Comprehensive Criteria Research Articles

МНОГОКРИТЕРИАЛЬНАЯ ОЦЕНКА ЭФФЕКТИВНОСТИ МЕРОПРИЯТИЙ ПО РЕСУРСОСБЕРЕЖЕНИЮ В ИНЖЕНЕРНЫХ СИСТЕМАХ ТИПОВЫХ ЗДАНИЙ

Improving the energy efficiency of existing capital construction projects is an important and urgent task. To improve the efficiency of operation of residential apartment buildings, an analysis of existing measures for energy and resource saving was carried out, a set of particular criteria for the effectiveness of energy-saving measures for engineering systems of buildings was proposed, and the values of savings during their implementation for four types of houses were determined. A method for assessing the comparative effectiveness of energy-saving measures using the DEA multi-criteria assessment method (Data Envelopment Analysis) is proposed. Comprehensive performance criteria are formulated for the analysis of measures for heating, water supply and electricity supply systems. The use of the DEA methodology makes it possible to optimize the choice of priority areas for the implementation of resource saving measures for all types of buildings

IMPROVEMENT OF THE PROCEDURE OF PSYCHOPHYSIOLOGICAL EXPERTISES AS A BASIS FOR THE SELECTION OF STRESS-RESISTANT EMPLOYEES INDUSTRIAL ENTERPRISES AT WORK WITH HARMFUL WORK CONDITIONS

Goal. Development of recommendations for improvement of the "Organization Procedure and conducting a psychophysiological examination of employees for the performance of elevated work dangers and those requiring professional selection" of industrial workers enterprises at work with harmful working conditions with mandatory consideration factor of stress resistance. Approach. An analysis of the current procedure for psychophysiological examination was carried out. To improve the procedure psychophysiological examination, a step-by-step decision process was used, which will help to solve the problems of predicting professional suitability with taking into account the factor of stress resistance of workers of industrial enterprises at work with harmful working conditions. Indicators of the labor process are highlighted, which characterize professionally important physical and psycho-emotional loads, from which depends on the effectiveness of professional activity. Use is justified transformative-variable testing procedure, which will allow to obtain individual assessment of the suitability of employees to work on jobs with harmful working conditions Conclusion. The application of a complex approach to formation of the procedure for conducting a psychophysiological examination with the use of foreign experience and taking into account the domestic mentality for promotion stress resistance of workers of industrial enterprises in work with harmful working conditions. The improved procedure will meet the criteria of comprehensiveness, organically combine the principles of variability and standardization and, based on a set of norms and recommendations, to assess the stress resistance of the employee. As a direction it is advisable to indicate the need for development and justification of further research transformative and variable testing, which will determine the level of stress resistance of workers of industrial enterprises in jobs with harmful working conditions. Consequences of research. Improvements to the "Order of organization and conducting a psychophysiological examination of employees for the performance of elevated work dangers and those requiring professional selection" using indicators of the labor process to develop an assessment of the level of stress for each of them in accordance with "Hygienic classification of work according to indicators of harmfulness and dangerousness of factors production environment, difficulty and tension of the labor process". Practical consequences. Recommendations for improvement of the "Organization Procedure and conducting a psychophysiological examination of employees for the performance of elevated work dangers and those requiring professional selection" in order to select stress-resistant ones workers of industrial enterprises in jobs with harmful working conditions. Originality. The use of the criteria proposed in "Hygienic classification of labor according to indicators of harmfulness and dangerousness of production factors environment, difficulty and tension of the labor process": intellectual load, load on the sensory apparatus, emotional load, monotony and work mode for psychophysiological examination, for the purpose of selection stress-resistant workers to work with harmful working conditions.

