Objectives:We systematically reviewed the rational use of medicines using the World Health Organization/International Network of Rational Use of Drugs(WHO/INRUD)core drug use indicators.We also assessed the impact of ...Objectives:We systematically reviewed the rational use of medicines using the World Health Organization/International Network of Rational Use of Drugs(WHO/INRUD)core drug use indicators.We also assessed the impact of the coronavirus disease 2019 pandemic and the National Drug Policy(NDP)2005 on the rational use of medicines.Methods:Searches were conducted in PubMed,Scopus,and Google Scholar databases to identify studies that met our eligibility criteria.Assessment of the quality of studies was conducted using the Joanna Briggs Institute criteria for analytical studies.We reported and compared the median values of WHO/INRUD core drug use indicators with standard thresholds.Data were presented with median,interquartile range(IQR),and percentages.MannWhitney and Kruskal-Wallis tests were conducted to assess for statistical significance(P<0.05)across variables.Results:Thirty-one studies were included in the review,comprising 50,931 patient encounters across 268 health facilities.Within prescribing indicators,average number of medicines per patient encountered[3.4(IQR:3.0to 4.0)],percentage of medicines prescribed by generic[50.4%(IQR:47.4%to 65.0%)],percentage of encounters with antibiotic prescribed[40.2%(IQR:30.5%to 52.7%)],percentage of encounters with injection prescribed[18%(IQR:3.2%to 30.0%)]and the percentage of medicines prescribed from essential medicines list[82.0%(IQR:66.4%to 89.3%)].The median percentage of encounters with antibiotics(P=0.04)and the median percentage of medicines prescribed by generics(P=0.03)increased during and after the COVID-19 pandemic.Prescribing indicators were worse in primary and secondary health facilities,with significant differences in the median percentage of encounters with antibiotics(P=0.007)and injections(P=0.0002)across primary,secondary,and tertiary health facilities.There were improvements across all prescribing indicators after the implementation of NDP 2005.Conclusions:Core drug use indicators in Nigerian health facilities deviated from the WHO/INRUD thresholds,with noticeable improvement after the implementation of NDP 2005.More efforts are needed to improve rational drug use in Nigerian hospitals.展开更多
There are multiple types of risks involved in the service of long-span railway bridges.Classical methods are difficult to provide targeted alarm information according to different situations of load anomalies and stru...There are multiple types of risks involved in the service of long-span railway bridges.Classical methods are difficult to provide targeted alarm information according to different situations of load anomalies and structural anomalies.To accurately alarm different risks of long-span railway bridges by structural health monitoring systems,this paper proposes a cross-cooperative alarm method using principal and secondary indicators during high-wind periods.It provides the prior criterion for monitoring systems under special conditions,defining the principal and secondary indicators,alarm levels,and thresholds based on the relationship between dynamic equilibrium equations and multiple linear regression analysis.Analysis of one-year monitoring data from a longspan railway cable-stayed bridge shows that the 10-min average cross-bridge wind speed(excitation indicator)can be selected as the principal indicator,while lateral displacement(response indicator)can serve as the secondary indicator.The threshold levels of the secondary indicator prioritize the safety of bridge operation(mainly aiming at the safety of trains traversing bridges),with values significantly lower than structural safety thresholds.This approach enhances alarm timeliness and effectively distinguishes between load anomalies,structural anomalies,and equipment failures.Consequently,it improves alarm accuracy and provides timely decision support for bridge maintenance,train traversing,and emergency treatment.展开更多
This editorial delves into the potential of systemic immune indicators(SIIs)as early predictors of renal damage in children with newly diagnosed type 1 diabetes mellitus.By exploring the recent study published by Cao ...This editorial delves into the potential of systemic immune indicators(SIIs)as early predictors of renal damage in children with newly diagnosed type 1 diabetes mellitus.By exploring the recent study published by Cao et al,this article aims to highlight the importance of early detection and intervention.This study compre-hensively analyzes various SIIs,examining their correlation with renal compli-cations in newly diagnosed type 1 diabetic children.The findings reveal a sig-nificant association between immune system dysregulation and the onset of renal damage,suggesting that certain immune indicators can be early markers for predicting renal complications.This editorial emphasizes the clinical implications and applications of utilizing SIIs for early detection in pediatric diabetes care.It underscores the importance of innovative diagnostic approaches and illustrates real-world applications and outcomes.Additionally,it addresses the challenges and considerations in adopting these indicators and outlines future research directions to enhance diabetes management in children.展开更多
Wetland degradation is an escalating global challenge with profound impacts on animal diversity,particularly during successional processes.Birds,as highly mobile and environmentally sensitive organisms,serve as effect...Wetland degradation is an escalating global challenge with profound impacts on animal diversity,particularly during successional processes.Birds,as highly mobile and environmentally sensitive organisms,serve as effective indicators of ecological change.While previous studies have primarily focused on local community structures and species diversity during a specific season,there is a need to extend the research timeframe and explore broader spatial variations.Additionally,expanding from simple species diversity indices to more multidimensional diversity indices would provide a more comprehensive understanding of wetland health and resilience.To address these gaps,we investigated the effects of wetland degradation on bird diversity across taxonomic,phylogenetic,and functional dimensions in the Zoige Wetland,a plateau meadow wetland biodiversity hotspot.Surveys were conducted during both breeding(summer)and overwintering(winter)seasons across 20 transects in 5 sampling areas,representing 4 degradation levels(pristine,low,medium,and high).Our study recorded a total of 106 bird species from 32 families and 14 orders,revealing distinct seasonal patterns in bird community composition and diversity.Biodiversity indices were significantly higher in pristine and low-degraded wetlands,particularly benefiting waterfowl(Anseriformes,Ciconiiformes)and wading birds(Charadriiformes)in winter,when these areas provided superior food resources and habitat conditions.In contrast,medium and highly degraded wetlands supported increased numbers of terrestrial birds(Passeriformes)and raptors(Accipitriformes,Falconiformes).Seasonal differences in taxonomic,phylogenetic,and functional diversity indices highlighted the contrasting ecological roles of wetlands during breeding and overwintering periods.Furthermore,indicator species analysis revealed key species associated with specific degradation levels and seasons,providing valuable insights into wetland health.This study underscores the importance of spatiotemporal dynamics in understanding avian responses to wetland degradation.By linking seasonal patterns of bird diversity to habitat conditions,our findings contribute to conservation efforts and provide a framework for assessing wetland degradation and its ecological impacts.展开更多
