Knowledge Update Research Articles

Teachers' and Students' Experiences on the Implementation of Individualized Education Programme for Students with Visual Impairments in Inclusive Secondary Schools

This study explored the experiences of teachers and students in implementing Individualized Education Programmes (IEPs) for students with visual impairment in Tanzania. The study employed a qualitative approach under case study design, situated at Shinyanga Secondary School in Kishapu district. A total of nineteen participants involved, including five special education teachers participated through interview and fourteen students with visual impairment participated through focus group discussion. The participants were selected purposively depending on their experiences in inclusive secondary school. The thematic analysis was used to analyse the data inductively. The study revealed three significant themes as experienced by the participants: the identification of the learning needs of students with visual impairment (VI), strategies to meet VI learning needs, and challenges during the implementation of the IEPs. The study found inadequate implementation of IEPs from the selected school due to several challenges, including informal strategies in identifying students with VI, irregular training for the IEP team and inadequacy of teachers of special education to accommodate the available students with VI. The study suggests that the identification of students with visual impairment needs to be formalized, regular knowledge updates for the IEP team, and a reduced workload for special education teachers. Although this research is confined to a single-school study, the findings can be used as a benchmark for the schools that face similar situations regarding IEP implementation

Impact of fit between knowledge potential and organizational routine updating on subsidiaries’ new product development performance

Purpose This study aims to examine new product development (NPD) performance to identify effective knowledge update strategies and assess the impact of environmental uncertainty on these dynamics. It aims to understand how different knowledge potentials and organizational routines interact to enhance product outcomes. The specific subsidiary context enriches understanding by identifying challenges and opportunities that are not typically visible in broader organizational studies. Design/methodology/approach A survey of 310 business managers was conducted to measure their knowledge potential and organizational routine updating. The hypotheses were tested using hierarchical regression analysis to determine the optimal combinations of knowledge and practice updates for NPD performance. Findings Results indicate that both knowledge potential and organizational routine updating significantly enhance subsidiary performance. Specifically, knowledge accumulation paired with routine creation and knowledge difference paired with routine revision optimally boosts product development. Moreover, this study reveals an inverted U-shaped relationship between environmental uncertainty and the effectiveness of these combinations, suggesting a complex interplay that affects NPD performance. Originality/value This study enhances understanding of NPD performance by integrating resource concordance theory with empirical analysis of knowledge and organizational strategy adaptations. It underscores the moderating role of environmental uncertainty, offering new theoretical insights into enhancing product development performance. Although the focus on subsidiaries limits broader applicability, it provides valuable insights into the nuanced NPD dynamics in these specific entities, suggesting avenues for future research to expand this study’s findings across different organizational types.

The Importance of Training Rescue Teams in Medical Emergencies: a Systematic Review of the Literature

Objective: To investigate, based on scientific literature, the importance of training rescue teams in medical emergencies. Theoretical Framework: Training rescue teams in medical emergencies is essential to ensure effective care in critical situations. This process involves simulating emergency scenarios, allowing professionals to practice quick decisions under pressure and strengthen team communication and coordination. Constant updating of knowledge is vital due to the continuous evolution of medical practices, while theoretical training in anatomy, pharmacology and the use of emergency equipment complements practical skills. Method: A systematic literature review, in which the search was carried out on Google Scholar and in the PubMed, Scopus and Web of Science databases, which resulted in the identification of qualitatively analyzed studies and, where possible, in a meta-analysis. Results and Discussion: The results obtained revealed that adequate training not only improves responsiveness and the standardization of procedures, but also contributes to the safety and quality of care, as well as generating confidence in professionals. In the discussion section, these results are contextualized in the light of the theoretical framework, highlighting the implications. Research Implications: The practical and theoretical implications of this research are discussed, providing insights into how the results can be applied or influence practices in the field of urgent and emergency care. Originality/Value: The study incorporates pertinent theories, corroborating the literature through contributions to practice in the face of rescue care in medical emergencies.

