Animal experimentation constitutes a critical link between basic research and clinical application, making its research quality and translational efficiency paramount. Although considerable progress has been made in standardizing operational procedures and ethical guidelines, the standardization of outcome evaluation systems has significantly lagged, creating a key bottleneck that constrains the quality of biomedical research and evidence synthesis. This deficiency is manifested by pronounced heterogeneity in outcome selection across similar studies, incomplete methodological reporting, and disparate criteria for result interpretation, which severely impairs the comparability of findings and the evidence integration. To cope with this challenge, this paper systematically introduces a mature methodological tool from clinical research–the core outcome set (COS)–and explores its construction strategies and application potential in the field of animal experimentation. Given the extensive diversity of animal experiments, a pragmatic strategy of "focusing on key areas, implementing phased pilots, and promoting gradual expansion" should be adopted. This approach prioritizes the development of domain-specific COS for disease areas characterized by high research volume, urgent translational needs, and well-established animal models. A multi-source integration pathway for COS development is detailed, comprising systematic literature searches, methodological appraisals, and expert consensus, with the feasibility of leveraging artificial intelligence (AI) to enhance efficiency also being examined. The development and promotion of such COS are not intended to restrict scientific exploration; rather, they aim to establish a new, tiered evaluation paradigm consisting of "core outcomes" (mandatory), "recommended outcomes" (encouraged), and "exploratory outcomes" (optional). This framework is expected not only to enhance research quality through standardization and to adhere to the "3R" principles but also to accelerate the accumulation of high-quality evidence. This, in turn, provides a solid foundation for higher-level evidence synthesis, ultimately facilitating the effective translation of basic research findings into clinical practice and providing an essential methodological framework for scientific advancement in relevant disciplines.

Climate change has evolved from an environmental issue into a global public health crisis, posing severe challenges to healthcare systems. Issues such as shifts in patient disease patterns, increased care demands for vulnerable populations, and insufficient resilience in nursing systems are becoming increasingly prominent. As the frontline of healthcare delivery, nursing practice directly confronts multiple health risks triggered by climate change. Under the Healthy China 2030 strategy, the role of nursing in addressing climate change cannot be overlooked. Therefore, this paper systematically reviewed the impacts of climate change on nursing practice and corresponding domestic and international strategies, and proposed recommendations for localized development pathways. First, strengthen climate health literacy in nursing education by integrating the climate change system into curricula and clinical practice. Second, promote nursing policy participation in global health governance to establish a climate-adaptive nursing policy system with Chinese characteristics. Finally, establish a multidisciplinary nursing research framework to foster integration among nursing science, climate science, public health, traditional Chinese medicine, and other relevant fields. This paper aims to provide theoretical foundations for constructing a climate-adaptive nursing system with Chinese characteristics, thereby advancing the coordinated development of Healthy China initiative and climate governance.

Work-related musculoskeletal disorders (WMSDs) represent a significant occupational health challenge among healthcare professionals globally, posing substantial threats to physical and mental well-being as well as work sustainability. Adopting preventive behaviors—including ergonomic postural adjustments, optimized work-rest scheduling, proper use of protective and assistive equipment, and regular physical activity—is essential for mitigating the risk of WMSDs. Guided by the social ecological model, the review synthesized current evidence on the determinants of WMSDs preventive behaviors across four levels: intrapersonal characteristics, work environment conditions, interpersonal support, and policy/institutional factors. The findings suggest that higher educational attainment, favorable health-related behavioral patterns, optimized ergonomic work environments, adoption of supportive collaborative systems, strong organizational support, as well as policy safeguards facilitate preventive behavior adoption. Conversely, limited prevention-related knowledge, low risk perception, insufficient physical activity, excessive workload, lack of appropriate protective equipment, inadequate ergonomic training, a prevailing culture of presenteeism, and inadequate policy implementation constitute significant barriers. Multi-dimensional intervention strategies targeting these determinants are warranted to enhance preventive behaviors, reduce the risk of WMSDs, and strengthen occupational health protection for healthcare professionals.

Depressed mood and sleep problems are prevalent among elderly people and tend to form a vicious cycle that seriously affects their quality of life and physical health. However， most of the existing studies rely on cross-sectional design， limiting the ability to clarify their predictive relationship and causal direction. ObjectiveTo explore the longitudinal association between nighttime sleep duration and depressed mood among the elderly in China over a 10-year period， providing scientific evidence for developing sleep-related interventions and depression prevention strategies tailored to the elderly. MethodsBased on nationally representative data from the China Health and Retirement Longitudinal Study （CHARLS） between 2011 and 2020， a sample of 5 954 elderly peolpe who had completed the baseline survey and at least one follow-up survey in 2011 was selected. Depressed mood was assessed using the 10-item Centre for Epidemiological Studies Depression Scale （CESD-10）. Basic information including nighttime sleep duration， was collected through a self-designed questionnaire. Cross-lagged path analysis （CLPA） model was employed to analyze the bidirectional relationship between nighttime sleep duration and depressed mood among the ederly. ResultsThe nighttime sleep duration in elderly people showed a negative correlation with CESD-10 scores at both baseline and the last follow-up （r=-0.299， -0.247， P<0.01）. The results of the CLPA model showed that the baseline CESD-10 scores negatively predicted nighttime sleep duration at the last follow-up （β=-0.100， P<0.01）， while baseline nighttime sleep duration also predicted CESD-10 scores at the last follow-up （β=-0.041， P<0.01）. ConclusionDepressed mood in elderly people exhibits a longitudinal association with nighttime sleep duration， demonstrating a bidirectional negative predictive relationship between the two factors.