Estimating autoimmune hepatitis in patients with hepatic dysfunction

Autoimmune Hepatitis (AIH) is a chronic inflammatory disease of the liver of unknown aetiology characterized by polyclonal hypergammaglobulinemia and circulating autoantibodies. Objective of the study is to find out the prevalence of autoimmune hepatitis and its causative autoantibody (Anti-nuclear, anti-smooth muscle, anti-liver kidney microsomes-1) following comprehensive diagnostic criteria given by International Autoimmune Hepatitis Group. Material and methods250 patients with raised aminotransferase but, negative for the commonest three clinical conditions viz, viral hepatitis, drug induced liver injury and alcohol induced liver injury were suspected to be a case of autoimmune hepatitis. Recent IAIHG criteria was followed in making diagnosis of autoimmune hepatitis. We did the investigation for viral hepatitis (acute/chronic), drug induced liver injury and alcohol induced liver injury and then measured serum IgG. Indirect Immunofluorescence (IIF) was done for Anti-nuclear antibody and was also done for anti-smooth muscle antibody and anti-liver kidney microsomes-1 antibody simultaneously. ResultAs per IAIHG criteria, out of 250 patients, Ig “G” was elevated in 88 patients with significant titres for Anti-nuclear antibody (50 patients), anti-smooth muscle antibody (65 patients), anti-liver kidney microsomes-1 antibody (7 patients) and Anti-mitochondrial antibody (18 patients) were found. As per International Autoimmune Hepatitis Group Comprehensive scoring system, probable diagnosis was made in 83 patients (33.2%) and 12 were confirmed for autoimmune hepatitis (4.8%). ConclusionFemale preponderance was observed and type 1 Autoimmune Hepatitis was most common whereas type 2 Autoimmune Hepatitis was found in few cases. Most patients had anti-smooth muscle antibody and anti-nuclear antibody positivity indicating the type, but no significant difference was seen in clinical symptoms or biochemical parameters between the different types. 162 patients couldn't be evaluated for autoimmune hepatitis because of serum IgG cut-off criteria >1500 ​mg/l.

Hard Sample Aware Network for Contrastive Deep Graph Clustering

Contrastive deep graph clustering, which aims to divide nodes into disjoint groups via contrastive mechanisms, is a challenging research spot. Among the recent works, hard sample mining-based algorithms have achieved great attention for their promising performance. However, we find that the existing hard sample mining methods have two problems as follows. 1) In the hardness measurement, the important structural information is overlooked for similarity calculation, degrading the representativeness of the selected hard negative samples. 2) Previous works merely focus on the hard negative sample pairs while neglecting the hard positive sample pairs. Nevertheless, samples within the same cluster but with low similarity should also be carefully learned. To solve the problems, we propose a novel contrastive deep graph clustering method dubbed Hard Sample Aware Network (HSAN) by introducing a comprehensive similarity measure criterion and a general dynamic sample weighing strategy. Concretely, in our algorithm, the similarities between samples are calculated by considering both the attribute embeddings and the structure embeddings, better revealing sample relationships and assisting hardness measurement. Moreover, under the guidance of the carefully collected high-confidence clustering information, our proposed weight modulating function will first recognize the positive and negative samples and then dynamically up-weight the hard sample pairs while down-weighting the easy ones. In this way, our method can mine not only the hard negative samples but also the hard positive sample, thus improving the discriminative capability of the samples further. Extensive experiments and analyses demonstrate the superiority and effectiveness of our proposed method. The source code of HSAN is shared at https://github.com/yueliu1999/HSAN and a collection (papers, codes and, datasets) of deep graph clustering is shared at https://github.com/yueliu1999/Awesome-Deep-Graph-Clustering on Github.

On the fast track: the benefits of ESG performance on the commercial credit financing.

Under the sustainability strategy, a company's ability to enhance its financing capacity through improvements in environmental, social, and governance (ESG) performance is crucial for fostering high-quality development. This study empirically examines the impact of corporate ESG performance on commercial credit financing (CCF) using data from China's A-share listed companies between 2009 and 2021. The findings of the panel regression analysis revealed a significant positive correlation between a company's ESG performance and CCF. Further analysis of the influencing mechanisms indicates that a company's ESG performance can increase its likelihood of obtaining CCF by reducing environmental, social, and governance risks. Specifically, we found that ESG performance facilitates access to CCF by promoting green innovation, enhancing social reputation, and mitigating operational risk. This study expands and enriches the theory of informal financing of enterprises while incorporating the more comprehensive assessment criteria for sustainable development.

