Objective To delineate the current research landscape,emerging hotspots,and frontiers re-garding the relationship between the oral microbiome and digestive system diseases.Methods We retrieved publications from the Web of Science Core Collection database using topic-specific queries on"oral microbi-ome"and"digestive diseases."Bibliometric analysis was performed using VOSviewer,CiteSpace,and the"bibliometrix"package in R for data mining and visualization.Results A total of 1228 eligible articles were included.Analysis revealed that research on the correlation between oral microbiota and digestive system diseases will remain a global hotspot.Academic institutions dominated the publications,with centralized institutional distribution and team-based collaboration,though overall collaboration networks remained fragmented.Geo-graphically,the United States emerged as the leading contributor,followed by China and the United Kingdom.While China-U.S.collaborations were prominent,China's engagement with other regions remained limited.Current research hotspots focus on the interplay between oral microbiota and gut microbiota,inflam-matory bowel disease(IBD),and digestive system tumors.Conclusions Research in this field demonstrates high activity and diversity.Studies on the associations of oral microbiota with gut microbiota,IBD,and diges-tive system tumors(particularly esophageal,gastric,pancreatic,and colorectal cancers)remain prominent.Future studies should prioritize elucidating underlying mechanisms and innovating in biomarker discovery and application.However,insufficient collaboration and resource-sharing among institutions currently hinder pro-gress in this field.

Objective To delineate the current research landscape,emerging hotspots,and frontiers re-garding the relationship between the oral microbiome and digestive system diseases.Methods We retrieved publications from the Web of Science Core Collection database using topic-specific queries on"oral microbi-ome"and"digestive diseases."Bibliometric analysis was performed using VOSviewer,CiteSpace,and the"bibliometrix"package in R for data mining and visualization.Results A total of 1228 eligible articles were included.Analysis revealed that research on the correlation between oral microbiota and digestive system diseases will remain a global hotspot.Academic institutions dominated the publications,with centralized institutional distribution and team-based collaboration,though overall collaboration networks remained fragmented.Geo-graphically,the United States emerged as the leading contributor,followed by China and the United Kingdom.While China-U.S.collaborations were prominent,China's engagement with other regions remained limited.Current research hotspots focus on the interplay between oral microbiota and gut microbiota,inflam-matory bowel disease(IBD),and digestive system tumors.Conclusions Research in this field demonstrates high activity and diversity.Studies on the associations of oral microbiota with gut microbiota,IBD,and diges-tive system tumors(particularly esophageal,gastric,pancreatic,and colorectal cancers)remain prominent.Future studies should prioritize elucidating underlying mechanisms and innovating in biomarker discovery and application.However,insufficient collaboration and resource-sharing among institutions currently hinder pro-gress in this field.

Clinicians need to focus on various points in the diagnosis and treatment of insomnia.This article prescribed the treatment protocol based on the unique features,such as insomnia in the elderly,women experiencing specific physiologi-cal periods,children insomnia,insomnia in sleep-breathing disorder patients,insomnia in patients with chronic liver and kidney dysfunction.It pro-vides some reference for clinicians while they make decision on diagnosis,differentiation and treat-ment methods.

Objective:To construct a chronic obstructive pulmonary disease (COPD) assessment test (CAT) score prediction model based on a deep network fused with air data, and to explore its significance.Methods:From February 2015 to December 2017, the outdoor environmental monitoring air data near the residential area of the patients with COPD from the Respiratory Outpatient Clinics of Peking University Third Hospital, Peking University People′s Hospital and Beijing Jishuitan Hospital were collected and the daily air pollution exposure of patients was calculated. The daily CAT scores were recorded continuously. The CAT score of the patients in the next week was predicted by fusing the time series algorithm and neural network to establish a model, and the prediction accuracy of the model was compared with that of the long short-term memory model (LSTM), the LSTM-attention model and the autoregressive integrated moving average model (ARIMA).Results:A total of 47 patients with COPD were enrolled and followed up for an average of 381.60 days. The LSTM-convolutional neural networks (CNN)-autoregression (AR) model was constructed by using the collected air data and CAT score, and the root mean square error of the model was 0.85, and the mean absolute error was 0.71. Compared with LSTM, LSTM-attention and ARIMA, the average prediction accuracy was improved by 21.69%.Conclusion:Based on the air data in the environment of COPD patients, the fusion deep network model can predict the CAT score of COPD patients more accurately.

Objective:To observe the differences in clinical efficacy of Jieyu Anshen Decoction combined with auricular points and oral tibolone in the treatment of patients with perimenopausal sleep disorders, and provide effective treatment for patients with contraindications to hormone supplement therapy in clinicalMethods:Using a randomized trial design, from July 2018 to August 2020,102 perimenopausal insomnia patients in International Peace Maternity and Child Health Hospital of China Welfare Institutewith kidney deficiency and liver depression who met the inclusion criteria were randomly divided into a treatment group and a control group with 51 cases each. The treatment group took Jieyu Anshen Recipe. At the same time, unilateral auricular point pressing treatment was given, and the opposite ear was changed in 5 d. The control group was treated with tiburon for a period of 3 months. The changes in the scores of each scale were observed in the two groups after 1 month and 3 months treatment. The scale included Pittsburgh sleep quality index (PSQI), modified Kupperman score (KMI), Generalized Anxiety Disorder Scale (GAD-7) and Patient Health Questionnaire Depression Screening Scale (PHQ-9). Its effectiveness and differences were evaluated and analyzed comprehensively through the above scale.Results:PSQI, KMI, GAD-7, PHQ-9 scores decreased significantly in the control and treatment groups after 1 month and 3 months of treatment, and the difference were statistically significant: PSQI: (8.58 ± 1.94) and (5.81 ± 1.93) scores vs. (13.10 ± 2.53), (9.15 ± 2.59) and (6.33 ± 1.98) scores vs.(13.52 ± 2.27) scores; KMI: (19.92 ± 2.16) and (14.67 ± 4.11) scores vs. (28.54 ± 7.65) scores, (19.02 ± 5.92) and(14.10 ± 4.37) scores vs. (27.42 ± 7.34) scores; GAD-7: (4.54 ± 2.03) and (3.81 ± 1.63) scores vs. (5.69 ± 2.95) scores, (3.71 ± 2.48) and (3.32 ± 1.73) scores vs. (4.90 ± 3.17) scores; PHQ-9:(6.90 ± 2.52) and (4.98 ± 1.96) scores vs. (9.83 ± 3.71) scores, (6.15 ± 2.62) and (4.44 ± 1.81) scores vs. (9.02 ± 3.73) scores ( P<0.01). PSQI, KMI, PHQ-9, and GAD-7 scores declined between the two groups, but there were no significant differences between the two groups ( P>0.05). After 1 month and 3 months of treatment, using PSQI scale and KMI score, the total efficiency of patients in the control group was slightly higher than that of the treatment group, but the difference was not statistically significant ( P>0.05); after 1 month and 3 months of treatment, using PHQ-9 score and GAD-7 score, the total efficiency of patients in the treatment group was slightly higher than that of the control group, but the difference was not statistically significant ( P>0.05). Conclusions:Traditional Chinese medicine combined with ear acupoint pressing has similar effects to tibolone in treating perimenopausal insomnia with kidney deficiency and liver depression. It can significantly improve the quality of sleep and quality of life of patients, and has good safety. For patients who are not suitable for hormone, Chinese medicine can be used as an alternative. The therapies are worthy of clinical application.