An Improved CREAM Model Based on DS Evidence Theory and DEMATEL

Cognitive Reliability and Error Analysis Method(CREAM)is widely used in human reliability analysis(HRA).It defines nine common performance conditions(CPCs),which represent the factors thatmay affect human reliability and are used to modify the cognitive failure probability(CFP).However,the levels of CPCs are usually determined by domain experts,whichmay be subjective and uncertain.What’smore,the classicCREAMassumes that the CPCs are independent,which is unrealistic.Ignoring the dependence among CPCs will result in repeated calculations of the influence of the CPCs on CFP and lead to unreasonable reliability evaluation.To address the issue of uncertain information modeling and processing,this paper introduces evidence theory to evaluate the CPC levels in specific scenarios.To address the issue of dependence modeling,the Decision-Making Trial and Evaluation Laboratory(DEMATEL)method is used to process the dependence among CPCs and calculate the relative weights of each CPC,thus modifying the multiplier of the CPCs.The detailed process of the proposed method is illustrated in this paper and the CFP estimated by the proposed method is more reasonable.

Are case reports valuable?Exploring their role in evidence based medicine and patient care

Case reports,often overlooked in evidence-based medicine(EBM),play a pivotal role in healthcare research.They provide unique insights into rare conditions,novel treatments,and adverse effects,serving as valuable educational tools and generating new hypothesis.Despite their limitations in generalizability,case reports contribute significantly to evidence-based practice by offering detailed clinical information and fostering critical thinking among healthcare professionals.By acknowledging their limitations and adhering to reporting guidelines,case reports can contribute significantly to medical knowledge and patient care within the evolving landscape of EBM.This editorial explores the intrinsic value of case reports in EBM and patient care.

Non-alcoholic fatty liver disease in type 2 diabetes:Emerging evidence of benefit of peroxisome proliferator-activated receptors agonists and incretin-based therapies

Nonalcoholic fatty liver disease(NAFLD)is a global epidemic,affecting more than half of the people living with type 2 diabetes(T2D).The relationship between NAFLD and T2D is bidirectional and the presence of one perpetuates the other,which significantly increases the hepatic as well as extrahepatic complications.Until recently,there was no approved pharmacological treatment for NAFLD/nonalcoholic steatohepatitits(NASH).However,there is evidence that drugs used for diabetes may have beneficial effects on NAFLD.Insulin sensitizers acting through peroxisome proliferator-activated receptor(PPAR)modulation act on multiple levels of NAFLD pathogenesis.Pioglitazone(PPARγ agonist)and saroglitazar(PPARα/γagonist)are particularly beneficial and recommended by several authoritative bodies for treating NAFLD in T2D,although data on biopsyproven NASH are lacking with the latter.Initial data on elafibanor(PPARα/δ agonist)and Lanifibranor(pan PPAR agonist)are promising.On the other hand,incretin therapies based on glucagon-like peptide-1(GLP-1)receptor agonists(GLP-1RA)and dual-and triple-hormone receptor co-agonists reported impressive weight loss and may have anti-inflammatory and antifibrotic properties.GLP-1 RAs have shown beneficial effects on NAFLD/NASH and more studies on potential direct effects on liver function by dual-and triple-agonists are required.Furthermore,the long-term safety of these therapies in NAFLD needs to be established.Collaborative efforts among healthcare providers such as primary care doctors,hepatologists,and endocrinologists are warranted for selecting patients for the best possible management of NAFLD in T2D.

Summary of the Best Evidence for Tube Feeding Intolerance in Critically Ill Children

Objective:To summarize the evidence of tube feeding intolerance in critically ill children,aiming to provide evidence-based information for clinical nursing staff.Methods:Evidence search was done in Chinese and English databases to guide network and professional associations at home and abroad.The search time limit was from January 2014 to January 2024,nearly 10 years of relevant literature,mainly including guidelines,consensus,expert advice,best practice,evidence summary,system evaluation,and meta-analysis.Literature quality evaluation and evidence extraction were independently performed by two researchers.Results:This paper included 13 articles,including three guidelines,three systematic evaluations,three expert opinions,and four expert consensus.Twenty-six pieces of evidence were summarized from 10 aspects of feeding intolerance definition,team building,nutritional assessment,nutritional preparation,feeding protocol,feeding route,feeding management,pipeline management,gastric residual volume,and drug application.Conclusion:This paper summarized the evidence of tube feeding intolerance in critically ill children,which can provide evidence-based information for clinical practice.The abdominal signs should be closely observed when evaluating feeding intolerance,focusing on the prevention and reduction of feeding interruption.

