1.Expert consensus on holistic integrative management of oral squamous cell carcinoma
Moyi SUN ; Zongxuan HE ; Haoyue XU ; Xiaoying LI ; Jie ZHANG ; Haijun LU ; Xiaohong ZHAN ; Dapeng HAO ; Shizhu BAI ; Wei GUO ; Zhangui TANG ; Guoxin REN ; Jian MENG ; Zhijun SUN ; Jichen LI ; Yue HE ; Chunjie LI ; Lizheng QIN ; Kai YANG ; Qing XI ; Lin KONG ; Bing HAN ; Lingxue BU ; Yuanyong FENG ; Kai SONG ; Hongyu HAN ; Jieying LI ; Qianwei NI ; Yun LI ; Juan CHAI ; Xiaochen YANG ; Man HU ; Mingjin XU ; Wei SHANG
Journal of Practical Stomatology 2025;41(4):437-449
Oral squamous cell carcinoma(OSCC)is a malignant lesion originating from the oral mucosal squamous epithelium,account-ing for over 80%of oral and maxillofacial malignancies.Key etiological factors include tobacco,alcohol abuse,and betel quid chewing.In China,its incidence has shown an overall upward trend,posing a significant threat to public health.OSCC exhibits high local invasive-ness,making early diagnosis critical for improving prognosis.Its clinical management requires close multidisciplinary collaboration among oral and maxillofacial surgery,head and neck surgery,radiation oncology,medical oncology,reconstructive surgery,radiology,patholo-gy,and nutritional support teams.Given the increasing disease burden of OSCC and rapid development of multidisciplinary collaborative models,an expert panel has formulated this integrated management consensus based on evidence-based medicine and extensive deliber-ation.Centered on the'Prevention-Screening-Diagnosis-Treatment-Rehabilitation'framework,the consensus provides comprehensive guidance for the entire disease course of OSCC patients,aiming to standardize clinical practice.
2.Expert consensus on holistic integrative management of oral squamous cell carcinoma
Moyi SUN ; Zongxuan HE ; Haoyue XU ; Xiaoying LI ; Jie ZHANG ; Haijun LU ; Xiaohong ZHAN ; Dapeng HAO ; Shizhu BAI ; Wei GUO ; Zhangui TANG ; Guoxin REN ; Jian MENG ; Zhijun SUN ; Jichen LI ; Yue HE ; Chunjie LI ; Lizheng QIN ; Kai YANG ; Qing XI ; Lin KONG ; Bing HAN ; Lingxue BU ; Yuanyong FENG ; Kai SONG ; Hongyu HAN ; Jieying LI ; Qianwei NI ; Yun LI ; Juan CHAI ; Xiaochen YANG ; Man HU ; Mingjin XU ; Wei SHANG
Journal of Practical Stomatology 2025;41(4):437-449
Oral squamous cell carcinoma(OSCC)is a malignant lesion originating from the oral mucosal squamous epithelium,account-ing for over 80%of oral and maxillofacial malignancies.Key etiological factors include tobacco,alcohol abuse,and betel quid chewing.In China,its incidence has shown an overall upward trend,posing a significant threat to public health.OSCC exhibits high local invasive-ness,making early diagnosis critical for improving prognosis.Its clinical management requires close multidisciplinary collaboration among oral and maxillofacial surgery,head and neck surgery,radiation oncology,medical oncology,reconstructive surgery,radiology,patholo-gy,and nutritional support teams.Given the increasing disease burden of OSCC and rapid development of multidisciplinary collaborative models,an expert panel has formulated this integrated management consensus based on evidence-based medicine and extensive deliber-ation.Centered on the'Prevention-Screening-Diagnosis-Treatment-Rehabilitation'framework,the consensus provides comprehensive guidance for the entire disease course of OSCC patients,aiming to standardize clinical practice.
3.Expert consensus on integrated diagnosis and treatment techniques for oropharyngeal squamous cell carcinoma
Wei SHANG ; Haoyue XU ; Zongxuan HE ; Xiaoying LI ; Haijun LU ; Xiaohong ZHAN ; Dapeng HAO ; Yan SUN ; Wei GUO ; Zhangui TANG ; Guoxin REN ; Zhijun SUN ; Jian MENG ; Jie ZHANG ; Jichen LI ; Yue HE ; Chunjie LI ; Jianhua WEI ; Lizheng QIN ; Yaowu YANG ; Qing XI ; Wei WU ; Kai YANG ; Bing HAN ; Lingxue BU ; Shuangyi WANG ; Kai SONG ; Jiaqi ZHU ; Hongyu HAN ; Yu KONG ; Jieying LI ; Man HU ; Mingjin XU ; Moyi SUN
Journal of Practical Stomatology 2025;41(6):725-736
In recent decades,the incidence of human papillomavirus(HPV)-associated oropharyngeal squamous cell carcinoma(OPSCC)has shown a marked increase.Significant changes have also occurred in the OPSCC diagnosis and treatment paradigm.Deter-mining HPV status prior to treatment is now essential,and radiotherapy/chemotherapy,immunotherapy,and minimally invasive surgical techniques have progressively emerged as key modalities for managing OPSCC.However,alongside these paradigm shifts,a comprehen-sive technical consensus guiding the entire diagnostic and therapeutic process for OPSCC patients is currently lacking.Given China's large population base and the rising incidence of OPSCC,an expert panel convened to develop a clinical technical consensus on OPSCC diagno-sis and management tailored to China's specific context.This consensus aims to further enhance and standardize understanding of OPSCC management techniques among relevant healthcare professionals.