Objective To study a way to establish a drug inspection evaluation system in China.Methods Through literature research,behavioral event interviews,Delphi expert interviews,and other methods,the theory of“threedimensi...Objective To study a way to establish a drug inspection evaluation system in China.Methods Through literature research,behavioral event interviews,Delphi expert interviews,and other methods,the theory of“threedimensional quality structure model”was used to extract,screen,and construct a set of evaluation indicator system for drug inspection,including 3 first-level indicators,11 second-level indicators,and 47 third-level indicators.Results and Conclusion An effective management tool to evaluate the quality of drug inspection has not yet been formed in China.According to the requirements of laws,regulations,and departmental rules,combined with the mature drug inspection mechanism of international drug regulatory agencies or organizations and the international quality management theory,some management tools are put forward to improve the quality system of drug supervision.展开更多
Healthcare waste management (HCWM) is an important aspect of healthcare delivery globally because of its hazardous and infectious components that have potential for adverse health and environmental impacts. The paper ...Healthcare waste management (HCWM) is an important aspect of healthcare delivery globally because of its hazardous and infectious components that have potential for adverse health and environmental impacts. The paper introduces a set of indicators for assessing HCWM systems in hospitals. These indicators are: HCWM policies and standard operating procedures, management and oversight, logistics and budget support, training and occupational health and safety, and treatment, disposal and waste treatment equipment housing. By plotting a mark on a continuum which is defined as good and poor on the extremes and is connected with all other marks in a spoke arrangement, it’s possible to describe a baseline for HCWM in any specific hospital. This baseline can be used to improve awareness of the actors and policy-makers, compare the same hospital at a different point in time, to compare observations by different evaluators and to track improvements. Results suggest that in Kenya, the application of such indicators is useful for evaluating which priorities should be addressed to improve outcomes in HCWM systems. Systematic sampling technique was used to identify and collect data by use of observational checklist, interviews, visual verification and review of documents and a HCWM assessment tool. The objective is to suggest an integrated management tool as a method to identify prevailing problems with a HCWM system. The method can be replicated in other contexts worldwide, with a focus on the developing world. The integrated indicators focus on management of HCW and not its potential impact on human health and environment, an area recognized to be critical for future research.展开更多
Succinylcholine(SC)is a widely used depolarizing muscle relaxant,but improper use can lead to arrhythmias and,in severe cases,pose a life-threatening risk.Additionally,some criminals exploit SC for illicit activities....Succinylcholine(SC)is a widely used depolarizing muscle relaxant,but improper use can lead to arrhythmias and,in severe cases,pose a life-threatening risk.Additionally,some criminals exploit SC for illicit activities.Therefore,rapid SC detection is paramount for clinical practice and public safety.Currently,however,limited methods are available for the rapid detection of SC.A fluorescent indicator displacement assay sensor based on molecular recognition of an amide naphthotube was developed.This sensor enabled the rapid fluorescent detection of SC through competitive binding between SC and methylene blue with the amide naphthotube.The sensor exhibited exceptional sensitivity with a detection limit as low as 1.1μmol/L and a detection range of 1.1~60μmol/L,coupled with outstanding selectivity and robust stability.Furthermore,this sensor accurately determined SC levels in biological samples such as serum.In summary,this research provides a new solution for the rapid and accurate sensing of SC in complex matrices and offers new insights for the swift identification and detection of toxins.展开更多
In order to accurately forecast the main engine fuel consumption and reduce the Energy Efficiency Operational Indicator(EEOI)of merchant ships in polar ice areas,the energy transfer relationship between ship-machine-p...In order to accurately forecast the main engine fuel consumption and reduce the Energy Efficiency Operational Indicator(EEOI)of merchant ships in polar ice areas,the energy transfer relationship between ship-machine-propeller is studied by analyzing the complex force situation during ship navigation and building a MATLAB/Simulink simulation platform based on multi-environmental resistance,propeller efficiency,main engine power,fuel consumption,fuel consumption rate and EEOI calculation module.Considering the environmental factors of wind,wave and ice,the route is divided into sections,the calculation of main engine power,main engine fuel consumption and EEOI for each section is completed,and the speed design is optimized based on the simulation model for each section.Under the requirements of the voyage plan,the optimization results show that the energy efficiency operation index of the whole route is reduced by 3.114%and the fuel consumption is reduced by 9.17 t.展开更多
This study provides a systematic investigation into the influence of feature selection methods on cryptocurrency price forecasting models employing technical indicators.In this work,over 130 technical indicators—cove...This study provides a systematic investigation into the influence of feature selection methods on cryptocurrency price forecasting models employing technical indicators.In this work,over 130 technical indicators—covering momentum,volatility,volume,and trend-related technical indicators—are subjected to three distinct feature selection approaches.Specifically,mutual information(MI),recursive feature elimination(RFE),and random forest importance(RFI).By extracting an optimal set of 20 predictors,the proposed framework aims to mitigate redundancy and overfitting while enhancing interpretability.These feature subsets are integrated into support vector regression(SVR),Huber regressors,and k-nearest neighbors(KNN)models to forecast the prices of three leading cryptocurrencies—Bitcoin(BTC/USDT),Ethereum(ETH/USDT),and Binance Coin(BNB/USDT)—across horizons ranging from 1 to 20 days.Model evaluation employs the coefficient of determination(R2)and the root mean squared logarithmic error(RMSLE),alongside a walk-forward validation scheme to approximate real-world trading contexts.Empirical results indicate that incorporating momentum and volatility measures substantially improves predictive accuracy,with particularly pronounced effects observed at longer forecast windows.Moreover,indicators related to volume and trend provide incremental benefits in select market conditions.Notably,an 80%–85% reduction in the original feature set frequently maintains or enhances model performance relative to the complete indicator set.These findings highlight the critical role of targeted feature selection in addressing high-dimensional financial data challenges while preserving model robustness.This research advances the field of cryptocurrency forecasting by offering a rigorous comparison of feature selection methods and their effects on multiple digital assets and prediction horizons.The outcomes highlight the importance of dimension-reduction strategies in developing more efficient and resilient forecasting algorithms.Future efforts should incorporate high-frequency data and explore alternative selection techniques to further refine predictive accuracy in this highly volatile domain.展开更多