Research on the Application of Evidence-Based Quality Control Circle to Improve the Implementation Rate of Airway Management Measures in Adult Critically Ill Patients

Objective: To explore the effect of evidence-based quality control circle (QCC) in improving the implementation rate of airway management measures in adult critically ill patients. Methods: Based on the Joanna Briggs Institute (JBI) evidence-based health care model, the best evidence of airway management in adult critically ill patients was obtained and applied to the clinic. Results: The total implementation rate of airway management measures in adult critically ill patients increased from 23.62% before the implementation of quality control circle to 88.82%, and the pulmonary infection rate in critically ill patients decreased from 42.31% to 21.74%, with statistical significance between the two groups (P 0.05). Conclusion: Evidence-based quality control circle activities can standardize the practice standards of airway management in critically ill patients, reduce the occurrence of patients’ airway related complications, and improve clinical outcomes.

A novel adaptive temporal-spatial information fusion model based on Dempster-Shafer evidence theory

In the field of target recognition based on the temporal-spatial information fusion,evidence the-ory has received extensive attention.To achieve accurate and efficient target recognition by the evi-dence theory,an adaptive temporal-spatial information fusion model is proposed.Firstly,an adaptive evaluation correction mechanism is constructed by the evidence distance and Deng entropy,which realizes the credibility discrimination and adaptive correction of the spatial evidence.Secondly,the credibility decay operator is introduced to obtain the dynamic credibility of temporal evidence.Finally,the sequential combination of temporal-spatial evidences is achieved by Shafer’s discount criterion and Dempster’s combination rule.The simulation results show that the proposed method not only considers the dynamic and sequential characteristics of the temporal-spatial evidences com-bination,but also has a strong conflict information processing capability,which provides a new refer-ence for the field of temporal-spatial information fusion.

Structural Interval Reliability Algorithm Based on Bernstein Polynomials and Evidence Theory

Structural reliability is an important method to measure the safety performance of structures under the influence of uncertain factors.Traditional structural reliability analysis methods often convert the limit state function to the polynomial form to measure whether the structure is invalid.The uncertain parameters mainly exist in the form of intervals.This method requires a lot of calculation and is often difficult to achieve efficiently.In order to solve this problem,this paper proposes an interval variable multivariate polynomial algorithm based on Bernstein polynomials and evidence theory to solve the structural reliability problem with cognitive uncertainty.Based on the non-probabilistic reliability index method,the extreme value of the limit state function is obtained using the properties of Bernstein polynomials,thus avoiding the need for a lot of sampling to solve the reliability analysis problem.The method is applied to numerical examples and engineering applications such as experiments,and the results show that the method has higher computational efficiency and accuracy than the traditional linear approximation method,especially for some reliability problems with higher nonlinearity.Moreover,this method can effectively improve the reliability of results and reduce the cost of calculation in practical engineering problems.

Summary of the Best Evidence for Preoperative Pre-Rehabilitation in Patients with Lung Cancer Complicated with COPD

