Objective To investigate the trend of breast cancer treatment and prognosis in 30 years. Methods Total 1 092 patients with breast cancer treated in the Peking Union Medical College Hospital between 1975 and 2006 were reviewed in six time phases for therapy, metastasis, and survival rate. Six time phases were 1975-1980 years, 1985-1986 years, 1990-1991 years, 1995-1996 years, 2000-2001 years and 2005-2006 years. Results Radical operation was the major treatment (68.9%， 91/132) of breast cancer in 1975-1980 and then became less popular until it was totally abandoned after 2001. The number of modified radical operation begun to rise from 1980 and reached its peak in 1995-1996 (94.9%， 146/154). The number of lumpectomy had been increasing since 2000, and that of chemotherapy had been rising since 1985-1986. But there was no apparent change of the percentage of radiotherapy treatment. In 1975-1980, only 0.8% （1/126） patients received endocrine therapy, but in 1990-1991, the ratio was 66.0% （33/50）. The metastasis and recurrence ratio was declining gradually in the 6 time phases (P＜0.05). The 5-year and 10-year disease free survival rates in the groups of 1990-1991, 1995-1996, 2000-2001, and 2005-2006 were apparently higher than those in two earlier groups of 1975-1980 and 1985-1986 (P＜0.05). Conclusion The conclusions of laboratory experiments and clinical trials on breast cancer are critical for improving prognosis.
Objective To investigate the diagnostic value of nucleotide-binding oligomerization domain-like receptor protein 3 (NLRP3) inflammatory body and sphingosine-1-phosphate (S1P) in early diabetic nephropathy and its progression. Methods A total of 600 diabetic patients who were treated in Shaanxi Provincial People’s Hospital between January 2018 and December 2020 were selected, and the patients were divided into simple diabetes group, early diabetic nephropathy group and clinical diabetic nephropathy group. The expression of NLRP3 messenger RNA (mRNA) in fasting venous blood mononuclear cells was detected by real-time fluorescence quantitative polymerase chain reaction, and the level of S1P was detected by enzyme-linked immunosorbent assay double-antibody sandwich method. Pearson correlation analysis was used to explore the correlation between blood NLRP3 mRNA and S1P levels. The receiver operating characteristic curve was used to evaluate the diagnostic value of blood NLRP3 mRNA and S1P levels in early diabetic nephropathy and clinical diabetic nephropathy. Results Among the 600 diabetic patients, 205 were in the simple diabetes group, 198 in the early diabetic nephropathy group and 197 in the clinical diabetic nephropathy group. There was no significant difference in age and gender among the three groups (P>0.05). The blood levels of NLRP3 mRNA and S1P in the clinical diabetic nephropathy group were higher than those in the early diabetic nephropathy group and the simple diabetes group, the blood NLRP3 mRNA and S1P levels in the early diabetic nephropathy group were higher than those in the simple diabetes group. The differences were statistically significant, and the blood NLRP3 mRNA levels of the three groups were 2.69±0.64 vs. 2.05±0.56 vs. 1.76±0.51, and the S1P levels were (1.49±0.27) vs. (1.16±0.13) vs. (0.89±0.07) μmol/L (P<0.05). There was a positive correlation between blood NLRP3 mRNA and S1P level in patients (r=0.455, P<0.001). Blood NLRP3 mRNA, S1P levels and their combined detection can be used to diagnose whether diabetic patients develop early diabetic nephropathy (area under the receiver operating characteristic curve were 0.645, 0.968, 0.971; P<0.001) and whether it progressed to clinical diabetic nephropathy (area under the receiver operating characteristic curve were 0.825, 0.918, and 0.945; P<0.001). Conclusion Blood NLRP3 mRNA and S1P levels can be used to diagnose early diabetic nephropathy and evaluate its disease progression.
ObjectiveTo investigate the effect of indocyanogen green retention rate (ICGR) measurement and Child-Pugh classification of liver function in the preoperative evaluation of hepatic functional reservation. MethodsThe level of ICGR at 15 min (ICGR15) and the percentage of liver fibrosis in 103 patients with liver cancer were measured before hepatectomy, and the Child-Pugh classification of liver function was evaluated before and after the operations, and their connections were analyzed. ResultsAs the rise of Child-Pugh classification of liver function, the percentage of liver fibrosis increased gradually, there were significant differences between any two Child-Pugh classification (Plt;0.05). There was a linear correlation between the ICGR15 and the liver fibrosis percentage (rs=0.960, Plt;0.05). The value of preoperative ICGR15 in patients with postoperative Child-Pugh classification from grade A to grade B or grade B to grade C was gnificantly higher than that in patients with stabilization of Child-Pugh classification before and after operations (Plt;0.05). ConclusionICGR15 combined with Child-Pugh classification can improve the accuracy for the evaluation of preoperative hepatic functional reservation.
ObjectiveTo investigate the construction strategy of a knowledge base for health technology assessment (HTA) indicators based on a multi-granularity knowledge representation model, in order to meet the users' diverse demands for HTA knowledge services. MethodsFirstly, we constructed a multi-granularity HTA indicator knowledge representation model based on systematically analyzing the content and structure of the HTA indicator system in literature. Secondly, we extracted multi-granularity HTA indicator knowledge from literatures and conduct subject indexing in a human-computer collaborative way. Finally, based on the HTA knowledge service requirements, a prototype of the HTA indicator knowledge base-HTA Indicators was designed and developed. ResultsA multi-granularity HTA indicator knowledge representation model was constructed, covering 5 core knowledge units(indicator systems, indicator items, formulas, measurement variables, and subjects), 20 types of attributes, and 12 types of relationships. This model represents the intrinsic characteristics and connections between multi-granularity indicator knowledge units. Knowledge extraction and subject indexing of multi-grain HTA indicators were conducted based on 227 HTA indicator documents, forming instance data. Finally, a prototype of the HTA indicator knowledge base, named HTA Indicators, was developed.HTA Indicators provides services such as multi-granularity HTA indicator knowledge retrieval, navigation, and linking. ConclusionThe construction strategy of the HTA indicator knowledge base based on the multi-granularity knowledge representation model is feasible. The indicator knowledge base can achieve multi-dimensional semantic organization of indicator knowledge, provide multi-level and multi-dimensional indicator knowledge retrieval and discovery services, and meet the users' demand for precise HTA knowledge. In the future, we will explore the use of cutting-edge technologies such as large language models to achieve the automated construction of large-scale HTA knowledge, thereby enhancing the efficiency and intelligence level of knowledge base construction.