Under the National Innovation-Driven Development Strategy,establishing a scientifically sound evaluation system for normal university students’innovation and entrepreneurship capabilities serves as a crucial foundati...Under the National Innovation-Driven Development Strategy,establishing a scientifically sound evaluation system for normal university students’innovation and entrepreneurship capabilities serves as a crucial foundation for optimizing innovation education models and enhancing teacher candidates’comprehensive competencies.Based on existing indicator frameworks,we designed a questionnaire and applied exploratory factor analysis(EFA)to screen indicators,reduce dimensionality,and analyze weighting.This process identified key metrics for evaluating pedagogical students’innovation capacities,ultimately constructing a targeted assessment system for normal university students.The study provides theoretical support for cultivating teacher trainees’innovative capabilities while contributing to the national innovation strategy implementation.展开更多
BACKGROUND Nutritional and inflammatory indicators are crucial in assessing the nutritional health and immune function of patients with cancer,which are factors closely associated with the diagnosis and treatment of c...BACKGROUND Nutritional and inflammatory indicators are crucial in assessing the nutritional health and immune function of patients with cancer,which are factors closely associated with the diagnosis and treatment of colorectal cancer(CRC).AIM To explore the relationship between nutritional and inflammatory indicators and microsatellite stability(MSS)status in CRC.METHODS The clinical data of 56 patients who underwent surgical treatment for CRC were collected.Furthermore,the expressions of nutritional(levels of serum albumin,triglycerides,serum cholesterol,and body mass index)and inflammatory response indicators(absolute neutrophil count,absolute lymphocyte count,absolute monocyte count,neutrophil-to-lymphocyte ratio,and lymphocyte-to-monocyte ratio)as well as their correlation with microsatellite instability(MSI)status were investigated in patients with CRC.RESULTS Compared to the patients with MSS tumors,those with MSI tumors demonstrated significantly lower levels of two nutritional indicators,namely serum albumin and body mass index(P<0.05).Moreover,patients in the MSI group demonstrated significantly lower absolute lymphocyte counts and higher neutrophil-to-lymphocyte ratio than those in the MSS group(P<0.05),indicating pronounced differences in inflammatory responses and immune states between the two groups.CONCLUSION Certain nutritional and inflammatory indicators exhibit significant differences among patients with MSI and MSS CRC,highlighting their potential role in the clinical treatment and health management of this specific population.展开更多
Gastric cancer remains a major cause of cancer-related mortality worldwide,with immunotherapy emerging as a promising treatment strategy.Neoadjuvant im-mune checkpoint therapy has shown potential in enhancing antitumo...Gastric cancer remains a major cause of cancer-related mortality worldwide,with immunotherapy emerging as a promising treatment strategy.Neoadjuvant im-mune checkpoint therapy has shown potential in enhancing antitumor responses and improving surgical outcomes.However,its effects on systemic coagulation and thrombotic risk remain poorly understood.This study aims to investigate the relationship between neoadjuvant immune checkpoint therapy and coagulation dynamics in patients with gastric cancer,exploring potential mechanisms that may contribute to a hypercoagulable state.By assessing coagulation markers,thrombotic events,and inflammatory responses,this research seeks to provide insights into the interplay between immune modulation and hemostatic alte-rations.A better understanding of these interactions may help optimize patient management and guide thromboprophylaxis strategies in this clinical setting.展开更多
Hydrogen is emerging as a promising alternative to fossil fuels in the transportation sector.This study evaluated the feasibility of estab-lishing hydrogen refueling stations in five cities in Oman,Duqm,Haima,Sur,Al B...Hydrogen is emerging as a promising alternative to fossil fuels in the transportation sector.This study evaluated the feasibility of estab-lishing hydrogen refueling stations in five cities in Oman,Duqm,Haima,Sur,Al Buraymi,and Salalah,using Hybrid Optimization of Multiple Electric Renewables(HOMER)software.Three hybrid energy systems,photovoltaic-wind turbine-battery,photovoltaic-battery,and wind turbine-battery were analyzed for each city.Results indicated that Duqm offers the lowest net present cost(NPC),levelized cost of energy,and levelized cost of hydrogen,making it the most cost-effective location.Additionally,Sensitivity analysis showed that as the life of electrolyzer increases during operation,the initial capital expenditure is distributed over a longer operational period,leading to a reduction in the NPC.More so,renewable energy systems produced no emissions which supports Oman’s mission target.This comprehensive analysis confirms the feasibility of establishing a hydrogen refueling station in Duqm,Oman,and highlights advanced optimization techniques’superior capability in designing cost-effective,sustainable energy systems.展开更多
Gastric cancer(GC),the fifth most common malignancy worldwide,poses a substantial challenge in clinical oncology,particularly in its advanced stages.Despite advancements in immunotherapy,patient prognosis remains poor...Gastric cancer(GC),the fifth most common malignancy worldwide,poses a substantial challenge in clinical oncology,particularly in its advanced stages.Despite advancements in immunotherapy,patient prognosis remains poor,underscoring the need for reliable prognostic tools to refine treatment strategies.A study by Yao et al explores the role of the triglyceride-glucose(TyG)index as a prognostic marker for advanced GC patients receiving immunotherapy combined with chemotherapy.The results of the study demonstrate that the TyG index correlates with improved survival outcomes,including better progression-free survival and overall survival.This editorial critically evaluates the significance of these findings,discusses their implications for future research,and highlights innovative directions that could drive further breakthroughs in the application of the TyG index to cancer therapy.This editorial also highlights the potential of TyG in advancing precision oncology and advocates for global validation and mechanistic investigations to further solidify its clinical utility.Future research should focus on validating the TyG index across various malignancies,exploring its potential to influence immunotherapy through metabolic interventions,and developing multi-biomarker models that integrate TyG with immune and genomic profiles.展开更多
Background: The irrational use of medicines remains a key health problem in many developing countries. The overuse of antibiotics is a key driver of antimicrobial resistance (AMR). This study surveyed antibiotic use a...Background: The irrational use of medicines remains a key health problem in many developing countries. The overuse of antibiotics is a key driver of antimicrobial resistance (AMR). This study surveyed antibiotic use and adherence to the World Health Organization (WHO) prescribing indicators at the Request Muntanga Hospital in the Kalomo District of Southern Province, Zambia. Materials and Methods: This cross-sectional study was conducted from July 2023 to September 2023 at Request Muntanga Hospital in Zambia and reviewed 600 medical record prescriptions which were issued from July 1, 2022 to June 30, 2023 using the WHO prescribing indicators. The collected data were analyzed using Statistical Package for Social Sciences version 23.0. Results: From the 600 prescriptions sampled, 1246 medicines were prescribed, with antibiotics making up 86.7% of the encounters. Additionally, the average number of drugs prescribed per encounter was 2.1 and the prevalence of polypharmacy was 61.3%. Further, 17.8% of medicines were prescribed as injectables. Furthermore, 76.7% of the drugs were prescribed from the Zambia Essential Medicines List and 38.9% by generic names. Conclusions: This study found a high use of antibiotics and deviations from the WHO/International Network of Rational Use of Drugs (INRUD) core prescribing indicators at the Request Muntanga Hospital indicating non-adherence to the prescribing indicators. There is a need to promote adherence to the WHO/INRUD core prescribing indicators to promote the rational use of antibiotics and prevent the emergence and spread of AMR.展开更多
