1.Expert consensus on digital restoration of complete dentures.
Yue FENG ; Zhihong FENG ; Jing LI ; Jihua CHEN ; Haiyang YU ; Xinquan JIANG ; Yongsheng ZHOU ; Yumei ZHANG ; Cui HUANG ; Baiping FU ; Yan WANG ; Hui CHENG ; Jianfeng MA ; Qingsong JIANG ; Hongbing LIAO ; Chufan MA ; Weicai LIU ; Guofeng WU ; Sheng YANG ; Zhe WU ; Shizhu BAI ; Ming FANG ; Yan DONG ; Jiang WU ; Lin NIU ; Ling ZHANG ; Fu WANG ; Lina NIU
International Journal of Oral Science 2025;17(1):58-58
Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans
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Denture, Complete
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Computer-Aided Design
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Denture Design/methods*
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Consensus
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Printing, Three-Dimensional
2.Application Practice of AI Empowering Post-discharge Specialized Disease Management in Postoperative Rehabilitation of the Lung Cancer Patients Undergoing Surgery.
Mei LI ; Hongbing ZHANG ; Chunqiu XIA ; Yuqi ZHANG ; Huihui JI ; Yi SHI ; Liran DUAN ; Lingyu GUO ; Jinghao LIU ; Xin LI ; Ming DONG ; Jun CHEN
Chinese Journal of Lung Cancer 2025;28(3):176-182
BACKGROUND:
Lung cancer is the leading malignancy in China in terms of both incidence and mortality. With increased health awareness and the widespread use of low-dose computed tomography (CT), early diagnosis rates have been steadily improving. Surgical intervention remains the primary treatment option for early-stage lung cancer, and video-assisted thoracoscopic surgery (VATS) has become a common approach due to its minimal invasiveness and rapid recovery. However, post-discharge recovery remains incomplete, underscoring the importance of postoperative care. Traditional follow-up methods, lack standardization, consume significant medical resources, and increase the burden of the patients. Artificial intelligence (AI)-driven disease management platforms offer a novel solution to optimize postoperative follow-up. This study followed 463 lung cancer surgery patients using an AI-based platform, aiming to identify common postoperative issues, propose solutions, improve quality of life, reduce recurrence-related costs, and promote AI integration in healthcare.
METHODS:
Using the AI disease management platform, this study integrated educational videos, collaboration between healthcare teams and AI assistants, daily health logs, health assessment forms, and personalized interventions to monitor postoperative recovery. The postoperative rehabilitation status of the patients was assessed by the Leicester Cough Questionnaire (LCQ-MC). Two independent t-test and one-way ANOVA were used to analyze the causes of postoperative cough in lung cancer.
RESULTS:
Most issues occurred within 7 d post-discharge, significantly declined on 14 d post-discharge. Factors such as gender, smoking history, and surgical approaches were found to influence cough recovery. The incidence of cough on 7 d post-discharge in females was higher than that in males (P<0.01), while the incidence of cough on 14 d post-discharge in elderly patients was lower than that in young patients (P=0.03). The AI-based platform effectively addressed cough, pain, and sleep disturbances through phased interventions.
CONCLUSIONS
The AI-based platform significantly enhanced postoperative management efficiency and the self-care capabilities of the patients, particularly in phased cough management. Future integration with wearable devices could enable more precise and personalized postoperative care, further advancing the application of AI technology across multidisciplinary healthcare domains.
