Nursing education has undergone a significant transformation as a result of artificial intelligence (AI). Chatbots, specifically ChatGPT, have emerged as vital AI technologies within the nursing domain as it is a computer program designed to simulate human conversation through text or voice interactions. This study aims to conduct a bibliometric analysis to gain insights into the publication trends, citation impact, and thematic evolution in nursing education and practice concerning ChatGPT and chatbots. A comprehensive bibliometric analysis was performed using VOSViewer, concentrating on citation networks for data analysis and visualisation. A review of LENS.org identified 344 relevant research publications regarding chatbots and ChatGPT within the nursing discipline, all of which were utilised in the study. The study examined various aspects, including types of publications, prominent authors, leading journals, participating nations, institutions, and the impact of ChatGPT on nursing practice. The primary objectives included categorising the papers, identifying the most influential authors, delineating the prominent areas and institutions in the field, and examining the impact of ChatGPT on nursing education and practice. The findings indicate that ChatGPT positively impacts nursing education by enhancing learning experiences, improving communication, and aiding clinical decision-making. The findings indicate that journal articles accounted for 76% of publications, with the U.S. leading in research output. The findings indicate that ChatGPT positively impacts nursing education by enhancing learning experiences, improving communication, and aiding clinical decision-making. Future research should focus on establishing frameworks for integrating ChatGPT into nursing education, addressing ethical implications, and assessing the long-term impacts on patient care.

Purpose: Adjuvant radiotherapy (RT), while effective in reducing cancer recurrence and improving survival rates, often comes with radiation toxicity that can adversely affect the patient’s quality of life (QoL). Evaluating toxicity after RT is crucial because it helps to identify and manage adverse effects that can significantly impact a patient’s QoL. By monitoring toxicity, we can adjust treatment plans to mitigate these effects, improve patient comfort, and ensure a better overall outcome. Therefore this study aimed to evaluate and compare QoL following 3D-conformal hypofractionated RT in breast cancer patients. Methods: We included twenty-one Malaysian women with unilateral breast cancer treated with lumpectomy (n=15) or mastectomy (n=6) followed by 3D-conformal hypofractionated RT. QoL was evaluated using the EORTC QLQ-BR45 questionnaire before, during, and after RT. Results: During RT, there was a significant increase in the mean score of the breast symptoms scale compared to baseline (p=0.002), with the most common symptoms being skin problems, followed by swelling and oversensitivity. However, these symptoms were generally mild for most patients. The other quality of life scales remained stable during RT. Post-RT, most QoL scales showed improvements compared to both baseline and during RT, with significant enhancements in the mean breast symptoms score and breast satisfaction score (all p<0.05). Conclusion: Radiotherapy negatively impacted the QoL of our breast cancer patients, specifically on the breast symptoms scale. However, these symptoms improved after 4 months, resulting in high breast satisfaction and indicating a near-excellent cosmetic outcome. Future studies with larger cohorts are essential to validate these findings, as the small sample size (n=21 at baseline; n=13 post-RT) may have limited the detection of more subtle changes

Background: Work-related musculoskeletal disorders (WRMSDs) remain a major cause of occupational disability and productivity loss worldwide. Traditional statistical methods have identified numerous associated factors; however, they often struggle to capture complex non-linear relationships and interactions across multiple domains of risk. Machine learning (ML) offers an alternative analytical approach for modelling such multidimensional relationships. Methods: Following the PRISMA 2020 guidelines (PROSPERO: CRD420250605234), literature searches were conducted in Web of Science, Scopus, and PubMed for studies published between 2020 and 2025. Eligible studies applied ML methods to identify factors associated with WRMSDs using cross-sectional study designs. Included studies were appraised using the Joanna Briggs Institute Critical Appraisal Checklist for analytical cross-sectional studies. Results: Ten studies met the inclusion criteria, representing workers from healthcare, transport, manufacturing, and service sectors across Asia, Africa, and Europe. Frequently applied ML algorithms included random forest, support vector machine, and artificial neural networks, demonstrating strong internal discriminative performance (area under the receiver operating characteristic curve: 0.80–0.99), although the absence of external validation in several studies suggests a potential risk of overfitting. Commonly identified factors included age, sex, awkward posture, vibration exposure, prolonged working hours, stress, and burnout. Psychosocial factors, including post-traumatic stress disorder, job stress, and depression, were ranked among the most influential predictors within ML models. Conclusions ML models demonstrate strong capability in discriminating WRMSDs risk and identifying multidimensional risk factors compared with traditional statistical approaches. These models highlight complex interrelationships between ergonomic and psychosocial exposures. Future research should incorporate external validation, objective exposure measurements, and standardized ML reporting frameworks to enhance methodological transparency and generalizability.