Purpose-The indoor vibration compaction test(IVCT)was a key step in controlling the compaction quality for high-speed railway graded aggregate(HRGA),which currently had a research gap on the assessment indicators and ...Purpose-The indoor vibration compaction test(IVCT)was a key step in controlling the compaction quality for high-speed railway graded aggregate(HRGA),which currently had a research gap on the assessment indicators and compaction parameters.Design/methodology/approach-To address these issues,a novel multi-indicator IVCT method was proposed,including physical indicator dry density(ρd)and mechanical indicators dynamic stiffness(Krb)and bearing capacity coefficient(K20).Then,a series of IVCTs on HRGA under different compaction parameters were conducted with an improved vibration compactor,which could monitor the physical-mechanical indicators in real-time.Finally,the optimal vibration compaction parameters,including the moisture content(ω),the diameter-to-maximum particle size ratio(Rd),the thickness-to-maximum particle size ratio(Rh),the vibration frequency(f),the vibration mass(Mc)and the eccentric distance(re),were determined based on the evolution characteristics for the physical-mechanical indicators during compaction.Findings-All results indicated that theρd gradually increased and then stabilized,and the Krb initially increased and then decreased.Moreover,the inflection time of the Krb was present as the optimal compaction time(Tlp)during compaction.Additionally,optimal compaction was achieved whenωwas the water-holding content after mud pumping,Rd was 3.4,Rh was 3.5,f was the resonance frequency,and the ratio between the excitation force and the Mc was 1.8.Originality/value-The findings of this paper were significant for the quality control of HRGA compaction.展开更多
Reducing raw materials consumption(RMC)in electric arc furnace(EAF)steelmaking process is beneficial to the reduction in resource and energy consumption.The conventional indicator of evaluating RMC only focuses on EAF...Reducing raw materials consumption(RMC)in electric arc furnace(EAF)steelmaking process is beneficial to the reduction in resource and energy consumption.The conventional indicator of evaluating RMC only focuses on EAF inputs and outputs,neglecting the associations between smelting operations and RMC.Traditional methods of reducing RMC rely on manual experience and lack a standard operation guidance.A method based on association rules mining and metallurgical mechanism(ARM-MM)was proposed.ARM-MM proposed an improved evaluation indicator of RMC and the indicator independently showed the associations between smelting operations and RMC.On the basis,1265 heats of real EAF data were used to obtain the operation guidance for RMC reduction.According to the ratio of hot metal(HM)in charge metals,data were divided into all dataset,low HM ratio dataset,medium HM ratio dataset,and high HM ratio dataset.ARM algorithm was used in each dataset to obtain specific operation guidance.The real average RMC under all dataset,medium HM ratio dataset,and high HM ratio dataset was reduced by 279,486,and 252 kg/heat,respectively,when obtained operation guidance was applied.展开更多
Rack-level loop thermosyphons have been widely adopted as a solution to data centers’growing energy demands.While numerous studies have highlighted the heat transfer performance and energy-saving benefits of this sys...Rack-level loop thermosyphons have been widely adopted as a solution to data centers’growing energy demands.While numerous studies have highlighted the heat transfer performance and energy-saving benefits of this system,its economic feasibility,water usage effectiveness(WUE),and carbon usage effectiveness(CUE)remain underexplored.This study introduces a comprehensive evaluation index designed to assess the applicability of the rack-level loop thermosyphon system across various computing hub nodes.The air wet bulb temperature Ta,w was identified as the most significant factor influencing the variability in the combination of PUE,CUE,and WUE values.The results indicate that the rack-level loop thermosyphon system achieves the highest score in Lanzhou(94.485)and the lowest in Beijing(89.261)based on the comprehensive evaluation index.The overall ranking of cities according to the comprehensive evaluation score is as follows:Gansu hub(Lanzhou)>Inner Mongolia hub(Hohhot)>Ningxia hub(Yinchuan)>Yangtze River Delta hub(Shanghai)>Chengdu Chongqing hub(Chongqing)>Guangdong-Hong Kong-Macao Greater Bay Area hub(Guangzhou)>Guizhou hub(Guiyang)>Beijing-Tianjin-Hebei hub(Beijing).Furthermore,Hohhot,Lanzhou,and Yinchuan consistently rank among the top three cities for comprehensive scores across all load rates,while Guiyang(at a 25%load rate),Guangzhou(at a 50%load rate),and Beijing(at 75%and 100%load rates)exhibited the lowest comprehensive scores.展开更多
Colonoscopy remains the cornerstone of colorectal cancer prevention and survei-llance,but the procedure’s effectiveness is entirely dependent upon various quali-ty indicators,such as detection rates,withdrawal time,a...Colonoscopy remains the cornerstone of colorectal cancer prevention and survei-llance,but the procedure’s effectiveness is entirely dependent upon various quali-ty indicators,such as detection rates,withdrawal time,adequate bowel prepara-tion,cecal intubation rate and patient outcomes.Despite progress in endoscopic techniques,challenges persist in maintaining endoscopists’consistent perfor-mance and improving quality metrics.Artificial intelligence(AI)has emerged as a“game changer”in the gastroenterology field,offering the opportunity to signifi-cantly increase colonoscopy quality.This review highlights the role of AI-driven technologies such as deep learning,computer vision,and real-time feedback me-chanisms in optimizing key quality indicators of colonoscopy.The implementa-tion of AI in colonoscopy may reduce human error,improve endoscopist’s consis-tency in real-time decision making,ensuring higher reliability and standardiza-tion during the procedure.Furthermore,AI has the potential to reshape how en-doscopists perform and evaluate procedures,while improved lesion characte-rization may enable more precise selection for resection,reducing morbidity and the incidence of interval cancers.The review also addresses challenges and limi-tations in AI integration,including cost-effectiveness and its impact on endosco-pist training.AI holds substantial promise for advancing colonoscopy quality and elevating overall patient care,paving the way for more effective and personalized medical approaches.展开更多
Objectives:This study aimed to evaluate the measurement properties and methodological quality of instruments developed to evaluate the quality of online health information.Methods:In this study,a systematic search was...Objectives:This study aimed to evaluate the measurement properties and methodological quality of instruments developed to evaluate the quality of online health information.Methods:In this study,a systematic search was conducted across a range of databases,including the China National Knowledge Infrastructure(CNKI),Wanfang,China Science and Technology Journal(VIP),SinoMed,PubMed,Web of Science,CINAHL,Embase,the Cochrane Library,PsycINFO,and Scopus.The search period spanned from the inception of the databases to October 2023.Two researchers independently conducted the literature screening and data extraction.The methodological quality of the included studies was assessed using the Consensus-based Standards for the Selection of Health Measurement Instruments(COSMIN)Risk of Bias checklist.The measurement properties were evaluated using the coSMIN criteria.The modified Grading,Recommendations,Assessment,Development,and Evaluation(GRADE)system was used to determine the quality grade.Results:A total of 18 studies were included,and the measurement properties of 17 scales were assessed.Fifteen scales had content validity,three had structural validity,six had internal consistency,two had test-retest reliability,nine had interater reliability,one had measurement error,six instruments had criterion validity,and three scales had hypotheses testing for construct validity;however,the evaluation of their methodological quality and measurement properties revealed deficiencies.Of these 17 scales,15 were assigned a Level B recommendation,and two received a Level C recommendation.Conclusions:The Health Information Website Evaluation Tool(HIWET)can be temporarily used to evaluate the quality of health information on websites.The Patient Education Materials Assessment Tool(PEMAT)can temporarily assess the quality of video-based health information.However,the effectiveness of both tools needs to be further verified.展开更多
