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.

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.

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.

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.

The aims of developing rapid and living guidelines is to keep the recommendations in the guideline up-to-date. Compared with the conventional guideline, the rapid and living guideline can make better use of the existing evidence and apply and transform the evidence in a timely manner. This paper introduces the advantages and usage of rapid and living guidelines, the development process and existing challenges, and offers some insights, in order to provide reference for domestic organizations and scholars engaged in guideline development.

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.

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.