1.Development of intelligent equipment for rapid microbial detection of Atractylodis Macrocephalae Rhizoma decoction pieces based on measurement technology for traditional Chinese medicine manufacturing.
Yang LIU ; Wu-Zhen QI ; Yu-Tong WU ; Shan-Xi ZHU ; Xiao-Jun ZHAO ; Qia-Tong XIE ; Yu-Feng GUO ; Jing ZHAO ; Nan LI ; Shi-Jun WANG ; Qi-Hui SUN ; Zhi-Sheng WU
China Journal of Chinese Materia Medica 2025;50(16):4610-4618
Microbial detection and control of traditional Chinese medicine(TCM) decoction pieces are crucial for the quality control of TCM preparations. It is also a key area of research in the measurement technology and equipment development for TCM manufacturing. Guided by TCM manufacturing measurement methodologies, this study presented a design of a novel portable microbial detection device, using Atractylodis Macrocephalae Rhizoma decoction pieces as a demonstration. Immunomagnetic separation technology was employed for specific isolation and labeling of target microorganisms. Enzymatic signal amplification was utilized to convert weak biological signals into colorimetric signals, constructing an optical biosensor. A self-developed smartphone APP was further applied to analyze the colorimetric signals and quantify target concentrations. A portable and automated detection system based on Arduino microcontroller was developed to automatically perform target microbial separation/extraction, as well as mimetic enzyme labeling and catalytic reactions. The developed equipment specifically focuses on the rapid and quantitative microbial analysis of TCM active pharmaceutical ingredients, intermediates in TCM manufacturing, and final TCM products. Experimental results demonstrate that the equipment could detect Salmonella in samples within 2 h, with a detection limit as low as 5.1 × 10~3 CFU·mL~(-1). The equipment enables the rapid detection of microorganisms in TCM decoction pieces, providing a potential technical solution for on-site rapid screening of microbial contamination indicators in TCM. It has broad application prospects in measurement technology for TCM manufacturing and offers strong technical support for the modernization, industrialization, and intelligent development of TCM.
Drugs, Chinese Herbal/analysis*
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Atractylodes/microbiology*
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Rhizome/microbiology*
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Biosensing Techniques/methods*
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Medicine, Chinese Traditional
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Colorimetry/instrumentation*
;
Quality Control
2.The modulating effect on cortical functioning of multifocal transcranial direct current stimulation of the cortex with different polarity combinations
Yufei FANG ; Chenbin XI ; Huansong LI ; Shuo QI ; Jinglun YU ; Zhen WEI ; Zhqiang LIANG
Chinese Journal of Physical Medicine and Rehabilitation 2025;47(8):745-753
Objective:To explore any effect of excitatory and inhibitory multi-focal transcranial direct current stimulation (m-tDCS) on cortical functioning in healthy adults.Methods:Fifteen healthy participants received 20-minute excitatory and inhibitory episodes of m-tDCS targeting C1-C2-FC1-FC2. Finite element analysis and functional near-infrared spectroscopy were then used to model the normal component of the electric field (En) applied and to monitor the oxygenated hemoglobin (HbO), deoxygenated hemoglobin (HbR), and total hemoglobin (THb) concentrations in the targeted regions during the stimulation.Results:The excitatory protocol induced En values of 0.057V/m and 0.058V/m in the left and right hemispheres, respectively, with an average of 0.058V/m, while the inhibitory one evoked corresponding En values of -0.057V/m and -0.058V/m with an average of -0.058V/m. During excitatory m-tDCS, HbO and THb concentrations in the target cortices were higher than in the inhibitory protocol, with significant differences at FC1, FC2, and C2 for HbO, and at FC2 and C2 for THb. However, no significant inter-group differences in HbR concentrations were observed. Moreover, either protocol induced severe adverse reactions including pain, though the pain decreased with prolonged stimulation.Conclusions:Both excitatory and inhibitory m-tDCS modulate cortical function among healthy individuals. Excitatory m-tDCS is the more effective in enhancing cortical excitability.