文摘Objectives:We systematically reviewed the rational use of medicines using the World Health Organization/International Network of Rational Use of Drugs(WHO/INRUD)core drug use indicators.We also assessed the impact of the coronavirus disease 2019 pandemic and the National Drug Policy(NDP)2005 on the rational use of medicines.Methods:Searches were conducted in PubMed,Scopus,and Google Scholar databases to identify studies that met our eligibility criteria.Assessment of the quality of studies was conducted using the Joanna Briggs Institute criteria for analytical studies.We reported and compared the median values of WHO/INRUD core drug use indicators with standard thresholds.Data were presented with median,interquartile range(IQR),and percentages.MannWhitney and Kruskal-Wallis tests were conducted to assess for statistical significance(P<0.05)across variables.Results:Thirty-one studies were included in the review,comprising 50,931 patient encounters across 268 health facilities.Within prescribing indicators,average number of medicines per patient encountered[3.4(IQR:3.0to 4.0)],percentage of medicines prescribed by generic[50.4%(IQR:47.4%to 65.0%)],percentage of encounters with antibiotic prescribed[40.2%(IQR:30.5%to 52.7%)],percentage of encounters with injection prescribed[18%(IQR:3.2%to 30.0%)]and the percentage of medicines prescribed from essential medicines list[82.0%(IQR:66.4%to 89.3%)].The median percentage of encounters with antibiotics(P=0.04)and the median percentage of medicines prescribed by generics(P=0.03)increased during and after the COVID-19 pandemic.Prescribing indicators were worse in primary and secondary health facilities,with significant differences in the median percentage of encounters with antibiotics(P=0.007)and injections(P=0.0002)across primary,secondary,and tertiary health facilities.There were improvements across all prescribing indicators after the implementation of NDP 2005.Conclusions:Core drug use indicators in Nigerian health facilities deviated from the WHO/INRUD thresholds,with noticeable improvement after the implementation of NDP 2005.More efforts are needed to improve rational drug use in Nigerian hospitals.
基金supported by the National Natural Science Foundation of China(Grants U23A20660,52008099,and 52378288)the Major Science and Technology Project of Yunnan Province,China(Grant 202502AD080007)the China Railway Engineering Corporation Science and Technology Research and Development Project(Grant 2022-Key-44).
文摘There are multiple types of risks involved in the service of long-span railway bridges.Classical methods are difficult to provide targeted alarm information according to different situations of load anomalies and structural anomalies.To accurately alarm different risks of long-span railway bridges by structural health monitoring systems,this paper proposes a cross-cooperative alarm method using principal and secondary indicators during high-wind periods.It provides the prior criterion for monitoring systems under special conditions,defining the principal and secondary indicators,alarm levels,and thresholds based on the relationship between dynamic equilibrium equations and multiple linear regression analysis.Analysis of one-year monitoring data from a longspan railway cable-stayed bridge shows that the 10-min average cross-bridge wind speed(excitation indicator)can be selected as the principal indicator,while lateral displacement(response indicator)can serve as the secondary indicator.The threshold levels of the secondary indicator prioritize the safety of bridge operation(mainly aiming at the safety of trains traversing bridges),with values significantly lower than structural safety thresholds.This approach enhances alarm timeliness and effectively distinguishes between load anomalies,structural anomalies,and equipment failures.Consequently,it improves alarm accuracy and provides timely decision support for bridge maintenance,train traversing,and emergency treatment.
文摘This editorial delves into the potential of systemic immune indicators(SIIs)as early predictors of renal damage in children with newly diagnosed type 1 diabetes mellitus.By exploring the recent study published by Cao et al,this article aims to highlight the importance of early detection and intervention.This study compre-hensively analyzes various SIIs,examining their correlation with renal compli-cations in newly diagnosed type 1 diabetic children.The findings reveal a sig-nificant association between immune system dysregulation and the onset of renal damage,suggesting that certain immune indicators can be early markers for predicting renal complications.This editorial emphasizes the clinical implications and applications of utilizing SIIs for early detection in pediatric diabetes care.It underscores the importance of innovative diagnostic approaches and illustrates real-world applications and outcomes.Additionally,it addresses the challenges and considerations in adopting these indicators and outlines future research directions to enhance diabetes management in children.
基金supported by the Southwest Minzu University Research Startup Funds (No.16011221038,RQD2022021)Double World-Class Project (No.CX2023010)。
文摘Wetland degradation is an escalating global challenge with profound impacts on animal diversity,particularly during successional processes.Birds,as highly mobile and environmentally sensitive organisms,serve as effective indicators of ecological change.While previous studies have primarily focused on local community structures and species diversity during a specific season,there is a need to extend the research timeframe and explore broader spatial variations.Additionally,expanding from simple species diversity indices to more multidimensional diversity indices would provide a more comprehensive understanding of wetland health and resilience.To address these gaps,we investigated the effects of wetland degradation on bird diversity across taxonomic,phylogenetic,and functional dimensions in the Zoige Wetland,a plateau meadow wetland biodiversity hotspot.Surveys were conducted during both breeding(summer)and overwintering(winter)seasons across 20 transects in 5 sampling areas,representing 4 degradation levels(pristine,low,medium,and high).Our study recorded a total of 106 bird species from 32 families and 14 orders,revealing distinct seasonal patterns in bird community composition and diversity.Biodiversity indices were significantly higher in pristine and low-degraded wetlands,particularly benefiting waterfowl(Anseriformes,Ciconiiformes)and wading birds(Charadriiformes)in winter,when these areas provided superior food resources and habitat conditions.In contrast,medium and highly degraded wetlands supported increased numbers of terrestrial birds(Passeriformes)and raptors(Accipitriformes,Falconiformes).Seasonal differences in taxonomic,phylogenetic,and functional diversity indices highlighted the contrasting ecological roles of wetlands during breeding and overwintering periods.Furthermore,indicator species analysis revealed key species associated with specific degradation levels and seasons,providing valuable insights into wetland health.This study underscores the importance of spatiotemporal dynamics in understanding avian responses to wetland degradation.By linking seasonal patterns of bird diversity to habitat conditions,our findings contribute to conservation efforts and provide a framework for assessing wetland degradation and its ecological impacts.
