OBJECTIVE To explore the influencing factors and improvement pathways for the effectiveness of China’s pharmaceutical information traceability system construction， and to provide references for regulating the pharmaceutical market order， ensuring the security of medical insurance funds， and safeguarding public health.METHODS Based on the technology-organization-environment （TOE） theoretical framework， six conditional variables were selected， including the level of big data development， interdepartmental coordination mechanisms， regulatory exposure intensity， quality of traceability personnel， government financial investment， and degree of public attention. The fuzzy set qualitative comparative analysis （fsQCA） method was employed to collect policies related to pharmaceutical information traceability systems issued by 31 provinces（autonomous regions， municipalities） in China， and to explore the condition configurations and optimization pathways for promoting the construction of pharmaceutical information traceability systems. RESULTS &CONCLUSIONS No single condition exerts a decisive influence on the construction of pharmaceutical information traceability systems. However， the level of big data development， quality of traceability personnel， regulatory exposure intensity， and degree of public attention play key roles in the configuration pathways. There are four pathways for efficiently promoting the construction of pharmaceutical information traceability systems， namely the competence enhancement type， the technological breakthrough type， the technology-focused type， and the environment-driven type； the consistencies of all pathways were higher than 0.750, with an solution consistency of 0.790 and an solution coverage of 0.897. Each province can select an appropriate path according to its own conditions. It is recommended to promote the high-quality construction of pharmaceutical information traceability systems through technological innovation， strengthening interdepartmental coordination and full-chain regulation， and optimizing the environment for system construction. Meanwhile， attention should also be paid to the implementation difficulties faced by medical institutions so as to reduce their implementation costs.

Background and Aims:In recent years,with the continuous progress of systemic therapy,hepatic arterial infusion chemotherapy(HAIC)combined with immune checkpoint inhibitors and anti-angiogenic agents has demonstrated significant efficacy in the treatment of advanced hepatocellular carcinoma(HCC).However,direct comparisons between different immunotherapeutic targets,such as PD-1 and PD-L1 inhibitors,in terms of clinical benefit and safety remain limited.This study aimed to compare the efficacy and safety of HAIC plus bevacizumab and sintilimab(HAIC-BP1)versus HAIC plus bevacizumab and atezolizumab(HAIC-BPL)in advanced HCC.Methods:A retrospective analysis was conducted on 88 patients with advanced HCC who received first-line HAIC-BP1or HAIC-BPL at Sun Yat-sen University Cancer Center between January 2020 and December 2022.Progression-free survival(PFS),overall survival(OS),objective response rate(ORR),disease control rate(DCR),and adverse events(AEs)were compared between the two groups.Cox regression analysis was performed to identify prognostic factors affecting PFS.Results:A total of 47 patients were included in the HAIC-BP1 group and 41 patients in the HAIC-BPL group,with no statistically significant differences in baseline characteristics between the two groups(all P>0.05).The ORR(59.6%vs.65.9%)and DCR(72.3%vs.80.5%)did not significantly differ between the HAIC-BP1 group and the HAIC-BPL group(both P>0.05).After a median follow-up of 16.3 months,there were no significant differences in median OS(21.3 months vs.22.4 months)or median PFS(6.7 months vs.6.2 months)between the HAIC-BP1 group and the HAIC-BPL group(both P>0.05).The incidence of AEs was similar,and no treatment-related deaths occurred.Multivariate Cox regression analysis identified tumor diameter>10 cm as an independent adverse prognostic factor for PFS(HR=0.48,95%CI=0.27-0.83,P=0.009).Conclusion:Both HAIC-BP1 and HAIC-BPL demonstrated comparable efficacy and favorable safety profiles as first-line treatment options for advanced HCC.Tumor diameter>10 cm was an independent unfavorable prognostic factor for PFS,underscoring the importance of patient stratification in clinical decision-making.

