METHODS: We searched the PubMed® database for relevant English articles published up to July 1, 2023. Subsequently, we conducted a comprehensive bibliographic analysis with a particular emphasis on diagnostic yield, safety profile, and procedural technicalities.
KEY CONTENT AND FINDINGS: Our narrative review, comprising seven publications, emphasizes the significance of EBUS-TMC as an effective technique for obtaining diagnostic tissue in malignant and benign conditions while maintaining an excellent safety profile. Furthermore, its capability for obtaining larger tissue samples facilitates molecular and immunological analysis in non-small cell lung cancer.
CONCLUSIONS: EBUS-TMC exhibits significant efficacy with regard to obtaining diagnostic tissue in malignant and benign conditions. However, further studies are needed to evaluate uncertainties regarding the selection of suitable cases and technical intricacies.
METHODS: A prospective, randomized, single-blinded clinical trial to assess the efficacy of autologous blood in place of fibrin glue in pterygium surgery. A total of 120 eyes of 111 patients were randomized according to pterygium morphology, to undergo pterygium surgery with autografting using either autologous blood or fibrin glue. All patients were operated by a single surgeon; 58 eyes were operated using fibrin glue and 62 eyes had a conjunctival autograft with autologous blood. Patients were seen on postoperative day 1, 1 week, 1 month, 6 months, and 1 year after surgery. Graft stability and pterygium recurrence were graded by an independent observer who was masked to the method of treatment.
RESULTS: All 120 eyes completed the 1-year follow-up. Graft loss was seen only in the autologous blood group. Of the 62 eyes in this group, a total of 15 (24.2%) grafts dislodged. Recurrence was calculated after excluding grafts that were dislodged. Of the 105 patients, there were a total of 7 recurrences, 2 (3.4%) from the fibrin adhesive method and 5 (10.6%) from the autologous blood method. This was not statistically significant (P = 0.238).
CONCLUSIONS: Autologous blood does not exhibit similar graft stability seen with fibrin glue. Although the recurrence rate may not be significant, careful patient selection and a standard method needs to be laid out before the use of this method is widely accepted.
METHODS: A self-administered online survey was distributed via QualtricsXM to practising optometrists in the UK via email lists and newsletters of local optical committees, social media, and optometric networks. Questions focussed on learning styles, training needs and barriers to learning.
RESULTS: Fifty-five respondents completed the survey. Forty-eight respondents answered the question on where they get information about myopia control and learning style, 79.2% indicated that conferences offering Continuing Professional Development (CPD) material were their main source, and 20.8% preferred online learning as the preferred format of delivery. Optometrists would like to receive training in clinical assessments (78.9%), evaluating suitable interventions (76.3%), developing and implementing specific patient intervention plans (76.3%), carrying out chosen myopia control interventions (fitting/prescribing) (73.7%), and the use of pharmacological interventions (94.4%). Of the 40 respondents who answered professional development questions, 97 5% were most interested in finding, identifying and applying evidencebased practice (EBP), followed by clinical decision-making in myopia control (95.0%). When asked about barriers to learning in this field, 29.7% reported limited time to attend training as the greatest barrier.
CONCLUSION: Optometrists felt they need training in various aspects of myopia management, from practical skills to assessing and fitting/prescribing appropriate myopia control interventions. They were also interested in learning more on EBP and clinical decision-making related to myopia control. To improve the uptake of myopia control among optometrists, various learning methods, especially online learning, and providing sufficient time for training are crucial.
METHODS: We conducted a systematic literature search in databases including MEDLINE, Embase, and CINAHL to identify studies estimating the cost of illness of chronic migraines. The search was restricted to English language articles published from inception to October 2021, and only findings from Organisation for Economic Co-operation and Development (OECD) countries were included. Methodology features and key findings were extracted from the studies, and reported costs were converted to GBP for cross-country comparisons.
RESULTS: Thirteen cost-of-illness studies on CM from various OECD countries were included in this review. The studies demonstrated substantial variations in monetary estimates, but consistently highlighted the considerable economic burden of CM. Direct costs, particularly hospitalisation and medication expenses, were identified as the highest contributors. However, indirect costs, such as productivity losses due to absenteeism and presenteeism, were often underexplored in the reviewed studies. Additionally, intangible costs related to emotional and social impacts on patients were largely overlooked.
CONCLUSION: Chronic migraine imposes a significant economic burden on individuals, healthcare systems, and society. Policymakers and healthcare stakeholders should consider both direct and indirect cost components, as well as intangible costs, in developing targeted strategies for effective CM management and resource allocation. Further research focusing on comprehensive cost assessments and sensitivity analyses is needed to enhance the understanding of CM's economic implications and inform evidence-based healthcare policy decisions. Addressing these research gaps can alleviate the economic burden of CM and improve patient outcomes.
OBJECTIVE: Therefore, this research aims to create a flexible mental health care architecture that leverages data-driven methodologies and ensemble machine learning models. The objective is to proficiently structure, process, and present data for positive computing. The adaptive data-driven architecture facilitates customized interventions for diverse mental disorders, fostering positive computing. Consequently, improved mental health care outcomes and enhanced accessibility for individuals with varied mental health conditions are anticipated.
METHOD: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, the researchers conducted a systematic literature review in databases indexed in Web of Science to identify the existing strengths and limitations of software architecture relevant to our adaptive design. The systematic review was registered in PROSPERO (CRD42023444661). Additionally, a mapping process was employed to derive essential paradigms serving as the foundation for the research architectural design. To validate the architecture based on its features, professional experts utilized a Likert scale.
RESULTS: Through the review, the authors identified six fundamental paradigms crucial for designing architecture. Leveraging these paradigms, the authors crafted an adaptive data-driven architecture, subsequently validated by professional experts. The validation resulted in a mean score exceeding four for each evaluated feature, confirming the architecture's effectiveness. To further assess the architecture's practical application, a prototype architecture for predicting pandemic anxiety was developed.
OBJECTIVE: To evaluate the relationships between age, ANA, RF levels, RA (disease present), and treatment response using Pearson correlation analysis and a neural network model, to predict treatment outcomes in patients with coexisting SS and RA.
METHODS: A cohort of 56 female patients aged 30-73 was analyzed. Descriptive statistics provided an overview of key variables, followed by Pearson correlation analysis to assess relationships between age, ANA, RF, RA, and treatment response. A neural network model was developed to predict treatment response based on age, ANA, and RF levels, using a training-to-testing split of 81.3 % and 18.8 %, respectively.
RESULTS: The Pearson correlation analysis revealed a significant positive correlation between age and ANA levels (r = .541, p = 0.031), though no significant correlations were found between age, RF, RA, and treatment response. The neural network model achieved an accuracy of 92.3 % during training and 100 % accuracy during testing for most treatment categories. However, the model struggled to accurately distinguish between certain classes, particularly treatment categories 1 and 3.
CONCLUSION: Age showed a significant correlation with ANA levels, indicating that older patients may have elevated ANA. The neural network model demonstrated strong predictive power for treatment response, although further refinement is needed to improve its ability to distinguish between all response categories. These findings suggest that machine learning models could enhance personalized treatment strategies for patients with SS and RA, but additional validation with larger datasets is required.