Objective: This study aims to describe histological manifestations and characterise the CDV strain in the tiger to determine its molecular epidemiology and postulate viral pathogenicity. Methods: Histopathology characterisation of the infected tissues were performed through haematoxylin and eosin and immunohistochemistry staining, respectively. We conducted virus isolation and titration in Chinese hamster ovarian expressing the dog signalling lymphocytic activation molecule (CHO-SLAM) cells. Reverse transcription polymerase chain reaction was performed to confirm the presence of CDV RNA, nucleotide and amino acid sequence analyses for comprehensive characterisation of the CDV strain. Results: Notable histopathological changes were observed primarily in the brain, lung, liver, kidney, spleen, and stomach, with viral antigens localised in the lung, liver, kidney, and stomach tissues. CDV-induced cell cytopathic effects yielding 4.27 × 10 6 TCID 50 /mL were observed at 48 h post-inoculation in CHO-SLAM cells. Phylogenetic analysis suggested that the virus originated from the Asia-1 clade. Notably, 549H and 519I mutations in the hemagglutinin protein were observed, indicating adaptation to a non-canid wildlife species. Conclusions and Relevance: Overall, this study enhances our understanding of the molecular characterisation and evolutionary dynamics of the CDV strain present in the Malayan tiger and serves as a benchmark for developing effective preventative measures to protect Malayan tigers and mitigate their risk of extinction.

Parenting Factors and Child Obesity: A Study Among Preschoolers in Selangor, Malaysia Introduction Child obesity is a pressing global concern. In Malaysia, the rates of child obesity have risen significantly over recent decades, with 5.6% of children under the age of five being categorized as overweight or obese. Children's behavior is influenced by their home environment, which includes both physical and social aspects such as parental behavioral models, parenting styles, practices, beliefs, and societal norms. However, there is a scarcity of data on the prevalence of child obesity and its relationship with parental factors. This research set out to explore the link between parenting styles, parental physical activity, dietary habits, body image perception, screen time, and child obesity. Methods A survey using a quantitative approach was conducted among preschoolers in Selangor to test the proposed relationships between these factors. Data were gathered from 354 preschool students in Selangor. This study used a multi-stage sampling technique. In the multi-stage sampling technique, the researcher used a series of sampling frames by developing population strata and then selected using purposive sampling method. Results The analysis was carried out using SPSS version 26 and Smart PLS version 4.0. The direct effect analysis revealed that parenting styles (p = 0.000), along with parental dietary habits and body image perception (p=0.001), were significantly associated with child obesity. In contrast, parental physical activity (p = 0.167) and screen time (p = 0.739) did not show a significant relationship with childhood obesity. Conclusions The study's outcomes can assist healthcare practitioners in understanding and providing substantial evidence of the significant relationship between parenting styles, dietary practices, body image perception, and child obesity.

Environmental and Health Impacts of Pesticide-Based Malaria Control in Low- and Middle-Income Countries: A Scoping Review Introduction Malaria remains a major public health challenge in tropical and subtropical regions, necessitating effective vector control strategies. This scoping review aims to evaluate the environmental and health impacts of pesticide-based malaria control in low-and middle-income countries (LMICs). Methods A comprehensive search was conducted across Scopus, Web of Science and PubMed for studies published between 2004 and 2024, using a predefined search string based on the PEO framework. Inclusion criteria focused on studies addressing malaria control programmes and their effects on the environment and human health. Data extraction followed PRISMA 2020 guidelines. Results 12 studies were included, most of which focused on indoor residual spraying (IRS) and insecticide-treated nets (ITNs). The review identified significant direct and indirect impacts. While effective in reducing malaria transmission, IRS and ITNs pose substantial risks. Direct health effects included acute poisoning and long-term neurodevelopmental issues linked to pesticide exposure, with residues detected in breast milk. Environmental impacts included soil and water contamination, biodiversity loss and ecological disruption. The overlap of pesticide use in malaria control and agriculture was found to exacerbate insecticide resistance in mosquito populations. Conclusions Pesticide-based malaria control, while crucial, carries significant unintended consequences for human health and the environment. The findings underscore the urgent need for Integrated Vector Management (IVM) strategies that reduce reliance on chemical pesticides, mitigate resistance, and ensure environmental sustainability and public health safety.

Introduction: Multiple endocrine neoplasia type 1 (MEN1) is a rare autosomal dominant syndrome caused by mutations in the tumor suppressor gene MENIN, classically characterized by endocrine tumors of the parathyroid glands, pancreas, and pituitary. Beyond tumorigenesis, emerging evidence suggests a role for MENIN in immune regulation, with deficiency linked to CD4⁺ and CD8⁺ lymphocyte dysfunction and predisposition to autoimmunity. While autoimmune conditions such as thyroiditis and pernicious anemia have been described in MEN1, an association with autoimmune hemolytic anemia (AIHA) has not been previously reported. We describe a rare case of MEN1 associated with warm AIHA, highlighting a potential link between endocrine tumorigenesis and immune dysregulation. Case: A 56-year-old female presented with a 4-month history of lethargy, anorexia, weight loss, and painless jaundice. She is para 6 + 1, with no history of anemia in pregnancy, prior blood transfusions, or family history of hematological disorders. Examination revealed mild pallor, jaundice, and hepatomegaly without splenomegaly. She had a prior diagnosis of MEN1, with two hallmark features: primary hyperparathyroidism and a pancreatic neuroendocrine tumor. She underwent pancreatic enucleation, hemithyroidectomy, and hemiparathyroidectomy; histopathology demonstrated a benign thyroid nodule and parathyroid hyperplasia. Whole exome sequencing identified no pathogenic MEN1 mutation but revealed a c.1621A>G variant, classified as a non-deleterious polymorphism. Variants in TP53 and BRCA1 were also detected without phenotypic expression. Surveillance colonoscopy and mammography were unremarkable. Laboratory findings were consistent with warm AIHA, including elevated lactate dehydrogenase, indirect hyperbilirubinemia, low haptoglobin, reticulocytosis, and a positive direct Coombs test (immunoglobulin G). Peripheral blood film was nonspecific. She responded well to a tapering course of prednisolone. Conclusion This case highlights a possible association between MEN1 and autoimmune hemolysis. The presence of the MEN1 c.1621A>G variant, alongside TP53 and BRCA1 variants, raises the possibility of modifier effects influencing immune dysregulation. Further studies are needed to clarify this relationship.

