Information Database Research Articles

BIM Technology and Sustainable Application Development of Green Building under New Evaluation Standard

Taking the integration of modern information technology and green building as the research background, we study the current status of BIM technology and green building development and application in the existing green building evaluation standard system, analyze the obstacles existing in the practical application of BIM technology in the whole life cycle of green building under the new global evaluation standard, and point out the direction of further research. The results of the study show that at this stage, BIM technology and green building-related regulations and systems are not yet sound, the evaluation standard system is not yet perfect, and there is a lack of organic synergy between each other,"Siloing" at certain points throughout the life cycle of a building. Green buildings are far away from the development and application of BIM technology and green buildings. The phenomenon of "isolated" in some stages of the whole life cycle of the building, some links appear as an "island" phenomenon, there is still a gap between green building and comprehensive coverage, and the widespread application of BIM technology needs to be promoted. In the future, the application research on sustainable development of green buildings based on BIM should be committed to further improve the relevant regulations, systems, and evaluation standards, create a core database of all relevant information in each stage of the whole life cycle of the building, realize the interactive sharing of information, implement the BIM integrated application mode, give full play to the advantages of the whole life cycle and integrated management of BIM, and integrate BIM technology with green building in a deeper way.

Development of the Secretariat Information System and Membership of the Tapak Suci Putera Muhammadiyah Using E-R Diagrams

Tapak Suci Putera Muhammadiyah has become one of the original martial arts schools in Indonesia that has become global. On the other hand, the globalization of information and communication is developing so rapidly that it is not supported by the optimal use of technology. The purpose of this study is to analyze the optimal triggers for the use of information technology for the development of the Tapak Suci Putera Muhammadiyah organization. This study uses a qualitative method with data collection techniques through interviews, observations, and literature studies. The analysis method using ERD (Entity Relationship Diagram) will form an information database. This research results that the information system on the official website to build the secretariat and membership of Tapak Suci by using the database resulting from the transformation of the E-R diagram will be faster, easier, and expected in accordance with the needs and expectations of users in getting clearer information

ASSESSMENT OF THE IMPACT OF FINANCIAL AND NON-FINANCIAL INSTRUMENTS ON EQUITY AND CASH FLOWS AS THE BASIS FOR DECISION-MAKING TO INCREASE ENTERPRISE MARKET CAPITALIZATION

The market capitalization of an enterprise is one of the key indicators that characterize the degree of influence of financial and non-financial instruments on its volumes and dynamics. Establishing the relationship between such instruments and metrics of equity and cash flows best outlines the plane of their direct impact on stimulating market capitalization and implementing effective management measures in the context of optimizing the use of equity and cash flows. The purpose of the study is to establish how the impact of indicators of financial and non-financial instruments on equity and cash flows forms an appropriate basis for making managerial decisions to increase the market capitalization of enterprises. As a result of the study, the toolkit for increasing the market capitalization of the enterprise from the standpoint of its grouping in terms of financial and non-financial plane was clarified. It was found that among the 36 analyzed indicators of the impact on equity and cash flows of the studied machine-building enterprises in Ukraine during the period 2010-2021, the most significant are bank lending, investment and technical metals, research and development costs, foreign scientific and technical services received, production investments, work-in-progress, and accounts payable for products, goods, and services. The results were transformed into a model of ranked instruments for stimulating the market capitalization of machine-building enterprises, which demonstrates the degree and directions of the influence of indicators of financial and non-financial instruments on the dynamics of equity and cash flows, which ensures the formation of an information database for making decisions on the further use of such instruments. The structuring of the toolkit serves as the basis for forming a system of management decisions containing practical recommendations within each group of instruments aimed at optimizing market capitalization through increased equity and cash flows of the enterprise. The obtained results will be beneficial to financial analysts of enterprises in preparing databases for making financial and non-financial decisions.