4.Research progress on epigenetic mechanisms in the prevention and treatment of Parkinson's disease using traditional Chinese medicine
Chiyang LI ; Rui LAN ; Hongyu LI ; Huijie YANG ; Chen TANG ; Shuang LIU ; Jieli YANG ; Yali ZHAN ; Ziyan FAN
Chinese Journal of Comparative Medicine 2025;35(9):153-163
Parkinson's disease(PD)is a common progressive neurodegenerative disease mainly affecting the motor system.Various genetic factors and cellular mechanisms underlying PD have recently been discovered.Emerging evidence suggests that epigenetic modifications play a very important role in the pathogenesis,prevention,and treatment of PD.Epigenetic modification mediates genetic and environmental interactions mainly through complex interactions of DNA methylation,histone modification,and non-coding RNA,thereby affecting expression in the absence of changes in DNA sequence.In this review,we summarize the epigenetic modification mechanisms involved in the pathogenesis of Parkinson's disease.In this review,we summarize the epigenetic modification mechanisms involved in the pathogenesis of Parkinson's disease.Recent studies have found that traditional Chinese medicine can participate in the regulation of abnormal epigenetic modifications in the treatment of PD.Traditional Chinese medicine benefits from its multi-level and multi-target regulatory effects,and various traditional Chinese medicine monomers,compound prescriptions,and techniques have been evaluated,confirming that this is a promising approach for improving symptoms in PD.This review summarizes the mechanisms by which epigenetic modifications contribute to P D,explores the role of traditional Chinese medicine,and provides new ideas for clinical treatment and drug development in PD through epigenetic intervention.
5.Research progress on epigenetic mechanisms in the prevention and treatment of Parkinson's disease using traditional Chinese medicine
Chiyang LI ; Rui LAN ; Hongyu LI ; Huijie YANG ; Chen TANG ; Shuang LIU ; Jieli YANG ; Yali ZHAN ; Ziyan FAN
Chinese Journal of Comparative Medicine 2025;35(9):153-163
Parkinson's disease(PD)is a common progressive neurodegenerative disease mainly affecting the motor system.Various genetic factors and cellular mechanisms underlying PD have recently been discovered.Emerging evidence suggests that epigenetic modifications play a very important role in the pathogenesis,prevention,and treatment of PD.Epigenetic modification mediates genetic and environmental interactions mainly through complex interactions of DNA methylation,histone modification,and non-coding RNA,thereby affecting expression in the absence of changes in DNA sequence.In this review,we summarize the epigenetic modification mechanisms involved in the pathogenesis of Parkinson's disease.In this review,we summarize the epigenetic modification mechanisms involved in the pathogenesis of Parkinson's disease.Recent studies have found that traditional Chinese medicine can participate in the regulation of abnormal epigenetic modifications in the treatment of PD.Traditional Chinese medicine benefits from its multi-level and multi-target regulatory effects,and various traditional Chinese medicine monomers,compound prescriptions,and techniques have been evaluated,confirming that this is a promising approach for improving symptoms in PD.This review summarizes the mechanisms by which epigenetic modifications contribute to P D,explores the role of traditional Chinese medicine,and provides new ideas for clinical treatment and drug development in PD through epigenetic intervention.