Humans
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Lung Neoplasms/rehabilitation*
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Male
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Female
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Middle Aged
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Aged
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Patient Discharge
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Artificial Intelligence
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Adult
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Postoperative Care
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Postoperative Period
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Disease Management
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Quality of Life
3.Construction of exercise program for inpatients with diabetic foot based on evidence - based and Delphi method
Houjuan ZU ; Hongbing BU ; Qiaoyan LIU ; Xueqin YAN ; Yun CAO ; Wei YIN ; Suping BAI ; Dong WANG ; Lei XIA
Chinese Journal of Practical Nursing 2023;39(13):1004-1011
Objective:The evidence-based and Delphi methods were used to construct the exercise program for hospitalized patients with diabetes foot to provide guidance for clinical practice.Methods:Evidence on exercise management of diabetic foot patients was systematically searched from BMJ Best Practice, UpToDate, Registered Nurses′ Association of Ontario and other domestic and foreign databases and professional association websites. The retrieval period was from the establishment of the database to April 2021. The quality of the included literature was independently evaluated, and the evidence of the literature meeting the quality standards was extracted and summarized to form the first draft of exercise program for inpatients with diabetic foot. After two rounds of Delphi expert letter consultation, the program items were revised, and the final draft of the exercise program for inpatients with diabetic foot suitable for clinical practice was formed.Results:The effective recovery rate of the two rounds of expert correspondence questionnaire both were15/15. The expert authority coefficient was 0.865 and 0.895 respectively. And the Kendall coordination coefficient was 0.232 and 0.291 (both P<0.01). An exercise program for inpatients with diabetic foot had been formed, including 5 modules(exercise evaluation, exercise prescription, exercise monitoring, post-exercise evaluation and exercise management), 12 items and 40 operational items. Conclusions:The exercise program for inpatients with diabetic foot constructed in this study is scientific and clinically applicable, which provide scientific guidance for clinical medical staff to carry out exercise practice.
4.Consistency of peripheral whole blood and venous serum procalcitonin in children: a multicenter parallel controlled study
Quan LU ; Hong ZHANG ; Xiaoyan DONG ; Hanmin LIU ; Yongmei JIANG ; Yingxue ZOU ; Yongming SHEN ; Deyu ZHAO ; Hongbing CHEN ; Tao AI ; Chenggui LIU ; Zhaobo SHEN ; Junmei YANG ; Yuejie ZHENG ; Yunsheng CHEN ; Weigang CHEN ; Yefei ZHU ; Chonglin ZHANG ; Lijun TIAN ; Guorong WU ; Ling LI ; Aibin ZHENG ; Meng GU ; Yongyue WEI ; Liangmin WEI
Chinese Journal of Pediatrics 2021;59(6):471-477
Objective:To explore the consistency of peripheral whole blood and venous serum procalcitonin (PCT) levels, and the value of peripheral whole blood PCT in evaluating pediatric bacterial infection.Methods:This multicenter cross-sectional parallel control study was conducted in 11 children′s hospital. All the 1 898 patients older than 28 days admitted to these hospitals from March 2018 to February 2019 had their peripheral whole blood and venous serum PCT detected simultaneously with unified equipment, reagent and method. According to the venous serum PCT level, the patients were stratified to subgroups. Analysis of variance and chi-square test were used to compare the demographic characteristics among groups. And the correlation between the peripheral blood and venous serum PCT level was investigated by quantitative Pearson correlation analysis.The PCT resultes were also converted into ranked data to further test the consistency between the two sampling methods by Spearman′s rank correlation test. Furthermore, the ranked data were converted into binary data to evaluate the consistency and investigate the best cut-off of peripheral blood PCT level in predicting bacterial infection.Results:A total of 1 898 valid samples were included (1 098 males, 800 females),age 27.4(12.2,56.7) months. There was a good correlation between PCT values of peripheral whole blood and venous serum ( r=0.97 , P<0.01). The linear regression equation was PCT?venous serum=0.135+0.929×PCT peripheral whole blood. However, when stratified to 5 levels, PCT results showed diverse and unsatisfied consistency between the two sampling methods ( r=0.51-0.92, all P<0.01). But after PCT was converted to ordinal categorical variables, the stratified analysis showed that the coincidence rate of the measured values by the two sampling methods in each boundary area was 84.9%-97.1%. The dichotomous variables also showed a good consistency (coincidence rate 96.8%-99.3%, Youden index 0.82-0.89). According to the severity of disease, the serum PCT value was classified into 4 intervals(<0.5、0.5-<2.0、2.0-<10.0、≥10.0 μg/L), and the peripheral blood PCT value also showed a good predictive value (AUC value was 0.991 2-0.997 9). The optimal cut points of peripheral whole blood PCT value 0.5、1.0、2.0、10.0 μg/L corresponding to venous serum PCT values were 0.395, 0.595, 1.175 and 3.545 μg/L, respectively. Conclusions:There is a good correlation between peripheral whole blood PCT value and the venous serum PCT value, which means that the peripheral whole blood PCT could facilitate the identification of infection and clinical severity. Besides, the sampling of peripheral whole blood is simple and easy to repeat.