The main motivational and value attitudes of pediatricians in choosing a vocation

Introduction. Determining the trajectory of a future career and understanding one’s occupational mission imposes responsibility on the life in the individual and society as a whole. Among many vocations, one of the most difficult, not only in terms of maste­ring, the need for constant updating of special knowledge, but also because of many moral and ethical aspects, is the occupation of a doctor. The purpose of the work is to identify the leading factors of motivation for professional self-determination of pediatricians. Materials and methods. One hundred six pediatricians practicing in Moscow, graduated from 35 medical universities of the country took part in the work. An online questionnaire was used for sociological analysis. The respondents were selected using the “snowball” method. Results. Leading factors encouraging the choice of pediatrics as a an vocation were found to be the interest of the person himself in the profession (67%) and the opportunity to help people (19.8%). This indicates the psychological motives of a person in choosing a profession to dominate over social motives. The prestige of the profession and the influence of parents are not considered the main motives for choosing (4.7% and 2.8%, respectively). Most of the pediatricians surveyed (63.2%) are completely satisfied with their chosen profession, which indicates a conscious decision at the time of admission and a desire to develop further within the chosen vocation. Due to their own choice, 95.3% of respondents plan to work in pediatrics in the future. 64.2% of respondents see the main benefit for other people and society in improving children’s health. Conclusion. The dominant motives of professional self-determination of pediatricians, determining the choice of a future specialty, are personal conscious goal-setting in choosing a medical vocation and the opportunity to help children. Working as a pediatrician guarantees a high degree of satisfaction from the chosen path and daily activities.

Enhancing Front‐End Security: Protecting User Data and Privacy in Web Applications

ABSTRACTConducting research on this subject remains relevant in light of the rapid development of technology and the emergence of new threats in cybersecurity, requiring constant updating of knowledge and protection methods. The purpose of the study is to identify effective front‐end security methods and technologies that help ensure the protection of user data and their privacy when using web applications or sites. A methodology that defines the steps and processes for effective front‐end security and user data protection is developed. The research identifies the primary security threats, including cross‐site scripting (XSS), cross‐site request forgery (CSRF), and SQL injections, and evaluates existing front‐end security methods such as Content Security Policy (CSP), HTTPS, authentication, and authorization mechanisms. The findings highlight the effectiveness of these measures in mitigating security risks, providing a clear assessment of their advantages and limitations. Key recommendations for developers include the integration of modern security protocols, regular updates, and comprehensive security training. This study offers practical insights to improve front‐end security and enhance user data protection in an evolving digital landscape.

Importancia de la acreditación de la educación superior en el Ecuador

Accreditation of higher education in Ecuador takes on a paramount significance for the development of academic activities. This study focuses on the distinction between evaluation and accreditation, emphasizing their relationship. The accreditation in Ecuadorian higher education is addressed, considering parameters such as teaching, research, and engagement with society, highlighting its relevance. The employed method centers on the construction and analysis of the Referential Framework, playing a crucial role in providing a clear and accessible understanding of the research topic. The results underscore the importance of continuous training and knowledge updates in university education, especially in an environment characterized by constant changes. In conclusion, the need for implementing continuous evaluation processes at all levels of the educational institution is emphasized.

The approach to experiential learning by David Kolb and its influence on the development of professional competencies in leadership

This study investigates the application of David Kolb's experiential learning theory in the development of leadership competencies in corporate contexts, focusing on how different learning styles influence the effectiveness of training programs. The research analyzes the four learning styles identified by Kolb — divergent, assimilator, convergent, and accommodator — and evaluates their impact on the improvement of the skills of leaders in training. By adapting these styles to leadership training, the study demonstrates that recognizing individual learning preferences can lead to a more effective personalization of development programs. This personalization facilitates the updating of knowledge and the practical application of acquired competencies. The study highlights that considering the diverse learning tendencies of leaders provides a foundation for designing corporate training programs more tailored to specific skill development needs. Based on principles of cognitive and developmental psychology, Kolb's theory can offer a solid theoretical framework for building leadership training programs, promoting the development of professional competencies.

