ObjectiveTo investigate the possible mechanism of action of Xibining Formula （膝痹宁） for cartilage damage in knee osteoarthritis （KOA） through the cyclic guanosine-adenosine monophosphate synthase （cGAS）- stimulator of interferon genes （STING） signaling pathway. MethodsFifty C57BL/6J mice were randomly divided into five groups （10 per group）， sham operation group， KOA model group， low-dose Xibining Formula group， high-dose Xibining Formula group， and high-dose Xibining Formula + agonist group. The KOA models were constructed using the destabilization of the medial meniscus （DMM） method in all groups but the sham surgery group. Two weeks after surgery， the low- and high-dose Xibining Formula groups were administered Xibining Formula at doses of 3.58 g/（kg·d） and 14.32 g/（kg·d） respectively via gavage. The high-dose Xibining Formula + agonist group received 14.32 g/（kg·d） of Xibining Formula via gavage followed by an intraperitoneal injection of Vadimezan （DMXAA） at 25 mg/kg. The sham surgery group and the KOA model group mice were given an equivalent volume of normal saline at 5 ml/（kg·d） via gavage， once daily for four consecutive weeks. Serum levels of tumor necrosis factor-alpha （TNF-α）， interleukin-1β （IL-1β）， and interleukin-6 （IL-6） were measured by ELISA； pathological changes in cartilage tissue were observed using hematoxylin-eosin （HE） staining and Safranin O-Fast Green staining. Pathological changes were scored according to the Mankin scoring system； the levels of cartilage tissue matrix regulation-related indicators such as matrix metalloproteinase 3 （MMP3）， matrix metalloproteinase 13 （MMP13）， a disintegrin and metalloproteinase with thrombospondin motifs 5 （ADAMTS）， type-Ⅱ collagen （CⅡ） and aggregated proteoglycan （Aggrecan）， and also cGAS-STING pathway-related protein and mRNA expression levels were detected by Western blot and qPCR methods. ResultsCompared with the sham surgery group， the KOA model group showed severe cartilage edge destruction， significantly increased Mankin scores， significantly decreased protein and mRNA expression levels of COLⅡ and Aggrecan， and significantly increased protein and mRNA expression levels of cGAS， STING， MMP3， MMP13， and ADAMTS5 （P＜0.01）. Compared with the control group， serum level of IL-6， IL-1β， TNF-α in all the intervented groups decreased （P＜0.01）， while compared with high-dose Xibining Formula group， level of IL-6， IL-1β， and TNF-α in low-dose Xibining Formula group and high-dose Xibining Formula + agonist group increased （P＜0.01）. Compared with the KOA model group， all the intervention groups exhibited alleviated cartilage pathological changes， signi-ficantly reduced Mankin scores， significantly increased protein and mRNA expression levels of COLⅡ and Aggrecan， and significantly decreased protein and mRNA expression levels of cGAS， STING， MMP3， MMP13， and ADAMTS5 （P＜0.01）. Compared with high-dose Xibining Formula group， high-dose Xibining Formula + agonist group showed cartilage edge destruction， significantly increased Mankin scores， significantly decreased protein and mRNA expression levels of COLⅡ and Aggrecan， and increased protein and mRNA expression levels of cGAS， STING， MMP3， MMP13， and ADAMTS5 （P＜0.01）. ConclusionXibining Formula may improve KOA cartilage damage by inhibiting the cGAS-STING signaling pathway， decreasing matrix degradation-related proteins， and elevating matrix composition-related proteins.

ObjectiveTo observe the effects of Xibining （XBN） and adipose stem cell exosome （ADSC-Exos） in the cases of separate or joint application on cartilage degeneration and mitochondrial autophagy and explore its mechanism of action to improve knee osteoarthritis （KOA）. MethodSD rats were divided into a sham operation group （sham group）， a model group， an ADSC-Exos group （Exos group）， an XBN group， and an ADSC-Exos+XBN group （Exos+XBN group）. KOA model was established by using anterior cruciate ligament transection （ACLT）. The pain sensitivity status of rats was evaluated， and the degeneration degree of the knee joint and cartilage tissue was detected by Micro-CT and pathological staining. The expression of p62 and LC3B was observed by immunofluorescence， and the serum levels of TNF-α， IL-1β， IL-6， and IL-15 in rats were detected by ELISA. The Western blot was used to detect the protein expression levels of MMP-3， MMP-13， ADAMTS5， ColⅡ， TIMP， ACAN， PINK1， Parkin， p62， and LC3A/B. ResultCompared with the sham group， rats in the model group showed decreased cold-stimulated foot-shrinkage thresholds and mechanical pain sensitivity thresholds， varying degrees of abrasion and loss of cartilage tissue， degeneration of cartilage tissue， elevated serum IL-1β， IL-6， IL-15， and TNF-α levels （P<0.01）， and increased protein expression of MMP-3， MMP-13， and ADAMTS5 in cartilage tissue. In addition， the protein expression of ColⅡ， TIMP1， and ACAN was decreased （P<0.01）. Compared with the model group， rats in each treatment group showed higher cold-stimulated foot-shrinkage thresholds and mechanical pain sensitivity thresholds， reduced cartilage tissue degeneration， lower serum levels of IL-1β， IL-6， IL-15， and TNF-α （P<0.05，P<0.01）， decreased protein expression of MMP-3， MMP-13， and ADAMTS5， and higher protein expression of Cold， TIMP1， and ACAN in cartilage tissue （P<0.05，P<0.01）. Moreover， the changes were the most obvious in the Exos+XBN group. ConclusionBoth ADSCs-Exos and XBN can increase the level of mitochondrial autophagy in chondrocytes and delay cartilage tissue degeneration by promoting the expression of the PINK1/Parkin signaling pathway， and the combination of the two can enhance the therapeutic effect.

