Utilizing CiteSpace and VOSviewer， a bibliometric analysis was conducted on 1，496 articles from the China National Knowledge Infrastructure， Chinese Science and Technology periodical database， Wanfang data， and the Web of Science database spanning 2006 to 2025， systematically revealing the evolutionary patterns of knowledge regarding doctor‐patient shared decision‐making （SDM） in the field of chronic disease management. The research indicated that the number of publications at home and abroad displayed an overall upward trend， yet their development paths differed significantly. International research has formed a “core-periphery” cooperation network， with research hotspots focusing on the improvement of decision-making quality， optimization of decision-making aids， application in primary care settings， and ethical issues in decision-making. Domestic research， driven by policies， developed rapidly and paid more attention to coverage improvement and cultural adaptation， but notable gaps remained in cross-institutional cooperation and tool localization. Currently， China’s practice still encountered multiple challenges， including restricted patients’ participation willingness due to “family-oriented” cultural values， inadequate localization of decision-making aids， and imperfect decision-making support systems in primary healthcare institutions. On this basis， this paper put forward localized suggestions from three dimensions， including cultural adaptation， technological innovation， and institutional coordination. Through multi-dimensional strategies such as advocating for constructing a family-empowered decision-making model， developing decision-making aids integrated with the dialectical logic of traditional Chinese medicine， and promoting the linkage between SDM implementation and the reform of medical insurance payment methods， it was expected to connect international experience with China’s practice. This aimed to provide references for building a chronic disease decision-making model with Chinese characteristics and contribute to the “patient-centered” medical transformation.

Objective To observe the effects of auricular point sticking on chronic soft tissue injury of knee joint caused by military training.Methods A total of 77 patients with chronic soft tissue injury of the knee caused by military training admitted to No.901 Hospital of Joint Logistics Support Force from January to November 2022 were enrolled in this study.Auricular point sticking therapy was applied in all the patients.Visual analogue scale(VAS)score,the range of motion of the knees and knee temperature were recorded before and after treatment.Results The VAS score was 6.10±1.23,3.03±0.95,and 2.70±0.93 before treatment,15 min and 24 h after treatment,respectively.The VAS score after treatment were significantly lower than that before treatment(P<0.01).The range of motion of the knees was(79.08±11.59)°,(104.79±8.49)°,and(108.08±9.36)° before treatment,15 min and 24 h after treatment,respectively.The knee flexion after treatment were significantly higher than that before treatment(P<0.01).The knee temperature at 15 min after treatment was significantly higher than that before treatment([30.68±1.38]℃vs.[29.30±1.41]℃,P<0.01).Conclusion Auricular point sticking can reduce the pain of patients with chronic soft tissue injury of the knee and increase the range of joint motion.It is safe and simple and has good compliance.

Objective:To explore the potential profile characteristics of cancer-related worries in patients after surgery for early-stage lung cancer, and the influencing factors of different categories, provide reference for patients to formulate individualized rehabilitation programs and psychological intervention measures.Methods:A cross-sectional survey method was used to conveniently select patients who received outpatient follow-up after lung cancer surgery at Shanghai Pulmonary Hospital Affiliated to Tongji University from October 2022 to October 2023 as the survey subjects. The general information questionnaire, the Chinese version of Brief Cancer-related Worry Inventory, the Chinese version of the MD Anderson Symptom Inventory, Brief Illness Perception Questionnaire, 10-item Connor Davidson Resilience Scale and Medical Coping Modes Questionnaire were examined. Latent profile analysis was performed on the cancer-related worry scores of lung cancer surgery patients, and its influencing factors were explored by binary Logistic regression analysis.Results:A total of 302 patients after lung cancer surgery were included, including 111 males and 191 females, aged 18-83(52.73 ± 13.07) years, and the Chinese version of the Brief Cancer-related Worry Inventory scored 380.00 (130.00, 720.00) points. The cancer-related worry of patients after lung cancer surgery could be divided into two potential profile categories: "high worry type" (138 patients accounted for 45.70%) and "low worry type" (164 patients accounted for 54.30%). Symptom burden ( OR=1.055, 95% CI 1.039-1.072), illness perception ( OR=1.190, 95% CI 1.127-1.256), resilience ( OR=0.933, 95% CI 0.886-0.983), and coping modes of confrontation ( OR=0.857, 95% CI 0.757-0.971) and acceptance-resignation ( OR=1.247, 95% CI 1.050-1.481) were influencing factors for grouping cancer related worry profiles (all P<0.05). Conclusions:There was significant heterogeneity in the level of cancer-related worries among patients after surgery for early-stage lung cancer. It is recommended that medical staff provide targeted continuity care measures based on the characteristics of worries of different categories of patients to improve patients' postoperative mental health and quality of life.

