Objective To investigate the governance requirements for real world data(RWD)in China's medical standards and specifications,summarize key technical aspects of data governance,and provide refer-ences for RWD governance-related research.Methods Computerized searches were conducted in CNKI,Wan-fang Data,VIP,and SinoMed,as well as the official websites of 29 national medical societies and the National Standard Information Public Service Platform,covering all records from inception to December 12,2023.A data extraction form was developed,and the included standards and specifications were categorized according to the first six RWD governance processes outlined in the Guidelines for Real World Data Used to Generate Real-World Evidence(Trial)issued by the National Medical Products Administration:data security,data extraction,data cleaning,data transformation,data transmission and storage,and quality control.Relevant content on data governance was systematically summarized and comparatively analyzed.Results A total of 32 standards and specifications were included,comprising 15 foundational medical data standards and 17 data gov-ernance technical specifications.Among these,6 addressed data security,6 covered data extraction,5 focused on data cleaning,5 involved data transformation,6 pertained to data transmission and storage,and 4 discussed quality control.Foundational medical data standards included data description elements,terminology,and format standards,broadly covering essential data elements and meeting basic standardization needs.Data gov-ernance technical specifications primarily provided general guidelines for medical data governance,emphasizing requirements and recommendations.While requirements for data security and extraction were relatively well-de-fined,technical guidance on data transformation and quality control remained limited,and implementation pathways for data cleaning,transmission,and storage were insufficiently detailed.Conclusions As real-world evidence plays an increasingly critical role in healthcare decision-making,China's medical standards and speci-fications have established a preliminary governance framework for RWD.However,technical details and practi-cal implementation of RWD governance still require further refinement.

Objective To investigate the governance requirements for real world data(RWD)in China's medical standards and specifications,summarize key technical aspects of data governance,and provide refer-ences for RWD governance-related research.Methods Computerized searches were conducted in CNKI,Wan-fang Data,VIP,and SinoMed,as well as the official websites of 29 national medical societies and the National Standard Information Public Service Platform,covering all records from inception to December 12,2023.A data extraction form was developed,and the included standards and specifications were categorized according to the first six RWD governance processes outlined in the Guidelines for Real World Data Used to Generate Real-World Evidence(Trial)issued by the National Medical Products Administration:data security,data extraction,data cleaning,data transformation,data transmission and storage,and quality control.Relevant content on data governance was systematically summarized and comparatively analyzed.Results A total of 32 standards and specifications were included,comprising 15 foundational medical data standards and 17 data gov-ernance technical specifications.Among these,6 addressed data security,6 covered data extraction,5 focused on data cleaning,5 involved data transformation,6 pertained to data transmission and storage,and 4 discussed quality control.Foundational medical data standards included data description elements,terminology,and format standards,broadly covering essential data elements and meeting basic standardization needs.Data gov-ernance technical specifications primarily provided general guidelines for medical data governance,emphasizing requirements and recommendations.While requirements for data security and extraction were relatively well-de-fined,technical guidance on data transformation and quality control remained limited,and implementation pathways for data cleaning,transmission,and storage were insufficiently detailed.Conclusions As real-world evidence plays an increasingly critical role in healthcare decision-making,China's medical standards and speci-fications have established a preliminary governance framework for RWD.However,technical details and practi-cal implementation of RWD governance still require further refinement.

