Factors related to spontaneous space closure following early first permanent molar extraction: A systematic review.

BACKGROUND: Dental caries and molar-incisor hypomineralization (MIH) are primary reasons for the extraction of first permanent molars (M1) in children, which can lead to significant dental and facial development issues such as a midline shift and temporomandibular joint disorder. AIM: This systematic review aimed to identify key factors influencing spontaneous space closure following the early extraction of first permanent molars (M1) in children aged 5-15. DESIGN: We conducted a comprehensive search across Scopus, PubMed, Dimensions, Web of Science, and Cochrane databases, including the literature from 1960 to 2024. The inclusion criteria focused on clinical trials, case-control, cross-sectional, cohort studies, and case series that evaluated the impact of various factors on the spontaneous closure after M1 extraction. RESULTS: The analysis highlights that chronological age and the developmental stage of the second permanent molars (M2) at the time of extraction are significant predictors of successful spontaneous space closure. Additionally, the presence and angle of M2, along with the presence of third permanent molars (M3), play crucial roles but require further investigation. CONCLUSION: Early assessment of M2's developmental stage and inclination, and the presence of M3 are essential for enhancing the likelihood of successful spontaneous space closure following M1 extraction in children.

The Status of Canadian Radiology Mentorship Programs, Where We Stand and Where to Improve.

Background: The importance of mentorship in medicine is well-established. Access to mentors is pivotal in enhancing career opportunities and networking, increasing research productivity, and overall wellness and resilience at all career stages. Our study aims to assess the current status of radiology mentorship programs for Canadian medical students and radiology residents. Methods: We distributed an anonymous survey to Canadian radiology program directors in December 2022. The questions pertained to the existing mentorship programs' specific goals, structure, and success. Our null hypothesis was that medical students and residents have similar mentorship opportunities. Results: We have received 12 responses (a response rate of 12/16 = 75%), 9 of which had formal mentorship programs and 3 (25%) did not. Comparing the mentorship program for medical students and residents yielded a P-value = .11 > .05. This result does not reject our null hypothesis, indicating there is no significant difference between these 2 groups. Using qualitative analysis, we categorized the responses into 4 main themes: mentorship programs' goals, structures, evaluation methods, and their results. Conclusion: Although our result did not reach statistical significance (P-value = .11 > .05), the observed trend shows that one third of Canadian medical schools do not offer a radiology mentorship program for medical students, highlighting a potentially significant opportunity for improvement. Qualitative analysis shows that despite various methods for assigning mentees to mentors, developing formalized yet flexible mentorship models that allow students and residents to self-select their mentors might be more beneficial than randomly assigning mentors to them.

Association between Dental Fear and Children's Oral Health-Related Quality of Life.

OBJECTIVES: This study aimed to examine the association between both parental dental fear and children's dental fear and its impact on the Oral Health-Related Quality of Life (OHRQoL) of Saudi children in the Eastern Province of Saudi Arabia. METHODS: Data on 93 individuals aged 7-12 years were collected using clinical examination and Arabic-validated questionnaires: the Child Oral Health Impact Profile-Short Form (COHIP-SF19), and the Children's Fear Survey Schedule-Dental Subscale (CFSS-DS). Negative binomial regression analysis was performed to study the association between children's fear and parental dental fear as well as the OHRQoL, while adjusting for certain confounders. RESULTS: Overall, our multivariate analyses showed that children with high dental fear (CFSS-DS ≥ 38, p = 0.027) and a higher percentage of dental caries (p = 0.013) had a significantly lower OHRQoL after adjusting for clinical and socio-demographic factors. Further, parental fear of dentists was significantly associated with children's fear of dentists (p < 0.001). CONCLUSIONS: Our findings demonstrate that children's fear and dental caries are both associated with poorer OHRQoL. Further, parental dental fear about dentists was associated with children's fear of dentists.

Readability and Accessibility of Patient-Education Materials for Heart Failure in the United States.

Online education materials are widely used by patients and caregivers to understand the management of complex chronic diseases such as heart failure (HF). Organizations such as the American Medical Association and National Institutes of Health recommend that materials be written at a 6th-grade reading level. The current study examined the readability and accessibility of online education materials for patients with HF. Whole page texts from each included website were entered into an online readability calculator. Five validated readability indices (Flesch-Kincaid Grade Level, Flesch Reading Ease Scale, Gunning Fog Index, Coleman-Liau Index, and Simple Measure of Gobbledygook (SMOG Index)) were used to evaluate each source. Websites were categorized by source (government, public and private). The availability of audiovisual accessibility features and content in non-English languages were assessed for each website. Of the 36 online resources analyzed, the median readability level was 9th-10th grade according to the Flesch-Kincaid Grade Level and college level, according to the Flesch Reading Ease Scale. The Gunning Fog Index and Coleman-Liau Index both showed median readability scores corresponding to a 12th grade reading level, whereas the SMOG Index showed a median score corresponding to that of the 9th grade. Only 10 websites (28%) offered information in languages other than English, and none provided comprehensive accessibility features for users with disabilities. Common online educational materials for patients with HF are characterized by higher readability levels than those recommended by the National Institutes of Health and the American Medical Association, and there were limited multilingual and accessibility options, potentially limiting the accessibility of resources to patients and caregivers.