Antibiotic use and resistance: knowledge, attitudes and practices in Italian healthcare workers

Abstract Background Antimicrobial resistance (AMR) is one of the most significant public health challenges globally. The misuse or incorrect use of antibiotics has led to the emergence of resistant bacteria, making it increasingly difficult to treat infections. This study aims to identify knowledge, attitudes, and practices among Italian healthcare workers (HWs) - medical doctors (MDs) and nurses - regarding antibiotics, antibiotic use, and antibiotic resistance. Methods Cross-sectional study; a validated questionnaire from the European Centre for Disease Prevention and Control was distributed via web survey starting from April 2024 to a voluntary sample of healthcare workers employed in Italy. Descriptive analysis and multivariable logistic regression were performed to investigate predictors of knowledge regarding antibiotic use and AMR. Ethical approval was obtained from the local ethics committee. Results So far, 154 HWs were enrolled, of which 132 were nurses (85.7%). The average level of knowledge regarding AMR and antibiotic use was 6.8/7 (± 0.2) for MDs and 6.1/7 (± 0.2) for nurses, with an overall score, among HWs of 6.19 (± 0.99), compared to a European average of 6.35. The multivariable analysis highlighted that the medical profession reported higher knowledge regarding prudent antibiotic use and AMR (aOR 6.90; 95% CI 1.83-26.01, p-value = 0.004), while concerning professional practice, the unavailability and difficulty of access to guidelines seemed to increase the risk of reporting inadequate knowledge (aOR 2.04; 95% CI 1.01-4.13, p-value = 0.046). Conclusions Our preliminary results provide an insight into the importance of structuring and actively disseminating procedures/protocols and guidelines to deepen the issues of AMR and prudent antibiotic use. Also, there appears to be a need to enhance the delivery of refresher courses targeting HWs, with particular attention to settings at high infection transmission risk. EU funding: Project no. PE00000007, INF-ACT. Key messages • Although a higher knowledge about prudent antibiotic use and AMR, more efforts are needed to increase access to guidelines. • Constant updating of knowledge and practices is necessary to face the challenges of antibiotic resistance in public health.

Enhancing few-shot lifelong learning through fusion of cross-domain knowledge

Humans can continually solve new problems with a few examples and enhance their learned knowledge by incorporating new ones. Few-shot lifelong learning (FSLL) has been presented to mimic human learning ability. However, they overlook the significance of cross-domain knowledge and little effort has been made to investigate it. In this paper, we explore the effects of cross-domain knowledge in FSLL and propose a new framework to enhance the model’s ability by fusing cross-domain knowledge into the learning process. Moreover, we investigate the impact of both debiased and non-debiased models in the FSLL context for the first time. Compared with previous works, our setting presents a unique challenge: the model should continually learn new knowledge from cross-domain few-shot data and update its existing knowledge by fusing new knowledge throughout its lifelong learning process. To address this challenge, the proposed framework focuses on learning and updating while migrating the well-known issues of forgetting and overfitting. The framework comprises three key components designed for learning cross-domain knowledge: the Debiased Base Learning strategy, Knowledge Acquisition, and Knowledge Update. The superiority of the framework is validated on mini-ImageNet, CIFAR-100, OfficeHome, and Meta-Dataset. Experiments show that the proposed framework exhibits the capability to perform in cross-domain situations and also achieves state-of-the-art performance in the non-cross-domain situation.

Diapedesis leading to hematidrosis due to abrupt emotional suffering (Review).