Objective: To search, evaluate and integrate the best domestic and foreign evidence on the preoperative pre-rehabilitation of lung cancer patients with COPD, and summarize the best evidence. Methods: Cochrane Library, BMJ Best Practice, JBI Center for International Cooperation in Evidence-Based Health Care Library, and Up to were searched by computer system Date, Embase, CINAHL, PubMed, Evidence-Based Health Care Center Database (JBI), American Guidenet, Global Guidenet, CNKI, CMBM, Wanfang, and VIP databases on preoperative pre-rehabilitation of patients with lung cancer and COPD. Literature screening and quality evaluation were conducted independently by two researchers, and evidence was extracted, summarized and summarized according to the theme. Results: A total of 13 kinds of literature were included, including 4 guidelines, 4 systematic reviews, 3 evidence summaries, and 2 expert consensus articles. This paper summarizes 44 best evidence on pre-rehabilitation of lung cancer patients with COPD, including 8 aspects: pre-rehabilitation content and principle, pre-rehabilitation assessment, exercise rehabilitation, nutrition management, psychological guidance, health education, multidisciplinary cooperation, quality control and follow-up. Conclusion: The best evidence of preoperative pre-rehabilitation for patients with lung cancer complicated with COPD is rich in content, and needs to be selected according to the characteristics of the hospital and the clinical environment. Some of the evidence still needs to be confirmed by higher-quality studies. .

Exploring the association of paid sick leave with healthcare utilization and health outcomes in the United States:a rapid evidence review

Objective:Paid sick leave(PSL)laws mandate employers give workers paid time off when they are sick or injured.This current study aims to examine whether access to PSL is associated with healthcare utilization and health outcomes and to summarize the types of utilization and outcomes which have been reported to be associated with PSL.Methods:We conducted a rapid evidence review.Our search of seven databases,including Medline,Embase,PsycINFO,Cochrane Library,CINAHL,Scopus,and JSTOR,on September 21,2020,identified 757 studies,30 of which were retained.Results:Previous evidence is mostly provided by cross-sectional studies with survey data.In this study,evidence suggests that PSL is significantly associated with some types of healthcare utilization and health outcomes.In terms of healthcare utilization,findings indicate PSL is associated with an increase in the use of some preventive sendees and a decrease in the use of emergency care;while findings are mixed regarding associations of PSL with health provider visits and the use of mammograms and pap smears.As for health outcomes,findings suggest PSL is associated with improved mental and self-rated health,decreased incidence of influenza-like illness,and lower occupational injuries and mortality rates.Conclusion:PSL may be an effective tool in improving some healthcare utilization and health outcomes.Future research could help identify mechanisms through which PSL access works and identify what policy components lead to better outcomes.

Summary of the Best Evidence for the Evaluation and Management of Chemotherapy-Related Nausea and Vomiting in Cancer Patients

Objective: To summarize the best evidence for the evaluation and management of chemotherapy-related nausea and vomiting in cancer patients, so as to promote the standardized management of chemotherapy-related nausea and vomiting in cancer patients. Methods: A computer search was conducted for all evidence on chemotherapy-associated nausea and vomiting interventions, including guidelines, expert consensus, best clinical practice information booklet, recommended practice, evidence summary, and systematic review. The search period is from April 30, 2022. After the literature quality evaluation, the evidence extraction and summary of the literature meeting the quality standards. Results: A total of 16 literatures were included, including 9 guidelines, 5 systematic reviews and 2 expert consensus papers. 46 pieces of best evidence on the assessment and management of chemotherapy related nausea and vomiting in cancer patients were summarized, including 6 aspects including risk assessment and management, non-drug management, drug management, multidisciplinary cooperation, education and training, and health education. Conclusion: This study summarized the current best evidence on the assessment and management of chemotherapy-related nausea and vomiting in cancer patients. Clinical staff should apply evidence according to specific clinical scenarios, professional skills and patients’ wishes in order to reduce the degree and incidence of chemotherapy-related nausea and vomiting in cancer patients and improve the quality of care.

A Heterogeneous Information Fusion Method for Maritime Radar and AIS Based on D-S Evidence Theory

Maritime radar and automatic identification systems (AIS), which are essential auxiliary equipment for navigation safety in the shipping industry, have played significant roles in maritime safety supervision. However, in practical applications, the information obtained by a single device is limited, and it is necessary to integrate the information of maritime radar and AIS messages to achieve better recognition effects. In this study, the D-S evidence theory is used to fusion the two kinds of heterogeneous information: maritime radar images and AIS messages. Firstly, the radar image and AIS message are processed to get the targets of interest in the same coordinate system. Then, the coordinate position and heading of targets are chosen as the indicators for judging target similarity. Finally, a piece of D-S evidence theory based on the information fusion method is proposed to match the radar target and the AIS target of the same ship. Particularly, the effectiveness of the proposed method has been validated and evaluated through several experiments, which proves that such a method is practical in maritime safety supervision.