In silico study of RKD4 gene function in Coffea arabica L. and various cultivated plants related to embryo formation initiation

Arabica coffee supplies 60% of world coffee production because has a unique taste as superior quality beverage. Arabica coffee micropropagation can be conducted by somatic embryogenesis technique which produce clonal, fast dan uniform plant. The somatic embryogenesis (SE) process describes the integration of endogenous signals and gene reprogramming, which releases signals to initiate embryogenic processes. The use of endogenous auxin, either alone or in combination with other PGRs or stress, induces differential gene expression, which modifies the genetic program of somatic cells and regulates the transition to each stage during SE development. The RKD4 gene (RWP-RK DOMAIN-4) is a gene that plays a role in early initiation embryo formation and development. The characterization of RKD4 genes in C. arabica is still limited and under explored. The objective of this research is to explore the characteristics of RKD4 gene by comparing the difference and similarity of RKD4 gene in C. arabica and other cultivated plants. The method was initiate by identifying nucleotide sequences from the National Center for Biotechnology Information (NCBI) database. Furthermore, consists of analysis of nucletide alignment, alignment of amino acid sequences, protein analysis, protein motif functions discovery, analysis of phylogenetic tree, protein 2D and 3D-modelling and physiochemical properties. According to the analysis, there were 100 polymorphism points with a total number of mutations of 211 points. The phylogenetic tree show C. arabica L. has a very close relationship with grapes (Vitis vinivera) based on the RKD4 protein, gene structures and protein motifs. There are nine highly conserved motifs found in the protein alignment. C. arabica L. had more methyl jasmonate element responses than A. thaliana. The findings are useful to understand the intitiation of embryo formation mechanisms of C. arabica L and other cultivate plants during propagation through somatic embryogenesis in the long run.

Association between Exclusive Breastfeeding and the Incidence of Childhood Nephrotic Syndrome

ObjectiveTo assess the relationship between breastfeeding and the risk of developing nephrotic syndrome using a population-based nationwide birth cohort in Korea. Study designThis nationwide cohort study utilized data from the Korean National Health Information Database and the Korean National Health Screening Program for Infants and Children. The study included all children born between January 1, 2010, and December 31, 2018, who underwent their first health screening, which included a specific questionnaire on breastfeeding between 4 and 6 months of age. Associations between nephrotic syndrome and exclusive breastfeeding were estimated using adjusted hazard ratios (aHR) derived from Cox proportional hazards models, adjusted for sociodemographic variables, with follow-up until the occurrence of nephrotic syndrome, eight years post-index date, death, or December 31, 2022, whichever was first. ResultsThe study population comprised 1,787,774 children (median follow-up: 7.96 years; IQR: 6.31–8.00 years), including 612,556 exclusively breastfed and 1,175,218 formula-fed children. Exclusive breastfeeding was associated with a decreased risk of developing nephrotic syndrome (aHR: 0.80; 95% CI: 0.69 – 0.93). Subgroup analysis stratified by sex mirrored the overall findings, although statistical significance was not observed in girls (boys: aHR, 0.75; 95% CI, 0.62–0.92; girls: aHR, 0.87; 95% CI, 0.70 – 1.09). Sensitivity analysis confirmed these results. ConclusionExclusive breastfeeding was associated with a 20% reduced risk of developing nephrotic syndrome up to 8 years of age.

Impact of food price inflation on stunting in under five aged children in Bangladesh

BackgroundCurrently, food price inflation is a widespread issue in Bangladesh as well as the rest of the world. Malnutrition is a common issue among children that can have long-lasting effects on their development and overall health. There have been lots of studies conducted to identify the factors responsible for child malnutrition, but inflation is rarely considered a factor in child malnutrition. We aimed to determine the relationship between food price inflation and stunting (Height-for-Age Z-score (HAZ)) in children under five years of age in Bangladesh.MethodThe study utilized food price data from the World Food Programme database and malnutrition (stunting) information from the 2014 and 2017-18 Bangladesh Demographic Health Surveys (BDHS). This includes the total study period from 2009 to 2018. Food prices were linked to the BDHS dataset using each child’s birth month. For each child, the average food prices from 9 months prior to 5 months post-birth, including their birth month, were recorded to calculate month-to-month inflation. This inflation was computed for rice (coarse), oil, wheat flour, and lentils by comparing the price sum of each item from one month to the previous month and dividing by the total price of the preceding month. A generalized linear regression model was used to assess the relationship between food price inflation and stunting, with stunting as the dependent variable. Other explanatory variables included wealth index, sex of the child, height, weight, mother’s education, respondent’s current pregnancy, and breastfeeding status.ResultsOur study has revealed that food price inflation has a significant negative effect on stunting, with a coefficient of -0.127 (p < 0.001). Furthermore, we have identified several other factors that have also significantly negative associations with stunting, including the wealth index (p < 0.001), mother’s education level (p < 0.001), mother’s pregnancy status (p < 0.001), breastfeeding (p < 0.001), child’s age (p < 0.001). child’s weight (p < 0.001) has significantly positive effect on stunting. However, we did not find any significant differences in stunting between boys and girls.ConclusionIn conclusion, the findings of this study underscore the significant negative impact of food price inflation on child stunting, emphasizing the need to acknowledge this factor alongside others. These results highlight the critical role of addressing food price inflation as a key determinant of stunting, in conjunction with various other contributing factors, in efforts to combat childhood malnutrition.

