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.

Healthy lifestyles and good living habits are effective strategies and important approaches to prevent chronic non-communicable diseases. With the development of evidence-based medicine, the evidence translation system has made some achievements in clinical practice. There is, however, no comprehensive, professional and efficient system for translating lifestyle evidence globally. Therefore, the Health Lifestyle Evidence (HLSE) Group of Lanzhou University constructed the HLSE Evidence Translation System (https://hlse.cn/), with the aim of synthesizing, evaluating, translating, and applying lifestyle-related evidence resources. This paper aims to introduce the functional module design of the evidence translation system, the system development process and testing, introduce the interface design and function demonstration, and explain the significance of constructing the HLSE.

To systematically construct a guideline to provide a methodological guide for researchers to develop patient decision aids.

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.

Integrating evidence from animal experiments is a critical component of biomedical research, providing essential prior information for in-depth investigations of disease mechanisms and new drug development. Animal models have played an irreplaceable role in simulating human diseases. However, the integration of evidence from animal experiments has faced numerous challenges, including insufficient emphasis, significant heterogeneity in study designs, high publication bias, and discrepancies with clinical research practices. This paper first identifies existing issues in the original research evidence from animal experiments, such as the selection and applicability of animal models, considerations in the design of experimental studies, and factors influencing the translation of animal experimental evidence. It then discusses various methods for integrating this evidence, including systematic review and meta-analysis, overview of systematic review/umbrella review, scoping review, and evidence mapping, while highlighting recent advancements in their application. Finally, the paper addresses the main challenges currently encountered in the integration of evidence from animal experiments and proposes targeted improvement strategies aimed at enhancing the efficiency of translating research outcomes into clinical practice and promoting the advancement of evidence-based medicine. By continuously optimizing original experimental research protocols and evidence integration practices, this work aims to establish a more efficient and scientific environment for the synthesis of evidence from animal experiments, ultimately contributing to clinical trials and human health.