文摘Objective To study a way to establish a drug inspection evaluation system in China.Methods Through literature research,behavioral event interviews,Delphi expert interviews,and other methods,the theory of“threedimensional quality structure model”was used to extract,screen,and construct a set of evaluation indicator system for drug inspection,including 3 first-level indicators,11 second-level indicators,and 47 third-level indicators.Results and Conclusion An effective management tool to evaluate the quality of drug inspection has not yet been formed in China.According to the requirements of laws,regulations,and departmental rules,combined with the mature drug inspection mechanism of international drug regulatory agencies or organizations and the international quality management theory,some management tools are put forward to improve the quality system of drug supervision.
文摘Healthcare waste management (HCWM) is an important aspect of healthcare delivery globally because of its hazardous and infectious components that have potential for adverse health and environmental impacts. The paper introduces a set of indicators for assessing HCWM systems in hospitals. These indicators are: HCWM policies and standard operating procedures, management and oversight, logistics and budget support, training and occupational health and safety, and treatment, disposal and waste treatment equipment housing. By plotting a mark on a continuum which is defined as good and poor on the extremes and is connected with all other marks in a spoke arrangement, it’s possible to describe a baseline for HCWM in any specific hospital. This baseline can be used to improve awareness of the actors and policy-makers, compare the same hospital at a different point in time, to compare observations by different evaluators and to track improvements. Results suggest that in Kenya, the application of such indicators is useful for evaluating which priorities should be addressed to improve outcomes in HCWM systems. Systematic sampling technique was used to identify and collect data by use of observational checklist, interviews, visual verification and review of documents and a HCWM assessment tool. The objective is to suggest an integrated management tool as a method to identify prevailing problems with a HCWM system. The method can be replicated in other contexts worldwide, with a focus on the developing world. The integrated indicators focus on management of HCW and not its potential impact on human health and environment, an area recognized to be critical for future research.
文摘Succinylcholine(SC)is a widely used depolarizing muscle relaxant,but improper use can lead to arrhythmias and,in severe cases,pose a life-threatening risk.Additionally,some criminals exploit SC for illicit activities.Therefore,rapid SC detection is paramount for clinical practice and public safety.Currently,however,limited methods are available for the rapid detection of SC.A fluorescent indicator displacement assay sensor based on molecular recognition of an amide naphthotube was developed.This sensor enabled the rapid fluorescent detection of SC through competitive binding between SC and methylene blue with the amide naphthotube.The sensor exhibited exceptional sensitivity with a detection limit as low as 1.1μmol/L and a detection range of 1.1~60μmol/L,coupled with outstanding selectivity and robust stability.Furthermore,this sensor accurately determined SC levels in biological samples such as serum.In summary,this research provides a new solution for the rapid and accurate sensing of SC in complex matrices and offers new insights for the swift identification and detection of toxins.
文摘In order to accurately forecast the main engine fuel consumption and reduce the Energy Efficiency Operational Indicator(EEOI)of merchant ships in polar ice areas,the energy transfer relationship between ship-machine-propeller is studied by analyzing the complex force situation during ship navigation and building a MATLAB/Simulink simulation platform based on multi-environmental resistance,propeller efficiency,main engine power,fuel consumption,fuel consumption rate and EEOI calculation module.Considering the environmental factors of wind,wave and ice,the route is divided into sections,the calculation of main engine power,main engine fuel consumption and EEOI for each section is completed,and the speed design is optimized based on the simulation model for each section.Under the requirements of the voyage plan,the optimization results show that the energy efficiency operation index of the whole route is reduced by 3.114%and the fuel consumption is reduced by 9.17 t.
文摘This study provides a systematic investigation into the influence of feature selection methods on cryptocurrency price forecasting models employing technical indicators.In this work,over 130 technical indicators—covering momentum,volatility,volume,and trend-related technical indicators—are subjected to three distinct feature selection approaches.Specifically,mutual information(MI),recursive feature elimination(RFE),and random forest importance(RFI).By extracting an optimal set of 20 predictors,the proposed framework aims to mitigate redundancy and overfitting while enhancing interpretability.These feature subsets are integrated into support vector regression(SVR),Huber regressors,and k-nearest neighbors(KNN)models to forecast the prices of three leading cryptocurrencies—Bitcoin(BTC/USDT),Ethereum(ETH/USDT),and Binance Coin(BNB/USDT)—across horizons ranging from 1 to 20 days.Model evaluation employs the coefficient of determination(R2)and the root mean squared logarithmic error(RMSLE),alongside a walk-forward validation scheme to approximate real-world trading contexts.Empirical results indicate that incorporating momentum and volatility measures substantially improves predictive accuracy,with particularly pronounced effects observed at longer forecast windows.Moreover,indicators related to volume and trend provide incremental benefits in select market conditions.Notably,an 80%–85% reduction in the original feature set frequently maintains or enhances model performance relative to the complete indicator set.These findings highlight the critical role of targeted feature selection in addressing high-dimensional financial data challenges while preserving model robustness.This research advances the field of cryptocurrency forecasting by offering a rigorous comparison of feature selection methods and their effects on multiple digital assets and prediction horizons.The outcomes highlight the importance of dimension-reduction strategies in developing more efficient and resilient forecasting algorithms.Future efforts should incorporate high-frequency data and explore alternative selection techniques to further refine predictive accuracy in this highly volatile domain.
基金Mid-term Results of the 2024 Langfang Normal University Special Teaching Reform Project on Innovation and Entrepreneurship Education Reform,“Research on the Evaluation System of Innovation and Entrepreneurship Ability for Normal University Students Based on Big Data Application-A Case Study of Langfang Normal University”(Project No.:CXJG2024-06)。
文摘Under the National Innovation-Driven Development Strategy,establishing a scientifically sound evaluation system for normal university students’innovation and entrepreneurship capabilities serves as a crucial foundation for optimizing innovation education models and enhancing teacher candidates’comprehensive competencies.Based on existing indicator frameworks,we designed a questionnaire and applied exploratory factor analysis(EFA)to screen indicators,reduce dimensionality,and analyze weighting.This process identified key metrics for evaluating pedagogical students’innovation capacities,ultimately constructing a targeted assessment system for normal university students.The study provides theoretical support for cultivating teacher trainees’innovative capabilities while contributing to the national innovation strategy implementation.
