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.

Animal experiments are essential tools in biomedical research, serving as a bridge between basic research and clinical trials. Systematic reviews and meta-analyses (SRs/MAs) of animal experiments are crucial methods for integrating evidence from animal experiment, which can facilitate the translation of findings into clinical research, reduce translational risks, and promote resource integration in basic research. With the continuous development of the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) methodology, its application in SRs/MAs of animal experiments has gained increasing attention. This article first outlines the principles and specific applications of the GRADE methodology in SRs/MAs of animal experiments, including qualitative descriptive systematic reviews, meta-analyses, and network meta-analyses. It then deeply analyzes the misuse of the GRADE methodology in practice, including incorrect evidence grading, improper classification of evidence, misapplication in qualitative systematic reviews, inconsistencies between the documentation of the upgrading and downgrading process and results, and inappropriate use for making recommendations. Furthermore, this article comprehensively discusses the factors influencing the grading of evidence certainty in SRs/MAs of animal experiments, including the impact of bias risk, indirectness, inconsistency, imprecision, and publication bias on evidence downgrading, as well as the role of large effect sizes and cross-species consistency in evidence upgrading. Finally, in response to the issues discussed, improvement strategies are proposed, including further research and optimization of the GRADE methodology for SRs/MAs of animal experiments, the development of reporting guidelines tailored to the characteristics of SRs/MAs in animal experiment research, and enhanced professional training for researchers in the GRADE methodology. This article aims to improve the quality of evidence in SRs/MAs of animal experiments, strengthen their reliability in clinical decision-making, and promote the more efficient translation of findings from animal experiment research into clinical practice.

Objective:Due to the large number of patents, wide distribution of technical fields, limited management resources, differences in the nature of different patent holders and so on, this study aims to find a fast and reliable evaluation mechanism for identifying the quality and transfer potential of patents supported by the fund.Methods:Through literature review, expert consultation, analysis and discussion of existing mechanisms and technical issues in the field of patent evaluation, we further determined patent evaluation mechanisms and their primary indicators with better applicability.Results:A drafting mechanism was proposed, that patents which had not yet found evidence of fatal evaluation or have abandoned evaluation can be temporarily given a reliable quality evaluation.Conclusions:Compared with high cost methods such as patent invalidation or infringement investigation, there are more economical and efficient negative evaluation indicators, which make different evaluation tool users to believe that patents do not have conversion value when negative evidence is found. It can also enable different evaluation tool users to temporarily give reliable evaluations of patent conversion prospects based on a hypothetical mechanism without discovering negative evidence temporarily. This evaluation mechanism is suitable for assessing patent quality and conversion potential, and is more scientific and efficient.

Objective:Due to the large number of patents, wide distribution of technical fields, limited management resources, differences in the nature of different patent holders and so on, this study aims to find a fast and reliable evaluation mechanism for identifying the quality and transfer potential of patents supported by the fund.Methods:Through literature review, expert consultation, analysis and discussion of existing mechanisms and technical issues in the field of patent evaluation, we further determined patent evaluation mechanisms and their primary indicators with better applicability.Results:A drafting mechanism was proposed, that patents which had not yet found evidence of fatal evaluation or have abandoned evaluation can be temporarily given a reliable quality evaluation.Conclusions:Compared with high cost methods such as patent invalidation or infringement investigation, there are more economical and efficient negative evaluation indicators, which make different evaluation tool users to believe that patents do not have conversion value when negative evidence is found. It can also enable different evaluation tool users to temporarily give reliable evaluations of patent conversion prospects based on a hypothetical mechanism without discovering negative evidence temporarily. This evaluation mechanism is suitable for assessing patent quality and conversion potential, and is more scientific and efficient.

Mechanical thrombectomy can improve the clinical outcome of patients with acute anterior circulation larger vessel occlusive stroke.However,a remarkable proportion of patients,even they have achieved a successful recanalization,still develop adverse outcomes,such as futile recanalization(FR).According to relevant literature reports,there are many factors that can affect futile recanalization.In this paper,a series of factors such as age,recanalization time,infarct volume,baseline severity,blood pressure that may affect futile recanalization of mechanical thrombectomy in patients with inanterior circulation large vessel occlusion will be comprehensively described and analyzed.(J Intervent Radiol,2024,33:321-324)

Objective:To establish a scientific and standardized evaluation index system of neonatal breastfeeding nursing quality under the state of mother-infant separation, in order to provide a tool for the detection and management of neonatal breastfeeding nursing quality under mother-infant separation, so as to promote the implementation of breastfeeding in China.Methods:A systematic and comprehensive search of Chinese and English databases was conducted to collect guidelines on neonatal breastfeeding in the state of mother-infant separation. Based on the "structure-process - result" three-dimensional quality structure model, the preliminary draft of evaluation indexes of neonatal breastfeeding nursing quality in the state of mother-infant separation was formed. The evaluation indexes of neonatal breastfeeding nursing quality in the state of mother-infant separation were constructed by Delphi expert correspondence method from July to October, 2023.Results:The effective recovery rates were 95.83% (23/24) and 91.30% (21/23), respectively. The expert authority coefficients were 0.895 and 0.870, respectively. The Kendall harmony coefficients of the whole index were 0.134 and 0.178 (both P<0.01), respectively. The final evaluation index system of neonatal breastfeeding nursing quality under the state of mother-infant separation includes 3 first-level indicators, 18 second-level indicators and 82 third-level indicators. Conclusions:The evaluation index system of neonatal breastfeeding nursing quality in the state of mother-infant separation established in this study is highly scientific and reliable, highlighting the characteristics of neonatal breastfeeding nursing work in the state of mother-infant separation, and can provide a reference for the evaluation of neonatal breastfeeding nursing quality in the state of mother-infant separation.

