Traditional Chinese medicine （TCM） clinical trials face challenges such as low participant compliance， insufficient geographical coverage， and cost-effectiveness imbalances. Decentralized clinical trials （DCT）， enabled by digital technology for remote data collection and monitoring， offer a new direction for TCM clinical trial research. This article systematically reviews three novel clinical trial design models. Combining the holistic concept and indivi-dualized treatment characteristics of TCM， it analyzes the challenges currently faced in TCM DCT practice， including the digitization and standardization of TCM theory， data security， privacy protection and patient engagement difficu-lties， insufficient ethical review and regulatory system adaptation， inadequate personnel training， and a shortage of interdisciplinary talent. Addressing these challenges， the article proposes methodological recommendations for DCT implementation that align with the principles of TCM diagnosis and treatment. These recommendations include promoting the intelligentization and standardization of TCM practices， constructing a full-chain data security and privacy protection system， improving the ethical framework and clarifying regulatory responsibilities， and cultivating and building interdisciplinary talent and capabilities， which provide theoretical and technical references for establishing standardized DCT practices in TCM.

Traditional Chinese medicine （TCM） clinical trials face challenges such as low participant compliance， insufficient geographical coverage， and cost-effectiveness imbalances. Decentralized clinical trials （DCT）， enabled by digital technology for remote data collection and monitoring， offer a new direction for TCM clinical trial research. This article systematically reviews three novel clinical trial design models. Combining the holistic concept and indivi-dualized treatment characteristics of TCM， it analyzes the challenges currently faced in TCM DCT practice， including the digitization and standardization of TCM theory， data security， privacy protection and patient engagement difficu-lties， insufficient ethical review and regulatory system adaptation， inadequate personnel training， and a shortage of interdisciplinary talent. Addressing these challenges， the article proposes methodological recommendations for DCT implementation that align with the principles of TCM diagnosis and treatment. These recommendations include promoting the intelligentization and standardization of TCM practices， constructing a full-chain data security and privacy protection system， improving the ethical framework and clarifying regulatory responsibilities， and cultivating and building interdisciplinary talent and capabilities， which provide theoretical and technical references for establishing standardized DCT practices in TCM.

Implementation science (IS) aims to systematically analyze and address the real-world gaps from evidence to practice and the influencing factors of the context. It is necessary to carry out qualitative research to gather relevant implementation outcomes. Nevertheless, traditional qualitative analysis has issues such as consuming a great deal of time and energy, and it is unable to promptly provide the crucial data required for implementation science research. The Rapid Qualitative Analysis (RQA) method, through semi-structured interviews and the adoption of techniques such as immediate data condensation and matrix analysis, can effectively shorten the cycle of qualitative data collection and data processing. RQA can promptly identify social determinants of health such as structural barriers, facilitators, and the behavioral characteristics of target groups. It provides a real-time basis for public health decision-making, the interpretation of complex social phenomena, and the process and effectiveness evaluation of research projects. Although RQA is difficult to conduct in-depth theoretical analysis based on grounded theory, its efficiency and flexibility make it the preferred tool for large-scale and time-sensitive research. Thus, it has been widely applied in implementation science research. This paper sorts out the core concepts and commonly used technical methods of RQA, as well as the differences between RQA and traditional qualitative analysis. It also explores the applications of RQA in intervention optimization, process evaluation, and implementation outcome evaluation. By integrating specific cases, this paper clarifies its application value in the field of implementation science. In the future, it is advisable to explore the integration of RQA with technologies such as artificial intelligence and big data, in order to bridge the gap between the transformation of scientific research achievements into practice. Under circumstances of limited resources or tight time constraints, RQA can be used to efficiently conduct implementation science research, providing convenient and scientific methodological and technical support for accelerating evidence-based practice.