基金Supported by Grants of the Suzhou Medical Key Discipline,No.SZXK202109Suzhou Clinical Key Disease Project,No.LCZX202111Suzhou Promoting Health through Science and Education Research Project,No.KJXW2021028.
文摘BACKGROUND Nutritional and inflammatory indicators are crucial in assessing the nutritional health and immune function of patients with cancer,which are factors closely associated with the diagnosis and treatment of colorectal cancer(CRC).AIM To explore the relationship between nutritional and inflammatory indicators and microsatellite stability(MSS)status in CRC.METHODS The clinical data of 56 patients who underwent surgical treatment for CRC were collected.Furthermore,the expressions of nutritional(levels of serum albumin,triglycerides,serum cholesterol,and body mass index)and inflammatory response indicators(absolute neutrophil count,absolute lymphocyte count,absolute monocyte count,neutrophil-to-lymphocyte ratio,and lymphocyte-to-monocyte ratio)as well as their correlation with microsatellite instability(MSI)status were investigated in patients with CRC.RESULTS Compared to the patients with MSS tumors,those with MSI tumors demonstrated significantly lower levels of two nutritional indicators,namely serum albumin and body mass index(P<0.05).Moreover,patients in the MSI group demonstrated significantly lower absolute lymphocyte counts and higher neutrophil-to-lymphocyte ratio than those in the MSS group(P<0.05),indicating pronounced differences in inflammatory responses and immune states between the two groups.CONCLUSION Certain nutritional and inflammatory indicators exhibit significant differences among patients with MSI and MSS CRC,highlighting their potential role in the clinical treatment and health management of this specific population.
文摘Gastric cancer remains a major cause of cancer-related mortality worldwide,with immunotherapy emerging as a promising treatment strategy.Neoadjuvant im-mune checkpoint therapy has shown potential in enhancing antitumor responses and improving surgical outcomes.However,its effects on systemic coagulation and thrombotic risk remain poorly understood.This study aims to investigate the relationship between neoadjuvant immune checkpoint therapy and coagulation dynamics in patients with gastric cancer,exploring potential mechanisms that may contribute to a hypercoagulable state.By assessing coagulation markers,thrombotic events,and inflammatory responses,this research seeks to provide insights into the interplay between immune modulation and hemostatic alte-rations.A better understanding of these interactions may help optimize patient management and guide thromboprophylaxis strategies in this clinical setting.
文摘Hydrogen is emerging as a promising alternative to fossil fuels in the transportation sector.This study evaluated the feasibility of estab-lishing hydrogen refueling stations in five cities in Oman,Duqm,Haima,Sur,Al Buraymi,and Salalah,using Hybrid Optimization of Multiple Electric Renewables(HOMER)software.Three hybrid energy systems,photovoltaic-wind turbine-battery,photovoltaic-battery,and wind turbine-battery were analyzed for each city.Results indicated that Duqm offers the lowest net present cost(NPC),levelized cost of energy,and levelized cost of hydrogen,making it the most cost-effective location.Additionally,Sensitivity analysis showed that as the life of electrolyzer increases during operation,the initial capital expenditure is distributed over a longer operational period,leading to a reduction in the NPC.More so,renewable energy systems produced no emissions which supports Oman’s mission target.This comprehensive analysis confirms the feasibility of establishing a hydrogen refueling station in Duqm,Oman,and highlights advanced optimization techniques’superior capability in designing cost-effective,sustainable energy systems.
基金Supported by the Natural Science Foundation of Fujian Province,No.2023J01160Scientific Research Project of Putian University,No.2022059Special Project for Outstanding Young Talents of Putian University,No.2024072.
文摘Gastric cancer(GC),the fifth most common malignancy worldwide,poses a substantial challenge in clinical oncology,particularly in its advanced stages.Despite advancements in immunotherapy,patient prognosis remains poor,underscoring the need for reliable prognostic tools to refine treatment strategies.A study by Yao et al explores the role of the triglyceride-glucose(TyG)index as a prognostic marker for advanced GC patients receiving immunotherapy combined with chemotherapy.The results of the study demonstrate that the TyG index correlates with improved survival outcomes,including better progression-free survival and overall survival.This editorial critically evaluates the significance of these findings,discusses their implications for future research,and highlights innovative directions that could drive further breakthroughs in the application of the TyG index to cancer therapy.This editorial also highlights the potential of TyG in advancing precision oncology and advocates for global validation and mechanistic investigations to further solidify its clinical utility.Future research should focus on validating the TyG index across various malignancies,exploring its potential to influence immunotherapy through metabolic interventions,and developing multi-biomarker models that integrate TyG with immune and genomic profiles.
文摘Background: The irrational use of medicines remains a key health problem in many developing countries. The overuse of antibiotics is a key driver of antimicrobial resistance (AMR). This study surveyed antibiotic use and adherence to the World Health Organization (WHO) prescribing indicators at the Request Muntanga Hospital in the Kalomo District of Southern Province, Zambia. Materials and Methods: This cross-sectional study was conducted from July 2023 to September 2023 at Request Muntanga Hospital in Zambia and reviewed 600 medical record prescriptions which were issued from July 1, 2022 to June 30, 2023 using the WHO prescribing indicators. The collected data were analyzed using Statistical Package for Social Sciences version 23.0. Results: From the 600 prescriptions sampled, 1246 medicines were prescribed, with antibiotics making up 86.7% of the encounters. Additionally, the average number of drugs prescribed per encounter was 2.1 and the prevalence of polypharmacy was 61.3%. Further, 17.8% of medicines were prescribed as injectables. Furthermore, 76.7% of the drugs were prescribed from the Zambia Essential Medicines List and 38.9% by generic names. Conclusions: This study found a high use of antibiotics and deviations from the WHO/International Network of Rational Use of Drugs (INRUD) core prescribing indicators at the Request Muntanga Hospital indicating non-adherence to the prescribing indicators. There is a need to promote adherence to the WHO/INRUD core prescribing indicators to promote the rational use of antibiotics and prevent the emergence and spread of AMR.
基金funded by the National Key R&D Program“Transportation Infrastructure”project(No.2022YFB2603400)the Technology Research and Development Plan Program of China State Railway Group Co.,Ltd.(No.Q2024T001)the National project pre research project of Suzhou City University(No.2023SGY019).
