OBJECTIVE To systematically evaluate risk prediction models for chemotherapy-induced myelosuppression in pediatric patients with malignant tumors， evaluate their modeling strategies， key predictors， and predictive performance， and provide evidence-based references for clinical decision-making and research. METHODS A literature search was conducted across 11 databases， including CNKI， Wanfang Data， and PubMed， for relevant studies published before April 2025. Two reviewers independently performed literature screening and data extraction， and the risk of bias and applicability of the models were evaluated using the PROBAST tool. RESULTS Ultimately， seven studies were selected， of which four were English articles and three were Chinese articles， involving 12 risk prediction models. Although model discrimination was good （AUC 0.748-0.981）， only two models underwent external validation； furthermore， calibration was inadequately reported in three studies. PROBAST indicated that all models exhibited a high risk of bias， with major issues including a predominance of retrospective designs， inadequate sample representativeness， and lack of blinding. However， in terms of applicability， all models received favorable evaluations. In terms of modeling methods， most studies employed traditional logistic regression approaches to construct models， while only a minority introduced machine learning algorithms and conducted systematic comparisons among multiple algorithms. Models developed using machine learning methods significantly outperformed those constructed with traditional statistical methods. CONCLUSIONS The existing risk prediction models for myelosuppression after chemotherapy in children with malignant tumors demonstrate potential in clinical risk early warning. However， they generally suffer from design and methodological limitations， such as a predominance of retrospective single-center designs， few events per variable， opaque handling of missing data， and inconsistent reporting of model coefficients. Future studies should adopt prospective designs， incorporate machine learning with key clinical predictors， and follow TRIPOD reporting guidelines to enhance scientific rigor and clinical utility.

OBJECTIVES: Neuropathic pain (NP) is one of the most common forms of chronic pain, yet current treatment options are limited in effectiveness. Peripheral nerve injury activates spinal microglia, altering their inflammatory response and phagocytic functions, which contributes to the progression of NP. Most current research on NP focuses on microglial inflammation, with relatively little attention to their phagocytic function. Early growth response factor 2 (EGR2) has been shown to regulate microglial phagocytosis, but its specific role in NP remains unclear. This study aims to investigate how EGR2 modulates microglial phagocytosis and its involvement in NP, with the goal of identifying potential therapeutic targets. METHODS: Adult male Sprague-Dawley (SD) rats were used to establish a chronic constriction injury (CCI) model of the sciatic nerve. Pain behaviors were assessed on days 1, 3, 7, 10, and 14 post-surgery to confirm successful model induction. The temporal and spatial expression of EGR2 in the spinal cord was examined using real-time quantitative PCR (RT-qPCR), Western blotting, and immunofluorescence staining. Adeno-associated virus (AAV) was used to overexpress EGR2 in the spinal cord, and behavioral assessments were performed to evaluate the effects of EGR2 modulation of NP. CCI and lipopolysaccharide (LPS) models were established in animals and microglial cell lines, respectively, and changes in phagocytic activity were measured using RT-qPCR and fluorescent latex bead uptake assays. After confirming the involvement of microglial phagocytosis in NP, AAV was used to overexpress EGR2 in both in vivo and in vitro models, and phagocytic activity was further evaluated. Finally, eukaryotic transcriptome sequencing was conducted to screen differentially expressed mRNAs, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses to identify potential downstream effectors of EGR2. RESULTS: The CCI model successfully induced NP. Following CCI, EGR2 expression in the spinal cord was upregulated in parallel with NP development. Overexpression of EGR2 via spinal AAV injection enhanced microglial phagocytic activity and increased pain hypersensitivity in rats. Both animal and cellular models showed that CCI or LPS stimulation enhanced microglial phagocytosis, which was further amplified by EGR2 overexpression. Transcriptomic analysis of spinal cord tissues from CCI rats overexpressing EGR2 revealed upregulation of numerous genes associated with microglial phagocytosis and pain regulation. Among them, Lag3 emerged as a potential downstream target of EGR2. CONCLUSIONS EGR2 contributes to the maintenance of NP by enhancing microglial phagocytosis in the spinal dorsal horn.
Animals ; Microglia/metabolism* ; Phagocytosis/physiology* ; Rats, Sprague-Dawley ; Neuralgia/physiopathology* ; Early Growth Response Protein 2/metabolism* ; Male ; Rats ; Spinal Cord/metabolism* ; Sciatic Nerve/injuries*