Objective:To develop a deep learning model based on 3D super-resolution reconstruction technology and to analyze its feasibility and effectiveness in predicting paraglottic space invasion in hypopharyngeal cancer.Methods:A retrospective study was conducted involving 382 patients with hypopharyngeal squamous cell carcinoma treated at Qilu Hospital of Shandong University between January 2014 and December 2020. The cohort included 364 males and 18 females, with a mean age of 62±7 years. Patients were divided into a training set ( n=300) and a test set ( n=82) based on enrollment time. A generative adversarial network was used to perform 3D super-resolution reconstruction on contrast-enhanced CT images, improving spatial resolution by 16 times. A 2.5D deep learning strategy was employed to construct Resnet-NR and Resnet-SR models based on conventional and super-resolution images, respectively, to predict whether the paraglottic space was invaded. Model performance was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC). A multi-reader multi-case study was conducted to assess the impact of the artificial intelligence (AI) model on clinicians′ diagnostic capabilities. Results:The super-resolution model Resnet-SR achieved the highest accuracy in both the training set (AUC=0.87, 95% CI: 0.84-0.90) and the test set (AUC=0.88, 95% CI: 0.81-0.96), significantly outperforming traditional clinical indicators (T stage, N stage, tumor diameter, and pathological differentiation degree) (AUC range: 0.55-0.70, all P<0.05). In comparison, the conventional-resolution model Resnet-NR achieved AUCs of 0.81 (95% CI: 0.77-0.84, P=0.005) and 0.80 (95% CI: 0.71-0.89, P=0.184) in the training and test sets, respectively. Using Resnet-SR to assist clinical decision-making improved the diagnostic accuracy of junior physicians (AUC=0.793 without AI assistance vs. AUC=0.871 with AI assistance, P=0.012) and significantly reduced diagnosis time for clinicians of all experience levels (86.5 s without AI assistance vs. 82.5 s with AI assistance, t=2.01, P=0.032). Conclusion:This study successfully develops a deep learning model based on 3D super-resolution reconstruction technology, which can assist in preoperative prediction of paraglottic space invasion in hypopharyngeal cancer. The AI-assisted tool improves diagnostic accuracy for junior physicians and enhances diagnostic efficiency for clinicians across all experience levels.

Objective:To develop a deep learning model based on 3D super-resolution reconstruction technology and to analyze its feasibility and effectiveness in predicting paraglottic space invasion in hypopharyngeal cancer.Methods:A retrospective study was conducted involving 382 patients with hypopharyngeal squamous cell carcinoma treated at Qilu Hospital of Shandong University between January 2014 and December 2020. The cohort included 364 males and 18 females, with a mean age of 62±7 years. Patients were divided into a training set ( n=300) and a test set ( n=82) based on enrollment time. A generative adversarial network was used to perform 3D super-resolution reconstruction on contrast-enhanced CT images, improving spatial resolution by 16 times. A 2.5D deep learning strategy was employed to construct Resnet-NR and Resnet-SR models based on conventional and super-resolution images, respectively, to predict whether the paraglottic space was invaded. Model performance was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC). A multi-reader multi-case study was conducted to assess the impact of the artificial intelligence (AI) model on clinicians′ diagnostic capabilities. Results:The super-resolution model Resnet-SR achieved the highest accuracy in both the training set (AUC=0.87, 95% CI: 0.84-0.90) and the test set (AUC=0.88, 95% CI: 0.81-0.96), significantly outperforming traditional clinical indicators (T stage, N stage, tumor diameter, and pathological differentiation degree) (AUC range: 0.55-0.70, all P<0.05). In comparison, the conventional-resolution model Resnet-NR achieved AUCs of 0.81 (95% CI: 0.77-0.84, P=0.005) and 0.80 (95% CI: 0.71-0.89, P=0.184) in the training and test sets, respectively. Using Resnet-SR to assist clinical decision-making improved the diagnostic accuracy of junior physicians (AUC=0.793 without AI assistance vs. AUC=0.871 with AI assistance, P=0.012) and significantly reduced diagnosis time for clinicians of all experience levels (86.5 s without AI assistance vs. 82.5 s with AI assistance, t=2.01, P=0.032). Conclusion:This study successfully develops a deep learning model based on 3D super-resolution reconstruction technology, which can assist in preoperative prediction of paraglottic space invasion in hypopharyngeal cancer. The AI-assisted tool improves diagnostic accuracy for junior physicians and enhances diagnostic efficiency for clinicians across all experience levels.

