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OBJECTIVE: Cerebral palsy (CP) is a group of neurological disorders with profound implications for children\'s development. The identification of perinatal risk factors for CP may lead to improved preventive and therapeutic strategies. This study aimed to identify the early predictors of CP using machine learning (ML).
METHODS: This is a retrospective case-control study, using data from the two population-based databases, the Slovenian National Perinatal Information System and the Slovenian Registry of Cerebral Palsy. Multiple ML algorithms were evaluated to identify the best model for predicting CP.
METHODS: This is a population-based study of CP and control subjects born into one of Slovenia\'s 14 maternity wards.
METHODS: A total of 382 CP cases, born between 2002 and 2017, were identified. Controls were selected at a control-to-case ratio of 3:1, with matched gestational age and birth multiplicity. CP cases with congenital anomalies (n=44) were excluded from the analysis. A total of 338 CP cases and 1014 controls were included in the study.
METHODS: 135 variables relating to perinatal and maternal factors.
METHODS: Receiver operating characteristic (ROC), sensitivity and specificity.
RESULTS: The stochastic gradient boosting ML model (271 cases and 812 controls) demonstrated the highest mean ROC value of 0.81 (mean sensitivity=0.46 and mean specificity=0.95). Using this model with the validation dataset (67 cases and 202 controls) resulted in an area under the ROC curve of 0.77 (mean sensitivity=0.27 and mean specificity=0.94).
CONCLUSIONS: Our final ML model using early perinatal factors could not reliably predict CP in our cohort. Future studies should evaluate models with additional factors, such as genetic and neuroimaging data.

Multiple bolus trials are administered during clinical and research swallowing assessments to comprehensively capture an individual\'s swallowing function. Despite valuable information obtained from these boluses, it remains common practice to use a single bolus (e.g., the worst score) to describe the degree of dysfunction. Researchers also often collapse continuous or ordinal swallowing measures into categories, potentially exacerbating information loss. These practices may adversely affect statistical power to detect and estimate smaller, yet potentially meaningful, treatment effects. This study sought to examine the impact of aggregating and categorizing penetration-aspiration scale (PAS) scores on statistical power and effect size estimates. We used a Monte Carlo approach to simulate three hypothetical within-subject treatment studies in Parkinson\'s disease and head and neck cancer across a range of data characteristics (e.g., sample size, number of bolus trials, variability). Different statistical models (aggregated or multilevel) as well as various PAS reduction approaches (i.e., types of categorizations) were performed to examine their impact on power and the accuracy of effect size estimates. Across all scenarios, multilevel models demonstrated higher statistical power to detect group-level longitudinal change and more accurate estimates compared to aggregated (worst score) models. Categorizing PAS scores also reduced power and biased effect size estimates compared to an ordinal approach, though this depended on the type of categorization and baseline PAS distribution. Multilevel models should be considered as a more robust approach for the statistical analysis of multiple boluses administered in standardized swallowing protocols due to its high sensitivity and accuracy to compare group-level changes in swallowing function. Importantly, this finding appears to be consistent across patient populations with distinct pathophysiology (i.e., PD and HNC) and patterns of airway invasion. The decision to categorize a continuous or ordinal outcome should be grounded in the clinical or research question with recognition that scale reduction may negatively affect the quality of statistical inferences in certain scenarios.

BACKGROUND: Regulations designed to protect children participating in clinical research often restrict the availability of research data necessary for the development of age-specific therapies and drug dosing. Few data exist on how children experience participation in clinical research, and studies investigating young children undergoing an intensive medical treatment are lacking.
METHODS: Mixed methods with semi-structured interviews and DISCO-RC questionnaires were used to explore young children\'s and their parents\' experiences in clinical research participation during a kidney transplantation trajectory.
RESULTS: Nine children and their parents were interviewed. Children\'s median age at kidney transplantation was 4 years (IQR 4,7); age at interview was 7 years (IQR 6,9). Thematic content analysis of interviews revealed that most children were unaware of having participated in a study. Both children and their parents frequently were unaware whether procedures were standard care or research related. The additional burden attributed to study participation varied from not at all to heavy in combination with intensive medical treatment. Positive experiences included kind healthcare professionals, effective distraction techniques, educational aspects, contributing to science and extra check-ups. Most reported negative experiences were conflicting communication, spending much time in the hospital, missing school and suboptimal planning. Venous puncture was stressful for all children, whereas the discomfort of other procedures varied.
CONCLUSIONS: Pediatric clinical research design should focus on education and fun during research procedures, smart planning, consistent communication, close collaboration between clinical and research team and age appropriate distraction techniques.