Time-series based multi-criteria large-scale group decision making with intuitionistic fuzzy information and application to multi-period battery supplier selection

Battery is the core component of new energy vehicles. The choice of proper battery supplier is crucial for new energy vehicle companies since it directly affects the market share and core competitiveness. Some criteria of battery suppliers cannot be evaluated in the short period and need to be continuously evaluated at different periods (or time). Decision makers (DMs) may present some hesitancy when giving their evaluations. Thus, this paper formulates the battery supplier selection as a type of time-series based multi-criteria large-scale group decision making (LSGDM) with intuitionistic fuzzy information. A novel method is proposed to effectively resolve the battery supplier selection. Firstly, considering the importance of different periods, the comprehensive time weights are determined by combining the exponential decay model and the maximal entropy ordered weighted averaging (OWA) operator weights determining model. Secondly, DMs are divided into different clusters by using the proposed intuitionistic fuzzy Hamming distance-based fuzzy c-means (FCM) algorithm on each criterion. Combining the confidence levels of DMs and the corresponding clustering results, the DMs’ weights with respect to each criterion are determined. Then, the comprehensive criteria weights are obtained by integrating the intuitionistic fuzzy entropy and the constructed multi-objective programming model. Thirdly, the individual consensus level and group consensus degree at each period are defined, respectively. Then, a new identification approach is proposed to identify DMs to be adjusted. Subsequently, a total adjustment minimization model is built to adjust these DMs’ evaluation information. The optimal alternative is generated according to the collective global overall evaluations. Finally, a real example of batter supplier selection is demonstrated to verify the feasibility and superiority of the proposed method.

Recommender System Metaheuristic for Optimizing Decision-Making Computation

We implement a novel recommender system (RS) metaheuristic framework within a nonlinear NP-hard decision-making problem, for reducing the solution search space before high-burden computational steps are performed. Our RS-based metaheuristic supports consideration of comprehensive evaluation criteria, including estimations of the potential solution set’s optimality, diversity, and feedback/preference of the end-user, while also being fully compatible with additional established RS evaluation metrics. Compared to prior Operations Research metaheuristics, our RS-based metaheuristic allows for (1) achieving near-optimal solution scores through comprehensive deep learning training, (2) fast metaheuristic parameter inference during solution instantiation trials, and (3) the ability to reuse this trained RS module for traditional RS ranking of final solution options for the end-user. When implementing this RS metaheuristic within an experimental high-dimensionality simulation environment, we see an average 91.7% reduction in computation time against a baseline approach, and solution scores within 9.1% of theoretical optimal scores. A simplified RS metaheuristic technique was also developed in a more realistic decision-making environment dealing with multidomain command and control scenarios, where a significant computation time reduction of 87.5% is also achieved compared with a baseline approach, while maintaining solution scores within 9.5% of theoretical optimal scores.

Prevalence and Risk Factors Associated with Potentially Inappropriate Prescribing According to STOPP-2 Criteria among Discharged Older Patients-An Observational Retrospective Study.

Pharmacokinetic and pharmacodynamic changes associated with old age, along with multimorbidity and polypharmacy might lead to inappropriate prescribing and adverse reactions. Explicit criteria such as the Screening tool of older people's prescribing (STOPP) are useful to identify potential inappropriate prescribing's (PIPs). Our retrospective study included discharge papers from patients aged ≥65 years, from an internal medicine department in Romania (January-June 2018). A subset of the STOPP-2 criteria was used to assess the prevalence and characteristics of PIPs. Regression analysis was performed to evaluate the impact of associated risk factors (i.e., age, gender, polypharmacy and specific disease). Out of the 516 discharge papers analyzed, 417 were further assessed for PIPs. Patients' mean age was 75 years, 61.63% were female and 55.16% had at least one PIP, with 81.30% having one or two PIPs. Antithrombotic agents in patients with significant bleeding risk was the most prevalent PIP (23.98%), followed by the use of benzodiazepines (9.11%). Polypharmacy, extreme (>10 drugs) polypharmacy, hypertension and congestive heart failure were found as independent risk factors. PIP was prevalent and increased with (extreme) polypharmacy and specific cardiac disease. Comprehensive criteria like STOPP should be regularly used in clinical practice to identify PIPs to prevent potential harm.