3.The modulating effect on cortical functioning of multifocal transcranial direct current stimulation of the cortex with different polarity combinations
Yufei FANG ; Chenbin XI ; Huansong LI ; Shuo QI ; Jinglun YU ; Zhen WEI ; Zhqiang LIANG
Chinese Journal of Physical Medicine and Rehabilitation 2025;47(8):745-753
Objective:To explore any effect of excitatory and inhibitory multi-focal transcranial direct current stimulation (m-tDCS) on cortical functioning in healthy adults.Methods:Fifteen healthy participants received 20-minute excitatory and inhibitory episodes of m-tDCS targeting C1-C2-FC1-FC2. Finite element analysis and functional near-infrared spectroscopy were then used to model the normal component of the electric field (En) applied and to monitor the oxygenated hemoglobin (HbO), deoxygenated hemoglobin (HbR), and total hemoglobin (THb) concentrations in the targeted regions during the stimulation.Results:The excitatory protocol induced En values of 0.057V/m and 0.058V/m in the left and right hemispheres, respectively, with an average of 0.058V/m, while the inhibitory one evoked corresponding En values of -0.057V/m and -0.058V/m with an average of -0.058V/m. During excitatory m-tDCS, HbO and THb concentrations in the target cortices were higher than in the inhibitory protocol, with significant differences at FC1, FC2, and C2 for HbO, and at FC2 and C2 for THb. However, no significant inter-group differences in HbR concentrations were observed. Moreover, either protocol induced severe adverse reactions including pain, though the pain decreased with prolonged stimulation.Conclusions:Both excitatory and inhibitory m-tDCS modulate cortical function among healthy individuals. Excitatory m-tDCS is the more effective in enhancing cortical excitability.
4.Analysis of Genetic Structure among Different Populations Based on 13 Auto-somal STR Loci in CODIS Core
Xi HE ; Zhen TANG ; Ming-Ying XIA ; Yi-Qi ZHAO ; Yu-Ran LUO ; Shi-Lin LI
Journal of Forensic Medicine 2025;41(3):228-236
Objective To investigate the genetic differences among different populations based on 13 autosomal STR loci in CODIS core.Methods Data of 13 autosomal STR loci(CSF1PO,FGA,THO1,TPOX,vWA,D3S1358,D5S818,D7S820,D8S1179,D13S317,D16S539,D18S51,D21S11)were collected from 95 populations in scientific journals between 1999 and 2021,soursed from the PubMed database,which had been published.Allele frequencies of loci were sorted out and forensic genetic parameters including gene differentiation coefficient(Gst),total heterozygosity(Ht),subpopula-tion heterozygosity(Hs)values,and Nei's DA genetic distance were calculated.Principal component analysis,phylogenetic tree,and multidimensional scale analysis were conducted to assess population ge-netic structure.Results A total of 265 alleles were detected at the 13 STR loci in these 95 popula-tions.The mean values of Gst,Ht,and Hs were 0.023 247,0.797 915 and 0.779 365.Population genetic analyses reflected significant differences among populations from Asia,Africa and Europe.In Asian populations,there was a certain degree of distinction between mainland and island populations;the Han population showed a certain degree of distinction with surrounding populations in mainland;while within the Han population,there were two distinct clusters formed by the northern Han and the south-ern Han.Conclusion The 13 autosomal STR loci in CODIS core demonstrate potential value for popu-lation identification across different groups,and may be used for the differentiation of ethnic groups,among different continental populations.
5.Effects of Rhodojaponin Ⅲ mediated oxidative stress pathway on cartilage injury in rats with post-traumatic osteoarthritis
Ju LIU ; Bin SU ; Qi PAN ; Zhen-Hong CUI ; Xi-Ming WANG
The Chinese Journal of Clinical Pharmacology 2024;40(7):1034-1038
Objective To investigate the effects of Rhodojaponin Ⅲ on cartilage injury in post-traumatic osteoarthritis rats and its mechanism.Methods SD rats were randomly divided into sham operation group,model group(based on cruciate ligamentectomy),low dose experimental group(after modeling,0.12 mg·kg-1 Rhodojaponin Ⅲ was given by intragastric administration),high dose experimental group(after modeling,0.24 mg·kg-1 Rhodojaponin Ⅲ was given by intragastric administration),positive drug group(2 mL/100 g glucosamine sulfate was given intragastric administration after modeling).Ten rats in each group were given continuous intragastric administration for 28 days,blood was collected from the heart,and cartilage tissue was taken from the rats.Mankin's score method was used to analyze the cartilage tissue of rats in each group,Western blot method was used to detecte the proteins level,enzyme-linked immunosorbent assay(ELISA)test was used to detect the expression level of serum bone formation indexes and related factors in cartilage tissue,and kit method was used to detect the expression of oxidative stress related indexes.Results The Mankin's scores of sham operation group,model group,low dose experimental group,high dose experimental group and positive drug group were 0.10±0.30,5.30±0.46,4.00±0.63,3.10±0.54 and 1.50±0.81;bone gla protein(BGP)level were(10.25±0.77),(2.39±0.34),(4.87±0.27),(7.99±0.51)and(8.55±0.71)ng·mL-1;the expression levels of cleaved cysteine aspartate proteinase-3(Cl-caspase-3)protein were 0.25±0.02,0.86±0.06,0.65±0.05,0.47±0.04 and 0.33±0.03;superoxide dismutase(SOD)activity were(109.07±7.51),(60.24±5.73),(67.99±4.73),(76.16±8.84)and(80.11±3.96)U·mg-1;the protein levels of nuclear transcription factor E2 related factors(Nrf2)were 1.03±0.08,0.33±0.04,0.43±0.05,0.75±0.10 and 0.74±0.09;heme oxygen-1(HO-1)protein expression levels were 0.88±0.08,0.27±0.04,0.39±0.04,0.56±0.10 and 0.58±0.06,respectively.Model group compared with sham operation group,low dose experimental group,high dose experimental group compared with model group;low dose experimental group compared with high dose experimental group,the differences of the above indexes were all statistically significant(all P<0.05).Conclusion Rhodojaponin Ⅲ may inhibit oxidative stress,inflammatory response,regulate bone metabolism and improve cartilage injury in post-traumatic osteoarthritis rats by activating Nrf2/HO-1 pathway.