5.Progress in metabolomics epidemiology
Chinese Journal of Epidemiology 2021;42(7):1148-1153
In recent years, with the rapid development of metabonomic technology and analytic methods, metabolomics epidemiology, as an important branch of systems epidemiology, attracts more attention. Metabolomics epidemiology can better describe the characteristics of exposure, reflect the interaction between environmental factors and genetics, uncover the "black box" of the mechanisms underlying exposure and disease, and identify new biomarkers. This article briefly introduces the definition, methods, and progress of metabolomics epidemiology.
6.Expert consensus of anti-tumor drugs prescription review: kidney cancer
Min LIU ; Wei MIAO ; Chao ZHANG ; Jie ZHANG ; Yuanyuan DAI ; Mei DONG ; Jiang LIU ; Hongbing HUANG ; Qing ZHAI ; Yuguo LIU ; Ting XU ; Ping HUANG ; Wenzhou ZHANG ; Gang JIANG ; Junling CAO ; Lixia WANG ; Yancai SUN ; Mingyan JIANG ; Yongning LYU ; Xiaoyang LU ; Maobai LIU ; Ningsheng LIANG ; Zhu DAI ; Yanqing SONG ; Pengmei LI ; Guangxuan LIU ; Zhiying HAO ; Dunwu YAO ; Guiru LI ; Shujia KONG ; Ruixiang XIE ; Jianhua WANG ; Qing WEI ; Lechuan JIA ; Mei LI ; Jun MENG ; Fang CAO ; Hongzhe SHI ; Dan YAN ; Zaixian BAI ; Chen WANG ; Guohui LI ; Jie HE
Adverse Drug Reactions Journal 2021;23(6):285-292
Kidney cancer usually requires multidisciplinary individualized treatments. No matter what kind of treatment, drugs are essential. According to the "six-step process" (prescription legitimacy review, patient basic information evaluation review, treatment protocol review, organ function and laboratory index review, pretreatment review, and unconventional prescription review) in prescription review proposed by the anti-tumor drug prescription review expert group and referring to domestic and foreign kidney cancer guidelines and drug instructions in recent years, this consensus selects 9 targeted drugs and 4 immunotherapeutic drugs that are currently commonly used in China and elaborates the key review points in patient basic information evaluation review, treatment protocol review, and organ function and laboratory index review of kidney cancer drug treatment, in order to provide reference for clinical front-line pharmacists to review prescriptions of kidney cancer patients and promote rational drug use in clinic.
7.Expert consensus of anti-tumor drugs prescription review: kidney cancer
Min LIU ; Wei MIAO ; Chao ZHANG ; Jie ZHANG ; Yuanyuan DAI ; Mei DONG ; Jiang LIU ; Hongbing HUANG ; Qing ZHAI ; Yuguo LIU ; Ting XU ; Ping HUANG ; Wenzhou ZHANG ; Gang JIANG ; Junling CAO ; Lixia WANG ; Yancai SUN ; Mingyan JIANG ; Yongning LYU ; Xiaoyang LU ; Maobai LIU ; Ningsheng LIANG ; Zhu DAI ; Yanqing SONG ; Pengmei LI ; Guangxuan LIU ; Zhiying HAO ; Dunwu YAO ; Guiru LI ; Shujia KONG ; Ruixiang XIE ; Jianhua WANG ; Qing WEI ; Lechuan JIA ; Mei LI ; Jun MENG ; Fang CAO ; Hongzhe SHI ; Dan YAN ; Zaixian BAI ; Chen WANG ; Guohui LI ; Jie HE
Adverse Drug Reactions Journal 2021;23(6):285-292
Kidney cancer usually requires multidisciplinary individualized treatments. No matter what kind of treatment, drugs are essential. According to the "six-step process" (prescription legitimacy review, patient basic information evaluation review, treatment protocol review, organ function and laboratory index review, pretreatment review, and unconventional prescription review) in prescription review proposed by the anti-tumor drug prescription review expert group and referring to domestic and foreign kidney cancer guidelines and drug instructions in recent years, this consensus selects 9 targeted drugs and 4 immunotherapeutic drugs that are currently commonly used in China and elaborates the key review points in patient basic information evaluation review, treatment protocol review, and organ function and laboratory index review of kidney cancer drug treatment, in order to provide reference for clinical front-line pharmacists to review prescriptions of kidney cancer patients and promote rational drug use in clinic.