Hematidrosis constitutes a rare imposing phenomenon encountered millennia ago. It involves the plexus of small, mostly superficial arteries, veins and sweat glands of various parts of the human body. Bloody sweat implies skin pathology. It has been connected to psychogenic impairment and lacks a clear etiology. The present study conducted a historical review using the Thesaurus Linguae Graecae®, Gallica-BNF and Google Books databases. The year 1900 was the mark for full-text works to be included. A second review of the modern literature, over the last 20 years, was carried out using the PubMed/MedLine database. In both eras, the terms h[a]emat[h]idrosis, diapedesis, sudor sanguineus, plus various others vocables of Hellenic and Latin origin, were used as key words. Cases of persons suffering hematidrosis during stigmata as partly connected to this study were surveyed and discussed separately. References were obtained from the classical Greece, late Hellenic antiquity and Roman era. A number of 70 cases were registered from the Renaissance to 1900, and 44 cases between 2007 and 2022. The later time interval is considered as the selection of references of all time, while the 1870 to 1884 interval followed. Differences in sex were observed (males, 60.6%; and females, 39.4%; vs. males, 25.6%; and females, 74.4%). The scalp, forehead, face, trunk, arms and legs were the most common areas of appearance in both time intervals. The eyes and ears were the most common areas of appearance in the modern era. As regards the limitations of the present review, it should be emphasized that not all historical cases were available for survey. Stigmata were studied independently. Records in etiology hypothesis, pathological description and the manifestation of a cluster of post-triggering effects described were similar over time. The modern way of life, major stressful events, a fear of death, hematological disorders, vessel derangements and deep faith may trigger hematidrosis. This spectacular acute event stimulates alertness in patients, family, caregivers and physicians, and may lead to social isolation and unnecessary diagnostic and/or therapeutic interventions. The present narrative review aimed to connect science with history and religion, promote contemplation among health professionals and highlight a medical peculiarity. An open mind is warranted in order to comprehend phenomena in religion. Education for the family and a knowledge update for health professionals is also necessary.

CoMaSa:Context Multi-aware Self-attention for emotional response generation

Dialogue generation is an important research direction in natural language generation, and generating utterances with appropriate contextual emotion is a challenging task. The previous work incorporates commonsense knowledge as an auxiliary information source by simply concatenating or adding it to the embeddings of the dialogue context. They did not consider updating the commonsense knowledge from the perspective of context semantic information or selecting context from the perspective of commonsense knowledge semantic information. At the same time, they did not extract emotional information from dialogue context and commonsense knowledge to enhance the embeddings of the dialogue text. These defects may lead to the dialogue model’s inability to judge the semantic consistency between context and generated utterance, and result in the generation of utterance unassociated with the dialogue context and the corresponding context emotion being untrue. Our goal is to build an emotional dialogue generation model that can deeply integrate commonsense knowledge with dialogue context and achieve bidirectional semantic interaction and enhancement. Therefore, in this paper, we propose a context multi-aware self-attention emotion dialogue generation model that models from multiple aspects such as the semantic information, emotional information of context and external knowledge, it effectively alleviates the problems of generating utterance unrelated to the context and disordered emotional expressions in utterance. First, we adopt the transformer encoder as the basic framework and carefully construct a context-aware encoder capable of deeply extracting semantic information. Specifically, we ingeniously integrate different levels of positional information to simulate the natural flow of conversation between speakers. Then, we effectively integrate these positional information with the basic word embedding vectors, and enrich the dialogue’s embedding representation. Lastly, by introducing the attention mechanism, the model can precisely capture and extract context information closely related to the current situation and achieve a deep understanding and accurate grasp of the dialogue content. Second, we consider that the relationship between context and commonsense knowledge is not just a unidirectional selection but a more intimate bidirectional interaction. Therefore, we designed a bidirectional interaction attention component for context and external knowledge. Specifically, we use the method of iterative similarity matrices to calculate the bidirectional similarity relationship between context and external knowledge. Then, using the attention algorithm, we calculate the connectivity from context to commonsense knowledge and from commonsense knowledge to context. Finally, by combining the semantic embeddings of both aspects, we achieve bidirectional updating of context and external knowledge. Third, we establish an emotion-aware decoder based on multi-task learning, which includes an emotion classifier and an utterance generator. In the emotion classifier, we establish an auxiliary task for emotion recognition to help the model understand the process of emotional transition. We use the output of the emotion recognition model as an additional supervisory signal to better control the generation of emotional responses. In the utterance generator, we integrate the output of the emotion classifier with the interaction vector from the bidirectional interaction attention component. This fusion allows us to generate utterance that aligns with the emotional context. Our experiments on DailyDialog and ESConv datasets show that CoMaSa outperforms the baselines in terms of Perplexity, Distinct-1, Distinct-2, and human evaluation. The experiment demonstrates the effectiveness of our Context Multi-aware Self-attention model in the task of emotion generation.