Joubert syndrome is a rare primary ciliopathy characterized by hypoplasia of the midbrain and vermis cerebellum, with or without extracerebral organs involvement. This article reports a case of Joubert syndrome with RPGRIP1L mutation, presented with anemia, renal dysfunction, growth retardation, and mental retardation. The patient reached end-stage renal disease at the age of 13 years old. Magnetic resonance imaging of the brain revealed slight elongation of the superior cerebellar peduncles, mild hypoplasia of the cerebellar vermis, and the characteristic "molar tooth sign". Elevated transaminase and γ-glutamyl transpeptidase levels were detected at the age of 14 years old. Genetic analysis showed a compound heterozygous mutation in the RPGRIP1L gene (c.1290_1291delGT, c.3764T>C). Joubert syndrome is a clinically heterogeneous disorder and easy to be missed. Early diagnosis and standard treatment contribute to a better prognosis.

Objective To systematically evaluate the rehabilitation effect of immersive virtual reality technology for patients with peripheral vestibular dysfunction,and to provide theoretical basis and practical guidance for the design of efficient rehabilitation training programs.Methods PubMed,Embase,Cochrane Library,Web of Science,CINAHL,CNKI,Wanfang Database,VIP Database,and China Biomedical Literature Database were searched for randomized controlled trials on the intervention effect of immersive virtual reality technology in patients with peripheral vestibular dysfunction from inception to February 2025.RevMan5.4 software was used to perform meta-analysis of the literature that met the quality standards.Results A total of 10 papers with 491 patients with peripheral vestibular dysfunction were included.Meta-analysis showed that immersive virtual reality technology improved vertigo symptoms in patients with peripheral vestibular dysfunction compared with conventional vestibular rehabilitation care[SMD=-1.41,95％CI(-1.58,-0.70),P＜0.001],and subgroup analysis showed that the frequency of intervention was＜5 times/week[SMD=-1.31,95％CI=(-1.96,-0.66),P＜0.001],single intervention duration＜30 min[SMD=-1.45,95％CI=(-2.21,-0.70),P＜0.001],and intervention period≤7 weeks[SMD=-1.49,95％CI(-2.04,-0.94),P＜0.001]were more significant.Immersive virtual reality technology reduced the risk of falls[MD=4.66,95％CI(3.84,5.48),P＜0.001],and improved anxiety and depression[SMD=2.65,95％CI(1.98,3.33),P＜0.001].Conclusion Immer-sive virtual reality technology improves vertigo symptoms,reduces the risk of falls,and improves anxiety and depres-sion symptoms in patients with peripheral vestibular dysfunction,in which the intervention period of ≤7 weeks,＜5 training sessions per week,and each training session of＜30 min are better for improving vertigo symptoms in patients with peripheral vestibular dysfunction.

Objective:To assess the predictive performance of a nomogram model integrating endoscopic ultrasound（EUS）radiomic features with clinical variables for distinguishing early esophageal squamous cell carcinoma（ESCC）from non-cancerous lesions.Methods:Clinical and imaging data from 454 patients who underwent EUS for suspected esophageal malignancies were retrospectively collected in the First Affiliated Hospital of Nanjing Medical University（training cohort， n = 323）and Dongyang People's Hospital（external validation cohort， n = 131）from January 2020 to November 2023. Independent clinical predictors of early ESCC were identified using univariable and multivariable Logistic regression analyses to establish a clinical model. Pearson correlation and Least Absolute Shrinkage and Selection Operator（LASSO）algorithms were used to construct a radiomics model. A combined model integrating radiomics scores and clinical predictors was developed and visualized as a nomogram. The predictive performance of each model was assessed using the area under the ROC curve（AUC），and calibration curves were used to evaluate the model's fitting capability. Results:The training set and validation set indicated that there were statistically significant differences in age，smoking history and lesion location between the early ESCC group and the non-cancerous lesion change group（all P < 0.05）. According to univariate and multivariate Logistic regression analysis，age（ OR = 1.039，95% CI = 1.003–1.077， P = 0.036）and smoking（ OR = 2.358，95% CI = 1.270 - 4.376， P = 0.007）were identified as independent predictors and used to develop the clinical model，with AUCs of 0.608 and 0.694 in the training and validation cohorts，respectively. Fourteen optimal radiomic features were selected to construct the radiomics model，with AUCs of 0.881 and 0.807 in the training and validation cohorts，respectively. The combined nomogram model demonstrated superior predictive performance with AUCs of 0.893 and 0.830，sensitivities of 82.5% and 79.1%，and specificities of 82.2% and 81.3% in the training and validation cohorts，respectively. Conclusions:The EUS-based nomogram model demonstrates optimal predictive performance and can serve as a non-invasive tool to assist endoscopists in distinguishing early ESCC from non-cancerous lesions.