文摘Purpose-The indoor vibration compaction test(IVCT)was a key step in controlling the compaction quality for high-speed railway graded aggregate(HRGA),which currently had a research gap on the assessment indicators and compaction parameters.Design/methodology/approach-To address these issues,a novel multi-indicator IVCT method was proposed,including physical indicator dry density(ρd)and mechanical indicators dynamic stiffness(Krb)and bearing capacity coefficient(K20).Then,a series of IVCTs on HRGA under different compaction parameters were conducted with an improved vibration compactor,which could monitor the physical-mechanical indicators in real-time.Finally,the optimal vibration compaction parameters,including the moisture content(ω),the diameter-to-maximum particle size ratio(Rd),the thickness-to-maximum particle size ratio(Rh),the vibration frequency(f),the vibration mass(Mc)and the eccentric distance(re),were determined based on the evolution characteristics for the physical-mechanical indicators during compaction.Findings-All results indicated that theρd gradually increased and then stabilized,and the Krb initially increased and then decreased.Moreover,the inflection time of the Krb was present as the optimal compaction time(Tlp)during compaction.Additionally,optimal compaction was achieved whenωwas the water-holding content after mud pumping,Rd was 3.4,Rh was 3.5,f was the resonance frequency,and the ratio between the excitation force and the Mc was 1.8.Originality/value-The findings of this paper were significant for the quality control of HRGA compaction.
基金supported by National Natural Science Foundation of China(Nos.52174328 and 52474368)Fundamental Research Funds for Central Universities of Central South University(Nos.2022ZZTS0084 and 2024ZZTS0062).
文摘Reducing raw materials consumption(RMC)in electric arc furnace(EAF)steelmaking process is beneficial to the reduction in resource and energy consumption.The conventional indicator of evaluating RMC only focuses on EAF inputs and outputs,neglecting the associations between smelting operations and RMC.Traditional methods of reducing RMC rely on manual experience and lack a standard operation guidance.A method based on association rules mining and metallurgical mechanism(ARM-MM)was proposed.ARM-MM proposed an improved evaluation indicator of RMC and the indicator independently showed the associations between smelting operations and RMC.On the basis,1265 heats of real EAF data were used to obtain the operation guidance for RMC reduction.According to the ratio of hot metal(HM)in charge metals,data were divided into all dataset,low HM ratio dataset,medium HM ratio dataset,and high HM ratio dataset.ARM algorithm was used in each dataset to obtain specific operation guidance.The real average RMC under all dataset,medium HM ratio dataset,and high HM ratio dataset was reduced by 279,486,and 252 kg/heat,respectively,when obtained operation guidance was applied.
基金supported by the Natural Science Foundation of Hunan Province,China(Grant Nos.2023JJ50178 and 2023JJ50194)the Excellent Youth Project of Hunan Provincial Department of Education(Grant No.23B0542).
文摘Rack-level loop thermosyphons have been widely adopted as a solution to data centers’growing energy demands.While numerous studies have highlighted the heat transfer performance and energy-saving benefits of this system,its economic feasibility,water usage effectiveness(WUE),and carbon usage effectiveness(CUE)remain underexplored.This study introduces a comprehensive evaluation index designed to assess the applicability of the rack-level loop thermosyphon system across various computing hub nodes.The air wet bulb temperature Ta,w was identified as the most significant factor influencing the variability in the combination of PUE,CUE,and WUE values.The results indicate that the rack-level loop thermosyphon system achieves the highest score in Lanzhou(94.485)and the lowest in Beijing(89.261)based on the comprehensive evaluation index.The overall ranking of cities according to the comprehensive evaluation score is as follows:Gansu hub(Lanzhou)>Inner Mongolia hub(Hohhot)>Ningxia hub(Yinchuan)>Yangtze River Delta hub(Shanghai)>Chengdu Chongqing hub(Chongqing)>Guangdong-Hong Kong-Macao Greater Bay Area hub(Guangzhou)>Guizhou hub(Guiyang)>Beijing-Tianjin-Hebei hub(Beijing).Furthermore,Hohhot,Lanzhou,and Yinchuan consistently rank among the top three cities for comprehensive scores across all load rates,while Guiyang(at a 25%load rate),Guangzhou(at a 50%load rate),and Beijing(at 75%and 100%load rates)exhibited the lowest comprehensive scores.
文摘Colonoscopy remains the cornerstone of colorectal cancer prevention and survei-llance,but the procedure’s effectiveness is entirely dependent upon various quali-ty indicators,such as detection rates,withdrawal time,adequate bowel prepara-tion,cecal intubation rate and patient outcomes.Despite progress in endoscopic techniques,challenges persist in maintaining endoscopists’consistent perfor-mance and improving quality metrics.Artificial intelligence(AI)has emerged as a“game changer”in the gastroenterology field,offering the opportunity to signifi-cantly increase colonoscopy quality.This review highlights the role of AI-driven technologies such as deep learning,computer vision,and real-time feedback me-chanisms in optimizing key quality indicators of colonoscopy.The implementa-tion of AI in colonoscopy may reduce human error,improve endoscopist’s consis-tency in real-time decision making,ensuring higher reliability and standardiza-tion during the procedure.Furthermore,AI has the potential to reshape how en-doscopists perform and evaluate procedures,while improved lesion characte-rization may enable more precise selection for resection,reducing morbidity and the incidence of interval cancers.The review also addresses challenges and limi-tations in AI integration,including cost-effectiveness and its impact on endosco-pist training.AI holds substantial promise for advancing colonoscopy quality and elevating overall patient care,paving the way for more effective and personalized medical approaches.
基金supported by President Foundation of the Third Affiliated Hospital of Southern Medical University(YH202207)。
文摘Objectives:This study aimed to evaluate the measurement properties and methodological quality of instruments developed to evaluate the quality of online health information.Methods:In this study,a systematic search was conducted across a range of databases,including the China National Knowledge Infrastructure(CNKI),Wanfang,China Science and Technology Journal(VIP),SinoMed,PubMed,Web of Science,CINAHL,Embase,the Cochrane Library,PsycINFO,and Scopus.The search period spanned from the inception of the databases to October 2023.Two researchers independently conducted the literature screening and data extraction.The methodological quality of the included studies was assessed using the Consensus-based Standards for the Selection of Health Measurement Instruments(COSMIN)Risk of Bias checklist.The measurement properties were evaluated using the coSMIN criteria.The modified Grading,Recommendations,Assessment,Development,and Evaluation(GRADE)system was used to determine the quality grade.Results:A total of 18 studies were included,and the measurement properties of 17 scales were assessed.Fifteen scales had content validity,three had structural validity,six had internal consistency,two had test-retest reliability,nine had interater reliability,one had measurement error,six instruments had criterion validity,and three scales had hypotheses testing for construct validity;however,the evaluation of their methodological quality and measurement properties revealed deficiencies.Of these 17 scales,15 were assigned a Level B recommendation,and two received a Level C recommendation.Conclusions:The Health Information Website Evaluation Tool(HIWET)can be temporarily used to evaluate the quality of health information on websites.The Patient Education Materials Assessment Tool(PEMAT)can temporarily assess the quality of video-based health information.However,the effectiveness of both tools needs to be further verified.