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.

Objective:To identify the development trajectories of self-neglect behavior in older adults and explore the associated influencing factors.Methods:A fixed cohort was constructed based on the data from three surveys of Chinese longitudinal healthy longevity survey (CLHLS) from 2011 to 2018. A total of eight variables from 4 dimensions including living environment, lifestyle, social interaction, and health care were selected to evaluate self-neglect. Group-based trajectory model was used to identify the development trajectory of self-neglect behavior in the older adults, and polynomial Logistic regression model was used to explore its influencing factors by Stata 16.1.Results:Finally, 2 754 older adults aged 60 and above were included.The development trajectory of self-neglect behavior in older adults, based on the group-based trajectory model, can be classified into stable-low group ( n=268, 9.7%), descending-moderate group ( n=2 224, 80.8%), and decreasing-high group ( n=262, 9.5%). Polynomial Logistic regression showed that, compared with stable-low group, living in rural areas ( B=1.116, OR=3.053, 95% CI= 2.278-4.091) and higher activities of daily living scores( B=0.137, OR=1.147, 95% CI=1.046-1.258) were the risk factors of descending-moderate group. Education levels with 1-6 years( B=-0.398, OR=0.672, 95% CI=0.469-0.963), >6 years( B=-1.072, OR=0.342, 95% CI=0.229-0.513), being married( B=-0.476, OR=0.621, 95% CI=0.444-0.870), self-reported good health( B=-0.808, OR=0.446, 95% CI= 0.213-0.932), improved health status( B=-0.704, OR=0.495, 95% CI=0.320-0.766), self-reported average economic status( B=-1.065, OR=0.345, 95% CI=0.148-0.802), self-reported good economic status( B=-1.634, OR=0.195, 95% CI=0.082-0.467), and a higher cognition score( B=-0.142, OR=0.867, 95% CI=0.798-0.942) served as protective factors of descending-moderate group. In addition to the above factors, being in the age group of 75-89 years( B=0.481, OR=1.617, 95% CI=1.057-2.473) was a risk factor for decreasing-high group compared to stable-low group. Conclusions:Three types of self-neglect behavior trajectories among older adults were identified in this study, suggesting that physical health and economy are the influencing factors of the development trajectory of self-neglect of the elderly.

Objective:To identify a novel reassortant H3N2 avian influenza virus using nanopore sequencing technology and analyze its genetic characteristics.Methods:The positive samples of the H3N2 avian influenza virus, collected from the external environment in the farmers' market of Guangzhou, were cultured in chicken embryos. The whole genome was sequenced by targeted amplification and nanopore sequencing technology. The genetic characteristics were analyzed using bioinformatics software.Results:The phylogenetic trees showed that each gene fragment of the strain belonged to the Eurasian evolutionary branch, and the host source was of avian origin. The HA gene was closely related to the origin of the H3N6 virus. The NA gene was closely related to the H3N2 avian influenza virus from 2017 to 2020. The PB1 gene was closely related to the H5N6 avian influenza virus in Guangxi Zhuang Autonomous Region and Fujian Province from 2016 to 2022 and was not related to the PB1 gene of the H5N6 avian influenza epidemic strain in Guangzhou. The other internal gene fragments had complex sources with significant genetic diversity. Molecular characteristics indicated that the strain exhibited the molecular characteristics of a typical low pathogenic avian influenza virus and tended to bind to the receptors of avian origin. On important protein sites related to biological characteristics, this strain had mutations of PB2-L89V, PB1-L473V, NP-A184K, M1-N30D/T215A, and NS1-P42S/N205S.Conclusions:This study identified a novel reassortant H3N2 avian influenza virus by nanopore sequencing, with the PB1 gene derived from the H5N6 avian influenza virus. The virus had a low ability to spread across species, but further exploration was needed to determine whether its pathogenicity to the host was affected.

Objective To summarize the current research status and cutting-edge trends of the off-label drug use in China,with a view to providing reference for researchers in this field.Methods CNKI and SinoMed databases were searched to collect research of the off-label drug use in China,and used Microsoft Excel 2021,the R software Bibliometric,and VOSviewer 1.6.18 to visualize the time and trend of publication,province,issuing authors and units,journals,keywords,and topic evolution of the included studies.Results 1 475 papers were included in the research.A total of 2 808 authors from 31 provinces,cities and regions had conducted relevant studies on over-the-counter medication,with an overall increasing trend in the number of publications.Among them,Guangdong province published the most studies related to this field,the Straits Pharmacy Journal and China Pharmacy published the most studies in this field.Proprietary Chinese medicines,antimicrobials,antitumor drugs,and other drugs were the research hotspots.In addition,the patients in pediatrics,outpatient emergency,obstetrics and gynecology,psychiatry and other departments as a special sick population,the clinical use of medication exists in the overspecification situation was also a future research trend.Conclusion At present,research in this field focuses more on OLDU for special populations,special diseases,special drugs,etc.In the future,researchers should conduct evidence-based evaluation of drugs on the basis of more high-quality evidence in order to seek the best evidence for guiding the clinical use of medication.At the same time,drug administration and medical institutions should also develop standardized management policies and systems to promote the rational and safe use of medication in healthcare institutions.