DIBR–DOMBI–FUZZY MAIRCA Model for Strategy Selection in the System of Defense

Strategic management has applications in many areas of social life. One of the basic steps in the process of strategic management is formulating a strategy by choosing the optimal strategy. Improving the process of selecting the optimal strategy with MCDM methods and theories that treat uncertainty well in this process, as well as the application of other and different selection criteria, is the basic idea and goal of this research. The improvement of the process of the aforementioned selection in the defense system was carried out by applying a hybrid model of multicriteria decision-making based on methods defining interrelationships between ranked criteria (DIBR) and multiattributive ideal-real comparative analysis (MAIRCA) modified by triangular fuzzy numbers–“DIBR–DOMBI–Fuzzy MAIRCA model.” The DIBR method was used to determine the weight coefficients of the criteria, while the selection of the optimal strategy, from the set of offered methods, was carried out by the MAIRCA method. This was done in a fuzzy environment with the aim of better treatment of imprecise information and better translation of quantitative data into qualitative data. In the research, an analysis of the model’s sensitivity to changes in weight coefficients was performed. Additionally, a comparison of the obtained results with the results obtained using other multicriteria decision-making methods was conducted, which validated the model and confirmed stable results. In the end, it was concluded that the proposed MCDM methodology can be used for choosing a strategy in the defense system, that the results of the MCDM model are stable and valid, and that the process has been improved by making the choice easier for decision makers and by defining new and more comprehensive criteria for selection.

Predictors of College Academic Achievement for Medical Students: The Case of Gondar University, College of Medicine and Health Sciences, Ethiopia.

In Ethiopia, the University Entrance Exam (UEE) score is the only criteria for selecting prospective medical students entering the university system, disregarding their career choice motivation. A cross-sectional study design was conducted to identify medical students career choice motivation and predictors of college academic achievement at Gondar university, Ethiopia. The study was conducted on 222 medical students enrolled at Gondar University in 2016. A self-administered questionnaire was used to collect data on study participants demographic characteristics, career choice motivation, and informed career choice. Data on the UEE score and student's college academic achievement were collected from the university registrar. Descriptive statistics and regression analysis were used to analyze the data. Desire to help others as a medical doctor and prevent and cure diseases were mentioned as the first important career choice reasons by 147 (68.2%) and 135 (64.0%) study participants, respectively. The results of regression analysis showed that the UEE score was significantly associated with pre-clinical cumulative GPA (R2=.327, p<.05) and 5th year cumulative GPA (R2=.244, p<.05) respectively. The stepwise multiple regression revealed that UEE score, having prior knowledge about medical profession, positive experience in the medical school, and intrinsic career choice motivation significantly predicted 5th year cumulative GPA (p<.05). The high beta weight of 0.254 and 0.202 confirmed the strongest prediction to come from prior knowledge about the medical profession and positive experience in medical school, respectively. The UEE score is a significant predictor for medical students' academic achievement, but it should not be the sole admission criterion. We suggest that comprehensive admissions criteria covering both cognitive and non-cognitive factors, as well as informed career choice, be developed to select the best applicants in the future.

Transmission Line External Breakage Early Warning Method Based on Electric Field Perception

To prevent construction machinery from intruding into the transmission corridor during operation and causing damage to the normal operation of the line, this paper uses the relationship between the horizontal distance of the boom measurement point at the minimum safe distance, the angle of the boom to the ground and the field strength as a comprehensive criterion to carry out an early warning of the transmission line breaking. The method studied in this paper can provide a simple and accurate distance warning method for various types of construction machinery when they work in the vicinity of different types of transmission lines.

Pediatric Migraines: A Comprehensive Review and Perspectives on Diagnosis and Treatment.

Pediatric migraine (PM) is one of the most prevalent neurological disorders in children. It has numerous variants and the sufferers often present to emergency departments with a wide variety of signs and symptoms that make diagnosis difficult. The trend in diagnosing and managing PM cases remain suboptimal despite the comprehensive diagnostic criteria and various therapeutic options. In this review, we discuss PM, provide an approach to the diagnosis, and describe the various available management options. However, the diagnosis of migraine is based on history and physical examination; no specific diagnostic test is available. The main management aspects are acute pain relief, prevention, and identifying triggering factors.

Research trends and hotspots of post-stroke cognitive impairment: a bibliometric analysis.