BackgroundThe Vibrio genus comprises several bacterial species present in the Baltic Sea region (BSR), which are known to cause human infections.AimTo provide a comprehensive retrospective analysis of Vibrio-induced infections in the BSR from 1994 to 2021, focusing on the \'big four\' Vibrio species - V. alginolyticus, V. cholerae non-O1/O139, V. parahaemolyticus and V. vulnificus - in eight European countries (Denmark, Estonia, Finland, Germany, Latvia, Lithuania, Poland and Sweden) bordering the Baltic Sea.MethodsOur analysis includes data on infections, Vibrio species distribution in coastal waters and environmental data received from national health agencies or extracted from scientific literature and online databases. A redundancy analysis was performed to determine the potential impact of several independent variables, such as sea surface temperature, salinity, the number of designated coastal beaches and year, on the Vibrio infection rate.ResultsFor BSR countries conducting surveillance, we observed an exponential increase in total Vibrio infections (n = 1,553) across the region over time. In Sweden and Germany, total numbers of Vibrio spp. and infections caused by V. alginolyticus and V. parahaemolyticus positively correlate with increasing sea surface temperature. Salinity emerged as a critical driver of Vibrio spp. distribution and abundance. Furthermore, our proposed statistical model reveals 12 to 20 unreported cases in Lithuania and Poland, respectively, countries with no surveillance.ConclusionsThere are discrepancies in Vibrio surveillance and monitoring among countries, emphasising the need for comprehensive monitoring programmes of these pathogens to protect human health, particularly in the context of climate change.

UNASSIGNED: Public health workers have been at the forefront of treating patients with coronavirus disease 2019 (COVID-19) and managing the pandemic. The redeployment of this workforce has limited or interrupted other public health services, including testing for human immunodeficiency virus (HIV). This study aims to examine the impact of COVID-19 on HIV testing and diagnosis in the Republic of Korea from 2016 to 2021, comparing data before and after the onset of COVID-19.
UNASSIGNED: Annual HIV testing data were collected from each institution through direct communication or from open-source databases. The annual number of new HIV cases was obtained from the official report of the Korea Disease Control and Prevention Agency. Data on healthcare visits for HIV diagnosis or treatment were extracted from the open-source database of the National Insurance Health Service of Korea. Interrupted time series regression was conducted, stratified by institution type.
UNASSIGNED: In 2020, HIV tests, diagnoses, and visits decreased. Notably, public health centers experienced a substantial reduction in 2020-2021 compared to previous years. The annual percentage change in HIV tests was -53.0%, while for HIV diagnoses, it was -31.6%. The decrease in visits for HIV was also most pronounced for public facilities: -33.3% in 2020 and -45.6% in 2021 relative to 2019.
UNASSIGNED: The numbers of tests, diagnoses, and healthcare visits for HIV at public health centers in the Republic of Korea substantially decreased in 2020 and 2021. The impacts of these changes on the early diagnosis and treatment of HIV necessitate further monitoring.

BACKGROUND: The enormous consequences of drugs include suicides, traffic accidents, and violence, affecting the individual, family, society, and country. Therefore, it is necessary to constantly identify and monitor the drug abuse rate among school-going youth. A geospatial dashboard is vital for the monitoring of drug abuse and related crime incidence in a decision support system.
OBJECTIVE: This paper mainly focuses on developing MyAsriGeo, a geospatial drug abuse risk assessment and monitoring dashboard tailored for school students. It introduces innovative functionality, seamlessly orchestrating the assessment of drug abuse usage patterns and risks using multivariate student data.
METHODS: A geospatial drug abuse dashboard for monitoring and analysis was designed and developed in this study based on agile methodology and prototyping. Using focus group and interviews, we first examined and gathered the requirements, feedback, and user approval of the MyAsriGeo dashboard. Experts and stakeholders such as the National Anti-Drugs Agency, police, the Federal Department of Town and Country Planning, school instructors, students, and researchers were among those who responded. A total of 20 specialists were involved in the requirement analysis and acceptance evaluation of the pilot and final version of the dashboard. The evaluation sought to identify various user acceptance aspects, such as ease of use and usefulness, for both the pilot and final versions, and 2 additional factors based on the Post-Study System Usability Questionnaire and Task-Technology Fit models were enlisted to assess the interface quality and dashboard sufficiency for the final version.
RESULTS: The MyAsriGeo geospatial dashboard was designed to meet the needs of all user types, as identified through a requirement gathering process. It includes several key functions, such as a geospatial map that shows the locations of high-risk areas for drug abuse, data on drug abuse among students, tools for assessing the risk of drug abuse in different areas, demographic information, and a self-problem test. It also includes the Alcohol, Smoking, and Substance Involvement Screening Test and its risk assessment to help users understand and interpret the results of student risk. The initial prototype and final version of the dashboard were evaluated by 20 experts, which revealed a significant improvement in the ease of use (P=.047) and usefulness (P=.02) factors and showed a high acceptance mean scores for ease of use (4.2), usefulness (4.46), interface quality (4.29), and sufficiency (4.13).
CONCLUSIONS: The MyAsriGeo geospatial dashboard is useful for monitoring and analyzing drug abuse among school-going youth in Malaysia. It was developed based on the needs of various stakeholders and includes a range of functions. The dashboard was evaluated by a group of experts. Overall, the MyAsriGeo geospatial dashboard is a valuable resource for helping stakeholders understand and respond to the issue of drug abuse among youth.

