAR 2 scale， ROBIS tool and GRADE tool， respectively. A comprehensive quality analysis of the quantitative results from the SR/meta-analysis was also performed. RESULTS A total of five SR/meta-analyses were included. The evaluation results based on the PRISMA 2020 statement showed that one study report was relatively complete （21 points）， while four studies had deficiencies （18-20 points）. The assessment using the AMSTAR 2 scale indicated that the methodological quality of all five studies was rated as very low. According to the ROBIS tool evaluation， the risk of comprehensive bias in all five studies was classified as high. GRADE tool evaluation revealed that among 49 outcome indicators， 5 （10.2%） were rated as moderate-quality evidence （10.2%）， 12 as low-quality evidence （24.5%）， and 32 as very low-quality evidence （65.3%）. The results of comprehensive quality analysis showed that the clinical efficacy， visual analogue scale score， pain relief time， comprehensive indexes of knee joint function， the levels of inflammatory factors and the incidence of adverse events in patients with XLGBC combined with conventional treatment were significantly better than conventional treatment alone （P＜0.05）. CONCLUSIONS Compared with conventional treatment， XLGBC in combination with conventional treatment for KOA may have some efficacy and safety advantages. However， due to the low quality of evidence for the outcome indicators included in the studies， the conclusions should be interpreted with caution.

BACKGROUND:Based on different algorithms of machine learning,how to carry out clinical research on lumbar disc herniation with the help of various algorithmic models has become a trend and hot spot in the development of intelligent medicine at present. OBJECTIVE:To review the characteristics of different algorithmic models of machine learning in the diagnosis and treatment of lumbar disc herniation,and summarize the respective advantages and application strategies of algorithmic models for the same purpose. METHODS:The computer searched PubMed,Web of Science,EMBASE,CNKI,WanFang,VIP and China Biomedical(CBM)databases to extract the relevant articles on machine learning in the diagnosis and treatment of lumbar disc herniation.Finally,96 articles were included for analysis. RESULTS AND CONCLUSION:(1)Different algorithm models of machine learning provide intelligent and accurate application strategies for clinical diagnosis and treatment of lumbar disc herniation.(2)Traditional statistical methods and decision trees in supervised learning are simple and efficient in exploring risk factors and establishing diagnostic and prognostic models.Support vector machine is suitable for small data sets with high-dimensional features.As a nonlinear classifier,it can be applied to the recognition,segmentation and classification of normal or degenerative intervertebral discs,and to establish diagnostic and prognostic models.Ensemble learning can make up for the shortcomings of a single model.It has the ability to deal with high-dimensional data and improve the precision and accuracy of clinical prediction models.Artificial neural network improves the learning ability of the model,and can be applied to intervertebral disc recognition,classification and making clinical prediction models.On the basis of the above uses,deep learning can also optimize images and assist surgical operations.It is the most widely used model with the best performance in the diagnosis and treatment of lumbar disc herniation.The clustering algorithm in unsupervised learning is mainly used for disc segmentation and classification of different herniated segments.However,the clinical application of semi-supervised learning is relatively less.(3)At present,machine learning has certain clinical advantages in the identification and segmentation of lumbar intervertebral discs,classification and grading of the degenerative intervertebral discs,automatic clinical diagnosis and classification,construction of the clinical predictive model and auxiliary operation.(4)In recent years,the research strategy of machine learning has changed to the neural network and deep learning,and the deep learning algorithm with stronger learning ability will be the key to realizing intelligent medical treatment in the future.

BACKGROUND:In recent years,epidemiological studies have shown that sleep patterns are risk factors for osteoarthritis,but the causal relationship between sleep characteristics and osteoarthritis remains unknown. OBJECTIVE:To investigate the causal relationship between seven sleep phenotypes and osteoarthritis,thereby providing a theoretical foundation for clinical prevention and intervention of osteoarthritis. METHODS:Seven sleep-related features,namely sleep duration,wake-up time,daytime napping,morning/evening preference,snoring,insomnia,and hypersomnia,were selected from published genome-wide association studies.Instrumental variables for these sleep-related features were extracted.Instrumental variables for knee osteoarthritis and hip osteoarthritis were obtained from publicly available genome-wide association studies.Causal relationships between sleep characteristics and outcome risks were evaluated using two-sample and multivariable Mendelian randomization analyses.The inverse variance weighted method was employed as the primary Mendelian randomization approach.Various methods,including weighted median,weighted mode,Mendelian randomization-Egger regression,Mendelian randomization pleiotropy-residual sum and outlier,were utilized to detect and correct for the presence of pleiotropy. RESULTS AND CONCLUSION:The results of the inverse variance-weighted method in the two-sample Mendelian randomization study revealed a detrimental causal association between the duration of sleep and the incidence risk of knee osteoarthritis[odds ratio(OR)=0.621,95%confidence interval(CI):0.470-0.822,P=0.001].Concurrently,insomnia displayed a positive causal connection with hip osteoarthritis risk(OR=2.016,95%CI:1.249-3.254,P=0.005).Sensitivity analysis affirmed the robustness of these causal relationships,and Mendelian randomization-Egger intercept analysis found no evidence of potential horizontal pleiotropy(knee osteoarthritis:P=0.468,hip osteoarthritis:P=0.551).Moreover,the results from the multivariable Mendelian randomization analysis showed that the causal association between insomnia and hip osteoarthritis lacked statistical significance(P=0.715).In contrast,sleep duration exhibited a direct negative causal relationship with the incidence risk of knee osteoarthritis(OR=0.526,95%CI:0.336-0.824,P=0.005).Reverse Mendelian randomization analysis indicated that knee osteoarthritis did not influence sleep duration(P=0.757).These findings indicate a negative correlation between sleep duration and incidence risk of knee osteoarthritis,suggesting that correcting insufficient sleep might mitigate the incidence risk of knee osteoarthritis.