Introduction: Young active patients with significant pain from knee osteoarthritis are a challenging group of patients to treat. For patients with symptomatic osteoarthritis involving both medial and lateral compartments, total knee arthroplasty (TKA) would traditionally be their only surgical option. Knee joint distraction (KJD) is a novel procedure in Asia that offers a joint preserving alternative for this cohort of patients. This study aims to evaluate patients with knee osteoarthritis treated with knee joint distraction (KJD). Materials and methods: Patients were included in this study if they had medial and lateral knee pain refractory to conservative treatment for more than 6 months, aged less than 50 and radiographs confirmed osteoarthritic changes in both the medial and lateral tibio-femoral compartments. An external fixator was placed in the distal femur and proximal tibia, and the knee joint was progressively distracted over a period of 3 days, to a total distance of 5mm. After six weeks, the external fixator is removed. Manipulation under anaesthesia was performed for patients who experienced stiffness post external fixator removal to achieved desired range of motion. Results: A total of three patients underwent KJD from 2020 to 2021. The patients’ age ranged from 44 to 49 years. The mean pre-operative Oxford Knee Score (OKS) was 37.6. At final follow-up at 2 years, the mean post-operative OKS was 17.6. All patients managed to attain the minimal clinically important difference in the OKS. Conclusion: In young patients with symptomatic bicompartmental knee osteoarthritis, KJD can be considered before doing a total knee replacement.

Dengue remains a public health threat that consumes a significant number of resources for its prevention and control. This systematic review aimed to solidify recent costing evidence in dengue management among South East Asian (SEA) countries. All studies conducted between 2010 and 2020 were retrieved using four international databases i.e. PubMed, Scopus, Web of Science, and Emerald Insight. The review was reported according to PRISMA guidelines. Quality assessments were done independently by two reviewers using a checklist adapted for the cost of illness studies. We identified 13 original articles representing several SEA countries. Among the common reported costing measure include total cost/ health expenditure; direct medical cost; direct non-medical cost; and indirect cost. The estimated total cost for dengue management varied between countries largely due to the difference in the total incidence of dengue cases. The estimated cost spent on dengue per capita GDP ranges from less than 0.001% to 0.1%, depending on the recorded number of dengue cases of the year. The majority of the articles focused on the economic burden from the perspective of treatment such as hospitalization and ambulatory care. In a nutshell, the economic burden of managing dengue infection is costly and the evidence suggests a steady increase in health expenditure with the growing number of dengue cases

Problem: In September 2024, an illegal toxic waste dumping incident along the Tebrau River in Johor State, Malaysia, raised widespread health concerns in Johor Bahru and Kulai districts. The pollution released a strong, unpleasant odour, resulting in acute symptoms among exposed individuals, including sore throat, dizziness and coughing. Context: The Tebrau River is a vital waterway supporting urban populations in Johor. This was not the first chemical pollution event in the region, as previous incidents, including the Kim Kim River crisis in 2019, highlighted the region’s vulnerability to such events. The involvement of multiple districts and agencies during the response presented challenges in coordination and data sharing. Action: The Johor Bahru District Health Office promptly deployed a rapid assessment team to assess the affected areas and implement both active and passive case detection. Community engagement targeted vulnerable populations, such as schoolchildren, to minimize exposure risks. Additional dumping sites identified along the Tebrau River prompted expanded surveillance and a state-level response to coordinate efforts across districts and all health-care facilities. Outcome: A total of 484 individuals were exposed to the pollution, 334 of whom developed symptoms related to chemical exposure. Timely public health actions consisted of actions to mitigate the impact. Health facilities were placed on high alert and community trust was maintained through proactive engagement. However, gaps in cross-district coordination and challenges accessing environmental data underscored areas for improvement. Discussion: This incident highlighted the importance of rapid assessment, cross-sector collaboration, community engagement and integrated data systems. It also showed that effective public health action is possible despite environmental data limitations. The strengthening of communication, standardized protocols and real-time data sharing will be critical to improving future chemical pollution events.