Objective:To construct a clinical-radiomics model based on MRI, and to explore its predictive value for biochemical recurrence (BCR) after radical prostatectomy in prostate cancer patients.Methods:A total of 212 patients with prostate cancer who underwent radical prostatectomy in the First Affiliated Hospital of Soochow University from January 2015 to December 2018 and had complete follow-up data were retrospectively analyzed. The random toolkit of Python language was used to randomly sample the patients at a ratio of 7∶3 without replacement, and they were divided into a training set (149 cases) and a test set (63 cases). The endpoint of follow-up was BCR or at least 3 years. BCR occurred in 50 patients in the training group and 21 patients in the test group. The imaging features of the main lesion area in the preoperative T 2WI, diffusion-weighted imaging and apparent diffusion coefficient map of patients in the training set were extracted, and the unsupervised K means clustering algorithm was used to screen the features. The selected features were fitted by a multivariate Cox regression model, and the radiomics model was constructed. Univariate Cox regression analyses were used to screen the main clinical risk factors associated with BCR, and the clinical-radiomics model was constructed combined with RadScore. In the test set, the time-dependent receiver operating characteristic (ROC) curve was constructed, and the area under the curve (AUC) was calculated to evaluate the predictive efficacy of the radiomics model, clinical-radiomics model and prostate cancer risk assessment after radical resection (CAPRA-S) score for the occurrence of BCR. Harrell consistency index (C-index) was used to evaluate the model to predict BCR consistency. The calibration curve was used to evaluate the degree of variation of the model. The decision curve was used to evaluate the clinical application value of the prediction model. Results:A total of 26 radiomics features were screened to establish the radiomics model. The univariate Cox showed that the preoperative clinical features included preoperative prostate-specific antigen level (HR=1.006, 95%CI 1.002-1.009, P=0.001), Gleason score of biopsy (HR=1.422, 95%CI 1.153-1.753, P=0.001), clinical T stage (HR=1.501, 95%CI 1.238-1.822, P<0.001). The multivariate Cox showed that the RadScore was an independent predictor of BCR after radical prostatectomy (HR=51.214, 95%CI 18.226-143.908, P<0.001). The selected preoperative clinical features were combined with RadScore to construct a clinical-radiomics model. In the test set, the AUCs of the time (3 years)-dependent ROC curves of the radiomics model, the clinical-radiomics model, and the CAPRA-S score were 0.824 (95%CI 0.701-0.948), 0.841 (95%CI 0.714-0.968), and 0.662 (95%CI 0.518-0.806), respectively. The C-index of the radiomics model, clinical-radiomics model and CAPRA-S score were 0.784 (95%CI 0.660-0.891), 0.802 (95%CI 0.637-0.912) and 0.650 (95%CI 0.601-0.821), respectively. The calibration curve showed that the predicted probability and actual probability of BCR by radiomics model, clinical-radiomics model and CAPRA-S score were in good agreement (χ 2=7.64, 10.61, 6.37, P=0.465, 0.225, 0.498). The decision curve showed that the clinical net benefit of the clinical-radiomics model and the radiomics model was significantly higher than the CAPRA-S score. When the threshold probability was 0.20-0.30, 0.40-0.50, and >0.55, the clinical net benefit of the clinical radiomics model was higher than that of the radiomics model. Conclusions:The clinical-radiomics model can effectively predict the occurrence of BCR in patients with prostate cancer after radical prostate ctomy, and the prediction efficacy is better than the radiomics model and CAPRA-S score.

Objective To investigate the safety of laparoscopic common bile duct exploration and lithotomy with primary closure and without placing drainage tube postoperatively.Methods Forty patients who received laparoscopic common bile duct exploration and lithotomy at the Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University from January 2011 to June 2013 were prospectively analyzed.All the patients were randomly divided into 2 groups according to the random number table.Twenty patients in the experimental group did not received drainage tube placement,and the other 20 patients in the control group had subhepatic drainage after operation.The operation time,duration of hospital stay and incidence of postoperative complications were compared between the 2 groups.Patients received computed tomography and B sonography at postoperative month 1 and 3,and then patients were reexamined every 6 months till postoperative year 3.The follow-up was ended on July 31,2013.The measurement data and the count data were analyzed using the independent sample t test and the Fisher exact probability,respectively.Results Patients in the 2 groups were cured after the operation.The operation time and duration of hospital stay were (117 ± 11) minutes and (5.6 ± 0.6) days in the experimental group,and (108 ± 12)minutes and (7.9 ± 0.7)days in the control group,with significant difference between the 2 groups (t =2.453,-ll.388,P ＜ 0.05).No complications including bile leakage,residual stones,obstructive jaundice,abdominal bleeding and subphrenic infection were detected after the operation.Thirty-one patients were followed up for 1 month to 2 years,no bile duct stone recurrence or biliary stricture were detected during the follow-up.Conclusion Laparoscopic common bile duct exploration and lithotomy with primary closure and without placing drainage tube postoperatively is safe and feasible.