BACKGROUND:Novel biomaterials not only provide the necessary mechanical support but also promote cell proliferation and differentiation,inducing bone regeneration,thereby improving therapeutic outcomes and offering new perspectives and methods for the development of bone regenerative technologies.OBJECTIVE:To visualize the research status and development prospects of biomaterials in the field of bone regeneration through bibliometric methods.METHODS:A total of 500 of the most influential papers on bone regeneration and biomaterials were selected from the Web of Science Core Collection database from inception to September 24,2024.VOSviewer and CiteSpace tools were used for in-depth bibliometric visualization analysis to reveal the research trends and core literature in this field.RESULTS AND CONCLUSION:Among the selected 500 papers,China and the United States were in a leading position in terms of the number of published papers and citation rates,with ChangJiang being the most prolific author and the journal Acta Biomaterialia publishing the most articles.Bone regeneration and material science is an interdisciplinary research field,covering various disciplines including materials science,biomedical engineering,cell biology,and molecular biology.Research on bone repair materials is shifting from traditional bioinert materials to bioactive materials,which not only provide mechanical support but also promote cell proliferation and differentiation,inducing bone regeneration.Synthetic bone repair materials are gradually replacing traditional materials,becoming the preferred choice for clinical bone graft surgery due to their abundant sources,adjustable physicochemical properties,and lower risks of immune rejection and disease transmission.Researchers are continuously improving the biocompatibility,biomimetic properties,osteoconductivity,and osteoinductivity of these materials to make them closer to natural bone.The frontiers are mainly focused on bioactive ceramics,3D printing,hydrogels,chitosan,hydroxyapatite,and other materials.New materials play a vital role in the field of bone regeneration.With the continuous advancement of materials science and technology,the application prospects of these new materials in the field of bone regeneration are very broad,and they are expected to provide more effective and personalized treatment options for bone defect treatment.

BACKGROUND:Novel biomaterials not only provide the necessary mechanical support but also promote cell proliferation and differentiation,inducing bone regeneration,thereby improving therapeutic outcomes and offering new perspectives and methods for the development of bone regenerative technologies.OBJECTIVE:To visualize the research status and development prospects of biomaterials in the field of bone regeneration through bibliometric methods.METHODS:A total of 500 of the most influential papers on bone regeneration and biomaterials were selected from the Web of Science Core Collection database from inception to September 24,2024.VOSviewer and CiteSpace tools were used for in-depth bibliometric visualization analysis to reveal the research trends and core literature in this field.RESULTS AND CONCLUSION:Among the selected 500 papers,China and the United States were in a leading position in terms of the number of published papers and citation rates,with ChangJiang being the most prolific author and the journal Acta Biomaterialia publishing the most articles.Bone regeneration and material science is an interdisciplinary research field,covering various disciplines including materials science,biomedical engineering,cell biology,and molecular biology.Research on bone repair materials is shifting from traditional bioinert materials to bioactive materials,which not only provide mechanical support but also promote cell proliferation and differentiation,inducing bone regeneration.Synthetic bone repair materials are gradually replacing traditional materials,becoming the preferred choice for clinical bone graft surgery due to their abundant sources,adjustable physicochemical properties,and lower risks of immune rejection and disease transmission.Researchers are continuously improving the biocompatibility,biomimetic properties,osteoconductivity,and osteoinductivity of these materials to make them closer to natural bone.The frontiers are mainly focused on bioactive ceramics,3D printing,hydrogels,chitosan,hydroxyapatite,and other materials.New materials play a vital role in the field of bone regeneration.With the continuous advancement of materials science and technology,the application prospects of these new materials in the field of bone regeneration are very broad,and they are expected to provide more effective and personalized treatment options for bone defect treatment.

Objective To systematically summarize the best evidence for the prevention of peripherally inserted central venous catheter(PICC)-associated infection,and provide evidence-based basis for healthcare workers to for-mulate management strategies for the prevention of PICC-associated infection.Methods According to the"6S"model of the evidence pyramid,relevant literatures on the prevention of PICC-related infection were systematically retrieved from top to bottom from UpToDate,websites of World Health Organization,Centers for Disease Control and Prevention,Infusion Nurses Society,Registered Nurses' Association of Ontario,New South Wales Agency for Clinical Innovation,National Health Commission of the People'Republic of China,Medlive,PubMed,Web of Sci-ence,Cochrane Library,Embase,China National Knowledge Infrastructure(CNKI),Wanfang,VIP,and SinoMed Database.The types of included literatures were clinical decision-making,guidelines,consensus,evidence summa-ries,and systematic reviews.The retrieval search window was from the establishment of the database to August 2024.Two researchers independently evaluated the quality of literatures and extracted evidence.Results A total of 19 papers were included in the analysis,including 2 clinical decisions,9 guidelines,6 expert consensuses,1 evi-dence summary,and 1 systematic review.Ultimately,28 pieces of evidence covering 6 topics including manage-ment,tools,catheterization,maintenance,infusion,and removal were formed.Conclusion This study summarizes the best evidence for preventing PICC-related infection,and recommends that clinical healthcare workers apply rele-vant evidence rationally and prudently,so as to reduce the incidence of PICC-related infections.