Identify the most appropriate imputation method for handling missing values in clinical structured datasets: a systematic review

Background and objectivesComprehending the research dataset is crucial for obtaining reliable and valid outcomes. Health analysts must have a deep comprehension of the data being analyzed. This comprehension allows them to suggest practical solutions for handling missing data, in a clinical data source. Accurate handling of missing values is critical for producing precise estimates and making informed decisions, especially in crucial areas like clinical research. With data's increasing diversity and complexity, numerous scholars have developed a range of imputation techniques. To address this, we conducted a systematic review to introduce various imputation techniques based on tabular dataset characteristics, including the mechanism, pattern, and ratio of missingness, to identify the most appropriate imputation methods in the healthcare field.Materials and methodsWe searched four information databases namely PubMed, Web of Science, Scopus, and IEEE Xplore, for articles published up to September 20, 2023, that discussed imputation methods for addressing missing values in a clinically structured dataset. Our investigation of selected articles focused on four key aspects: the mechanism, pattern, ratio of missingness, and various imputation strategies. By synthesizing insights from these perspectives, we constructed an evidence map to recommend suitable imputation methods for handling missing values in a tabular dataset.ResultsOut of 2955 articles, 58 were included in the analysis. The findings from the development of the evidence map, based on the structure of the missing values and the types of imputation methods used in the extracted items from these studies, revealed that 45% of the studies employed conventional statistical methods, 31% utilized machine learning and deep learning methods, and 24% applied hybrid imputation techniques for handling missing values.ConclusionConsidering the structure and characteristics of missing values in a clinical dataset is essential for choosing the most appropriate data imputation technique, especially within conventional statistical methods. Accurately estimating missing values to reflect reality enhances the likelihood of obtaining high-quality and reusable data, contributing significantly to precise medical decision-making processes. Performing this review study creates a guideline for choosing the most appropriate imputation methods in data preprocessing stages to perform analytical processes on structured clinical datasets.

Different Associations between Lipid Levels and Risk for Heart Failure according to Diabetes Progression.

The relationship between circulating lipid levels and the risk for heart failure (HF) is controversial. We aimed to examine this association, and whether it is modified by the duration of diabetes or treatment regimens in people with type 2 diabetes mellitus. Individuals (n=2,439,978) who underwent health examinations in 2015 to 2016 were identified from the Korean National Health Information Database. Subjects were categorized according to the duration of diabetes (new-onset, <5, 5-10, or ≥10 years) and number of antidiabetic medications. Incident HF was defined according to the International Classification of Diseases, 10th Revision (ICD-10) code I50 as the primary diagnosis during hospitalization. The risk for HF was estimated using multivariate Cox proportional hazard analysis. During a median follow-up of 4.0 years, 151,624 cases of HF occurred. An inverse association between low-density lipoprotein cholesterol (LDL-C) levels and incident HF was observed in the new-onset diabetes group, with an approximately 25% lower risk in those with LDL-C levels of 100-129, 130-159, and ≥160 mg/dL, compared to those with levels <70 mg/dL. However, J-shaped associations were noted in the long-standing diabetes group, with a 16% higher risk in those with LDL-C level ≥160 mg/dL, compared to those with levels <70 mg/dL. Similar patterns were observed in the relationship between total cholesterol or non-high-density lipoprotein cholesterol and the risk for HF, and when subjects were grouped according to the number of antidiabetic medications instead of diabetes duration. Different associations between lipid levels and the risk for HF were noted according to disease progression status among individuals with diabetes.