Objective To establish an expert consensus on in-hospital transfer safety management for patients undergoing invasive mechanical ventilation,providing guidance for clinical medical teams to conduct standardized transfers,reduce transfer risks,and ensure patient safety.Methods Through systematic searching,screening,evaluation,and summary of evidence related to in-hospital transfer safety management for patients on invasive mechanical ventilation,we extracted recommendations to form a preliminary draft of the expert consensus.From July to October 2024,totally 2 rounds of expert consultations,and 2 rounds of expert reviews were conducted,and the content was refined and finalized based on expert feedback.Results The final consensus encompasses 9 aspects,including transfer assessment and decision-making,pre-transfer preparation of medical staff,pre-transfer patient preparation,pre-transfer equipment preparation,pre-transfer medication preparation,monitoring and intervention during transfer,emergency events and management,transfer handover and documentation,and post-transfer management.Conclusion This consensus demonstrates strong practicality and operability,offering professional guidance for enhancing the safety of in-hospital transfers for patients on invasive mechanical ventilation.

This study analyzes the global patents development and clinical applications of photon counting CT (PCCT) technology in the past 20 years, including the trends of global patent application, the patent portfolio planning, key innovations and technological evolution of top medical device companies. The study utilizes patent retrievals in incoPat database, and then carries out patent navigation analysis. At the same time, with reports of clinical trials and research, the advantages and prospects of PCCT in clinical diagnosis are sorted out. With the rapid growth of the number of patent applications for PCCT, the technologies and clinical trials are becoming increasingly mature. It is expected that in the next few years, more PCCT products will be launched to the market, bringing a more accurate and safe diagnostic experience to radiologists and patients.
Patents as Topic ; Photons ; Tomography, X-Ray Computed ; Humans

Oral squamous cell carcinoma(OSCC)is a malignant lesion originating from the oral mucosal squamous epithelium,account-ing for over 80％of oral and maxillofacial malignancies.Key etiological factors include tobacco,alcohol abuse,and betel quid chewing.In China,its incidence has shown an overall upward trend,posing a significant threat to public health.OSCC exhibits high local invasive-ness,making early diagnosis critical for improving prognosis.Its clinical management requires close multidisciplinary collaboration among oral and maxillofacial surgery,head and neck surgery,radiation oncology,medical oncology,reconstructive surgery,radiology,patholo-gy,and nutritional support teams.Given the increasing disease burden of OSCC and rapid development of multidisciplinary collaborative models,an expert panel has formulated this integrated management consensus based on evidence-based medicine and extensive deliber-ation.Centered on the'Prevention-Screening-Diagnosis-Treatment-Rehabilitation'framework,the consensus provides comprehensive guidance for the entire disease course of OSCC patients,aiming to standardize clinical practice.

Objective:To systematically evaluate and integrate qualitative research from nurses on perceptions and feelings of elder self-neglect, with the aim of providing a reference for early identification, prevention, and intervention of elder self-neglect by nursing staff.Methods:Qualitative research of nurses' perceptions and feelings of elder self-neglect was systematically searched in the Cochrane Library, PubMed, Embase, Web of Science, China National Knowledge Infrastructure, WanFang Data, VIP, and China Biology Medicine disc by computer. The search period was from database establishment to March 31, 2024. The quality of the literature was evaluated according to the quality evaluation criteria for qualitative research of the Australia Joanna Briggs Institute Evidence-Based Health Care Center. The aggregate integration approach was used to integrate the findings of the study.Results:A total of eight papers were included to distill 30 findings, and similar findings were generalized and integrated to form 11 categories and synthesized into three integrated findings, including nurses' perception of elder self-neglect, manifestations of elder self-neglect from nurses' perspectives, and influencing factors of elder self-neglect from nurses' perspectives.Conclusions:Nurses should understand the manifestations and influencing factors of elder self-neglect, improve own professionalism, and help the elderly establish positive coping mechanisms to promote healthy aging.