Objective:To propose a detection method for the fault about abnormal maximum value of conductivity of hemodialysis machine on the basis of signal characteristics of jump transition,so as to solve the problem of lower accuracy in detecting fault about abnormal maximum value of conductivity of hemodialysis machine under the influence of interference source coupling.Method:Using a conductivity detector collected the conduction signal of dialysate,then,the processed and converted electrical signals were amplified,and the noise and interference signals from the electrical signal were further removed.The digital filter was constructed by using transfer functions and variable equations,and the digital filter was used to process and convert the original signal as electrical signal.The collected signals about flow volume of blood,flow volume of dialysate,and pressure of the hemodialysis machine were superposed and fitted.The mean values and standard deviations of signal changes were obtained by combining instantaneous frequency of the basic frequency of signal characteristics of jump transition.The chaos superposition was avoided when the signal mode was decomposed.The fault parameters of the signals of jump transition were extracted.The difference calculation was used to calculate the rate of signal change,and calibrate the signals of jump transition,and realize reconstruction for signals.The power spectrum was used to fit the power spectral density of the signals of jump transition.The conductivity value of the hemodialysis machine was calculated.Compare with the set threshold value,the detection for the faults about abnormal maximum value of conductivity of hemodialysis machine was realized.Results:The experimental results showed that the signal of jump transition was recognized at 1.5 and 4.5 s through applied the proposed method,and the corresponding conductivity values were respectively 15.0 and 14.7 mS/cm.The equipment occurred fault about abnormal maximum value of conductivity when it exceeded the preset threshold value 14.5 mS/cm.The false negative rate of the formulated method was less than 30%in detecting the fault about abnormal maximum value of conductivity of hemodialysis machine.Conclusion:This method improves the accuracy of detecting the faults about abnormal maximum value of conductivity of hemodialysis machine,which can effectively maintain stable operation of hemodialysis machine.

Objective:To investigate lymph node metastasis(LNM)in the prostatic anterior fat pad(PAFP)of PCa patients after robot-assisted radical prostatectomy(RARP),and analyze the clinicopathological features and prognosis of LNM in the PAFP.Methods:We retrospectively analyzed the clinicopathological data on 1 003 cases of PCa treated by RARP in the Department of Urolo-gy of PLA General Hospital from January 2017 to December 2022.All the patients underwent routine removal of the PAFP during RARP and pathological examination,with the results of all the specimens examined and reported by pathologists.Based on the pres-ence and locations of LNM,we grouped the patients for statistical analysis,compared the clinicopathological features between different groups using the Student's t,Mann-Whitney U and Chi-square tests,and conducted survival analyses using the Kaplan-Meier and Log-rank methods and survival curves generated by Rstudio.Results:Lymph nodes were detected in 77(7.7％)of the 1 003 PAFP samples,and LNM in 11(14.3％)of the 77 cases,with a positive rate of 1.1％(11/1 003).Of the 11 positive cases,9 were found in the upgraded pathological N stage,and the other 2 complicated by pelvic LNM.The patients with postoperative pathological stage≥T3 constituted a significantly higher proportion in the PAFP LNM than in the non-PAFP LNM group(81.8％[9/11]vs 36.2％[359/992],P=0.005),and so did the cases with Gleason score ≥8(87.5％[7/8]vs 35.5％[279/786],P=0.009).No statisti-cally significant differences were observed in the clinicopathological features and biochemical recurrence-free survival between the pa-tients with PAFP LNM only and those with pelvic LNM only.Conclusion:The PAFP is a potential route to LNM,and patients with LNM in the PAFP are characterized by poor pathological features.There is no statistically significant difference in biochemical recur-rence-free survival between the patients with PAFP LNM only and those with pelvic LNM only.Routine removal of the PAFP and inde-pendent pathological examination of the specimen during RARP is of great clinical significance.