Early Cleft Palate Repair is Associated With Lower Incidence of Velopharyngeal Insufficiency Surgery.

The timing of primary repair in nonsyndromic cleft palate remains controversial. Recent evidence suggests earlier repair is associated with a lower incidence of velopharyngeal insufficiency (VPI). The authors aim to evaluate these findings in a large cohort study using causal inference. All nonsyndromic cleft palate repairs in California were extracted between 2000 and 2021 from the California Health Care Access and Information (HCAI) database. Cases were linked with VPI surgery following cleft palate repair based on unique identifiers. The main outcome measure was incidence of VPI surgery evaluated with propensity score matching. Early cleft palate repair was defined as <7 months of age versus traditional cleft palate repair at >11 months of age. Standardized mean differences (SMD) were measured before and after matching for potential confounders including sex, race, payer, and distance from patient home to hospital. In all, 52,007 cleft palate repairs were included, of which 12,169 (23.3%) were repaired early and 39,838 (76.7%) were repaired traditionally. Early cleft palate repairs underwent VPI surgery in 1.2% (13/1,000) of cases, compared with 6.1% (61/1000) in the traditional repair cohort. Post-matching, the average treatment effect of early repair was a 6.3% reduction in VPI surgery (P<0.001, 95% CI -6.3, -5.4%). All covariate SMDs were <|0.1| after matching. Our cohort study demonstrates a significantly reduced incidence of VPI surgery in children with primary cleft palate repair <7 months of age. Craniofacial centers should consider early cleft palate repair in appropriate patients.

Community Privilege and Unplanned Surgery for Access-Sensitive Surgical Conditions.

We sought to define the association of privilege on rates of unplanned surgery and perioperative outcomes for access-sensitive surgical conditions. Social determinants of health (SDOH) are critical in influencing timely access to healthcare. Privilege represents a right, benefit, advantage, or opportunity that positively influences all SDOH. The California Department of Health Care Access and Information (HCAI) database identified patients who underwent abdominal aortic aneurysm repair, ventral hernia repair, or colectomy for colon cancer between 2017 and 2020 and was merged using ZIP codes with the Index of Concentration of Extremes, a validated measure of racial and economic privilege obtained from the American Community Survey. Clustered multivariable regression was performed to assess the association between privilege and outcomes. Among 185,316 patients who underwent a surgical procedure for one of three access-sensitive surgical conditions, roughly 1 in 5 individuals resided in areas with the highest (Q5; n=37,308; 20.1%) or lowest (Q1; n=36,352, 19.6%) privilege. Nearly one-half of the surgeries were unplanned (n=88,814, 46.9%), and colectomy for colon cancer was the most performed emergent procedure. Patients residing in the lowest privileged areas had higher rates of unplanned surgery compared with those residing in the highest privilege (Q1; 55.4% vs. 39.4%; referent: Q5; adjusted odds ratio [OR], 1.23, 95%CI 1.16-1.31; P<0.001). For each access-sensitive surgical condition, patients in the least privileged areas were more likely to experience higher rates of inpatient mortality (Q1; 3.1% vs. 2.1%; referent: Q5; adjusted OR, 1.41, 95%CI 1.24-1.60; P<0.001), perioperative complications (Q1; 30.4% vs. Q5; 23.8%; referent: Q5; adjusted OR, 1.24, 95%CI 1.18-1.31; P<0.001) and extended hospital stays (Q1; 26.3% vs. 20.1%; referent: Q5; adjusted OR, 1.16, 95%CI 1.09-1.22; P<0.001). Privilege was associated with rates of unplanned surgery and adverse clinical outcomes. This indicates the role privilege as a key SDOH that influences patient access to and quality of surgical care.

Ṯābit Ibn Qurrah's contributions to toxicology.

