AIM:To compare the differences and correlation of Spot vision screener and autorefractor in measuring preschool children refractive status under natural pupil conditions.METHODS: A cross-sectional study was conducted from October to November 2021. A total of 311 children from a senior kindergarten in Jiangyin city were randomly selected and underwent refraction test using both Spot vision screener and autorefractor without cycloplegia. The astigmatism was decomposed into J0 and J45 by the Thibos vector analysis. The differences in spherical equivalence(SE), sphere, cylinder, J0 and J45 measured by these two devices were compared using Wilcoxon signed rank test. Spearman analysis was employed to analyze the correlation.RESULTS:One child was excluded from the initial 311 children due to sphere power <-7.50 D, exceeding the detection range of the Spot vision screener(-7.50 to +7.50 D). A total of 310 children were ultimately included in this study, and the data of right eye of each child were selected. There was no statistically significant difference between the SE measured by the Spot vision screener and the autorefractor(P=0.598), while the difference in sphere, cylinder, J0, and J45 was statistically significant(all P<0.001). Measurements from these two devices had a positive correlation [SE(rs=0.350, P<0.001), sphere(rs=0.403, P<0.001), cylinder(rs=0.545, P<0.001), J0 (rs=0.672, P<0.001), J45 (rs=0.439, P<0.001)].CONCLUSION:The results of Spot vision screener and autorefractor cannot be replaced by each other, and different referral indicators should be set for these two devices in vision screening.

Objective: To analyze the trends and hotspots in research related to microbiomes and microbes of dental caries; in addition, the study seeks to provide a reference for caries research. Methods: We searched the Web of Science Core Collection (WOSCC) to extract relevant literature in the field of microbiomes and microbes of dental caries published from 2014 to 2023. We used bibliometric visualization evaluation methods such as CiteSpace to conduct visualized analysis of factors that include the number of publications, journals, countries, authors, institutions, co-cited references, and keywords. Results: A total of 3 192 references were extracted, including 2 664 articles and 528 reviews. The number of annual publications is increasing. The United States and China lead the number of publications, with the United States demonstrating a greater capacity for international collaboration. The top 10 journals in percentage of literature are mainly in the field of dentistry followed by the field of microbiology. The author cooperation networks with the highest number of publications include the network led by Zhou Xuedong of Sichuan University, and the network led by Xu Hockin H.K and Weir Michael D of the University of Maryland, Baltimore. The research on microbiomes and microbes of dental caries focuses on the cariogenic toxicity and interaction of microorganisms, oral microbiomes, and the relationship between dental caries and systemic diseases. The articles with high citation frequency mainly involve topics such as dental caries, oral biofilm, oral microbiota, and Streptococcus mutans. Keyword research showed that “dental caries,” “Streptococcus mutans,” “bacteria,” “dental plaque,” and “antibacterial activity” have been the primary focus of research in the last decade. The number of keywords, such as “health” and “oral health,” is on the rise. The latest emergence of “gut microbiome/microbiota” suggests that the oral gut microbiome axis is at the forefront of research in this field, and researchers’ focus is gradually shifting toward the connection between dental caries and systemic diseases. Conclusion Over the last decade, the number of publications in the field microbiomes and microbes of dental caries has increased annually. This research trend will be the multi-omics of the overall oral microbiome, and new research methods and techniques will contribute to the field of cariology.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.