ObjectiveTo explore the research status and trends of cohort studies on traditional Chinese medicine （TCM） efficacy evaluation from 2017 to 2022 and provide ideas and references for research in this field. MethodsSix databases including Pubmed， Web of Science， Embase， Scopus， Cochrane Library and CNKI were searched from January 1st， 2017 to December 31st， 2022. The total number of annual publications， journals， highly cited literatures， and keywords were quantitatively and visually analyzed by Bibliometrix. ResultsA total of 328 articles were included， which were published in 141 journals. The number of articles published in this field showed an overall upward trend， and retrospective cohort studies （282 papers， 85.98%） accounted for the largest proportion. A total of 151 cohort studies （46.04%） were conducted based on the database and showed an overall upward trend. The subjects were mainly patients with tumors （77 papers， 23.48%）， and cardiovascular and cerebrovascular diseases （64 papers， 19.51%）. The top 3 highly cited literatures mainly explore the association between TCM and survival outcome and quality of life in patients with malignant tumors. Fourteen and twenty-five high-frequency keywords were included in Chinese and English literature respectively， which formed 3 clusters such as research methods， statistical analysis and diseases. ConclusionIt was the current status to focus on retrospective cohort studies and focus on patients with tumors or cardiovascular and cerebrovascular diseases. Using observational database to conduct cohort studies of TCM efficacy evaluation could be the future research direction.

This paper briefly introduces the definition, classification and significance of effect modification in epidemiological studies, summarizes the difference between effect modifier and confounders, and analyze the influence as well as the role of effect modification in epidemiological studies and Meta-analysis. In this paper, the possible scenarios of effect modification and related analysis strategy in Meta-analysis are indicated by graphics, aiming to arouse researchers' attention to effect modification. This paper also demonstrates how to identify and deal with effect modification in Meta-analysis through a study case of "Efficacy of sodium-glucose cotransporter 2 inhibitors in patients with type 2 diabetes", and shows the analysis process and interpretation of results of subgroup analysis and Meta-regression methods respectively. The advantages and disadvantages of these two methods are summarized to provide reference for the method selection of future research.

This paper briefly introduces the characteristics, research significance, and global reporting status of effect modification in network Meta-analysis, demonstrates the heterogeneity caused by effect modification in network Meta-analysis, and emphasizes the importance of exploring effect modification in network Meta-analysis. This paper also summarizes the normalized description and analysis strategies of effect modification in network Meta-analysis. Finally, by the case of "comparison of efficacy of three new hypoglycemic drugs in reducing body weight in type 2 diabetes patients", this paper demonstrates the realization of subgroup analysis and network Meta-regression in exploring effect modification, summarizes the advantages and disadvantages of the two methods, to provide references for future researchers.

Objective:Differences between randomized controlled trial (RCT) results and real world study (RWS) results may not represent a true efficacy-effectiveness gap because efficacy-effectiveness gap estimates may be biased when RWS and RCT differ significantly in study design or when there is bias in RWS result estimation. Secondly, when there is an efficacy- effectiveness gap, it should not treat every patient the same way but assess the real-world factors influencing the intervention's effectiveness and identify the subgroup likely to achieve the desired effect.Methods:Six databases (PubMed, Embase, Web of Science, CNKI, Wanfang Data, and VIP) were searched up to 31 st December 2022 with detailed search strategies. A scoping review method was used to integrate and qualitatively describe the included literature inductively. Results:Ten articles were included to discuss how to use the RCT research protocol as a template to develop the corresponding RWS research protocol. Moreover, based on correctly estimating the efficacy-effectiveness gap, evaluate the intervention effect in the patient subgroup to confirm the subgroup that can achieve the expected benefit-risk ratio to bridge the efficacy-effectiveness gap.Conclusion:Using real-world data to simulate key features of randomized controlled clinical trial study design can improve the authenticity and effectiveness of study results and bridge the efficacy-effectiveness gap.