A New Definition of P-Value Involving the Maximum Likelihood Estimator

We present here an alternative definition of the P-value for statistical hypothesis test of a real-valued parameter for a continuous random variable X. Our approach uses neither the notion of Type I error nor the assumption that null hypothesis is true. Instead, the new P-value involves the maximum likelihood estimator, which is usually available for a parameter such as the mean μ or standard deviation σ of a random variable X with a common distribution.

Real-World Evidence in Localized Pancreatic: Coping with Uncertainty in Unselected Populations

Background: Localized pancreatic cancer, including resectable (R), borderline resectable (BR) and locally advanced unresectable disease (LAU), is considered in clinical guidelines for diverse treatment options based on clinical trials in selected populations. Hence, exploring with real world evidence (RWE) clinicians’ preferences for treatment options and their results seems pertinent. Methods: In a set of consecutive patients with localized pancreatic cancer assisted in a third level hospital from January 2013 to December 2022, medical records, symptoms, diagnostic process, distribution between subtypes, and treatment plans, with safety and efficacy results, were assessed. Results: A total of 152 patients with localized disease were included (43.4% R, 21.0% BR, 33.6% LAU). The population characteristics exemplified differences between daily practice and clinical trials. Tumor location and symptoms were as expected. Treatment plan was conditioned by PS or comorbidities in 23.0% of patients. In patients with R disease, surgery followed by different adjuvant chemotherapy (CT) regimes was the antineoplastic treatment of choice (64.8%) with efficacy results (OS 37.5 months;95% CI 18.4 - 56.7), in the range of contemporary standards. The common use of neoadjuvant CT for BR disease (94.4%), with surgery in 50% of them, and its results (OS 30.8 months;95% CI 10.5 - 51.2) reflected current controversies of treatment recommendations and evolution in this scenario. Paliative CT with or without radiotherapy was the standard specific treatment in LAU disease (95.1%) with survival results (PFS: 10.8 months;95% CI 8.8 - 12.7. OS: 20.3 months;95% CI 13.5 - 27.2) that justify the distinct character and the specific study of this entity. Conclusion: RWE for localized pancreatic cancer aroused from the analysis of this population confirms the distinct nature of patients assisted in daily practice, as well as mirrors the complexity of decision making in clinical assumptions in which achieving stronger evidence should be paramount.

Genetic Evidence for Causal Association Between Hypertension and Chronic Pain:A Bidirectional Two-Sample Mendelian Randomization Study

Objective The extent to which the association between hypertension and chronic pain in observational studies is either causally linked or influenced by other shared risk factors has not been substantially addressed.In the present study,Mendelian randomization(MR)was employed to examine the potential causal relationship between hypertension and risk of chronic pain.Methods The study data were derived from the pooled dataset of the genome-wide association study(GWAS),enabling the evaluation of the causal effects of hypertension on various types of chronic pain including chronic headache as well as chest,abdominal,joint,back,limb,and multisite chronic pain.We performed a bidirectional two-sample MR analysis using random effect inverse variance weighting(IVW),MR-Egger,weighted median,and weighted mode,quantified by odds ratio(OR).Results Genetically predicted essential hypertension was associated with an increased risk of chronic headache(OR=1.007,95%CI:1.003-1.011,P=0.002)and limb pain(OR=1.219,95%CI:1.033-1.439,P=0.019).No potential causal associations were identified between chronic pain and essential hypertension in the reverse direction MR(P>0.05).In addition,there was no potential causal association between secondary hypertension and chronic pain(P>0.05).Conclusion This study provided genetic evidence that a unidirectional causal relationship exists between essential hypertension and the increased risks of chronic headache and limb pain,and no causal relationship was found between secondary hypertension and chronic pain.These findings offer theoretical underpinnings for future research on managing hypertension and chronic pain.