6.Expert consensus on integrated diagnosis and treatment techniques for oropharyngeal squamous cell carcinoma
Wei SHANG ; Haoyue XU ; Zongxuan HE ; Xiaoying LI ; Haijun LU ; Xiaohong ZHAN ; Dapeng HAO ; Yan SUN ; Wei GUO ; Zhangui TANG ; Guoxin REN ; Zhijun SUN ; Jian MENG ; Jie ZHANG ; Jichen LI ; Yue HE ; Chunjie LI ; Jianhua WEI ; Lizheng QIN ; Yaowu YANG ; Qing XI ; Wei WU ; Kai YANG ; Bing HAN ; Lingxue BU ; Shuangyi WANG ; Kai SONG ; Jiaqi ZHU ; Hongyu HAN ; Yu KONG ; Jieying LI ; Man HU ; Mingjin XU ; Moyi SUN
Journal of Practical Stomatology 2025;41(6):725-736
In recent decades,the incidence of human papillomavirus(HPV)-associated oropharyngeal squamous cell carcinoma(OPSCC)has shown a marked increase.Significant changes have also occurred in the OPSCC diagnosis and treatment paradigm.Deter-mining HPV status prior to treatment is now essential,and radiotherapy/chemotherapy,immunotherapy,and minimally invasive surgical techniques have progressively emerged as key modalities for managing OPSCC.However,alongside these paradigm shifts,a comprehen-sive technical consensus guiding the entire diagnostic and therapeutic process for OPSCC patients is currently lacking.Given China's large population base and the rising incidence of OPSCC,an expert panel convened to develop a clinical technical consensus on OPSCC diagno-sis and management tailored to China's specific context.This consensus aims to further enhance and standardize understanding of OPSCC management techniques among relevant healthcare professionals.
7.Development of a prediction model for incidence of diabetic foot in patients with type 2 diabetes and its application based on a local health data platform
Yexian YU ; Meng ZHANG ; Xiaowei CHEN ; Lijia LIU ; Pei LI ; Houyu ZHAO ; Yexiang SUN ; Hongyu SUN ; Yumei SUN ; Xueyang LIU ; Hongbo LIN ; Peng SHEN ; Siyan ZHAN ; Feng SUN
Chinese Journal of Epidemiology 2024;45(7):997-1006
Objective:To construct a diabetes foot prediction model for adult patients with type 2 diabetes based on retrospective cohort study using data from a regional health data platform.Methods:Using Yinzhou Health Information Platform of Ningbo, adult patients with newly diagnosed type 2 diabetes from January 1, 2015 to December 31, 2022 were included in this study and divided randomly the train and test sets according to the ratio of 7∶3. LASSO regression model and bidirectional stepwise regression model were used to identify risk factors, and model comparisons were conducted with net reclassification index, integrated discrimination improvement and concordance index. Univariate and multivariate Cox proportional hazard regression models were constructed, and a nomogram plot was drawn. Area under the curve (AUC) was calculated as a discriminant evaluation indicator for model validation test its calibration ability, and calibration curves were drawn to test its calibration ability.Results:No significant difference existed between LASSO regression model and bidirectional stepwise regression model, but the better bidirectional stepwise regression model was selected as the final model. The risk factors included age of onset, gender, hemoglobin A1c, estimated glomerular filtration rate, taking angiotensin receptor blocker and smoking history. AUC values (95% CI) of risk outcome prediction at year 5 and 7 were 0.700 (0.650-0.749) and 0.715(0.668-0.762) for the train set and 0.738 (0.667-0.801) and 0.723 (0.663-0.783) for the test set, respectively. The calibration curves were close to the ideal curve, and the model discrimination and calibration powers were both good. Conclusions:This study established a convenient prediction model for diabetic foot and classified the risk levels. The model has strong interpretability, good discrimination power, and satisfactory calibration and can be used to predict the incidence of diabetes foot in adult patients with type 2 diabetes to provide a basis for self-assessment and clinical prediction of diabetic foot disease risk.
8.Development and application of a prediction model for incidence of diabetic retinopathy in newly diagnosed type 2 diabetic patients based on regional health data platform
Xiaowei CHEN ; Lijia LIU ; Yexian YU ; Meng ZHANG ; Pei LI ; Houyu ZHAO ; Yexiang SUN ; Hongyu SUN ; Yumei SUN ; Xueyang LIU ; Hongbo LIN ; Peng SHEN ; Siyan ZHAN ; Feng SUN
Chinese Journal of Epidemiology 2024;45(9):1283-1290
Objective:To develop a prediction model for the risk of diabetic retinopathy (DR) in patients with newly diagnosed type 2 diabetes mellitus (T2DM).Methods:Patients with new diagnosis of T2DM recorded in Yinzhou Regional Health Information Platform between January 1, 2015 and December 31, 2022 were included in the study. The predictor variables were selected by using Lasso-Cox proportional hazards regression model. Cox proportional hazards regression models were used to establish the prediction model for the risk of DR. Bootstrap method (500 resamples) was used for internal validation, and the performance of the model was assessed by C-index, the receiver operating characteristic curve and area under the curve (AUC), and calibration curve.Results:The predictor variables included in the final model were age of T2DM onset, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, estimated glomerular filtration rate, and history of lipid-lowering agent and angiotensin converting enzyme inhibitor uses. The C-index of the final model was 0.622, and the mean corrected C-index was 0.623 (95% CI: 0.607-0.634). The AUC values for predicting the risk of DR after 3, 5, and 7 years were 0.631, 0.620, and 0.624, respectively, with a high degree of overlap of the calibration curves with the ideal curves. Conclusion:In this study, a simple and practical risk prediction model for DR risk prediction was developed, which could be used as a reference for individualized DR screening and intervention in newly diagnosed T2DM patients.