With societal development and accelerated population aging in China, the demand for high-quality nursing services continues to grow, placing the nursing sector in a dual scenario of challenges and opportunities that necessitate parallel advancements in development and reform. Clinical practice guidelines (CPGs), as critical tools for enhancing nursing quality and standardizing evidence-based care, face multifaceted challengesincluding complexities in evidence integration, methodological and reporting irregularities, barriers to multidisciplinary collaboration, and suboptimal clinical adherence. However, emerging opportunities—such as optimized methodological frameworks, the application of implementation science, and the integration of digital and intelligent technologies—are creating new pathways for advancing high-quality nursing practice. This article elaborates on the necessity of developing rigorous nursing CPGs and analyzes the current opportunities and challenges in their formulation, dissemination, and implementation, aiming to provide theoretical insights for strengthening guideline-driven nursing care.

Objective To develop"a guideline for pressure injury risk assessment and prevention of neonates in NICU",and to provide guidance and references for clinical staff in the implementation of pressure injury assessment and prevention for neonates in NICU.Methods Based on the World Health 0rganization Guideline Development Manual and the results of systematic search for identified clinical problems,the GRADE method was used to evaluate the evidence and grade the recommendations,and the RIGHT report specifications were referred to for writing,and the guideline was developed and revised according to the results and recommendations of the expert review,so as to form the official guideline.Results The guideline included 2 aspects of pressure injury risk assessment and prevention,resulting in 12 clinical questions and 19 recommendations.Conclusion The guideline for risk assessment and prevention of pressure injury of neonates in NICU is an evidence-based guideline based on the best available evidence,clinical practice,and professional judgment,and it can provide a practical basis for scientific decision-making by clinical staff and managers.

Objective To develop"guideline for risk assessment and prevention of noninvasive ventilation related facial pressure injuries in adults"and to provide a reference for clinical medical staff to evaluate and prevent noninvasive ventilation related facial pressure injuries.Methods Referring to the"WHO Guideline Development Manual",clinical problems were formed through 3 rounds of Delphi expert consultation.The relevant recommendation opinions and evidence were screened,extracted,integrated and evaluated to form a draft consensus.Through a round of Delphi expert consultation and a round of expert consensus meeting,expert opinions were combined to modify and improve the content of each item to form a final draft of the expert consensus.Results Recommendations for the constructed guideline included 7 aspects of risk factors,high-risk sites,assessment tools,assessment timing and content,selection of non-invasive ventilation equipment,selection of dressings,and preventive measures,including 7 clinical questions and 15 recommendations.Conclusion The"guideline for risk assessment and prevention of noninvasive ventilation related facial pressure injuries in adults"was an evidence-based guideline based on the best evidence,Chinese clinical reality,and professional judgment,and it can provide practice bases for scientific clinical decisions making by clinical medical staff and managers.

This case report summarizes the experience from diagnosis and treatment of a patient with repeated high fever, hepatosplenomegaly and pancytopenia. Following exclusion of bacterial, viral, fungal infections and hematological diseases, metagenomic next-generation sequencing of the patient’s peripheral blood revealed Leishmania infantum infection, and rK39 rapid diagnostic test showed positive for anti-Leishmania antibody, while microscopic examination of bone marrow smears identified Leishmania amastigotes. Therefore, the case was definitively diagnosed as visceral leishmaniasis, and given anti-infective treatment with sodium antimony gluconate and hormone, hepatoprotection, elevation of white blood cell counts and personalized nursing. Then, the case was cured and discharged from hospital. Metagenomic next-generation sequencing is of great value in etiological detection of fever patients with unknown causes, which deserves widespread clinical applications.

In the era of evidence-based medicine, it is necessary to explore the unique advantages of traditional Chinese medicine (TCM) based on standardized technical methods and operating procedures in order to achieve the modernization and internationalization of TCM and benefit all humanity. The proposal of a three-pronged evidence system combining TCM theory, human experience and experimental evidence marks an important progress in the thinking method of the TCM evaluation system. The multi-evidence body integrated through appropriate methods provides a strong support for the clinical guideline recommendations and evidence-based health decision-making in TCM. Based on the current methodological progress of international evidence synthesis and grading, this paper proposes a novel approach for integrating multi-evidence in TCM: the MERGE framework. The aim is to establish a solid foundation for the development of this methodology and provide guidance for the advancement of evidence-based medicine framework in TCM.