Background and aim Cancer poses a significant burden in India, with a considerable number of people living with the disease and a substantial increase in new cases every year. Hence, considering the unique challenges faced by developing nations regarding the disease burden, this study has been designed. The aim of this work was to carry out a descriptive retrospective cross-sectional study on various types of cancer conducted in a tertiary care centre in India. Methods One thousand cancer patients who attended the outpatient department (OPD) from tertiary care cancer hospitals from July 2019 to December 2023 in Eastern India were enrolled. Patients included were of either gender, with their demographic details and the disease duration, who visited the OPD of hospitals meeting the eligibility criteria. Exclusion criteria were terminally ill cancer patients and patients who did not visit the outpatient department of the studied site. Descriptive analysis and chi-square test were carried out using the SPSS statistical software, version 20.0 (IBM Corp., Armonk, NY) for data analysis. Ethics committee approval was taken. Results Gastrointestinal tract cancer (31.3%, n=313) and breast cancer (19.8%, n=198) were found to be the most common types of cancer among all. Out of the total patients studied, 41.1% were males and 58.9% were females. Among regions, North Chotanagpur had the highest (40.5%) prevalence, followed by South Chotanagpur (26.0%). The majority of individuals belonged to 41 to 60 years (49.0%, n=490), followed by 21-40 years (28.9%, n=289). Gastrointestinal cancer was more prevalent among males (35.5%, n=146), while breast cancer was predominant among females (31.4%, n=185). Conclusion Cancer is more prevalent among rural females (58.9%), providing valuable insights into the prevalence of various cancers and highlighting differences between regions, age groups, and genders.

OBJECTIVE: Temporomandibular disorder (TMD) is the term used to describe a pathology (dysfunction and pain) in the masticatory muscles and temporomandibular joint (TMJ). There is an apparent upward trend in the publication of dental research and a need to continually improve the quality of research. Therefore, this study was conducted to analyse the use of sample size and effect size calculations in a TMD randomised controlled trial.
METHODS: The period was restricted to the full 5 years, i.e., papers published in 2019, 2020, 2021, 2022, and 2023. The filter article type-\"Randomized Controlled Trial\" was used. The studies were graded on a two-level scale: 0-1. In the case of 1, sample size (SS) and effect size (ES) were calculated.
RESULTS: In the entire study sample, SS was used in 58% of studies, while ES was used in 15% of studies.
CONCLUSIONS: Quality should improve as research increases. One factor that influences quality is the level of statistics. SS and ES calculations provide a basis for understanding the results obtained by the authors. Access to formulas, online calculators and software facilitates these analyses. High-quality trials provide a solid foundation for medical progress, fostering the development of personalized therapies that provide more precise and effective treatment and increase patients\' chances of recovery. Improving the quality of TMD research, and medical research in general, helps to increase public confidence in medical advances and raises the standard of patient care.

OBJECTIVE: The underreporting of occupational diseases in many countries significantly hampers the development of intervention programs, posing a significant public health problem. Our study aimed to contribute to the occupational diseases surveillance by examining the data of hospitals authorized to issue reports throughout Turkey.
METHODS: This cross-sectional study was conducted using medical diagnoses of occupational diseases reported to the General Directorate of Public Health from 81 provinces in Turkey between 1 January 2018 and 31 December 2022. The study evaluated hospitals that made medical diagnoses of occupational diseases and compared age groups, genders, occupational disease diagnosis groups and provinces of work regarding legal and medical diagnoses.
RESULTS: The top three disease groups in terms of medical diagnosis are musculoskeletal disorders with 38.8%, respiratory diseases with 14.4% and hearing defects with 10.9%. Regarding legal diagnoses, respiratory system diseases ranked first with 26.4%, followed by musculoskeletal disorders with 8.2% and hearing defects with 5.5%. While the provinces where most cases of medical occupational diseases are diagnosed share similarities, the majority of affected individuals in Karabük and Batman have not received a legal recognition of the occupational disease. Two-thirds of Turkey\'s medical occupational disease diagnoses were made in two hospitals.
CONCLUSIONS: This study is reflecting national data in Turkey and is the country\'s first nationwide study. The number of occupational diseases in Turkey is lower than expected. It would be more accurate to express the data in a way that includes medical diagnoses instead of using the number of compensated files corresponding to legal diagnoses.