Current Situation and Prospect of the Application of Real-World Evidence in Health Care

Objective To summarize the application of real-world evidence(RWE)in the medical and healthcare field of various countries,including relevant policies,application scenarios and application methods.Methods Relevant policies and application scenarios were obtained by consulting the official websites and public documents of various countries’healthcare institutions.Systematic literature retrieval was adopted to search PubMed,EMBASE,Cochrane Library,CNKI,CBM and Wanfang databases,and all papers related to real-world study and application were included.Then,these papers were classified and analyzed by country and application method.Results and Conclusion The RWE was mainly applied to supporting the preliminary approval of a new drug,expanding drug indications,accelerating approval or supporting conditional marketing authorizations and drug safety evaluation,etc.The United Kingdom,the United States,Germany,the Netherlands,Italy,Sweden,and France admitted RWE,but they treated the data obtained from RWE with caution.After systematic literature retrieval,a total of 701 articles were obtained,including relevant studies from 36 countries,among which the United States published 264 in total.The most common study was about using real-world data(RWD)to calculate treatment-related costs,which had a total of 259 studies.Secondly,158 articles were used for epidemiological analysis.Then,138 articles were about establishing risk models to analyze disease risk factors.A total of 70 articles were real-world efficacy evaluation of the drug treatment schemes,54 articles were about pharmacoeconomic evaluation with RWD as parameters.A total of 29 articles used RWD to build predictive models,and 15 articles used RWD to evaluate the health-related quality of life in patients.The application of RWE has been used widely in the medical and healthcare field of various countries.The application scenarios are gradually diversified,the application methods of RWD become mature,and the evidence quality of RWE is also improved greatly.

Levels of evidence and grades of recommendation supporting European society for medical oncology clinical practice guidelines

Background:The European Society for Medical Oncology(ESMO)guidelines are among the most comprehensive and widely used clinical practice guidelines(CPGs)globally.However,the level of scientific evidence supporting ESMO CPG recommendations has not been systematically investigated.This study assessed ESMO CPG levels of evidence(LOE)and grades of recommendations(GOR),as well as their trends over time across various cancer settings.Methods:We manually extracted every recommendation with the Infectious Diseases Society of America(IDSA)classification from each CPG.We examined the distribution of LOE and GOR in all available ESMO CPG guidelines across different topics and cancer types.Results:Among the 1,823 recommendations in the current CPG,30%were classified as LOEⅠ,and 43%were classified as GOR A.Overall,there was a slight decrease in LOEⅠ(−2%)and an increase in the proportion of GOR A(+1%)in the current CPG compared to previous versions.The proportion of GOR A recommendations based on higher levels of evidence such as randomized trials(LOEⅠ–Ⅱ)shows a decrease(71%vs.63%,p=0.009)while recommendations based on lower levels of evidence(LOEⅢ–Ⅴ)show an increase(29%vs.37%,p=0.01)between previous and current version.In the current versions,the highest proportion of LOEⅠ(42%)was found in recommendations related to pharmacotherapy,while the highest proportion of GOR A recommendations was found in the areas of pathology(50%)and diagnostic(50%)recommendations.Significant variability in LOEⅠand GOR A recommendations and their changes over time was observed across different cancer types.Conclusion:One-third of the current ESMO CPG recommendations are supported by the highest level of evidence.More well-designed randomized clinical trials are needed to increase the proportion of LOEⅠand GOR A recommendations,ultimately leading to improved outcomes for cancer patients.