Mankind has been familiar with poisons since ancient times. On the other hand, there is a wealth of knowledge in the medical books including medieval works of Middle Eastern polymaths such as Avicenna, "al-Rāzī," and "Ṯābit Ibn Qurrah." This study presented and analyzed the knowledge of medical toxicology in one of the mainstay works of "Ṯābit Ibn Qurrah" entitled "al-Ḏaḫirah Fy Ꜥilm al-Tibb" also known as The Treasury of Medicine after the translation of the book from Arabic to English carefully and faithfully. Also, related toxicological literature was applied wherever required using English, Arabic, and Persian databases including Scopus, PubMed, Web of Science, WorldCat, Magiran, IranDoc, Scientific Information Database, Noor Mags, Noorlib, and Al Manhal. Our research revealed that chapter 25 of the mentioned book specifically focused on toxicology. This chapter was divided into sections on different aspects of toxicology from the categorization of poisons to compound mixtures causing poisonings to introducing blade poisons to signs and symptoms of poisonings, preventive approaches, and therapeutic agents. Specific antidotes and general therapies were introduced that included medicinal plants, cupping therapy, and bandages, just to name a few. Also, there were some monographs on the common poisonous agents and their treatments. The toxicological data of the book was comparable with modern toxicology. Our study highlighted the contributions of "Ṯābit Ibn Qurrah" to medical toxicology by authoring The Treasury of Medicine. Further research is recommended to elucidate the full aspects of the history of toxicology including the contributions of the past scholars.

Mapping OMOP-CDM to RDF: Bringing Real-World-Data to the Semantic Web Realm.

Real-world data (RWD) (i.e., data from Electronic Healthcare Records - EHRs, ePrescription systems, patient registries, etc.) gain increasing attention as they could support observational studies on a large scale. OHDSI is one of the most prominent initiatives regarding the harmonization of RWD and the development of relevant tools via the use of a common data model, OMOP-CDM. OMOP-CDM is a crucial step towards syntactic and semantic data interoperability. Still, OMOP-CDM is based on a typical relational database format, and thus, the vision of a fully connected semantically enriched model is not fully realized. This work presents an open-source effort to map the OMOP-CDM model and the data it hosts, to an ontological model using RDF to support the FAIRness of RWD and their interlinking with Linked Open Data (LOD) towards the vision of the Semantic Web.

Increased Hospital Encounters in Individuals With Spina Bifida Compared to the General Population: Statewide Health Care Utilization in California From 1995 to 2017.

Our goal was to understand health care utilization by comparing hospital encounters among individuals with spina bifida and the general population and to identify the factors associated with utilization. Using the Department of Health Care Access and Information database (1995-2017), individuals with spina bifida were identified and matched to controls by birth year. The primary outcome measures were the number of hospital encounters (stratified as ≤2 vs ≥3 encounters) and the time between the first and second encounters. Univariate, multivariate, and subgroup analyses were performed to identify factors associated with ≥ 3 encounters. When compared to controls, individuals with spina bifida had more ≥ 3 hospital encounters (69% vs 29%), spent more days in the hospital (58 days vs 13 days), and had a higher average charge per hospital stay ($433,537 vs $99,975) (P < .001 for all). After adjusting for covariates, we found that having spina bifida was associated with increased hospital encounters compared to controls (odds ratio 3.95, 95% CI 3.77-4.14, P < .001). Individuals with spina bifida were found to have less time between their first and second encounters (2.5 vs 3.3 years, P < .001). Within the spina bifida population, sex, race, ethnicity, comorbidities, and nonprivate insurance were associated with ≥ 3 encounters. Spina bifida is associated with more hospital encounters and fewer days between first and second encounters compared to the general population. These findings highlight factors driving increased utilization of resources, thereby empowering providers to better support this vulnerable population.

Universal health coverage saves more lives among severely ill COVID-19 patients: A difference-in-differences analysis of individual patient data in South Korea

