Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Single cell RNA sequencing technique provides a strong technical support for the analysis of cell heterogeneity in biological tissues, and has been widely used in biomedical research. In recent years, considerable scRNA-seq data have been accumulated in the research of ocular fundus diseases. The ocular fundus is abundant for the network of vessel and neuron, which leads to the complicated pathogenesis of fundus diseases. Through single cell RNA sequencing technique, the expression of thousands of genes of certain cell types or even subtypes can be obtained in the disease environment. Single cell RNA sequencing technique accurately reveals the pathogenic cell types and pathogenic mechanisms of ocular fundus diseases such as neovascular retinopathy, which provides a theoretical basis for the birth of new diagnosis and treatment targets. The construction of multi-omics single-cell database of ocular fundus diseases will enable high-quality data to be further explored and provide an analysis platform for ophthalmic researchers.

Objective To investigate the effects of probiotics combined with sacubitril valsartan and amiodarone on short-term and long-term efficacy of patients with atrial fibrillation after radiofrequency ablation. Methods A total of 90 patients with atrial fibrillation after radiofrequency ablation in the First Hospital of Zhangjiakou City from June 2021 to June 2022 were selected and randomly divided into three groups, with 30 cases in each group. Control group was treated with amiodarone, sacubitril valsartan group was treated with amiodarone and sacubitril valsartan, and probiotics group was treated with probiotics, amiodarone and sacubitril valsartan. The recurrence situation, atrial structure indexes[left atrial diameter (LAD), left ventricular ejection fraction (LVEF), left ventricular end systolic volume index (LVESVI), left atrial volume (LAV), left ventricular end diastolic volume index (LVEDVI)], myocardial fibrosis indexes[galactin-3 (Gal-3), soluble growth stimulation expression gene 2 protein (sST2)], inflammatory response indexes[intercellular adhesion molecule-1 (ICAM-1), C reactive protein (CRP), interleukin-6 (IL-6)], neuroendocrine hormone indexes[aldosterone, norepinephrine (NE), angiotensin Ⅱ (AngⅡ)], metabolites of gut microbiota[total bile acids, trimethylamine oxide (TMAO)] and incidence of adverse events were compared among the three groups. Results At 12 months after treatment, the recurrence rate of the probiotics group was significantly lower than that of the sacubitril valsartan group and the control group (P < 0.05); after 3, 6 and 12 months of treatment, the LAD, LAV, LVESVI, LVEDVI, sST2 and Gal-3 in the probiotics group were significantly lower than those in the sacubitril valsartan group and the control group (P < 0.05), and these indexes in the sacubitril valsartan group were also significantly lower than those in the control group (P < 0.05); after 3, 6 and 12 months of treatment, the LVEF of the probiotics group was significantly higher than that of the sacubitril valsartan group and the control group (P < 0.05), and the LVEF of the sacubitril valsartan group was also significantly higher than that of the control group (P < 0.05); after 3, 6 and 12 months of treatment, the CRP, IL-6, ICAM-1, NE, aldosterone and AngⅡ in the probiotics group were significantly lower than those in the sacubitril valsartan group and the control group, and these indexes in the sacubitril valsartan group were also significantly lower than those in the control group (P < 0.05); after 3, 6 and 12 months of treatment, the TMAO and total bile acids in the probiotics group were significantly lower than those in the control group and the sacubitril valsartan group (P < 0.05); there was no significant difference in the incidence of adverse events among the three groups (P>0.05). Conclusion Probiotics combined with sacubitril valsartan and amiodarone can improve atrial structure after radiofrequency ablation of atrial fibrillation, inhibit myocardial fibrosis, reduce inflammatory response, regulate neuroendocrine hormones and metabolites of gut microbiota, prevent long-term recurrence of atrial fibrillation, and have a high safety.