The Software Artifacts as Knowledge Products: A Systematic Review

Software industry organizations use different knowledge that can be consolidated, as in the case of a software artifact. A software artifact represents all organizational knowledge, as well as a knowledge product, once it has the same purpose as a software artifact in those organizations. However, these organizations face difficulties to update both software artifact and knowledge products continuously. So, this article aims to identify and understand the state of the art of adaptable software artifacts as knowledge products within software industry organizations. Therefore, we carried out a systematic literature review using searches in scientific digital databases. Our results point out 51 articles grouped into six categories according to their respective goals: explicit knowledge, in the most diverse forms; overview of the software industry; knowledge products; adaptive software artifacts; explicit knowledge within organizations of the software industry; and knowledge products in organizations of the software industry. Thus, these categories sought to group related issues; however, none of them presented a clear relationship on adaptive software artifacts as knowledge products within software industry organizations. However, the main finding of this research concerns the support of adaptable software artifacts backing the registration, storage and updating of organizational knowledge. That occurs since such organizations are inserted in the context of several technological changes, in which such adaptable software artifacts would be a support to keep the knowledge available and updated.

Leveraging the use of a social media app as a collaborative medical information and knowledge sharing tool—insights from experiential use and survey of a CME WhatsApp community

Background and aimContinuing Medical Education (CME) is crucial for physicians to stay current in the rapidly advancing field of medicine. A WhatsApp (WA) based community of physicians was initiated in 2016 ‘WhatsApp CME India Group’ to facilitate learning, knowledge sharing, and discussion among physicians. Due to participant size constraints of the technology, it evolved into seven distinct WA groups, overseen by a central administrator. A survey undertaken in the group’s 7th year aimed to evaluate its effectiveness in achieving its goals, measure participant engagement, and uncover the primary factors driving its usage.MethodsThe survey questionnaire was distributed to 3500 members across the 07 WhatsApp CME groups for voluntary participation. Data collected was analysed using SPSS version 24.0 (SPSS Inc., Chicago, IL, USA) and reported using descriptive statistics.ResultsAmong the 581 survey respondents, the study found 43% of physicians use the WhatsApp academic groups for CME content, with 32% accessing their group over four times daily. The primary motivation for 77% was to discuss challenging cases and to gain knowledge updates from fellow physician (70%). Medical websites (57%), referral books (49%), and Google (43%) were other significant resources. Every participant (100%) found the WhatsApp CME India group the most beneficial resource for daily medical science updates. A significant portion (57%) of the respondents found the group valuable for real-time information exchange. Over 78% stated it kept them current with knowledge and guidelines. Notably, 94% viewed WhatsApp CME as complementary to physical conferences, not a replacement. The post-conference/webinar summaries were appreciated by 81% participants. Case discussions (31%) and update posts from fellow physicians sharing their insights and learnings (24%) were noted as activities of great academic interest.ConclusionThis study underscores the potential of digital platforms like WhatsApp in supplementing CME in India and potentially other comparable settings. The blend of digital and traditional resources suggests a balanced learning approach. While real-time engagement is a strength, challenges like information overload and privacy concerns require careful management. Striking a balance is crucial for ensuring content quality, structured discussions and privacy. As the digital age advances, professionals must critically assess shared information on these platforms to guarantee evidence-based and reliable knowledge dissemination.Trial registrationARK 001.

Community-Based Resilience Analysis (CoBRA) to Hazard Disruption: Case Study of a Peri-Urban Agricultural Community in Thailand

The expansion of cities and land use changes have led to the emergence of peri-urban areas representing a transition between fully urbanized and agricultural regions in Southeast Asia. Peri-urban communities provide essential ecosystem services but are vulnerable to climate-related disruptions and socioeconomic challenges. Utilizing their unique characteristics, peri-urban communities can contribute to sustainable development and resilience. This study assesses the potential of peri-urban areas to meet future challenges for sustainable development in a changing world, focusing on the local pandan farming community of Pathum Thani, approximately 53 km north of Bangkok, using the Community-Based Resilience Analysis (CoBRA) approach. A formally established group of peri-urban farming households identified COVID-19, water quality, and solid waste as their primary disruptive challenges. The community identified economic stability and resources (land ownership, financial security, and government support), community and social support (collaborative community, and healthcare facilities), an environmental dimension (sufficient food and clean water), and an information dimension (news and knowledge update) as key community resilience characteristics, which highlight their comprehensive approach to hazard resilience. The study concludes that the community was moderately resilient to hazards and COVID-19 was the primary disrupting event over the past 10 years. To address future challenges in peri-urban agriculture, it is suggested to focus on enhancing economic diversification, strengthening social networks and support systems, implementing sustainable land management practices, and promoting access to timely and accurate information. Additionally, investing in infrastructure for water management and waste recycling, supporting small-scale farming initiatives, and fostering collaboration between farmers and local authorities can contribute to building resilience in peri-urban agricultural communities.

