Objective To explore the clinical value of albumin-globulin ratio(AGR)combined with prostate-specific antigen(PSA)and Gleason score in predicting biochemical recurrence(BCR)after radical resection in patients with localized prostate cancer, and to provide reference for early identification of BCR high-risk patients and individualized treatment. Methods The clinical data of 114 patients with localized prostate cancer treated during Sep.2019 and Sep.2023 were retrospectively analyzed.According to postoperative BCR status, patients were divided into the BCR group(n=43)and non-BCR group(n=71).Preoperative clinical and pathological data were compared between the two groups.Univariate and multivariate Cox regression analyses were used to assess the correlation between these indicators and BCR.The predictive performance of the combined model was evaluated using receiver operating characteristic(ROC)curve.The Kaplan-Meier method was used to compare biochemical recurrence-free survival(BFS)among patients with different AGR, PSA levels and Gleason scores.Results Compared with the non-BCR group, the BCR group had significantly higher PSA level and ISUP grading, but significantly lower AGR level(P＜0.001).Multivariate Cox regression analyses showed that AGR was negatively correlated with BCR(HR=0.031, 95%CI:0.008-0.119, P＜0.001), PSA was positively correlated with BCR(HR=1.009, 95%CI:1.002-1.016, P=0.017), and Gleason score was positively correlated with BCR(HR=1.551, 95%CI:1.199-2.005, P＜0.001).The area under the ROC curve(AUC)for the combined prediction model(AGR + PSA + Gleason score)was 0.886, with a sensitivity of 90.7% and a specificity of 78.9%.Kaplan-Meier analyses showed that patients in the low AGR group, high PSA group, and high Gleason score group had significantly lower BFS than those in the high AGR group, low PSA group and low Gleason score group, respectively(all P＜0.0001).Conclusion The combination of AGR, PSA and Gleason score is closely associated with postoperative BCR in patients with localized prostate cancer.The combined prediction model demonstrates high predictive efficacy and can provide an important reference for the early identification of high-risk BCR patients and for guiding individualized postoperative treatment.

OBJECTIVES: This study aims to evaluate the differences in shear bond strength, marginal adaptation, and nano-microleakage after aging among snowplow, layered filling, and lining techniques applied to the resin-bonded restoration of defective primary teeth. METHODS: In this study, 51 freshly extracted, crown-intact primary anterior teeth and 30 primary molars were collected. The experimental groups were as follows: layered filling group, lining group, and snowplow group. Experiments were performed to compare the differences in shear bond strength, marginal integrity, and silver ion nano-microleakage after aging among these groups. RESULTS: The median shear bond strength of the layered filling group, lining group, and snowplow group were 2.45, 5.72, and 9.43 MPa, respectively. The values for lining group and snowplow group were significantly higher than that for layered filling group (P<0.05). No statistically significant difference was found between lining group and snowplow group (P>0.05). The median overall margin integrity of the layered filling group, lining group, and snowplow group were 55.38%, 48.25%, and 65.63%, respectively. The difference among the three groups was not statistically significant (P>0.05). The median percentages of silver ion nano-microleakage in the layered filling group, lining group, and snowplow group were 11.71%, 9.47%, and 11.55%, respectively. The difference among the three groups was not statistically significant (P>0.05). CONCLUSIONS Applying the snowplow technique to restore defective primary teeth can improve the bond strength and margin integrity and reduce nano-microleakage.
Tooth, Deciduous ; Humans ; Dental Restoration, Permanent/methods* ; Dental Leakage ; Shear Strength ; Dental Bonding/methods* ; Molar ; Composite Resins ; Silver