Knee osteoarthritis （KOA） is a common degenerative joint disease characterized primarily by the degeneration and damage of knee joint cartilage， accompanied by osteophyte formation and inflammation. In recent years， the prevalence of KOA has been increasing globally， significantly impacting the quality of life patients. However， the pathogenesis of KOA remains not fully understood， and current treatment methods are limited. Therefore， finding new therapeutic strategies is a research hotspot. Previous studies have found that the onset of KOA is related to abnormal mitochondrial regulation. Mitochondria， functioning as secondary messengers， play crucial roles in cellular respiration， reactive oxygen species （ROS） generation， and adenosine triphosphate （ATP） production through oxidative phosphorylation. Mitochondrial quality control is a pivotal mechanism for maintaining the morphology， quantity， and quality of mitochondria. The connection between mitochondrial quality control and the pathogenesis of KOA involves several factors， such as mitochondrial oxidative stress， mitophagy， imbalances in mitochondrial biogenesis， abnormal mitochondrial dynamics （fission and fusion）， and dysregulation of calcium ions. Metabolic abnormalities in the body lead to mitochondrial structural damage， which in turn contributes to the onset and progression of KOA. Traditional Chinese medicine （TCM） has made some progress in intervening in mitochondrial quality control， employing multi-faceted， multi-pathway， and multi-target strategies to treat KOA. Several studies have shown that mitochondrial quality control may be one of the therapeutic targets of TCM in treating KOA. However， there is currently a lack of comprehensive reviews summarizing the TCM interventions in mitochondrial quality control for treating KOA. This paper systematically reviewed the research progress in TCM treatment of KOA based on five aspects of mitochondrial quality control， aiming to provide a theoretical basis for the clinical prevention and treatment of KOA.

BACKGROUND:Anterior cruciate ligament rupture is one of the injuries that seriously affect life and sports performance,and the anterior cruciate ligament as a stabilizing structure is irreplaceable in maintaining sports performance.In view of its severe injury manifestations,the current treatment for anterior cruciate ligament rupture is a surgery for anterior cruciate ligament reconstruction.Since an anterior cruciate ligament injury can cause loss of mechanoreceptors,which in turn causes a reduction in proprioception,it is a great problem for patients to recover their motor performance. OBJECTIVE:To summarize the effects of proprioceptive training on clinical outcomes after anterior cruciate ligament reconstruction and to explore the underlying mechanisms,thereby providing more references for clinical prevention and treatment. METHODS:A computerized search of PubMed,CNKI,WanFang Data,and VIP databases was conducted for literature(from January 2013 to March 2023)related to proprioceptive training after anterior cruciate ligament reconstruction that improves joint stability and motor balance ability.A total of 108 articles were finally included for review. RESULTS AND CONCLUSION:Proprioceptive training can effectively improve the proprioceptive functions of patients,such as positional sense and kinesthetic sense after anterior cruciate ligament reconstruction,and improve joint stability,postural control and motor ability.The proprioceptive training improves the proprioceptive function through three mechanisms:stimulation of periprosthetic receptors around the knee joint,activation of spinal reflex stimulation,reinforcement of motor control in the brain,and enhancement of cognitive processing.The proprioceptive training may improve proprioceptive functions by activating the potential mechanisms of growth associated protein-43 activity,Piezo2 mechanotransducer,and NT-3/TrkC signaling pathway.Hydrotherapy is the mainstay in the early stages,while neuromuscular training,individual strength training and visual feedback training are prioritized in the middle and late stages.There exists an as-yet-unsegmented reconstructive surgery graft,sex,and a lack of devices or proprioceptive training methods based on the idea of combining multiple sensory stimuli.

It is believed that the main mechanism of idiopathic membranous nephropathy is the stagnation of qi and water. The clinical practice is guided by the principle of "treating water must be preceded by treating qi"， and combined with the clinical characteristics of idiopathic membranous nephropathy， which advocated that qi regulation should be applied in the treatment of idiopathic membranous nephropathy. According to the different manifestations of disorder of qi movement in all zang-fu organs， different methods are adopted to strengthen the spleen to raise the clear， harmonise the stomach to reduce turbidity， lift the pot to uncover the lid， diffuse the lung and drain water， assist yang to transform qi， promote water retention and reduce edema， soothe the liver and resolve constraint， regulate qi movement， and promote the sanjiao to help the qi transformation， and prescribed such as Buzhong Yiqi Decoction （补中益气汤）， Shengyang Yiqi Decoction （升阳益胃汤）， Fangji Huangqi Decoction （防己黄芪汤）， Danggui Shaoyao Powder （当归芍药散）， Zhongman Fenxiao Pill （中满分消丸） are used flexibly to restore qi movement， and the edema will disappear by itself.