8. Application of polygenic risk scores in risk prediction and precision prevention of complex diseases: opportunities and challenges
Chinese Journal of Epidemiology 2019;40(9):1027-1030
Along with the rapid progress in the field of human genomics, genome-wide association studies have successfully identified numerous risk loci for complex diseases. Polygenic risk scores can predict disease risk by integrating the effects of multiple susceptibility loci, and begin to show good performance for improving risk prediction, screening strategy and precision prevention. This paper briefly reviews the recent progress of polygenic risk scores in disease prevention, and summarizes the opportunities and challenges of its application.
9.The effects of comprehensive treatment of coal-burning-borne fluorosis areas in Guizhou Province on improving rural environmental hygiene
Nianheng ZHANG ; Dong AN ; Dancheng YAO ; Hongbing YE ; Boyou ZHANG ; Jing GAO
Chinese Journal of Endemiology 2018;37(10):840-842
Guizhou had the most serious coal-burning-borne fluorosis areas and was the first implemented province-wide comprehensive control measures in 2010.Through sustainable comprehensive prevention and control measures,the utilization rate of household coal resources in the disease affected areas had been effectively reduced.We improved the structure of domestic energy sources,made significant progress in energy conservation and emission reduction,and significantly improved air pollution.The concept of health and hygiene had been deeply rooted in the hearts of the people.The transformation of citizens' knowledge,trust and conduct gradually took shape,and the comprehensive prevention and control measures achieved remarkable results.
10.An epidemiological investigation of dental fluorosis of children aged 8-12 in coal-burning type endemic fluorosis areas in Guizhou Province
Boyou ZHANG ; Dong AN ; Dasheng LI ; Dancheng YAO ; Nianheng ZHANG ; Hongbing YE ; Jing GAO ; Xiaoqiang HU ; Xiaoming WANG
Chinese Journal of Endemiology 2017;36(4):269-273
Objective To investigate the prevalence of dental fluorosis in children aged 8-12 in coalburning-borne endemic fluorosis areas in 23 counties in Guizhou Province,and to evaluate the effects of prevention and control measures.Methods In 2014,five towns were selected according to their location of the east,the south,the west,the north and the center of the 23 counties,one primary school in each town was chosen.All the students aged 8-12 in each school were selected,according to the Diagnosis of Dental Fluorosis (WS/T 208-2011),dental fluorosis was examined.At the same time,the detection rate of dental fluorosis of children aged 8-12 was investigated in 23 counties in 2000 and 2007.Analysis and comparison of the data in 2000,2007 and 2014 were done.Results The total detectable rate of dental fluorosis of children aged 8-12 was 32.31% (5 803/17 962).The detection rate of 3 counties was lower than 15%,12 counties ranged from 15% to 30% and 8 counties more than 30%.Very light,mild,moderate,and severe cases of dental fluorosis cases accounted for 48.39% (2 808/5 803),30.43% (1 766/5 803),15.16% (880/5 803) and 6.01% (349/5 803).Male and female children's overall detection rate was 33.05% (3 083/9 329) and 31.51% (2 720/8 633),the difference was statistically significant (x2=4.86,P < 0.05).The detection rates of dental fluorosis of children aged 8,9,10,11 and 12 were 17.79% (224/1 259),26.02% (871/3 348),30.28% (1 255/4 144),34.07% (1 595/4 682) and 41.02% (1 858/4 529),indicating that the detection rate increased with age (x2 =345.78,P < 0.01).After longitudinal comparison of the detection rates of dental fluorosis of children aged 8-12 in 2000,2007 and 2014,we found that 17 counties were gradually decreased (all P < 0.05) except Xiuwen,Weining,Qianxi,Qingzhen,Liuzhi and Xixiu (x2 =0.84,4.19,3.67,5.03,1.98,2.37,all P > 0.05).The ratio of dental fluorosis detection rate < 15%,15%-30% and > 30% was accounted for 21.74% (25/115),32.17% (37/115) and 46.09% (53/115),respectively,in the 115 villages.Conclusion The detection rate of dental fluorosis of children aged 8-12 in coal-burning-borne endemic fluorosis areas is significantly dropped,and the comprehensive prevention and control effect is gradually apparent.

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