Background: Post-stroke cognitive impairment (PSCI) is a major complication of stroke that affects more than one-third of stroke survivors, threatening their quality of life and increasing the risk of disability and death. Although various studies have described the etiology, epidemiology, and risk factors of PSCI, there are a limited number of comprehensive and accurate reports on research trends and hotspots in this field. Therefore, this review aimed to evaluate research trends, hotspots, and frontiers in PSCI using bibliometric analysis. Methods: We screened the literature spanning 20 years in the Web of Science Core Collection: Science Citation Index Expanded (SCI-Expanded) database from 1 January 2003 to 31 December 2022. We included all eligible literature reports based on our comprehensive search strategy, inclusion criteria, and exclusion criteria. The analysis of annual publications, countries/regions, institutions, journals, co-cited references, and keywords was conducted using CiteSpace and VOSviewer, and the hotspots and major findings of PSCI were summarized. Results: A total of 1,024 publications were included in this review. We found that the number of publications on PSCI increased annually. These publications were published in 75 countries or regions by over 400 institutions. Although Chinese institutions had the highest number of publications, their international influence was limited. The United States showed a strong influence in the field. The journal "Stroke" published the most publications (57) with a high impact factor and was considered the most co-cited journal. The most frequently cited references focused on the prevalence, incidence, neuropsychological assessment scales, criteria, and guidelines of PSCI. The strongest citation burst keywords for PSCI were "neurotrophic factor" and "synaptic plasticity", which were regarded as research focuses and research hotspots, respectively. Conclusion: This review provided a comprehensive summary of the literature of PSCI, identified the authoritative and frequently cited literature and journals, clarified the trends in PSCI research, and highlighted the hotspots in this field. Currently, studies on the mechanisms and treatment of PSCI are limited, and we hope that this review has effectively highlighted the research trajectory of PSCI and will lay the foundation for more innovative research in the future.

Comprehensive morpho-physiological criteria for screening bread wheat (Triticum aestivum L.) genotypes under drought stress condition

Comprehensive morpho-physiological criteria for screening bread wheat (Triticum aestivum L.) genotypes under drought stress condition

Comprehensive Benefit Evaluation of Power Grid Investment Considering Renewable Energy Development from the Perspective of Sustainability

To cope with the rapid development of renewable energy, the power grid system needs to invest in and construct transmission and distribution projects. Means of evaluating the economic, social, and environmental benefits generated by power grid investment are of great significance for enterprise cost recovery and government policy formulation. In this paper, an evaluation of the comprehensive benefit of a power grid investment considering renewable energy development from the perspective of sustainability is developed through the use of a hybrid multi-criteria decision-making (MCDM) method. The entropy weight method and fuzzy best worst method (BWM) are jointly employed to weight the comprehensive benefit criteria, which include economic, social, and environmental criteria and eight sub-criteria, and the measurement of alternatives and ranking according to compromise solution (MARCOS) method is utilized to evaluate the comprehensive benefit of a power grid investment. Five power grid investment projects for connecting renewable energy generation to a power grid in Ningxia, China, are selected as a case study, and the results indicate that the power grid investment project PGIP#1 has the largest comprehensive benefit (0.7099), followed by PGIP#3 (0.6800), PGIP#2 (0.6709), PGIP#5 (0.5959), and PGIP#4 (0.5861). The sensitivity analysis shows that the comprehensive benefit of PGIP#1 is always the best, indicating the robustness of the proposed method. By employing the proposed MCDM method to assess the comprehensive benefit of power grid investment projects, this research identifies outstanding projects which can provide guidance for the management of power grid investment and promote the sustainable development of the power industry.

The Effect of it Governance on the Relationship Between Corporate Social Responsibility and Performance in Iraqi Banks

Purpose: The purpose of this research is to understand the greater responsibility placed by various organizations on the social responsibilities of the organizations towards their stakeholders. It also aims to explore the Corporate Social Responsibility (CSR) for daily operations of organizations to fulfill their social responsibilities to society. Theoretical Framework: The study made assumptions based on in-depth review to investigate variables in Iraqi context. One of the comprehensive measurement criteria provided by Liao (2019) covers the three dimensions of effectiveness, efficiency, and consistency. Design/methodology/approach: The statistical population contains all listed companies on the Iraqi Stock Exchange between 2015 and 2021. The hypotheses were tested employing a multivariate regression model. The hypotheses of the study were tested using a sample of 168 observations from listed Iraqi banks from 2015 to 2021 and a multiple regression model based on the panel data technique of the random effects model. Findings: The results showed a positive and statistically significant relationship between social responsibility and bank performance. Also, information technology governance (ITG) moderates this effect. Additional methods (t+1, fixed effects, ordinary least squares) were employed to test the validity of the research models. Research, Practical &amp; Social Implication: As this is the first study to investigate this issue in emerging markets, it provides users, analysts, and legal bodies with valuable information regarding CSR, which substantially impacts banks' performance. Originality/value: The finding suggests several consequences of IT governances and its effects on corporate social responsibility which contributing to the development of knowledge.