This paper briefly introduces the unique advantages, overall analysis ideas and existing analysis methods of individual patient data Meta-analysis in terms of effect modification. In addition to Meta-regression and subgroup analysis, this paper also introduces the analysis methods based on part of individual patient data integrated with aggregated data and summarizes the current reporting of the above mentioned methods. In addition, the application and results interpretation of the above mentioned methods in individual patient data Meta-analysis are presented in this paper by taking "Effects of sodium-glucose cotransporter 2 inhibitors on SBP in patients with type 2 diabetes" as an example and by introducing their advantages and limitations.

Objective:Randomized controlled trials (RCT) usually have strict implementation criteria. The included subjects' characteristics of the conditions for the intervention implementation are quite different from the actual clinical environment, resulting in discrepancies between the risk-benefit of interventions in actual clinical use and the risk-benefit shown in RCT. Therefore, some methods are needed to enhance the extrapolation of RCT results to evaluate the real effects of drugs in real people and clinical practice settings.Methods:Six databases (PubMed, Embase, Web of Science, CNKI, Wanfang Data, and VIP) were searched up to 31 st December 2022 with detailed search strategies. A scoping review method was used to integrate and qualitatively describe the included literature inductively. Results:A total of 12 articles were included. Three methods in the included literature focused on: ①improving the design of traditional RCT to increase population representation; ②combining RCT Data with real-world data (RWD) for analysis;③calibrating RCT results according to real-world patient characteristics.Conclusions:Improving the design of RCT to enhance the population representation can improve the extrapolation of the results of RCT. Combining RCT data with RWD can give full play to the advantages of data from different sources; the results of the RCT were calibrated against real-world population characteristics so that the effects of interventions in real-world patient populations can be predicted.

Objective:To construct a diabetes foot prediction model for adult patients with type 2 diabetes based on retrospective cohort study using data from a regional health data platform.Methods:Using Yinzhou Health Information Platform of Ningbo, adult patients with newly diagnosed type 2 diabetes from January 1, 2015 to December 31, 2022 were included in this study and divided randomly the train and test sets according to the ratio of 7∶3. LASSO regression model and bidirectional stepwise regression model were used to identify risk factors, and model comparisons were conducted with net reclassification index, integrated discrimination improvement and concordance index. Univariate and multivariate Cox proportional hazard regression models were constructed, and a nomogram plot was drawn. Area under the curve (AUC) was calculated as a discriminant evaluation indicator for model validation test its calibration ability, and calibration curves were drawn to test its calibration ability.Results:No significant difference existed between LASSO regression model and bidirectional stepwise regression model, but the better bidirectional stepwise regression model was selected as the final model. The risk factors included age of onset, gender, hemoglobin A1c, estimated glomerular filtration rate, taking angiotensin receptor blocker and smoking history. AUC values (95% CI) of risk outcome prediction at year 5 and 7 were 0.700 (0.650-0.749) and 0.715(0.668-0.762) for the train set and 0.738 (0.667-0.801) and 0.723 (0.663-0.783) for the test set, respectively. The calibration curves were close to the ideal curve, and the model discrimination and calibration powers were both good. Conclusions:This study established a convenient prediction model for diabetic foot and classified the risk levels. The model has strong interpretability, good discrimination power, and satisfactory calibration and can be used to predict the incidence of diabetes foot in adult patients with type 2 diabetes to provide a basis for self-assessment and clinical prediction of diabetic foot disease risk.

Objective:To develop a prediction model for the risk of diabetic retinopathy (DR) in patients with newly diagnosed type 2 diabetes mellitus (T2DM).Methods:Patients with new diagnosis of T2DM recorded in Yinzhou Regional Health Information Platform between January 1, 2015 and December 31, 2022 were included in the study. The predictor variables were selected by using Lasso-Cox proportional hazards regression model. Cox proportional hazards regression models were used to establish the prediction model for the risk of DR. Bootstrap method (500 resamples) was used for internal validation, and the performance of the model was assessed by C-index, the receiver operating characteristic curve and area under the curve (AUC), and calibration curve.Results:The predictor variables included in the final model were age of T2DM onset, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, estimated glomerular filtration rate, and history of lipid-lowering agent and angiotensin converting enzyme inhibitor uses. The C-index of the final model was 0.622, and the mean corrected C-index was 0.623 (95% CI: 0.607-0.634). The AUC values for predicting the risk of DR after 3, 5, and 7 years were 0.631, 0.620, and 0.624, respectively, with a high degree of overlap of the calibration curves with the ideal curves. Conclusion:In this study, a simple and practical risk prediction model for DR risk prediction was developed, which could be used as a reference for individualized DR screening and intervention in newly diagnosed T2DM patients.