BackgroundUniversal health coverage (UHC) ensures affordability of a variety of essential health services for the general population. Although UHC could mitigate the harmful effects of coronavirus disease 2019 (COVID-19) on patients and their socioeconomic position, the debate on UHC’s scope and ability to improve health outcomes is ongoing. This study aimed to identify the impact of UHC policy withdrawal on the health outcomes of South Korea’s severely ill COVID-19 patients.MethodsWe used a propensity score matching (PSM) and difference-in-differences combined model. This study’s subjects were 44,552 hospitalized COVID-19 patients contributing towards health insurance claims data, COVID-19 notifications and vaccination data extracted from the National Health Information Database and the Korea Disease Control and Prevention Agency from 1 December 2020 to 30 April 2022. After PSM, 2460 patients were included. This study’s exposures were severity of illness and UHC policy change. The primary outcome was the case fatality rate (CFR) for COVID-19, which was defined as death within 30 days of a COVID-19 diagnosis. There were four secondary outcomes, including time interval between diagnosis and hospitalization (days), length of stay (days), total medical expenses (USD) and the time interval between diagnosis and death (days).ResultsAfter the UHC policy’s withdrawal, the severely ill patients’ CFR increased to 284 per 1000 patients [95% confidence interval (CI) 229.1–338.4], hospitalization days decreased to 9.61 days (95% CI −11.20 to −8.03) and total medical expenses decreased to 5702.73 USD (95% CI −7128.41 to −4202.01) compared with those who were not severely ill.ConclusionsDuring the pandemic, UHC may have saved the lives of severely ill COVID-19 patients; therefore, expanding services and financial coverage could be a crucial strategy during public health crises.

Классификация отчетности о территории

The article analyzes the existing types of reports that form a database of information about the territory on the subject of their sufficiency and the possibility of efficient utilization. The results of the study show the need to bring accounting and statistical reports to a new level of consolidation on a territorial basis in order to meet the information needs of different categories of persons interested in the socio-economic development of the territory, region.

GMMID: genetically modified mice information database.

Genetically engineered mouse models (GEMMs) are vital for elucidating gene function and disease mechanisms. An overwhelming number of GEMM lines have been generated, but endeavors to collect and organize the information of these GEMMs are seriously lagging behind. Only a few databases are developed for the information of current GEMMs, and these databases lack biological descriptions of allele compositions, which poses a challenge for nonexperts in mouse genetics to interpret the genetic information of these mice. Moreover, these databases usually do not provide information on human diseases related to the GEMM, which hinders the dissemination of the insights the GEMM provides as a human disease model. To address these issues, we developed an algorithm to annotate all the allele compositions that have been reported with Python programming and have developed the genetically modified mice information database (GMMID; http://www.gmmid.cn), a user-friendly database that integrates information on GEMMs and related diseases from various databases, including National Center for Biotechnology Information, Mouse Genome Informatics, Online Mendelian Inheritance in Man, International Mouse Phenotyping Consortium, and Jax lab. GMMID provides comprehensive genetic information on >70 055 alleles, 65 520 allele compositions, and ∼4000 diseases, along with biologically meaningful descriptions of alleles and allele combinations. Furthermore, it provides spatiotemporal visualization of anatomical tissues mentioned in these descriptions, shown alongside the allele compositions. Compared to existing mouse databases, GMMID considers the needs of researchers across different disciplines and presents obscure genetic information in an intuitive and easy-to-understand format. It facilitates users in obtaining complete genetic information more efficiently, making it an essential resource for cross-disciplinary researchers. Database URL: http://www.gmmid.cn.

Association of Uterine Leiomyoma with Type 2 Diabetes Mellitus in Young Women: A Population-Based Cohort Study.

We investigated the association between uterine leiomyoma (UL) and incident type 2 diabetes mellitus (T2DM) in young women. A nationwide population-based cohort study of 2,541,550 women aged between 20 and 40 years was performed using the National Health Information Database. Cox proportional hazards models were used to analyze the risk of incident T2DM according to the presence of UL and myomectomy. The mean age was 29.70 years, and mean body mass index was 21.31 kg/m2. Among 2,541,550 participants, 18,375 (0.72%) women had UL. During a median 7.45 years of follow-up, 23,829 women (0.94%) were diagnosed with T2DM. The incidence of T2DM in women with UL (1.805/1,000 person-years) was higher than in those without UL (1.289/1,000 person-years). Compared with women without UL, women with UL had a higher risk of incident T2DM (hazard ratio, 1.216; 95% confidence interval [CI], 1.071 to 1.382). Women with UL who did not undergo myomectomy had a 1.505 times (95% CI, 1.297 to 1.748) higher risk for incident T2DM than women without UL. However, women with UL who underwent myomectomy did not have increased risk for incident T2DM. Young women with UL were associated with a high risk of incident T2DM. In addition, myomectomy seemed to attenuate the risk for incident T2DM in young women with UL.