Review of Impedance-Reshaping-Based Power Sharing Strategies in Islanded AC Microgrids

In islanded AC microgrids, loads are supplied by parallel inverters-based distributed generation (DG) units. Accurate power sharing, which is always degraded by the mismatched line impedances of DG units, is an essential mission. Reshaping the output impedance of DG units is an effective method to improve power sharing performance via eliminating the impedance mismatch. This paper classifies and summarizes various impedance-reshaping-based power sharing strategies. Firstly, the comprehensive evaluation criteria of the power sharing methods are illustrated in terms of power sharing accuracy, unbalanced and harmonic power sharing, influence on voltage regulation, dependence on communication and feasibility in practical applications. According to the operating principles, the existing impedance reshaping methods are categorized into four groups: fixed virtual impedance, adaptive virtual impedance regulation, impedance droops, and reconfiguration of inner loops. Then the advantages and disadvantages of the four groups of impedance reshaping techniques are discussed respectively. Finally, the characteristics of different impedance-reshaping-based power sharing methods are summed up and future research trends of impedance reshaping strategies for power sharing improvement in islanded AC microgrids are predicted.

A Contract for Rendering Paid Services in the Civil Law of Russia and France

The paper provides a comparative legal research on the regulation of relations for rendering paid services under civil laws of Russia and France. The authors note the significant influence of Roman private law on the formation of legal regulation of the relations under consideration in France. The paper explores the problems of differentiating legal regimes of works and services, as well as the admissibility of their convergence. It also analyzes the possibility of involving third parties in the performance of a contract for rendering paid services and pecularities of its termination, including termination in the case of impossibility of execution. The relevance of the research is explained by the fact that Russian legislation and law enforcement practice lack comprehensive criteria for differentiating between works and services, which affects the legal qualification of relations under consideration. In order to find a solution to this problem and ways to improve the quality of legal regulation of relations of providing paid services, the authors turn to the study of the French law and order. The authors come to the conclusion that French legislation allows for the convergence of legal and economic concepts of services. This approach makes it possible to combine into a special group all known contracts related to useful economic activity in favor of the customer, as well as to approach the issue of interrelation between the contract for rendering paid services and the works contracts. The analysis of the concept and legal regime of works and services allows us to distinguish two features — legal and factual — inherent in the works contract and paid services contract. Within the framework of specifics of the termination of the paid services contract, the authors investigate three problems: unilateral refusal to perform the contract, termination of the contract in the event of the death of the parties and the impossibility of its execution.

Dimensionality Reduction and Visualization in Public Management Research from the Perspective of Algorithm Recommendation

With the development of computer technology, algorithm recommendation systems have been widely used in intelligent transportation, urban planning, and other fields. Aiming at the current problems in public management in China, this paper proposes a dimensionality reduction calculation method, and uses the improved particle swarm optimization algorithm to analyze and evaluate the dimensionality reduction process. With the expectation of providing some reference value and ideas for solving practical application problems, a corresponding relationship equation is established with the minimum expected value as the objective function to solve the corresponding optimal solution, the evaluation results of system performance indicators and comprehensive scoring criteria under relevant parameters and constraints are given. The test results show that the visualization effect of the dimensionality reduction visualization model for public management research based on the algorithm recommendation perspective is over 90%.

A single-centre retrospective study of factors affecting steroid-free remission of immunoglobulin G4-related disease conducted in South Korea: A notable outcome after complete resection.

Few studies have examined factors affecting steroid-free remission (SFR) in patients with immunoglobulin G4-related disease (IgG4-RD). The aim of this study was to investigate clinical factors affecting SFR in IgG4-RD. The medical records of 68 patients who met the 2020 revised comprehensive diagnostic criteria for IgG4-RD were reviewed retrospectively. SFR was defined as remission maintained for at least 6 months without corticosteroids. Cox regression analysis was performed to examine the associations between SFR and various clinical factors. The relapse rate after SFR was examined using the log-rank test. After a median follow-up of 36 months, 30.9% (21/68) of patients with IgG4-RD achieved SFR. Multivariate Cox regression analysis revealed that IgG4-RD diagnosed by complete resection rather than by common diagnostic procedures was the only factor positively associated with SFR (hazard ratio, 7.41; 95% confidence interval, 2.23-24.60; P = .001). Furthermore, relapse after attainment of SFR was significantly less common in the group that underwent complete resection than in the group that did not undergo complete resection (log-rank P = .006). Patients with IgG4-RD diagnosed by complete resection had a higher likelihood of achieving SFR and a lower rate of relapse after attaining SFR.