Objective:To explore the potential profile characteristics of cancer-related worries in patients after surgery for early-stage lung cancer, and the influencing factors of different categories, provide reference for patients to formulate individualized rehabilitation programs and psychological intervention measures.Methods:A cross-sectional survey method was used to conveniently select patients who received outpatient follow-up after lung cancer surgery at Shanghai Pulmonary Hospital Affiliated to Tongji University from October 2022 to October 2023 as the survey subjects. The general information questionnaire, the Chinese version of Brief Cancer-related Worry Inventory, the Chinese version of the MD Anderson Symptom Inventory, Brief Illness Perception Questionnaire, 10-item Connor Davidson Resilience Scale and Medical Coping Modes Questionnaire were examined. Latent profile analysis was performed on the cancer-related worry scores of lung cancer surgery patients, and its influencing factors were explored by binary Logistic regression analysis.Results:A total of 302 patients after lung cancer surgery were included, including 111 males and 191 females, aged 18-83(52.73 ± 13.07) years, and the Chinese version of the Brief Cancer-related Worry Inventory scored 380.00 (130.00, 720.00) points. The cancer-related worry of patients after lung cancer surgery could be divided into two potential profile categories: "high worry type" (138 patients accounted for 45.70%) and "low worry type" (164 patients accounted for 54.30%). Symptom burden ( OR=1.055, 95% CI 1.039-1.072), illness perception ( OR=1.190, 95% CI 1.127-1.256), resilience ( OR=0.933, 95% CI 0.886-0.983), and coping modes of confrontation ( OR=0.857, 95% CI 0.757-0.971) and acceptance-resignation ( OR=1.247, 95% CI 1.050-1.481) were influencing factors for grouping cancer related worry profiles (all P<0.05). Conclusions:There was significant heterogeneity in the level of cancer-related worries among patients after surgery for early-stage lung cancer. It is recommended that medical staff provide targeted continuity care measures based on the characteristics of worries of different categories of patients to improve patients' postoperative mental health and quality of life.

Objective:To explore the association between serum 25-hydroxyvitamin D[25(OH)D]and handgrip strength in middle-aged and elderly people in 5 cities of Western China.Methods:Based on the data of a cross-sectional survey conducted in the 5 cities of Western China from February to July 2023,the relevant demographic characteristics of people were collected by questionnaire,handgrip strength was collected by physical examination,and serum 25(OH)D was detected by HPLC-MS/MS.The association between the serum 25(OH)D and handgrip strength was analyzed using Logistic regres-sion and Chi-square test for between-group comparisons models.Results:The prevalence of 25(OH)D deficiency and insufficiency among the middle-aged and elderly people in the 5 cities of Western China was 52.9％and 34.5％,respectively.The people who were older,female,and sampled in winter had lower serum 25(OH)D levels(P＜0.05).The prevalence of loss of handgrip strength among the mid-dle-aged and elderly people was 25.3％.The prevalence of handgrip strength loss was higher in the aged 65-80 participants with 25(OH)D deficiency(45.0％)than in those with 25(OH)D insufficiency(32.6％)and 25(OH)D sufficiency(20.6％).The highest prevalence of loss of handgrip strength was found in the aged 75-80 participants with 25(OH)D deficiency(62.1％),followed by the 25(OH)D insufficient group(11.1％,P＜0.05).The study found that middle-aged and elderly people with 25(OH)D deficiency had a 1.4-fold increased risk of handgrip strength loss compared with those with 25(OH)D sufficiency(OR=2.403,95％CI:1.202-4.804,P=0.013).No significant association was found between 25(OH)D insufficiency and handgrip strength status in the middle-aged and elderly people.For every 5 μg/L increase in total serum 25(OH)D,the risk of handgrip strength loss reduced by 13.1％(OR=0.869,95％CI:0.768-0.982,P=0.025).For every 5 μg/L increase in serum 25(OH)D2,the risk of handgrip strength loss reduced by 24.1％(OR=0.759,95％CI:0.582-0.990,P=0.042).No significant association was found between serum 25(OH)D3 levels and the risk of hand-grip strength loss.The risk of handgrip strength loss in middle-aged and elderly people was reduced by 25.2％for each incremental increase in the total serum 25(OH)D levels(deficient,insufficient and suf-ficient)(OR=0.748,95％CI:0.598-0.936,P=0.011).The risk of handgrip loss was reduced by 40.0％for each incremental increase in serum 25(OH)D levels in the aged 65-80 and aged 65-69 participants,and by 80.0％for each incremental increase in 25(OH)D levels in the aged 75-80 parti-cipants.Conclusion:Serum total 25(OH)D and 25(OH)D2 levels are associated with handgrip strength status in middle-aged and elderly people in the 5 cities of Western China.