6.Inferring Mycobacterium Tuberculosis Drug Resistance and Transmission using Whole-genome Sequencing in a High TB-burden Setting in China
Feng Yu FAN ; Xin Dong LIU ; Wang Yi CHEN ; Chao Xi OU ; Zhi Qi MAO ; Ting Ting YANG ; Jiang Xi WANG ; Cong Wen HE ; Bing ZHAO ; Jiang Zhen LIU ; Maiweilanjiang ABULIMITI ; Maimaitiaili AIHEMUTI ; Qian GAO ; Lin Yan ZHAO
Biomedical and Environmental Sciences 2024;37(2):157-169
Objective China is among the 30 countries with a high burden of tuberculosis(TB)worldwide,and TB remains a public health concern.Kashgar Prefecture in the southern Xinjiang Autonomous Region is considered as one of the highest TB burden regions in China.However,molecular epidemiological studies of Kashgar are lacking. Methods A population-based retrospective study was conducted using whole-genome sequencing(WGS)to determine the characteristics of drug resistance and the transmission patterns. Results A total of 1,668 isolates collected in 2020 were classified into lineages 2(46.0%),3(27.5%),and 4(26.5%).The drug resistance rates revealed by WGS showed that the top three drugs in terms of the resistance rate were isoniazid(7.4%,124/1,668),streptomycin(6.0%,100/1,668),and rifampicin(3.3%,55/1,668).The rate of rifampicin resistance was 1.8%(23/1,290)in the new cases and 9.4%(32/340)in the previously treated cases.Known resistance mutations were detected more frequently in lineage 2 strains than in lineage 3 or 4 strains,respectively:18.6%vs.8.7 or 9%,P<0.001.The estimated proportion of recent transmissions was 25.9%(432/1,668).Multivariate logistic analyses indicated that sex,age,occupation,lineage,and drug resistance were the risk factors for recent transmission.Despite the low rate of drug resistance,drug-resistant strains had a higher risk of recent transmission than the susceptible strains(adjusted odds ratio,1.414;95%CI,1.023-1.954;P = 0.036).Among all patients with drug-resistant tuberculosis(DR-TB),78.4%(171/218)were attributed to the transmission of DR-TB strains. Conclusion Our results suggest that drug-resistant strains are more transmissible than susceptible strains and that transmission is the major driving force of the current DR-TB epidemic in Kashgar.
7.Recent advance in synaptic plasticity alteration in Fragile X syndrome
Na QI ; Xi WU ; Min LI ; Junyu HUANG ; Yan ZENG ; Liang CHEN ; Zhen WEI
Chinese Journal of Neuromedicine 2024;23(4):404-408
Fragile X syndrome (FXS) is a neurodevelopmental synaptopathy caused by loss of fragile X mental retardation protein (FMRP); abnormal synaptic plasticity is the leading pathological cause of cognitive impairment, fear and anxiety, hyperactivity and stereotyped behavior in FXS patients. In recent years, breakthroughs have been made in functional study of synaptic plasticity in FXS, providing a new theoretical basis for FXS. This article mainly summarizes the dysregulation and influencing factors of synaptic plasticity in FXS, as well as the strategy of targeted synaptic plasticity in FXS, so as to deepen the understanding of medical workers.
8.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
9.Guideline for clinical comprehensive evaluation of Chinese patent medicine (2022 version).
