Objective To assess the association between Metformin use and the risk of dementia in patients with type 2 diabetes mellitus(T2DM).Methods The research data came from the big medical data platform of Yinzhou District,and we constructed a cohort of T2DM patients who had initiated treatment of Metformin or sulfonylurea since January 1,2009.The inverse probability of treatment weighting(IPTW)was used to control the baseline confounding factors,and the Cox regression model was used to estimate the HR(95%CI)of the association between Metformin use and dementia risk.Results The incidence rate of dementia in new users of Metformin(41181 persons)and sulfonylureas(38092 persons)was 128.4 per 100000 person years and 142.3 per 100000 person years respectively.Compared with sulfonylureas,the crude analysis with no adjustment for confounding factors showed that there was a negative association between the use of Metformin and the incidence of dementia,with an HR(95%CI)0.930(0.800～1.090).After adjusting for potential confounders with IPTW,Metformin was not significantly associated with the risk of dementia HR(95%CI)1.040(0.890～1.220).The subgroup analysis results for different baseline characteristics were consistent with the primary analysis results,and there were no statistically significant associations between Metformin and dementia incidence risk in all subgroups.Conclusions There is no significant association between the use of Metformin and the risk of dementia in T2DM patients in the Yinzhou District.

Objective:To explore the association between cognitive function and the level of gamma-amino-butyric acid(GABA)in anterior cingulate cortex(ACC)before and after treatment in patients with major depres-sion disorder.Methods:Totally 31 medication-naive patients with major depression disorder meeting the criteria of the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5)and 33 normal controls were col-lected.Each eligible patient received treatment with selective serotonin reuptake inhibitor agents for 8 weeks.The MATRICS Consensus Cognitive Battery(MCCB)was used to evaluate the cognitive function.By means of 1H magnetic resonance spectroscopy,anterior cingulate cortex GABA concentrations were measured.Results:At base-line,the concentration of ACC GABA relative to water(GABA+/W)was lower in the patient group than in the control group(P＜0.05)and increased after treatment(P＜0.05).ACC GABA+/W was negatively associated with verbal learning and visual memory score in patient group at baseline(correlation coefficient and P value were r=-0.40,P＜0.05;r=-0.42,P＜0.05,respectively).The ACC GABA+/W difference resulted of treatment in patient group was positively associated with the difference of working memory score and the difference of reasoning and problem-solving score(correlation coefficient and P value were r=0.58,P＜0.05;r=0.66,P＜0.05,respec-tively).Conclusion:The cognitive dysfunction of patients with major depression disorder may not be related to the degree of depression and anxiety.And improvement of cognitive function may be associated with increase of ACC GABA concentrations.

Objective:To evaluate the effects of different exercises on executive function, moter skills and core symptoms in children with attention deficit hyperactivity disorder (ADHD) using network Meta-analysis, and to provide evidence-based basis for the treatment of children with ADHD.Methods:The randomized controlled trails(RCTs)of exercises on children with ADHD were searched in Web of Science, PubMed, Cochrane Library, Embase, PsycINFO, CNKI, Wanfang Data, VIP and CBM databases.The retrieval time limit was from the establishment of each database to May 2023.The Cochrane quality review manual was used to evaluate the quality of the included literatures.Stata 17.0 software was used to perform network Meta-analysis.Results:Finally, twenty-four studies were enrolled including five types of exercise intervention, such as aerobic exercise, multicomponent exercise, exergaming, high intensity interval training (HIIT) and traditional low-to-moderate intensity exercise therapy (TRAD).The results of network Meta-analysis showed that: in terms of improving executive function(working memory, inhibitory control, and cognitive flexibility), motor skills and core symptoms of children with ADHD, the optimal exercise intervention was aerobic exercises (surface under the cumulative ranking were 78.9%, 73.0%, 88.7%, 77.9% and 69.9% respectively).Conclusion:Exercises can improve executive function, improve motor skills, and alleviate ADHD core symptoms.Aerobic exercise has a better effect on improving executive function, motor skills and core symptoms of ADHD children.

Objective To investigate the effect of day chemotherapy on medical expenses of breast cancer patients.Methods The medical expenses of breast cancer patients in the First Affiliated Hospital of Guangxi Medical Universtiy from January 2019 to September 2023 were retrospectively investigated.Interrupted time series analysis was used to analyze the changes and trend of medical expenses and expenses structure of breast cancer before and after the implementation of day chemotherapy.Results The number of 8066 cases with breast cancer were included in this study.After day chemotherapy,the total expenses and each expense detail decreased significantly(P＜0.001).The total expenses,medicine expense,examination expenses and other expenses showed an upward trend before implementation of day chemotherapy(P＜0.05),the laboratory expenses showed a downward trend before implementation of day chemotherapy(P＜0.001).The total medical expenses decreased by 7306.34 yuan immediately after the implementation of day chemotherapy.The expenses of laboratory test,treatment,examination,nursing,medicine,health materials and other expenses were decreased by 599.59 yuan,1674.34 yuan,1470.66 yuan,91.37 yuan,3473.91 yuan,231.51 yuan and 436.73 yuan,respectively.Conclusion The implementation of day chemotherapy for breast cancer has significantly reduced all kinds of costs,which is conductive to reducing disease burden of patients.

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.