Pulpotomy, which belongs to vital pulp therapy, has become a strategy for managing pulpitis in recent decades. This minimally invasive treatment reflects the recognition of preserving healthy dental pulp and optimizing long-term patient-centered outcomes. Pulpotomy is categorized into partial pulpotomy (PP), the removal of a partial segment of the coronal pulp tissue, and full pulpotomy (FP), the removal of whole coronal pulp, which is followed by applying the biomaterials onto the remaining pulp tissue and ultimately restoring the tooth. Procedural decisions for the amount of pulp tissue removal or retention depend on the diagnostic of pulp vitality, the overall treatment plan, the patient's general health status, and pulp inflammation reassessment during operation. This statement represents the consensus of an expert committee convened by the Society of Cariology and Endodontics, Chinese Stomatological Association. It addresses the current evidence to support the application of pulpotomy as a potential alternative to root canal treatment (RCT) on mature permanent teeth with pulpitis from a biological basis, the development of capping biomaterial, and the diagnostic considerations to evidence-based medicine. This expert statement intends to provide a clinical protocol of pulpotomy, which facilitates practitioners in choosing the optimal procedure and increasing their confidence in this rapidly evolving field.
Humans ; Calcium Compounds/therapeutic use* ; Consensus ; Dental Pulp ; Dentition, Permanent ; Oxides/therapeutic use* ; Pulpitis/therapy* ; Pulpotomy/standards*

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 ; Denture, Complete ; Computer-Aided Design ; Denture Design/methods* ; Consensus ; Printing, Three-Dimensional

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.

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.

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.

Objective:To analyze the clinical characteristics and prognosis of patients with infant acute lymphoblastic leukemia (IALL).Methods:A retrospective cohort study.Clinical data, treatment and prognosis of 28 cases of IALL who have been treated at Beijing Children′s Hospital, Capital Medical University and Baoding Children′s Hospital from October 2013 to May 2023 were analyzed retrospectively. Based on the results of fluorescence in situ hybridization (FISH), all patients were divided into KMT2A gene rearrangement (KMT2A-R) positive group and KMT2A-R negative group. The prognosis of two groups were compared. Kaplan-Meier method and Log-Rank test were used to analyze the survival of the patients.Results:Among 28 cases of IALL, there were 10 males and 18 females, with the onset age of 10.9 (9.4,11.8) months. In terms of immune classification, 25 cases were B-ALL (89%), while the remaining 3 cases were T-ALL (11%). Most infant B-ALL showed pro-B lymphocyte phenotype (16/25,64%). A total of 22 cases (79%) obtained chromosome karyotype results, of which 7 were normal karyotypes, no complex karyotypes and 15 were abnormal karyotypes were found. Among abnormal karyotypes, there were 4 cases of t (9; 11), 2 cases of t (4; 11), 2 cases of t (11; 19), 1 case of t (1; 11) and 6 cases of other abnormal karyotypes. A total of 19 cases (68%) were positive for KMT2A-R detected by FISH. The KMT2A fusion gene was detected by real-time PCR in 16 cases (57%). A total of 24 patients completed standardized induction chemotherapy and were able to undergo efficacy evaluation, 23 cases (96%) achieved complete remission through induction chemotherapy, 4 cases (17%) died of relapse. The 5-year event free survival rate (EFS) was (46±13)%, and the 5-year overall survival rate (OS) was (73±10)%.The survival time was 31.3 (3.3, 62.5) months. There was no significant statistical difference in 5-year EFS ((46±14)% vs. (61±18)%) and 5-year OS ((64±13)% vs. (86±13)%) between the KMT2A-R positive group (15 cases) and the KMT2A-R negative group (9 cases) ( χ2=1.88, 1.47, P=0.170, 0.224). Conclusions:Most IALL patients were accompanied by KMT2A-R. They had poor tolerance to traditional chemotherapy, the relapse rate during treatment was high and the prognosis was poor.

