Objective To summarize the common traditional Chinese medicine(TCM)syndrome types and syndrome characteristics of depressive disorder(DD)by analyzing the existing clinical research literature,and to provide a basis for TCM syndrome classification and research on DD.Methods The documents related to TCM syndrome classification of DD were retrieved systematically from China National Knowledge Infrastructure(CNKI),China Biology Medicine Literature Service System(SinoMed),China Science and Technology Journal Database(VIP)and China Academic Journals Full-text Database(WanFang).The literature was organized and analyzed,and Gephi software was used to do the visual analysis.Results A total of 262 literature that met the criteria were included in the study.The annual average number of publications exceeds 10 articles since 2010.The top 5 syndrome types in TCM were Liver Qi Stagnation(LQS)type,Liver Stagnation and Spleen Deficiency(LSSD)type,Heart and Spleen Deficiency(HSD)type,Liver Stagnation and Phlegm Obstruction type and Liver Stagnation and Kidney Deficiency type,viscera syndrome classification mainly involved Liver,Spleen,Heart,Kidney and Gallbladder.The main syndrome type based on deficiency-excess syndrome classification was excess type.The strongest correlation of excess type was LQS,the strongest correlation of deficiency types was HSD,and the strongest correlation of deficiency and excess mixed syndrome type was LSSD.Conclusion The publication volume of literature related to TCM syndrome types of DD shows a fluctuating upward trend.The occurrence and development of DD are related to dysfunction of multiple organs,and liver stagnation is the core syndrome,which may run through the entire process of DD.

Objective To investigate the association of sleep disorders with the development and progression of nonalcoholic fatty liver disease(NAFLD).Methods A total of 1 868 participants from the health examination cohort and fatty liver cohort of Beijing Friendship Hospital from June 2022 to June 2023 were enrolled as subjects.Related data were collected from all subjects,including age,sex,education level,chronic medical history,and biochemical parameters,and all subjects completed Pittsburgh Sleep Quality Index(PSQI)scale independently.According to the diagnostic criteria,the subjects were divided into non-NAFLD group with 1 122 subjects and NAFLD group with 746 subjects,and according to the stage of progression,the patients in the NAFLD group were further divided into simple fatty liver group(SFL group with 624 subjects)and nonalcoholic steatohepatitis(NASH)group with 122 subjects.A one-way analysis of variance or the Kruskal-Wallis H test was used for comparison of continuous data between three groups.The chi-square test was used for comparison of categorical data between the three groups.The binary Logistic regression analysis was used to investigate the association between sleep factors and NAFLD,and the multinomial Logistic regression analysis was used to investigate the association between sleep factors and the different stages of NAFLD;two multivariate models were constructed for adjustment of potential confounding factors,i.e.,an age-sex adjustment model and a multivariate adjustment model,and the multivariate adjustment model adjusted the factors of age,sex,education level,smoking,diabetes,hypertension,body mass index(BMI),triglyceride(TG),and high-density lipoprotein cholesterol(HDL-C).Results There were significant differences in age,sex,BMI,education level,smoking,diabetes,hypertension,alanine aminotransferase,TG,and HDL-C between the non-NAFLD,SFL,and NASH groups(all P<0.05).There were also significant differences between the three groups in the total score of PSQI scale and the proportion of subjects with a score of 0—3 points for the 7 sleep components(all P<0.05).The multivariate adjustment model showed no significant association between sleep disorders and SFL,while long sleep latency(odds ratio[OR]=4.04,95%confidence interval[CI]:2.33—7.03,P<0.001),short sleep duration(OR=3.53,95%CI:1.83—6.82,P<0.001),and severe sleep disorders(OR=2.96,95%CI:1.48—5.93,P=0.002)were closely associated with the risk of NASH.Conclusion Overall sleep condition and its components of sleep disorders are not significantly associated with the simple fatty liver;however,long sleep latency,short sleep duration,and severe sleep disorders can increase the risk of NASH,which should be taken seriously in clinical practice.

ObjectiveTo evaluate the methodological quality and reporting quality of published guidelines/consensuses on traditional Chinese medicine （TCM）/integrated traditional Chinese and Western medicine diagnosis and treatment of nonalcoholic fatty liver disease （NAFLD）， and to provide a basis for formulating guidelines/consensuses on TCM/integrated traditional Chinese and Western medicine diagnosis and treatment of NAFLD in the future. MethodsDatabases including PubMed， Embase， Web of Science， CNKI， Wanfang Data， and CBM and the websites of China Association of Chinese Medicine and China Association of Integrative Medicine were searched for related articles published up to September 1， 2024. Two clinical researchers independently assessed the methodological quality and reporting quality of the guidelines/consensuses on TCM/integrated traditional Chinese and Western medicine diagnosis and treatment of NAFLD by using Appraisal of Guidelines for Research and Evaluation Ⅱ （AGREE Ⅱ） and Reporting Items for Practice Guidelines in Healthcare （RIGHT）. ResultsA total of nine guidelines/consensuses were included after literature screening， with four guidelines and five expert consensuses. The scores of different domains assessed by AGREE Ⅱ for the nine guidelines/consensuses were as follows： scope and purpose （47.1%）， stakeholder involvement （41.0%）， rigor of development （21.6%）， clarity of presentation （40.2%）， applicability （19.0%）， and editorial independence （19.6%）. The recommendation level of the articles was B level （recommended after revision） for four articles and C level （not recommended） for five articles. The RIGHT assessment showed high reporting rates for “Basic Information” and “Background”， while other areas needed to be improved. Currently， there was no international standard for the guidelines/consensuses on TCM/integrated traditional Chinese and Western medicine diagnosis and treatment of NAFLD， and the quality of these guidelines/consensuses needed to be enhanced to ensure comprehensiveness and credibility. ConclusionThere is still potential for improving the quality of guidelines/consensuses on TCM/integrated traditional Chinese and Western medicine diagnosis and treatment of NAFLD， and AGREE Ⅱ and RIGHT checklists should be strictly followed to ensure the fairness， scientific rigor， and transparency of these guidelines/consensuses.