Prediction of postoperative mortality in older surgical patients by clinical frailty scale: A systematic review and meta-analysis

AimsTo systematically evaluate the predictive efficacy of clinical frailty scale (CFS) for postoperative mortality older surgical patients, and to evaluate the prevalence of frailty in the included studies. DesignA systematic review and meta-analysis of observational studies was conducted, utilizing the MOOSE guidelines for the evaluation of both. Quality assessment of the articles was also performed. Data sourcesThe protocol was registered (CRD42023423552). Relevant English and Chinese language studies published until October 20th, 2023 were retrieved from PubMed, Web of Science, Embase, Medline, CINAHL,Cochrane, WAN FANG DATA, VIP Information, CNKI, and SinoMed databases. Review methodsStudy were included in which frailty was measured by the CFS and postoperative mortality was reported for older surgery patients. A meta-analysis to predict postoperative mortality and frailty prevalence was performed using STATA 17.0 software. ResultsSixteen cohort studies were included (5,864 participants) from 1,513 records. All studies' Newcastle-Ottawa Scale (NOS) scores were above 6 points. It was found that the prevalence of surgical frailty in the older was 0.36(CI 0.20–0.52). Patients assessed as frail by the CFS were associated with higher all-cause mortality (OR:4.01; CI 2.59–6.23). Subgroup analysis shows that frailty was associated with1-month mortality (OR:3.85; CI 1.11–13.45) and 1-year mortality (OR:4.43; CI 2.18–8.99). ConclusionsThe prevalence of frailty is high in older surgical patients, and CFS can effectively predict the mortality of older surgical patients with frailty.

Identification of prostate cancer associated genes for diagnosis and prognosis: a modernized in silico approach.

Prostate cancer (PCa) ranks as the second leading cause of cancer-related deaths in men. Diagnosing PCa relies on molecular markers known as diagnostic biomarkers, while prognostic biomarkers are used to identify key proteins involved in PCa treatments. This study aims to gather PCa-associated genes and assess their potential as either diagnostic or prognostic biomarkers for PCa. A corpus of 152,064 PCa-related data from PubMed, spanning from May 1936 to December 2020, was compiled. Additionally, 4199 genes associated with PCa terms were collected from the National Center of Biotechnology Information (NCBI) database. The PubMed corpus data was extracted using pubmed.mineR to identify PCa-associated genes. Network and pathway analyses were conducted using various tools, such as STRING, DAVID, KEGG, MCODE 2.0, cytoHubba app, CluePedia, and ClueGO app. Significant marker genes were identified using Random Forest, Support Vector Machines, Neural Network algorithms, and the Cox Proportional Hazard model. This study reports 3062 unique PCa-associated genes along with 2518 corresponding unique PMIDs. Diagnostic markers such as IL6, MAPK3, JUN, FOS, ACTB, MYC, and TGFB1 were identified, while prognostic markers like ACTB and HDAC1 were highlighted in PubMed. This suggests that the potential target genes provided by PubMed data outweigh those in the NCBI database.

Organization of Work on Collecting an Empirical Base for Clarifying the Biological Criteria of Sanity, Limited Sanity, and Insanity (Pilot Project)

The science of criminal law and forensic psychiatry do not draw clear boundaries between the biological criteria of sanity, limited sanity, and insanity. The paper is devoted to the consideration of the prospects for using modern achievements of neuroscience to clarify the boundaries of biological criteria of sanity, limited sanity, and insanity. The paper provides information on the current state of development of neuroscience in terms of research using neuroimaging methods of the brain of individuals committing criminal offenses. The feasibility of conducting relevant research in Russia is substantiated and an option for organizing such work in the form of a pilot project is proposed. In particular, it is proposed to create a single information database, which is supposed to reflect brief information about persons who have committed criminal acts, about the acts they are accused of, and the results of neuroimaging of the brains of these persons. Several stages of organizing work on collecting an empirical base to clarify the biological criteria of sanity, limited sanity, and insanity are identified and described. Particular attention is given to the issue of the legality of compulsory neuroimaging studies in relation to persons who have committed criminal offences.