Objective To investigate the effect of Euphorbia helioscopia on biological behaviors of non-small cell lung cancer(NSCLC)cells.Methods NSCLC cell lines PC-9 and A549 treated with different concentrations of Euphorbia helioscopia preparations were examined for changes in proliferation,apoptosis,invasion and migration using CCK-8 assay,colony formation assay,flow cytometry,wound healing assay and Transwell assay.Western blotting was performed to detect the changes in protein expressions of Bax,Bcl-2,E-cadherin,vimentin,MMP2,and MMP9 in the treated cells.PC-9 cells were injected subcutaneously into BALB/C nude mice to establish a nude mouse subcutaneous tumor model.According to the growth of subcutaneous tumors,mice were randomly divided into control group:gavaged daily with saline;Euphorbia helioscopia-treated group:gavaged daily with Euphorbia helioscopia 65 mg/mL,and Euphorbia helioscopia granules were dissolved in saline;cisplatin-treated group:injected intraperitoneally with cisplatin 4 mg/kg every 5 days,6 mice per group.The subcutaneous tumor volume and mass changes of mice were measured,and the toxic effects of Euphorbia helioscopia on heart,liver,spleen,lung and kidney as well as the therapeutic effects of Euphorbia helioscopia were observed in the mice bearing tumor.Results Euphorbia helioscopia granules concentration-dependently inhibited the proliferation and survival of PC-9 and A549 cells,significantly promoted cell apoptosis,suppressed invasion and migration abilities of the cells,up-regulated the expression levels of E-cadherin and Bax,and down-regulated the expressions of Bcl-2,vimentin,MMP2,and MMP9.In the tumor-bearing mice,treatment with Euphorbia helioscopia significantly inhibited tumor growth without producing obvious toxicity in the vital organs.Conclusion Euphorbia helioscopia can inhibit proliferation,invasion,and migration and induces apoptosis of NSCLC cells in vitro.

Objective To investigate the effect of Euphorbia helioscopia on biological behaviors of non-small cell lung cancer(NSCLC)cells.Methods NSCLC cell lines PC-9 and A549 treated with different concentrations of Euphorbia helioscopia preparations were examined for changes in proliferation,apoptosis,invasion and migration using CCK-8 assay,colony formation assay,flow cytometry,wound healing assay and Transwell assay.Western blotting was performed to detect the changes in protein expressions of Bax,Bcl-2,E-cadherin,vimentin,MMP2,and MMP9 in the treated cells.PC-9 cells were injected subcutaneously into BALB/C nude mice to establish a nude mouse subcutaneous tumor model.According to the growth of subcutaneous tumors,mice were randomly divided into control group:gavaged daily with saline;Euphorbia helioscopia-treated group:gavaged daily with Euphorbia helioscopia 65 mg/mL,and Euphorbia helioscopia granules were dissolved in saline;cisplatin-treated group:injected intraperitoneally with cisplatin 4 mg/kg every 5 days,6 mice per group.The subcutaneous tumor volume and mass changes of mice were measured,and the toxic effects of Euphorbia helioscopia on heart,liver,spleen,lung and kidney as well as the therapeutic effects of Euphorbia helioscopia were observed in the mice bearing tumor.Results Euphorbia helioscopia granules concentration-dependently inhibited the proliferation and survival of PC-9 and A549 cells,significantly promoted cell apoptosis,suppressed invasion and migration abilities of the cells,up-regulated the expression levels of E-cadherin and Bax,and down-regulated the expressions of Bcl-2,vimentin,MMP2,and MMP9.In the tumor-bearing mice,treatment with Euphorbia helioscopia significantly inhibited tumor growth without producing obvious toxicity in the vital organs.Conclusion Euphorbia helioscopia can inhibit proliferation,invasion,and migration and induces apoptosis of NSCLC cells in vitro.

Objective:To observe the rate of skin injury after spinal cord injury (SCI) in the rehabilitation department and analyze its risk factors.Methods:A total of 120 SCI patients were divided into an injury group of 33 and a control group of 87 without injury. The occurrence, type and location of any skin injuries incurred during hospitalization were recorded along with the subjects′ general condition, injury and functional status, complications, and the rehabilitation and nursing measures applied. Multivariate logistic regressions were evaluated to identify the risk factors for skin injury.Results:Among the 33 injuries, 27 were bruises (58.7%), 10 were stress injuries (21.7%), 5 were lacerations (10.9%) and 4 were burns (8.7%). Most injuries (65.2%) were to the limbs, followed by the buttocks and the sacrococcygeal tail (34.8%). All of the skin injuries required nursing intervention, with 47.8% lasting more than 7 days. There were significant differences between the two groups in terms of their average hospital stay, dysfunction, mode of admission, risk of pressure injury, nutrition and assisted urination. The regressions identified significant relationships between the occurrence of skin injury and length of hospital stay, risk of pressure injury and nutrition.Conclusions:The incidence of skin injury is high among hospitalized SCI patients. A long hospital stay, pressure injury and poor nutrition are independent risk factors for such patients. Such patients should receive skin management education.