Objective:This study examines the impact of integrated healthcare and elderly care policy pilots on paid work among older adults.Methods:Using CHARLS panel data(2013-2020),we employed a difference-in-differences(DID)model to assess the policy effects.Results:The results indicate a 10.3%average increase in paid work among older adults in pilot areas.Mechanism analysis reveals that health status mediated this effect,while social security exhibited a suppression effect.The policy significantly increased participation in agricultural work,non-agricultural employment,and self-employed farming but reduced participation in hired agricultural labor.Heterogeneity analysis shows stronger effects in rural and central-western regions.Conclusion and Suggestions:The integrated care policy effectively promotes older adults'paid work engagement.We recommend strengthening service systems,implementing phased benefit improvements with work incentives,expanding pilot coverage in rural and central-western regions,and fostering health-labor policy coordination.

Objective:To investigate the diversity, temporal dynamics and influencing factors of serotypes of Salmonella among asymptomatic workers in Yulin, Guangxi Zhuang Autonomous Region, from 2013 to 2023, and provide reference for controlling the hidden transmission of Salmonella and for disease prevention among healthy populations. Methods:Anal rectal swabs were collected from asymptomatic workers in Yulin from 2013 to 2023 for the isolation and identification of Salmonella. The diversity of serotypes of Salmonella was evaluated by using Shannon index, while the isolation rates and composition ratio of different serotypes were compared with χ2 test. Spearman correlation analysis was used to evaluate the correlation of natural and social factors with serotype isolation rates for more than eight years, and stepwise multiple linear regression analysis were used to evaluate the impact of social factors on the serotype isolation rates for more than 8 years. Results:A total of 8 073 strains of Salmonella were isolated from 2013 to 2023, with an overall isolation rate of 18.88‰ During the 11-year period, 135 serotypes of Salmonella were identified, and the serotype diversity increased first and then decreased. The serotype with the highest isolation rate was Salmonella Typhimurium (3.04‰), followed by Salmonella Rissen (1.70‰), Salmonella Corvallis (1.41‰), Salmonella Agona (1.36‰), Salmonella Derby (1.22‰), and Salmonella London (1.02‰), accounting for 51.67% of the total Salmonella serotypes isolated. There was no significant trend in isolation rate of Salmonella over the years ( χ2=0.67, P=0.415); however, season significantly influenced the isolation rate, with lower rate being observed in winter and higher rate in summer ( χ2=615.91, P<0.001). The isolation rate of different serotypes of Salmonella was influenced by social and natural factors, showing a positive correlation with temperature, precipitation, and poultry consumption and production levels. Conclusions:The serotypes of Salmonella carried by asymptomatic workers were complex and diverse in Yulin, Guangxi Zhuang Autonomous Region, from 2013 to 2023, and the isolation rates of multi-serotypes increased from 2013 to 2023. Higher isolation rate was observed in summer and the isolation rate was widely influenced by natural factors such as temperature and precipitation, as well as social factors such as economic conditions. It is necessary to pay attention to the Salmonella serotype carriage in healthy population, and strengthen monitoring of both healthy individuals and pathogenic bacteria.

Objective:To analyze the mediating effect of cardiovascular health status (CVH) on the association between educational level and cardiovascular disease (CVD).Methods:The participants were from Shanghai Suburban Adult Cohort and Biobank, and questionnaire survey, physical examination, blood biochemistry were conducted from 2016 to 2020 for baseline information collection, and follow up was conducted until March 31, 2024 based on the medical data, CVD incidence data and death surveillance data at different levels. The associations of educational level, CVH and time to CVD onset of the study population were analyzed using the accelerated failure time model to analyze the mediating effects of CVH, health behaviors, and health factors in the association of educational level and time to CVD onset. The mediating effects of educational level, gender, and age moderated associations were also analyzed.Results:A total of 57 312 participants were included, with 2 780 new cases of CVD during a median follow-up of 6.71 (6.71-6.72) years, and a mean incidence density of 7.77/1 000 person-years (95% CI: 7.48/1 000 person-years -8.06/1 000 person-years). In total, the less educational level and the lower CVH, the higher CVD incidence density ( P<0.05). The results of accelerated failure time models showed that the time ratio for CVD-free survival was 1.15 (95% CI: 1.06-1.24) and 1.33 (95% CI: 1.10-1.60) for moderate and high educational level, respectively. The results of the mediation effect analysis showed that the association between moderate and high educational level and time to CVD onset was 29.60% (20.50%-50.00%) and 36.10% (23.80%-59.00%), 9.97% (5.07%-20.00%) and 13.84% (6.84%-29.00%), 15.24% (9.64%-27.00%) and 17.55% (11.58%-33.00%) of mediators mediated by CVH, health behaviors, health factors, respectively. Among them, there was an exposure-mediated interaction of educational level and a positive moderating effect of age. Conclusion:CVH, health behaviors and health factors had a proportionate mediating effect in the association between educational level and risk of CVD development.