Implications of Digitalization on the Persistence of Startups

Digitalization is a transformative phenomenon catalyzing innovative paradigms and operational methodologies within the realm of business, with a pronounced impact on nascent enterprises, notably startups. The aim of this paper is to ascertain the influence of digitalization and the effects of the different sociodemographic variables, both internal and environmental, as key driving elements in the probability of a company’s success and as indicators of business persistence and growth. Taking a representative sample of entrepreneurs from the Community of Madrid, Spain, a statistical structural equation model (SEM) is built. The results show the importance that the degree of adaptation of the startup to digitization acquires in persistence, the effort to generate inter-entrepreneurship within the company, the preparation of the promoting team, their work skills, good practices, and the influence of environmental variables. This study contributes to dispelling the great uncertainty that afflicts entrepreneurs and making them understand the importance of innovation, training, and continuous updating, expansion, and renewal of knowledge and especially the value of learning about applications of new technologies, the transformation of processes within a business model, and the correct adaptation to an environment that is constantly changing.

Which droughts are becoming more frequent? A copula entropy analysis on the return period of droughts in Europe

AbstractClimate change and global warming have increased the frequency of extreme events, particularly over the past decades. Changes in drought frequency are not yet understood, especially regarding which drought features are becoming more frequent (e.g., are longer or high-magnitude droughts becoming more frequent, or both?). In this study, we present a novel methodology to accurately and consistently estimate changes in return periods of different types of droughts. For this purpose, we implemented copula-entropy theory to assess drought frequencies and their changes. As an example of the application of the proposed method, we used data from the European Climate Assessment and Dataset (ECA&D), from which we selected 26 stations in Central Europe with over 100 years of data and low incidence of missing days ($$\le$$ ≤ 0.3%). The results of the new analysis indicate that there was a high variability in the frequency change patterns across Central Europe over the last century; however, most regions have experienced an increase in the frequency of medium-to-high intensity droughts. The use of the copula-entropy theory to assess drought frequency is a reliable method that allows systematic monitoring and easy updating of current knowledge, and is computationally efficient and statistically robust.

Novel parton density determination code

We introduce our novel Bayesian parton density determination code, artonensity.jl. The motivation for this new code, the framework, and its validation are described. As we show, artonensity.jl provides both a flexible environment for the determination of parton densities and a wealth of information concerning the knowledge update provided by the analyzed dataset. Published by the American Physical Society 2024

Environmental Food Contaminants and Control Recommendations

Environmental contaminants are considered a significant food safety risk. The rising population increased food production and industrialization have accentuated the importance of addressing food contamination. The primary causes of these contaminants in food include agricultural practices, industrial activities, waste management, and air and water pollution. Contamination can occur at various stages of the food chain and can reach consumers. Various strategies and measures are recommended to prevent and control environmental food contaminants. In this regard, appropriate production systems, the improvement of agricultural practices, and the monitoring of food production systems crucial. Governments and international organizations also play a role in establishing and enforcing food safety standards concerning environmental contaminants. In conclusion, this brief review addresses significant environmental contaminants such as heavy metals, dioxins, microplastics, nitrite-nitrate, PCBs, and melamine, and highlights potential health issues. Continuous updating of knowledge and strategies in this field through future research and development is essential.

Национальные клинические рекомендации по диагностике и лечению Ph-негативных миелопролиферативных новообразований (истинной полицитемии, эссенциальной тромбоцитемии, первичного миелофиброза) (редакция 2024 г.)