Objective:To explore the effects of age and gender on the sagittal spinal-pelvic parameters during the natural aging process of healthy adults.Methods:A total of 647 Chinese healthy adults who underwent health check-ups at the Second Affiliated Hospital of Zhejiang University School of Medicine and Songyang County People's Hospital, from January 2017 to September 2024 were collected. There were 277 males and 370 females, aged 18-93 years. Anteroposterior and lateral X-ray films of the whole spine were taken to evaluate the spinal-pelvic sagittal morphology. The following parameters were measured: thoracic kyphosis (TK), lumbar lordosis(LL), sacral slope (SS), pelvic incidence (PI), pelvic tilt (PT), global tilt (GT), T 1-pelvic angle (TPA), sagittal vertical axis (SVA), thoracic Cobb angle (T-Cobb), lower end vertebra of thoracic Cobb angle (T-LEV), apex vertebra of thoracic Cobb angle (T-Apex), lumbar Cobb angle (L-Cobb). Compare the differences in spine-pelvis parameters among patients of different genders and age groups (in this study, the subjects were subdivided into the 18-29, 30-39, 40-49, 50-59, 60-69, 70-79, and 80-93 years groups according to the age range). Results:The results showed that GT, SVA, TPA, and PT increased with age ( P<0.05). For males aged 18-29, 30-39, 40-49, 50-59, 60-69, 70-79, and 80-93 years, PT values were 8.58°±6.47°, 9.60°±5.63°, 12.65°±7.13°, 11.00°±6.99°, 13.01°±8.63°, 15.77°±8.02°, and 18.47°±10.03° respectively; for females in the same age groups, the PT values were 8.44°±6.83°, 9.00°±6.44°, 11.84°±7.35°, 12.07°±7.51°, 15.44°±9.39°, 19.26°±8.28°, and 18.17°±9.43° respectively. For males in these age groups, the global tilt (GT) values were 6.37°±7.20°, 8.77°±6.51°, 10.38°±9.07°, 8.80°±7.49°, 10.80°±8.62°, 16.07°±10.42°, and 21.99°±12.65° respectively; for females, the GT values were 4.46°±8.09°, 5.96°±7.83°, 8.17°±6.88°, 9.41°±8.03°, 9.96°±1.39°, 17.89°±9.39°, and 19.55°±12.34° respectively. The sagittal vertical axis (SVA) values for males in the age groups were -7.94±25.57 mm, -2.98±25.69 mm, -4.63±20.90 mm, -6.43±32.81 mm, 7.85±43.39 mm, 36.49±53.89 mm, and 55.57±51.10 mm respectively; for females, they were -24.12±31.35 mm, -17.49±25.12 mm, -17.88±22.72 mm, -8.25±30.91 mm, 8.80±27.45 mm, 28.67±38.22 mm, and 23.23±35.19 mm respectively. For males, the thoracic pelvic angle (TPA) values across the age groups were 4.46°±5.94°, 6.05°±5.38°, 9.58°±9.35°, 7.52°±7.64°, 11.23°±9.59°, 16.32°±12.38°, and 18.49°±11.70° respectively; for females, the TPA values were 2.72°±6.88°, 3.68°±6.26°, 7.30°±6.11°, 7.44°±6.75°, 12.64°±9.79°, 19.08°±10.39°, and 16.79°±13.19° respectively. T-Cobb, T-LEV, and T-Apex increased slowly with age ( P<0.05). The pelvic incidence (PI) remained relatively constant in males ( P>0.05), while it increased slowly with age in females ( P<0.05). Conclusions:Sagittal anteversion of the spinal-pelvis increases with age. Gender differences are reflected in specific changes in the fluctuation amplitude of certain parameters (such as PI), and the fluctuations of indicators like T-Cobb, T-LEV, and T-Apex are closely related to the natural aging process of the spine.

In this comprehensive review, we delve into the evolution of drug delivery systems in reproductive medicine with a focus on the emerging role of exosomes, a class of extracellular vesicles. Exosomes offer unique advantages in overcoming these challenges due to their inherent biocompatibility, stability, and ability to facilitate targeted delivery. This review provides a detailed examination of exosome biogenesis and their function in cellular communication, setting the stage for understanding their potential as drug delivery vehicles. We explore the mechanisms through which exosomes can be loaded with small molecule drugs and the benefits they offer over synthetic nanoparticles. The review highlights groundbreaking case studies that illustrate the successful application of exosome-mediated drug delivery in reproductive health, including enhancing fertility treatments, supporting gamete and embryo development, and facilitating maternal-fetal communication. This study aims to provide a precise understanding of how exosomal drug delivery can revolutionize treatments for reproductive health disorders, paving the way for future therapeutic applications. Lastly, we touch upon the promising therapeutic implications of exosomal delivery for proteins and genes, offering a window into future treatments for reproductive health disorders.