Glacial debris flow susceptibility mapping based on combined models in the Parlung Tsangpo Basin,China

Machine learning(ML)-based prediction models for mapping hazard(e.g.,landslide and debris flow)susceptibility have been widely developed in recent research.However,in some specific areas,ML models have limited application because of the uncertainties in identifying negative samples.The Parlung Tsangpo Basin exemplifies a region prone to recurrent glacial debris flows(GDFs)and is characterized by a prominent landform featuring deep gullies.Considering the limitations of the ML model,we developed and compared two combined statistical models(FA-WE and FA-IC)based on factor analysis(FA),weight of evidence(WE),and the information content(IC)method.The final GDF susceptibility maps were generated by selecting 8 most important static factors and considering the influence of precipitation.The results show that the FA-IC model has the best performance.The areas with a very high susceptibility to GDFs are primarily located in the narrow valley section upstream,on both sides of the valley in the middle and downstream of the Parlung Tsangpo River,and in the narrow valley section of each tributary.These areas encompass 86 gullies and are characterized as"narrow and steep".

Research on Early Warning of Banking Crises from the Perspective of Credit Structures

The relationship between credit expansion and banking crises is complex and cannot be fully explained by total credit alone.A systematic analysis of the relationship between the amount and structure of total credit and banking crises is important for an objective prediction of the influence of potential financial risks.This paper,drawing on data from 15 selected countries,delves into the power of credit indicators in the early warning of banking crises from the perspectives of industrial structure,sector structure,and term structure of credit.Various machine learning methods were used,including Logistic Regression,Random Forest,Decision Tree,Support Vector Machine(SVM),Bagging,and Boosting models.The empirical findings indicate that credit expansion plays a crucial role in triggering banking crises.However,total credit is better suited for the early warning of short-term banking crises,whereas credit structure is more useful for the early warning of long-term banking crises.Moreover,in an early warning system,identifying key early warning indicators is more meaningful than merely increasing the number of indicators.Machine learning can somewhat enhance the early warning power,but it may not always be robust.Therefore,more attention should be paid to potential systemic banking crises resulting from an imbalance in credit structure while regulating the total credit threshold.

An Evidence-Based CoCoSo Framework with Double Hierarchy Linguistic Data for Viable Selection of Hydrogen Storage Methods

Hydrogen is the new age alternative energy source to combat energy demand and climate change.Storage of hydrogen is vital for a nation’s growth.Works of literature provide different methods for storing the produced hydrogen,and the rational selection of a viable method is crucial for promoting sustainability and green practices.Typically,hydrogen storage is associated with diverse sustainable and circular economy(SCE)criteria.As a result,the authors consider the situation a multi-criteria decision-making(MCDM)problem.Studies infer that previous models for hydrogen storage method(HSM)selection(i)do not consider preferences in the natural language form;(ii)weights of experts are not methodically determined;(iii)hesitation of experts during criteria weight assessment is not effectively explored;and(iv)three-stage solution of a suitable selection of HSM is unexplored.Driven by these gaps,in this paper,authors put forward a new integrated framework,which considers double hierarchy linguistic information for rating,criteria importance through inter-criteria correlation(CRITIC)for expert weight calculation,evidence-based Bayesian method for criteria weight estimation,and combined compromise solution(CoCoSo)for ranking HSMs.The applicability of the developed framework is testified by using a case example of HSM selection in India.Sensitivity and comparative analysis reveal the merits and limitations of the developed framework.

The Practice and Exploration of Applying EBM to Bilingual Teaching of Medical Genetics at OSBCM

In the process of teaching medical genetics of undergraduate clinical medicine, the practice and exploration of applying EBM to the bilingual teaching of OSBCM medical genetics are carried out. Using CBL and PBL as the carrier can make up for the shortcomings of a single teaching mode, synthesize the advantages of multiple teaching modes. It starts from integrating the basic theoretical knowledge of medicine and clinical practice knowledge, improving students’ bilingual level of medical genetics, cultivating students’ literature retrieval ability, and promoting early clinical, multi-clinical and repeated clinical consciousness for medical students. Therefore, it is more conducive to cultivate students’ ability to learn independently, accurately analyze and solve problems, improve medical students’ clinical thinking ability and scientific research awareness, improve medical students’ ability of international communication, and lay a solid foundation for improving medical students’ future post competence, innovative spirit and lifelong learning ability.