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 investigate the prevalence and influencing factors of overweight and obesity among preschool children in Suzhou. 【Methods】 A stratified cluster random sampling method was used to select 24 452 children aged 3 - 6 years in different districts of Suzhou from December 2021 to June 2022. Then the prevalence rate of overweight and obesity was determined by physical measurements. A case-control study was conducted with a questionnaire survey of 3 786 children(1 893 in the obesity group and 1 893 in the control group) to analyze the factors influencing preschool obesity. 【Results】 1) The overall detection rates of overweight among preschool children in Suzhou was 14.8%(boys 14.6%, girls 15.0%). The overall detection rates of obesity was 7.9%(boys 8.7%, girls 7.1%), with a statistically significant difference between boys and girls(χ²=19.828, P<0.01). 2) There was statistically significant difference in the detection rates of obesity among different age groups(χ²=98.415, P<0.01), with the lowest rate in the 3 - 4 years old group(5.8%) and the highest rate in the 6 - 7 years old group(11.8%). 3) The overall detection rates of mild, moderate and severe obesity was 4.8%, 2.6% and 0.5%, respectively. The proportion of moderate and severe obesity significantly increased with age(χ²=57.275, P<0.01). 4) Risk factors for preschool obesity included birth weight >4 000g, cesarean section, parental overweight/obesity, strong appetite of children, eating speed <10min/meal, high frequency of fried food consumption(>1time/week), eating while watching television, sedentary behavior >2h/d, insufficient exercise endurance, screen time >1h/d, and late bedtime(after 21∶30)(P<0.05). Protective factors for preschool obesity included larger breakfast consumption, fruits and vegetables as regular snacks, and physical activity after meals(P<0.05). 5) Factors influencing the degree of preschool obesity included paternal overweight(OR=1.33, 95%CI:1.06 - 1.65), paternal obesity(OR=1.91, 95%CI:1.46 - 2.49), maternal overweight(OR=1.25, 95%CI:1.01 - 1.54), maternal obesity(OR=1.94, 95%CI:1.40 - 2.69), low education level of father(junior high school or below)(OR=1.57, 95%CI:1.25 - 1.96), strong appetite of children(OR=1.72, 95%CI:1.41 - 2.11), eating speed <10min/meal(OR=1.29, 95%CI:1.05 - 1.57), sedentary behavior >2h/d(OR=1.51, 95%CI:1.24 - 1.85), insufficient exercise endurance(OR=1.56, 95%CI:1.12 - 2.19), and screen time>1h/d(OR=1.42, 95%CI:1.16 - 1.75). 【Conclusions】 The detection rates of overweight and obesity among preschool children in Suzhou are relatively high, and the detection rate and severity of obesity increase with age. In addition to genetic factors, preschool obesity are also associated with pregnancy and birth history, as well as unhealthy lifestyle after birth.