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Cancer stands as a significant global public health challenge,and cancer screening serves as a pivotal strategy for reducing its mortality.Presently,only a limited number of cancer types have appropriate screening methods available.Traditional single-cancer screen-ing approaches are fraught with limitations,including invasiveness,low accuracy,and poor patient compliance.Multi-cancer early detection(MCED)leveraging liquid biopsy technology enables non-invasive and efficient early detection of multiple cancers by analyzing biomarkers such as cell-free DNA,cell-free RNA,proteins,and metabolites in blood and other bodily fluids.This innovative approach substantially broadens the spectrum of detectable cancers and enhances population coverage,showcasing immense potential for improving existing can-cer screening strategies.This expert consensus comprehensively reviews the progress of liquid biopsy-based MCED,biomarker selection and detection technologies,the criteria for cancer type selection,research design and clinical utility evaluation,as well as implementation path-ways.The overarching goal of this consensus is to offer scientific guidance for further research and the widespread adoption of MCED,thereby facilitating the continuous optimization of cancer screening strategies.

Objective To explore the diagnostic value of exhaled volatile organic compounds (VOCs) for cystic fibrosis (CF). Methods A systematic search was conducted in PubMed, EMbase, Web of Science, Cochrane Library, CNKI, Wanfang, VIP, and SinoMed databases up to August 7, 2024. Studies that met the inclusion criteria were selected for data extraction and quality assessment. The quality of included studies was assessed by the Newcastle-Ottawa Scale (NOS), and the risk of bias and applicability of included prediction model studies were assessed by the prediction model risk of bias assessment tool (PROBAST). Results A total of 10 studies were included, among which 5 studies only identified specific exhaled VOCs in CF patients, and another 5 developed 7 CF risk prediction models based on the identification of VOCs in CF. The included studies reported a total of 75 exhaled VOCs, most of which belonged to the categories of acylcarnitines, aldehydes, acids, and esters. Most models (n=6, 85.7%) only included exhaled VOCs as predictive factors, and only one model included factors other than VOCs, including forced expiratory flow at 75% of forced vital capacity (FEF75) and modified Medical Research Council scale for the assessment of dyspnea (mMRC). The accuracy of the models ranged from 77% to 100%, and the area under the receiver operating characteristic curve ranged from 0.771 to 0.988. None of the included studies provided information on the calibration of the models. The results of the Prediction Model Risk of Bias Assessment Tool (PROBAST) showed that the overall bias risk of all predictive model studies was high, and the overall applicability was unclear. Conclusion The exhaled VOCs reported in the included studies showed significant heterogeneity, and more research is needed to explore specific compounds for CF. In addition, risk prediction models based on exhaled VOCs have certain value in the diagnosis of CF, but the overall bias risk is relatively high and needs further optimization from aspects such as model construction and validation.

Cancer stands as a significant global public health challenge, and cancer screening serves as a pivotal strategy for reducing its mortality. Presently, only a limited number of cancer types have appropriate screening methods available. Traditional single-cancer screening approaches are fraught with limitations, including invasiveness, low accuracy, and poor patient compliance. Multi-cancer early detection (MCED) leveraging liquid biopsy technology enables non-invasive and efficient early detection of multiple cancers by analyzing biomarkers such as cell-free DNA, cell-free RNA, proteins, and metabolites in blood and other bodily fluids. This innovative approach substantially broadens the spectrum of detectable cancers and enhances population coverage, showcasing immense potential for improving existing cancer screening strategies. This expert consensus comprehensively reviews the progress of liquid biopsy-based MCED, biomarker selection and detection technologies, the criteria for cancer type selection, research design and clinical utility evaluation, as well as implementation pathways. The overarching goal of this consensus is to offer scientific guidance for further research and the widespread adoption of MCED, thereby facilitating the continuous optimization of cancer screening strategies.