9.Development of a prediction model for the incidence of type 2 diabetic kidney disease and its application based on a regional health data platform
Lijia LIU ; Xiaowei CHEN ; Yexian YU ; Meng ZHANG ; Pei LI ; Houyu ZHAO ; Yexiang SUN ; Hongyu SUN ; Yumei SUN ; Xueyang LIU ; Hongbo LIN ; Peng SHEN ; Siyan ZHAN ; Feng SUN
Chinese Journal of Epidemiology 2024;45(10):1426-1432
Objective:To construct a risk prediction model for diabetes kidney disease (DKD).Methods:Patients newly diagnosed with type 2 diabetes mellitus (T2DM) between January 1, 2015, and December 31, 2022, were selected as study subjects from the Yinzhou Regional Health Information Platform in Ningbo City. The Lasso method was used to screen the risk factors, and the DKD risk prediction model was established using Cox proportional hazard regression models. Bootstrap 500 resampling was applied for internal validation.Results:The study included 49 706 subjects, with an median ( Q1, Q3) age of 60.00 (50.00, 68.00) years old, and 55% were male. A total of 4 405 subjects eventually developed DKD. Age at first diagnosis of T2DM, BMI, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, past medical history (hyperuricemia, rheumatic diseases), triglycerides, and estimated glomerular filtration rate were included in the final model. The final model's C-index was 0.653, with an average of 0.654 after Bootstrap correction. The final model's area under the receiver operating characteristic curve for predicting 4-year, 5-year, and 6-year was 0.657, 0.659, and 0.664, respectively. The calibration curve was closely aligned with the ideal curve. Conclusions:This study constructed a DKD risk prediction model for newly diagnosed T2DM patients based on real-world data that is simple, easy to use, and highly practical. It provides a reliable basis for screening high-risk groups for DKD.
10.Construction of evidence graph for modifiable risk factors for diabetic retinopathy
Shuyuan SHI ; Qingxin ZHOU ; Hongyu SUN ; Siyan ZHAN ; Feng SUN ; Shuyan ZHANG
Chinese Journal of Epidemiology 2024;45(12):1736-1744
Objective:Diabetic retinopathy (DR) has been reported as the leading cause of blindness among diabetic adults, which is closely related to poor quality of life and increased burden of disability. This study aimed to aggregate the optimally available evidence on modifiable risks of DR.Methods:Until June 2023, PubMed, Cochrane Library, CNKI, and Wanfang databases were used to retrieve Meta-analysis about various risk factors for DR, and Meta-analysis were analyzed and summarized. R 4.3.2 software was used for each Meta-analytic association to calculate the effect size, 95% CI, heterogeneity, small-study effects, excess significance bias, and 95% prediction intervals. The credibility of significant evidence was graded. Results:We captured 23 eligible papers (72 associations) covering a wide range of medication use, concomitant diseases, daily intervention, biomarkers, lifestyle, and physical measurement index. Among them, higher HbA1c variability ( RR=1.45, 95% CI: 1.26-1.66) and urine microalbumin positive ( OR=2.44, 95% CI: 1.99-2.97) were convincing (grade Ⅰ) evidence, and insulin use ( RR=3.48, 95% CI: 2.14-5.67) was highly suggestive (grade Ⅱ) evidence. Moreover, hypertension ( OR=2.03, 95% CI: 1.06-3.97), poor glycemic control ( OR=4.35, 95% CI: 1.47-12.85), positive macroalbuminuria ( OR=8.42, 95% CI: 3.52-20.15), long sleep duration ( OR=2.05, 95% CI: 1.37-3.05), vitamin D deficiency ( OR=2.02, 95% CI: 1.17-3.50), periodontitis ( OR=4.51, 95% CI: 1.76-11.55) were the main risk factors for DR. Intensive blood pressure intervention ( RR=0.78, 95% CI: 0.65-0.94), dietary control ( OR=0.64, 95% CI: 0.47-0.89) and moderate intensity physical activity ( RR=0.76, 95% CI: 0.59-0.97) yielded significant protective associations with DR. Conclusions:Intensive blood pressure glycemic control, and a healthy lifestyle pattern could reduce the risk of DR. This study provides the evidence to identify high-risk populations and recommends rational treatment options and healthy living interventions.

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