Objective To investigate the causal relationship between gut microbiota and pigmented villonodular synovitis using Mendelian randomization analysis.Methods We conducted a two-sample Mendelian randomization analysis to investigate the causal relationship between 211 gut microbiome taxa and pigmented villonodular synovitis based on GWAS summary data,with inverse variance weighted(IVW)analysis as the primary result and the other methods as supplementary analyses.The reliability of the results was tested using Cochran's Q test,MR-Egger regression,MR-PRESSO method and conditional Mendelian randomization analysis(cML-MA).Results The increased abundance of Barnesiella(OR=3.12,95%CI:1.15-8.41,P=0.025)and Rumatococcaceae UCG010(OR=4.03,95%CI:1.19-13.68,P=0.025)may increase the risk of pigmented villous nodular synovitis,and elevated abundance of Lachnospiraceae(OR=0.33,95%CI:0.12-0.91,P=0.032),Alistipes(OR=0.16,95%CI:0.05-0.53,P=0.003),Blautia(OR=0.20,95%CI:0.06-0.61,P=0.005),and Lachnospiraceae FCS020 group(OR=0.38,95%CI:0.15-0.94,P=0.036)and Ruminococcaceae UCG014(OR=0.36,95%CI:0.14-0.94,P=0.037)were all associated with a reduced risk of pigmented villonodular synovitis,which were supported by the results of sensitivity analyses.Reverse Mendelian randomization analysis did not reveal any inverse causal association.Conclusion Increased abundance of specific intestinal microorganisms is associated with increased or decreased risks of developing hyperpigmented villonodular synovitis,and gut microbiota plays an important role in the pathogenesis of this disease.

Objective:To develop the Nutrition Impact Symptom Scale for Colorectal Cancer Patients.Methods:Guided by the theory of unpleasant symptoms, the initial draft of the scale was formed through literature research, expert consultation, and small sample pre-survey. From March to May 2023, convenience sampling was used to select 127 colorectal cancer patients who visited Jiangsu Cancer Hospital as the research subject for item analysis and reliability and validity testing of the scale.Results:The final scale consisted of five dimensions and a total of 17 items. The content validity index of the scale was from 0.83 to 1.00, with an average content validity index of 0.97. Exploratory factor analysis extracted five common factors, and the cumulative variance contribution rate was 61.622%. The total Cronbach's α coefficient of the scale was 0.708, and the coefficients for each dimension were 0.762, 0.642, 0.625, 0.510, and 0.644, respectively. The half reliability coefficient of the scale was 0.824.Conclusions:The development process of the Nutrition Impact Symptom Scale for Colorectal Cancer Patients is scientific, with good reliability and validity, and can be used to evaluate the nutrition impact symptom of colorectal cancer patients.

Objective:To explore the effect of knee arthroscopic operation training simulation system in clinical teaching of traditional Chinese medicine osteomatology resident doctor standardized training students.Methods:A total of 40 trainees were selected in Department of Orthopedics and Traumatology of the First Affiliated Hospital of Tianjin University of Chinese Medicine from January 2023 to September 2023. The trainees were divided into an experimental group and a control group according to the random number table method, with 20 in each group. Trainees in the control group was taught by presentations and video demonstrations. Trainees in the experimental group was taught by knee arthroscopic operation training simulation system. Trainees in each group were taught by a same teacher for a total of 2 weeks, with 2 class hours per week. After the teaching, the results of the assessment of theoretical knowledge, the results of the questionnaire survey on the mastery of teaching content and the results of the questionnaire survey on the evaluation of teaching methods were recorded. Then compared the results between the two groups.Results:Compared with the control group, there was no significant difference in the initial theoretical assessment scores between the two groups ( P > 0.05). The improvement rate of the test group was higher than that of the control group, with statistical significance ( P < 0.05). In terms of the mastery of teaching content, the experimental group was higher than the control group in three aspects: whether the teaching method was beneficial to the study of knee anatomy, imaging and surgical procedure, the difference was statistically significant ( P < 0.05); whether the teaching method was beneficial to the study of the selection of surgical indications, there was no statistically significant difference between the two groups ( P > 0.05). In the evaluation of teaching methods, there was no significant difference in the scores of teaching participation between the two groups ( P > 0.05), and the scores of the experimental group in six aspects of teaching interest, teaching effectiveness, teaching understanding, learning initiative, teaching course evaluation and course satisfaction were higher than those of the control group, with statistical significance ( P < 0.05). Conclusions:The application of knee arthroscopic operation training simulation operating system can significantly improve the theoretical achievements of traditional Chinese medicine bone injury training students, which is beneficial to master clinical teaching content and improve clinical teaching satisfaction.