ObjectiveTo sort out the pre-ethical review status of drug clinical trials in a tertiary A hospital， summarize practical experience， and provide references for pre-ethical review. MethodA retrospective analysis was conducted on the ethical review of pre-ethical projects in a tertiary A hospital from 2018 to 2023. ResultsFrom 2018 to 2023， a total of 285 pre-ethical projects were reviewed in this tertiary hospital， including 79 projects where it served as the leading unit. Among these， 279 clinical trials ultimately received approval of the ethical review committee， while 6 projects were not approved due to sponsors’ refusal to modify study protocols. In terms of trial phases， phase III clinical trials constituted the largest proportion， and the oncology center was the department with the highest number of projects. In 2023， the average time for pre-ethical review projects from submission to approval was 43 calendar days， 3 days longer than for other project types. In 2023， this hospital reviewed 75 pre-ethical review projects， including 58 where it served as a participating unit. Among these， 42 projects received approval later than the leading unit， while 9 projects were approved earlier than the leading unit’s ethical approval date. Among the pre-ethical review projects applied in 2023， 70 projects obtained drug clinical trial notifications from the National Medical Products Administration， while 5 projects had unknown notification status due to the lack of ethical approval or discontinuation. Of the projects receiving approval notifications， 16 were annotated with matters requiring enhanced attention during clinical trials， and 7 necessitated protocol improvements. ConclusionThis tertiary A hospital has implemented multiple measures to optimize the management of pre-ethical review. This ethical review model does not compromise the quality of ethical review and contributes to accelerating the initiation of clinical trials. Notably， it is crucial to construct a patient-centered drug development system. Clinical trials guided by this concept align with ethical values， laying the foundation for the smooth conduct of clinical trials， assisting in the drug development process， and safeguarding patients’ medication needs.

Objective To explore the effect of resistance exercise on glycolipid metabolism in over-weight or obese people,with the aim of providing reference for the clinical development of appropriate resist-ance exercise programs.Methods PubMed,Cochrane Library,EmBase,Web of Science,CNKI,Wanfang Data Knowledge Service Platform and VIP database were systematically searched to obtain the relevant litera-ture on the effects of resistance exercise on glucose and lipid metabolism from the establishment of the library to December 31,2023 in overweight and obese populations.The type of literature was limited to randomized controlled studies in which the exercise intervention included resistance exercise in the test group but did not include resistance exercise in the control group.The literature was screened by 2 researchers according to in-clusion and exclusion criteria and relevant data were extracted.Meta-analysis of included literature was per-formed using RevMan 5.3 software,and publication bias was assessed using funnel plots.Results A total of 17 papers and 700 study subjects were included,with 351 cases in the test group,and 349 cases in the control group.Meta-analysis results showed that compared with the control group,the glycosylated hemoglobin of the test group with resistance exercise[SMD(95％CI)=-0.30(-0.53--0.07),P=0.010],fasting blood glucose[SMD(95％CI)=-0.58(-0.90--0.26),P＜0.001],insulin re-sistance index[SMD(95％CI)=-0.90(-1.42--0.38),P＜0.001],and low-density lipoprotein cholesterol(LDL-C)[SMD(95％CI)=-0.28(-0.53--0.04),P=0.020]levels were reduced.Subgroup analysis showed that the glucose metabolism levels of the test group with only resistance exercise and a combination of resistance-anaerobic exercise were significantly lower than those of the control group(both P＜0.05).The heterogeneity of the effect of resistance exercise on glucose metabolism in Asian popu-lations(I2=57％)was smaller than that in Caucasion(I2=76％)and other populations(I2=94％),and the level of decrease in glucose metabolism indexes was significant[SMD(95％CI)=-1.15(-1.73--0.57),P＜0.001].Conclusion Resistance exercise can significantly reduce the level of glycolipid me-tabolism indexes in overweight or obese people.

Objective To evaluate the effects of physical exercise on liver function and size in adolescents.Methods A total of 361 adolescent subjects from Jining,Shandong Province were selected and divided into low,moderate,and high-intensity exercise groups according to the frequency of moderate intensity exercise.Physical ex-amination tests were conducted including morphological indicators,blood biochemical indicator measurements,liver size and the presence of non-alcoholic fatty liver disease.Independent sample t-tests and variance analysis were per-formed using SPSS 26.0,and correlation analysis was conducted using Spearman correlation analysis and multivari-ate linear regression analysis.Results Compared with the moderate and low-intensity exercise groups,the high-intensity exercise group had significantly lower diastolic blood pressure,homeostatic model assessment of insulin resistance(HOMA-IR),and triglycerides(TG),as well as significantly higher height,maximum oblique diameter of the right liver lobe,and direct bilirubin(DBIL).Correlation analysis showed that as exercise intensity in-creased,aspartate aminotransferase/alanine aminotransferase,DBIL,and the maximum oblique diameter of the right liver lobe increased significantly(P＜0.05).The results of the cumulative effect of exercise type and intensity indicate that exercise type does not influence the effect of exercise intensity on liver function and size.Conclusions Regular exercise in adolescents can not only shape body,but also improve glucose and lipid metabolism and en-hance liver function.

To explore the effects of different exercise prescriptions on glycemic metabolism in East Asian patients with type 2 diabetes mellitus (T2DM) and to compare the differences in the impact of population characteristics and exercise components on glycemic metabolism.

To investigate the correlation between vitamin D nutritional status and insulin resistance in pubertal adolescents.

To investigate the mediating role of vitamin D in the association between exerciseand triglyceride among adolescents, as well as its potential molecular mechanisms.

To investigate body composition and associated factors in adolescents undergoing long-term regular sports training.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

This study aimed to investigate the relationship between homeostatic model assessment of insulin resistance(HOMA-IR), body composition and physical exercise of adolescents.