Vertebral refracture following percutaneous vertebral augmentation (PVA) is commonly seen in elderly patients with osteoporotic thoracolumbar compression fractures (OTLCF). It can lead to recurrent pain, loss of vertebral height, progression of kyphosis, and even neurological dysfunction, significantly impairing patients′ quality of life. Current diagnosis and treatment face multiple challenges, including high misdiagnosis rate, difficulty in choosing between surgical and non-surgical treatment options, lack of standardized surgical protocols, interference from intralesional bone cement during procedures, inadequate stability of internal fixation in osteoporotic bone, and suboptimal compliance of anti-osteoporotic therapy. Establishing a standardized diagnostic and therapeutic framework is urgently needed. To standardize the management process and improve outcomes for vertebral refractures after PVA in elderly OTLCF patients, Spinal Trauma Group of the Orthopedic Branch of Chinese Medical Doctor Association organized experts in the field to develop Guideline for the diagnosis and treatment of vertebral refracture after percutaneous vertebral augmentation in elderly patients with osteoporotic thoracolumbar compression fractures ( version 2025), based on current literature and clinical experience, and adhering to principles of scientific rigor and clinical applicability. A total of 11 recommendations were proposed, encompassing diagnosis, treatment, and rehabilitation of vertebral refracture after PVA in elderly patients with OTLCF, aiming to provide a foundation for a standardized management.

Thoracolumbar spine fracture often leads to severe pain, functional impairments, and neurological deficits, for which open reduction and internal fixation can effectively restore the spinal structural stability. Open decompression and reduction with internal fixation can help relieve spinal cord compression and improve spinal function in cases of concomitant cord injury. Although spinal stability can be restored through surgery, patients often face chronic pain and functional impairments postoperatively. A postoperative rehabilitation program is critical in optimizing therapeutic outcomes, reducing complications, and minimizing the risk of secondary injuries. However, current rehabilitation methods, such as physical therapy, functional training, and pain management, are confronted with problems in clinical practice, including significant variation in efficacy, poor patient adherence, and prolonged rehabilitation period. There is an urgent need for a unified rehabilitation strategy to address these problems. To this end, the Spinal Trauma Group of the Orthopedic Physicians Branch of the Chinese Medical Association and the Spine Health Professional Committee of the Chinese Human Health Technology Promotion Association organized experts from relevant fields to formulate Evidence-based guidelines for rehabilitation treatment after internal fixation of thoracolumbar spine fracture in adults ( version 2025) by integrating evidences from clinical researches and advanced rehabilitation concepts at home and abroad. A total number of 14 recommendations concerning the rehabilitation treatment with multimodal analgesia, psychological intervention, deep vein thrombosis prevention, core muscle and extremity exercise, appropriate use of braces, early weight-bearing, device-aided rehabilitation exercise, neuroregulatory therapy, rehabilitation team were put forward, aiming to standardize the post-operative rehabilitation process following internal fixation, promote the functional recovery, and enhance patients′ quality of life.

Acute symptomatic osteoporotic thoracolumbar compression fracture (ASOTLF) can lead to chronic low back pain, kyphosis deformity, pulmonary dysfunction, loss of mobility, and even life-threatening complications. Vertebral augmentation is currently the mainstream treatment method for this condition. In 2019, the Editorial Board of Chinese Journal of Trauma and the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association collaboratively led the development of Clinical guideline for vertebral augmentation for acute symptomatic osteoporotic thoracolumbar compression fractures. Six years later, with advances in clinical diagnosis and treatment techniques as well as accumulating evidence in related fields, the 2019 guideline requires updating. To this end, the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association, the Spinal Health Professional Committee of China Human Health Science and Technology Promotion Association, and the Minimally Invasive Orthopedics Professional Committee of Shaanxi Medical Doctor Association have organized experts in the field to develop the Clinical guideline for vertebral augmentation of acute symptomatic osteoporotic thoracolumbar compression fractures ( version 2025) , based on the latest evidence-based medical researches. This guideline incorporates 3 recommendations retained from the 2019 version with updated strength of evidence, along with 12 new recommendations. It provides recommendations from six aspects of diagnosis, pain management, treatment option selection, prevention of postoperative complications, anti-osteoporosis therapy, and postoperative rehabilitation, aiming to provide a reference for standard treatment of vertebral augmentation for ASOTLF in hospitals at all levels.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To explore the framework of data ethics, especially data ethics principles based on the purpose of data ethics, and analyze data ethics strategies in China.Methods:The methods involved analyzing data ethics and its control scope based on literatures. The applicability of basic ethical principles to data ethics was disscussed, along with the development of data ethics and ethics review practices in the health field. Efforts were made to explain data ethics principles within the framework of basic ethical principles. The data ethics and ethical review strategy of China were analyzed under existing laws, regulations, and relevant policies.Results:Data ethics govern activite involving data, algorithms, and the application of data and algorithms. The purpose of data ethics aligned with research ethics, and the diverse descriptions of data ethics principles reported could be encompassed within basic ethical principles. Data ethics and requirements of data ethical reviews in China were reflected in the laws and regulations related to data safety and research ethics.Conclusions:Basic ethical principles are universally applicable. Data and research ethics represent the application of these basic ethical principles within distinct domains, each with specific requirements. Data ethics necessitate a comprehensive review of scientific and technological activities pertaining to data, algorithms, and their interactions, addressing ethical governance as well as ethical considerations.