The development of National clinical guidelines on diagnosis and treatment of Ph-negative myeloproliferative neoplasms provides the knowledge basis for decision making in diagnosis, therapy, prevention, and rehabilitation in compliance with evidence-based medicine principles in order to ensure appropriate medical care in a particular clinical setting. The clinical guidelines underly the choice of optimal methods of diagnosis, therapy, prevention, and rehabilitation as part of a patient’s medical care, the development of criteria for the assessment of medical care quality, medical care standards, medical care procedures, setting standards on equipment and management of diagnostic and therapeutic procedures, and provision of continuous medical education and advanced training for healthcare professionals. In 2013, a working group was formed to develop and formulate clinical guidelines on the treatment of myeloproliferative neoplasms. These guidelines were first published in 2014, afterwards they were revised and republished. The dynamic development of current hematology presupposes constant updating of knowledge and implementation of new diagnosis and treatment methods in clinical practice. In this context, clinical guidelines present a dynamic document to be continuously amended, expanded, and updated in accordance with scientific findings and new requirements of specialists who are directly involved in treatment activities. The present edition is an upgraded version of clinical guidelines with updated information on classification, diagnosis, prognosis, current methods of therapy, and their efficacy and tolerability assessment. The guidelines are intended for oncologists, hematologists, healthcare executives, and medical students.

Validation of article analysis by ChatGPT: Using a cohort of patients with EGFR mutation-positive non-small cell lung cancer treated with first-line osimertinib.

e20542 Background: The rapid advancement of large language models like ChatGPT has shown potential in various fields, including medicine. However, their applicability in clinical practice, especially in complex medical knowledge interpretation, remains unclear. This study developed a framework for article analysis, retrieval of additional information, and knowledge updating using ChatGPT and tested its clinical validity by comparing it to clinical data. Methods: To simplify the prompt to ChatGPT by selecting monotherapy, patients with EGFR mutation-positive non-small cell lung cancer (NSCLC) who had received 1st -line treatment with Osimertinib, were included in this study. ChatGPT analyzed published FLAURA trial data and developed a scoring system for predicting treatment efficacies for comparison with clinical data. Treatment efficacies were evaluated by using progression-free survival (PFS) and overall survival (OS). ChatGPT searched for papers needed to update the scoring system and extracted 5 papers. To reduce the bias of the search, the extraction of papers by ChatGPT was repeated 10 times and the top 5 papers were selected. The revised scoring system, incorporating insights from these 5 papers, was applied to data from Shizuoka Cancer Center (1st-line osimertinib initiated during 2018-2022.3). The clinical validity of analyses by ChatGPT was evaluated in terms of whether the scoring system reflects clinical practice. Analysis with ChatGPT was performed using GPT4 and natural language prompts. Results: Based on the FLAURA study, ChatGPT created a scoring system consisting of the following items: EGFR mutation type, presence of CNS metastasis, smoking history, sex, and performance status (PS). ChatGPT extracted two prospective studies and three retrospective studies. The scoring system, updated by ChatGPT included EGFR mutation type: exon 19 del /L858R (3/1point), sex: female/male (2/1), smoking history: never-smoker/smoker (2/1), CNS metastases: without/with (2/1), PS 0/1/2/3/4 (2/1/0/-1/-2), age: < 75/≥ 75 years (2/1) PD-L1 expression < 50%/≥ 50% (2/0); liver metastasis, without/with (2/0). Group A showing better efficacies to treatment was defined as patients with a cutoff value of 11 or higher. The scoring system was fitted to validate cohort (140 patients without missing scoring system items). Group A (n = 98, ≥11points) outperformed Group B (n = 42, < 11) in both PFS and OS (medianPFS 22.6 months vs. 9.7 months HR 0.32, 95% CI 0.20-0.50, p < 0.0001, medianOS 54.4 months vs. 21.7 months HR 0.28, 95%CI 0.16-0.49, p < 0.0001). Conclusions: The scoring system created by using ChatGPT reflected the efficacies in a cohort of EGFR-positive NSCLC patients treated with 1st-line osimertinib. The framework for article analysis, retrieval of additional information, and knowledge update using ChatGPT is potentially applicable to other cohorts.