Acute pancreatitis(AP)is a frequently encountered acute abdominal syndrome in clinical settings,and the integrated model of traditional Chinese and Western medicine(TCM-WM)has demonstrated notable advantages in the diagnosis and treatment of AP.To systematize and standardize clinical practices related to develop clinical pathway for integrated TCM-WM diagnosis and treatment of AP,which enhances the efficiency and quality of patient care.This pathway focuses on AP,a common acute and life-threatening disease within the digestive system,and outlines that the central pathological mechanism involves pancreatic injury and localized inflammation resulting from the abnormal activation of pancreatic enzymes.It has the characteristics of rapid onset,multiple causes,and complex manifestations.Severe cases can be life-threatening.At present,conventional treatments encompass a diverse range of modalities.Moreover,traditional Chinese medicine(TCM)holds distinct advantages in alleviating relevant symptoms,and TCM-WM is gaining increasing prevalence.To enhance the standardization and consistency of diagnostic and therapeutic practices,this clinical pathway clearly delineates the target patient population,which includes individuals diagnosed with abdominal pain disorder according to TCM and with AP in accordance with WM criteria,as well as the corresponding inclusion standards.The diagnostic framework integrates both TCM and WM guidelines,and further incorporates disease staging,severity grading,and syndrome differentiation to support a comprehensive and integrated diagnostic strategy.The treatment integrates approaches from both TCM and WM.Within the WM framework,interventions consist of basic supportive care,infection control,nutritional support,and the management of complications.In the context of TCM,the protocol includes syndrome differentiation and corresponding therapeutic strategies(Distinct syndrome patterns are identified and managed during the acute and convalescent phases),such as acupuncture and retention enema.This clinical pathway addresses multiple key components,including preventive strategies,post-treatment follow-up,criteria for evaluating therapeutic efficacy,admission and discharge,admission examination protocols,discharge criteria,and the rationale for deviations or withdrawal from the pathway.It is designed to provide a systematic and standardized reference framework for relevant clinical practices.

Objective:To propose a detection method for the fault about abnormal maximum value of conductivity of hemodialysis machine on the basis of signal characteristics of jump transition,so as to solve the problem of lower accuracy in detecting fault about abnormal maximum value of conductivity of hemodialysis machine under the influence of interference source coupling.Method:Using a conductivity detector collected the conduction signal of dialysate,then,the processed and converted electrical signals were amplified,and the noise and interference signals from the electrical signal were further removed.The digital filter was constructed by using transfer functions and variable equations,and the digital filter was used to process and convert the original signal as electrical signal.The collected signals about flow volume of blood,flow volume of dialysate,and pressure of the hemodialysis machine were superposed and fitted.The mean values and standard deviations of signal changes were obtained by combining instantaneous frequency of the basic frequency of signal characteristics of jump transition.The chaos superposition was avoided when the signal mode was decomposed.The fault parameters of the signals of jump transition were extracted.The difference calculation was used to calculate the rate of signal change,and calibrate the signals of jump transition,and realize reconstruction for signals.The power spectrum was used to fit the power spectral density of the signals of jump transition.The conductivity value of the hemodialysis machine was calculated.Compare with the set threshold value,the detection for the faults about abnormal maximum value of conductivity of hemodialysis machine was realized.Results:The experimental results showed that the signal of jump transition was recognized at 1.5 and 4.5 s through applied the proposed method,and the corresponding conductivity values were respectively 15.0 and 14.7 mS/cm.The equipment occurred fault about abnormal maximum value of conductivity when it exceeded the preset threshold value 14.5 mS/cm.The false negative rate of the formulated method was less than 30%in detecting the fault about abnormal maximum value of conductivity of hemodialysis machine.Conclusion:This method improves the accuracy of detecting the faults about abnormal maximum value of conductivity of hemodialysis machine,which can effectively maintain stable operation of hemodialysis machine.