Objective:This study aimed to explore the challenges and issues arising from the factors that affect the governance and management of big data and artificial intelligence in medicine, and to establish a foundation for proposing solutions to these challenges and issues.Methods:We analyzed how big data and artificial intelligence influence different aspects of medical research by reviewing a range of literature. We proposed potential strategies to address the major challenges and issues associated with medical big data and artificial intelligence by analyzing their core elements and interrelationships.Results:The application of big data and artificial intelligence has significantly impacted the paradigms of medical research, drug development, clinical decision-making, and medical education. Two main aspects highlighted the challenges and issues related to governance and management arising from these advancements. The first involved ethical challenges stemming from data and algorithmic processes, including those related to artificial intelligence. A major concern was the potential bias in the algorithms, which can emerge during data collection, coding, and feedback. The second aspect focused on the governance and management elements of the data and stakeholders. Two key issues were the quality and integration efficiency of fundamental data, as well as property rights and intellectual property related to data, which currently lack a proper recognition system. This recognition was vital for distributing rights, interests, and responsibilities among stakeholders during data sharing and applications.Conclusion:Key issues regarding the governance and management of big data and artificial intelligence in medicine should be addressed. These include developing a framework for data ethics, including ethical review strategies and keypoints for medical artificial intelligence; establishing standards for data structure to enhance data quality and interactivity; and clarifying the principles of decisions on data ownership and intellectual property to distribute rights and interests.

Objective:This study aims to explore the issues of data property rights confirmation based on the original intent of intellectual property (IP) systems and the unique characteristics of data. It proposes potential strategies and solutions for establishing property rights over data and data-driven achievements.Methods:The study utilized a theoretical analysis to investigate the importance of confirming property rights for data and data-related achievements in the context of data sharing and transactions. The study proposd specific protection schemes for data property rights system, given the distinct nature of data compared to traditional " things, " and analyzed the applicability and limitations of traditional property including IP rights to data. Comparative analysis was used to compare data property rights registration and with the protection of copyrights, patent rights, and commercial secrets to Aggregate Data and their product. This study also summarized China′s strategies for promoting data as a factor of production through data property rights systems.Results:Data exhibited multidimensionality and copyability. It possessed characteristics of both " real property" and " personal property", and similarity to those of intellectual achievements. Copyright cannot protect the intrinsic value of the data. Patent rights were not applicable to Aggregate Data, but they cover data-driven research outcomes, including those involving data and algorithms. However, under the unified conditions for substantive examination of patents for authorization, patent examination should reflect the characteristics of the times for " prior art" and " ordinary technician". Data property right registration offers certain advantages in terms of protection, but measures should be taken to avoid excessive protection and abuse of the rights.Conclusions:Big data is not the object of data property rights. The multidimensionality of data determines the multidimensionality of the rights framework. The data rights system include three dimensions: personal data rights, aggregate data rights, and traditional IP rights related to data-driven innovation in conjunction with other technologies. The right to data property can be confirmed through categorical strategy. The traditional IP system can encompass data-driven innovation, and data control rights can provide a basis for data benefits and ensure the income rights of contributors during data sharing and transactions.