Objective To investigate the effect of dexmedetomidine on the median effect concentration(EC50)of ropivacaine during sciatic nerve block combined with femoral nerve block in patients undergoing lower extremity surgery.Methods Patients with sciatic nerve block combined with femoral nerve block anesthesia who underwent lower extremity surgery from November 2021 to November 2023 were selected as the study objects.They were randomly divided into control group(0.9％saline),group D1(0.50 μg·kg-1 dexmedetomidine),group D2(0.75 μg·kg-1 dexmedetomidine)and group D3(1.00 μg·kg-1 dexmedetomidine).The stress response,serum pain mediators,vital signs and visual analogue scale(VAS)of patients at different time points during operation were analyzed by repeated measures ANOVA.ropivacaine EC50 was measured by sequential method,and the relationship between dexmedetomidine dose and ropivacaine EC50 was analyzed by Logistic regression.Results A total of 208 patients were include and each group was 52 patients.Compared with the same group before surgery,the stress response level of the 4 groups after surgery and 1 h after surgery was significantly decreased,and the serum pain mediators level was significantly increased(P＜0.05).Compared with the control group,the stress response and serum pain mediators levels in groups D1,D2 and D3 were more normal after surgery and 1 h after surgery,among them,group D3 was most close to the normal value(P＜0.05).There were no significant differences in blood oxygen saturation and bifrequency index of EEG among the four groups at each time point(P＞0.05).At T1 and T2,the heart rate(HR)of the control group was significantly higher than that of the group D2 and D3(P＜0.05).At T1,the control group had a significantly higher mean arterial pressure(MAP)than the other three groups,at T2,the control group had a significantly higher MAP than the group D2 and D3,and at T3,the control group had a significantly higher MAP than the group D3(P＜0.05).VAS scores in 4 groups were significantly lower after surgery and 1 h after surgery than before surgery(P＜0.05).The VAS score in group D3 was significantly lower than that in group D1 and D2(P＜0.05).Repeated measurement ANOVA showed that the effects of time on stress response and serum pain mediators were different with different anesthesia methods.The influence of time on HR,MAP and VAS scores varied with different anesthesia methods.Sequential assay results showed that the EC50 of ropivacaine in control group,group D1,group D2 and group D3 was 5.985,5.631,5.329 and 5.125 μg·mL-1,respectively.Logistic results showed that the dose of dexmedetomide was a protective factor for ropivacaine EC50 in sciatic nerve block combined with femoral nerve block in limb surgery patients(P＜0.05).Conclusion The ropivacaine EC50 can be significantly reduced by 1.00 μg·kg-1 dexmedetomidine.This is a protective factor for sciatic nerve block combined with femoral nerve block in patients undergoing lower limb surgery,and it can be applied clinically.

Objective:To analyze the research status of family management for children with cancer, explore research hotspots and development trends, so as to provide reference for subsequent research and clinical practice in family management for children with cancer.Methods:Literature related to family management for children with cancer was retrieved from the Web of Science Core Collection Database. The search period was from January 31, 2014 to December 31, 2024. CiteSpace 6.4.R1 was employed for bibliometric analysis.Results:A total of 647 articles were included. The annual publication volume showed an overall trend of first decreasing, then increasing, and fluctuating upward. The authors conducting the study on family management for children with cancer formed a distinct core team. The United States and the University of Pennsylvania were the top countries and institutions in terms of publications, with close collaboration and exchange among institutions. Research focuses on recurrence treatment, social support systems, and deepening precision interventions for Ewing sarcoma. The development of technology driven management tools, cross-cultural research, and the integration of policy and ethical studies represent a future trend.Conclusions:Research focuses on key areas such as recurrence treatment, social support systems, and precision interventions for Ewing sarcoma, emphasizing family management practices, building social support networks, and identifying therapeutic targets. In the future, technology driven management tools should be developed to achieve intelligence, cross-cultural research should be deepened, and a humanized management model should be constructed by combining policy and ethical research, in order to improve the efficiency and effectiveness of subsequent related research and clinical practice for family management for children with cancer.

Schistosomiasis cirrhosis (SAC), as the core pathological outcome of late-stage schistosomiasis, is an important challenge to global public health. Notably, there is still a significant disease burden, especially in the traditional endemic areas, such as the Yangtze River Basin in China. SAC has unique pathogenic characteristics, including insect-derived molecular-driven disease, chronic inflammation dominated by Th2 immunity, delayed pathogenicity, noticeable symptoms of portal hypertension, and an absence of significant correlation with liver cancer. Therefore, future research should focus on the determinants of individual susceptibility to SAC onset, the core mechanism of liver lesion progression post-pathogen clearance, time nodes, and intervention methods. Additionally, finding the high-risk individuals, analyzing of pathological mechanisms, and optimizing intervention strategies will help in promoting the development of clinical prevention and control and translational research.