Wei-An YUAN ; Jun-Hua ZHANG ; Jian-Ping LIU ; Zhong-Qi YANG ; Jun-Ling CAO ; Xing LIAO ; Xiao-Yu XI ; Mei HAN ; Wen-Yuan LI ; Zhen-Wen QIU ; Shi-Yin FENG ; Yuan-Yuan GUO ; Lu-Jia CAO ; Xiao-Hong LIAO ; Yan-Ling AI ; Ju HUANG ; Lu-Lu JIA ; Xiang-Fei SU ; Xue WU ; Ze-Qi DAI ; Ji-Hua GUO ; Bing-Qing LU ; Xiao-Xiao ZHANG ; Jian-Yuan TANG
China Journal of Chinese Materia Medica 2023;48(1):256-264
Currently,the research or publications related to the clinical comprehensive evaluation of Chinese patent medicine are increasing,which attracts the broad attention of all circles. According to the completed clinical evaluation report on Chinese patent medicine,there are still practical problems and technical difficulties such as unclear responsibility of the evaluation organization,unclear evaluation subject,miscellaneous evaluation objects,and incomplete and nonstandard evaluation process. In terms of evaluation standards and specifications,there are different types of specifications or guidelines with different emphases issued by different academic groups or relevant institutions. The professional guideline is required to guide the standardized and efficient clinical comprehensive evaluation of Chinese patent medicine and further improve the authority and quality of evaluation. In combination with the characteristics of Chinese patent medicine and the latest research achievement at home and abroad,the detailed specifications were formulated from six aspects including design,theme selection,content and index,outcome,application and appraisal,and quality control. The guideline was developed based on the guideline development requirements of China Assoication of Chinese medicine. After several rounds of expert consensus and public consultation,the current version of the guideline has been developed.
Medicine, Chinese Traditional
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Nonprescription Drugs
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Consensus
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China
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Reference Standards
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Drugs, Chinese Herbal
10.Development and validation of risk prediction model for new-onset cardiovascular diseases among breast cancer patients: Based on regional medical data of Inner Mongolia.
Yun Jing ZHANG ; Li Ying QIAO ; Meng QI ; Ying YAN ; Wei Wei KANG ; Guo Zhen LIU ; Ming Yuan WANG ; Yun Feng XI ; Sheng Feng WANG
Journal of Peking University(Health Sciences) 2023;55(3):471-479
OBJECTIVE:
To develop and validate a three-year risk prediction model for new-onset cardiovascular diseases (CVD) among female patients with breast cancer.
METHODS:
Based on the data from Inner Mongolia Regional Healthcare Information Platform, female breast cancer patients over 18 years old who had received anti-tumor treatments were included. The candidate predictors were selected by Lasso regression after being included according to the results of the multivariate Fine & Gray model. Cox proportional hazard model, Logistic regression model, Fine & Gray model, random forest model, and XGBoost model were trained on the training set, and the model performance was evaluated on the testing set. The discrimination was evaluated by the area under the curve (AUC) of the receiver operator characteristic curve (ROC), and the calibration was evaluated by the calibration curve.
RESULTS:
A total of 19 325 breast cancer patients were identified, with an average age of (52.76±10.44) years. The median follow-up was 1.18 [interquartile range (IQR): 2.71] years. In the study, 7 856 patients (40.65%) developed CVD within 3 years after the diagnosis of breast cancer. The final selected variables included age at diagnosis of breast cancer, gross domestic product (GDP) of residence, tumor stage, history of hypertension, ischemic heart disease, and cerebrovascular disease, type of surgery, type of chemotherapy and radiotherapy. In terms of model discrimination, when not considering survival time, the AUC of the XGBoost model was significantly higher than that of the random forest model [0.660 (95%CI: 0.644-0.675) vs. 0.608 (95%CI: 0.591-0.624), P < 0.001] and Logistic regression model [0.609 (95%CI: 0.593-0.625), P < 0.001]. The Logistic regression model and the XGBoost model showed better calibration. When considering survival time, Cox proportional hazard model and Fine & Gray model showed no significant difference for AUC [0.600 (95%CI: 0.584-0.616) vs. 0.615 (95%CI: 0.599-0.631), P=0.188], but Fine & Gray model showed better calibration.
CONCLUSION
It is feasible to develop a risk prediction model for new-onset CVD of breast cancer based on regional medical data in China. When not considering survival time, the XGBoost model and the Logistic regression model both showed better performance; Fine & Gray model showed better performance in consideration of survival time.
Humans
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Female
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Adult
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Middle Aged
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Adolescent
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Breast Neoplasms/epidemiology*
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Cardiovascular Diseases/etiology*
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Proportional Hazards Models
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Logistic Models
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China/epidemiology*

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