Background and Aims:In recent years,with the continuous progress of systemic therapy,hepatic arterial infusion chemotherapy(HAIC)combined with immune checkpoint inhibitors and anti-angiogenic agents has demonstrated significant efficacy in the treatment of advanced hepatocellular carcinoma(HCC).However,direct comparisons between different immunotherapeutic targets,such as PD-1 and PD-L1 inhibitors,in terms of clinical benefit and safety remain limited.This study aimed to compare the efficacy and safety of HAIC plus bevacizumab and sintilimab(HAIC-BP1)versus HAIC plus bevacizumab and atezolizumab(HAIC-BPL)in advanced HCC.Methods:A retrospective analysis was conducted on 88 patients with advanced HCC who received first-line HAIC-BP1or HAIC-BPL at Sun Yat-sen University Cancer Center between January 2020 and December 2022.Progression-free survival(PFS),overall survival(OS),objective response rate(ORR),disease control rate(DCR),and adverse events(AEs)were compared between the two groups.Cox regression analysis was performed to identify prognostic factors affecting PFS.Results:A total of 47 patients were included in the HAIC-BP1 group and 41 patients in the HAIC-BPL group,with no statistically significant differences in baseline characteristics between the two groups(all P>0.05).The ORR(59.6%vs.65.9%)and DCR(72.3%vs.80.5%)did not significantly differ between the HAIC-BP1 group and the HAIC-BPL group(both P>0.05).After a median follow-up of 16.3 months,there were no significant differences in median OS(21.3 months vs.22.4 months)or median PFS(6.7 months vs.6.2 months)between the HAIC-BP1 group and the HAIC-BPL group(both P>0.05).The incidence of AEs was similar,and no treatment-related deaths occurred.Multivariate Cox regression analysis identified tumor diameter>10 cm as an independent adverse prognostic factor for PFS(HR=0.48,95%CI=0.27-0.83,P=0.009).Conclusion:Both HAIC-BP1 and HAIC-BPL demonstrated comparable efficacy and favorable safety profiles as first-line treatment options for advanced HCC.Tumor diameter>10 cm was an independent unfavorable prognostic factor for PFS,underscoring the importance of patient stratification in clinical decision-making.

Objective:To explore the effects of age and gender on the sagittal spinal-pelvic parameters during the natural aging process of healthy adults.Methods:A total of 647 Chinese healthy adults who underwent health check-ups at the Second Affiliated Hospital of Zhejiang University School of Medicine and Songyang County People's Hospital, from January 2017 to September 2024 were collected. There were 277 males and 370 females, aged 18-93 years. Anteroposterior and lateral X-ray films of the whole spine were taken to evaluate the spinal-pelvic sagittal morphology. The following parameters were measured: thoracic kyphosis (TK), lumbar lordosis(LL), sacral slope (SS), pelvic incidence (PI), pelvic tilt (PT), global tilt (GT), T 1-pelvic angle (TPA), sagittal vertical axis (SVA), thoracic Cobb angle (T-Cobb), lower end vertebra of thoracic Cobb angle (T-LEV), apex vertebra of thoracic Cobb angle (T-Apex), lumbar Cobb angle (L-Cobb). Compare the differences in spine-pelvis parameters among patients of different genders and age groups (in this study, the subjects were subdivided into the 18-29, 30-39, 40-49, 50-59, 60-69, 70-79, and 80-93 years groups according to the age range). Results:The results showed that GT, SVA, TPA, and PT increased with age ( P<0.05). For males aged 18-29, 30-39, 40-49, 50-59, 60-69, 70-79, and 80-93 years, PT values were 8.58°±6.47°, 9.60°±5.63°, 12.65°±7.13°, 11.00°±6.99°, 13.01°±8.63°, 15.77°±8.02°, and 18.47°±10.03° respectively; for females in the same age groups, the PT values were 8.44°±6.83°, 9.00°±6.44°, 11.84°±7.35°, 12.07°±7.51°, 15.44°±9.39°, 19.26°±8.28°, and 18.17°±9.43° respectively. For males in these age groups, the global tilt (GT) values were 6.37°±7.20°, 8.77°±6.51°, 10.38°±9.07°, 8.80°±7.49°, 10.80°±8.62°, 16.07°±10.42°, and 21.99°±12.65° respectively; for females, the GT values were 4.46°±8.09°, 5.96°±7.83°, 8.17°±6.88°, 9.41°±8.03°, 9.96°±1.39°, 17.89°±9.39°, and 19.55°±12.34° respectively. The sagittal vertical axis (SVA) values for males in the age groups were -7.94±25.57 mm, -2.98±25.69 mm, -4.63±20.90 mm, -6.43±32.81 mm, 7.85±43.39 mm, 36.49±53.89 mm, and 55.57±51.10 mm respectively; for females, they were -24.12±31.35 mm, -17.49±25.12 mm, -17.88±22.72 mm, -8.25±30.91 mm, 8.80±27.45 mm, 28.67±38.22 mm, and 23.23±35.19 mm respectively. For males, the thoracic pelvic angle (TPA) values across the age groups were 4.46°±5.94°, 6.05°±5.38°, 9.58°±9.35°, 7.52°±7.64°, 11.23°±9.59°, 16.32°±12.38°, and 18.49°±11.70° respectively; for females, the TPA values were 2.72°±6.88°, 3.68°±6.26°, 7.30°±6.11°, 7.44°±6.75°, 12.64°±9.79°, 19.08°±10.39°, and 16.79°±13.19° respectively. T-Cobb, T-LEV, and T-Apex increased slowly with age ( P<0.05). The pelvic incidence (PI) remained relatively constant in males ( P>0.05), while it increased slowly with age in females ( P<0.05). Conclusions:Sagittal anteversion of the spinal-pelvis increases with age. Gender differences are reflected in specific changes in the fluctuation amplitude of certain parameters (such as PI), and the fluctuations of indicators like T-Cobb, T-LEV, and T-Apex are closely related to the natural aging process of the spine.

Wubeizi(Galla Chinensis)is a commonly used traditional Chinese medicine in modern clinical practice,which is widely used to treat hemorrhoids,bleeding,mouth ulcers and other diseases.Based on the incopat patent database,the global Galla Chinensis sub-patent search in the past 20 years was conducted,and a total of 8123 related patents were retrieved;Using the basic chart analysis method,the pattern analysis of Galla Chinensis sub-patents was carried out from the aspects of application trend,patent value,technical field,legal status,etc.The analysis results show that the development of Galla Chinensis is in the rapid development stage,Galla Chinensis has in-depth research in the treatment of hemorrhoids,oral ulcers,bleeding,Chinese herbal medicine,Chinese patent medicine and cosmetics are the hot spot of research and development at present,China and South Korea are the main distribution countries of Galla Chinensis patents.The number of Chinese Galla Chinensis patents is large,but the patent quality,value and patent level of the world have a certain gap.In view of the current development trend of Galla Chinensis,there is still a large amount of patent application space in this field.Chinese Galla Chinensis patent applicants can combine their own advantages,development trend and short board to formulate scientific development strategy,thus improving the core competitiveness of Galla Chinensis industry fundamentally.

Denosumab, a human monoclonal antibody, is used for the prevention of malignant tumor-related bone events and the treatment of osteoporosis with high fracture risk. Since its approval in China in 2019, denosumab-related osteonecrosis of the jaw (DRONJ) has attracted increasing attention. DRONJ, similar to bisphosphonate-related osteonecrosis of the jaw, often occurs after tooth extraction and manifests as exposed bone necrosis, purulent discharge, facial swelling and pain, severely impacting patients′ quality of life. However, the perioperative management strategies for DRONJ differ from those for bisphosphonate-related osteonecrosis of the jaw. This article summarizes the perioperative management strategies for high-risk DRONJ patients from aspects such as oral hygiene care, antibiotic use, drug discontinuation during the perioperative period, and surgical strategy selection, aiming to provide guidance for oral surgeons in managing tooth extraction in denosumab-treated patients.