Finite Element Analysis and Clinical Applications of Transverse Post for the Rehabilitation of Endodontically Treated Teeth.

Introduction The preservation of tooth structure during cavity preparation is crucial for maintaining tooth strength and longevity of restorations. The biomechanical behavior of teeth, especially those with mesio-occlusal-distal (MOD) cavity preparations, is significantly affected by the extent of cavity preparation and the type of restorative treatment employed. The aim of the current study was to evaluate and analyze the stress distribution seen in the mandibular molar with MOD cavity when restored with transverse post, using finite element analysis (FEA). Materials and methodology FEA was utilized to evaluate stress distribution in an endodontically treated mandibular first molar with MOD cavity preparation, restored using a transverse post and composite restoration. Three-dimensional models incorporating the tooth and the surrounding structures, along with the transverse post and composite restoration, were constructed based on known biomechanical properties. After meshing the models, loads were defined on the buccal and lingual cusps with a constant value of 600N and at an angle of 45 degrees. Preprocessing involved model preparation followed by postprocessing to obtain results representing the degree and type of stress distribution. Results FEA simulations revealed the distribution of stress within the tooth structure under functional occlusal forces. The transverse post system effectively reinforced the tooth by deflecting incident forces and providing uniform stress distribution. von Mises stresses were analyzed to assess the likelihood of material failure. The distribution of the stress in the restored tooth model was comparable to that seen in the intact model. Conclusion Transverse post along with composite restoration provides a conservative and cost-effective alternative to full coverage crowns while providing a functional and aesthetic outcome. Further research and clinical studies are warranted to validate these findings and optimize the clinical application of transverse post systems in restorative dentistry.

Evaluating Artificial Intelligence Competency in Education: Performance of ChatGPT-4 in the American Registry of Radiologic Technologists (ARRT) Radiography Certification Exam.

RATIONALE AND OBJECTIVES: The American Registry of Radiologic Technologists (ARRT) leads the certification process with an exam comprising 200 multiple-choice questions. This study aims to evaluate ChatGPT-4's performance in responding to practice questions similar to those found in the ARRT board examination. MATERIALS AND METHODS: We used a dataset of 200 practice multiple-choice questions for the ARRT certification exam from BoardVitals. Each question was fed to ChatGPT-4 fifteen times, resulting in 3000 observations to account for response variability. RESULTS: ChatGPT's overall performance was 80.56%, with higher accuracy on text-based questions (86.3%) compared to image-based questions (45.6%). Response times were longer for image-based questions (18.01 s) than for text-based questions (13.27 s). Performance varied by domain: 72.6% for Safety, 70.6% for Image Production, 67.3% for Patient Care, and 53.4% for Procedures. As anticipated, performance was best on on easy questions (78.5%). CONCLUSION: ChatGPT demonstrated effective performance on the BoardVitals question bank for ARRT certification. Future studies could benefit from analyzing the correlation between BoardVitals scores and actual exam outcomes. Further development in AI, particularly in image processing and interpretation, is necessary to enhance its utility in educational settings.

Designing Novel Endodontic Implants and Evaluation of the Stress Distribution in Maxillary Anteriors Using Finite Element Analysis.

Introduction Endodontic implants, or didontic implants, offer a promising solution for stabilizing compromised teeth with a guarded prognosis and prolonging their clinical survival rate. Despite their potential benefits, they retired out of practice due to failures that arose from the lack of a biocompatible seal and engaging in dentin. Novel designs, based on evidence-based research with the help of bioceramics, present an opportunity to overcome these challenges and hence, enhance the clinical efficacy of endodontic implants. Thus the aim of this study is to design novel endodontic implants and evaluate their stress distribution in maxillary incisors using finite element analysis (FEA). Materials and methodology FEA is a biomechanical study to assess the stress distribution and extent of displacement to assess the clinical efficacy of novel endodontic implants in maxillary anterior teeth. Three 3D models (Model 1, Model 2, and Model 3) are designed to be meshed, and material elastic properties of the tooth and periapical tissues are applied. Boundary conditions were established, and a constant axial load value of 600 N was applied at a 45° angle. The FEA analysis was done under the loading conditions to assess the stress patterns for the three 3D models in comparison to the intact tooth on the ANSYS software (ANSYS Inc, Pennsylvania). Results FEA simulations revealed the distribution of stress within the tooth structure under functional occlusal forces, as Von Misses stresses were analyzed to assess the likelihood of material yielding and failure, which was comparable to that of an intact tooth. The maximum stress of deformation was as follows: intact: 1.7589e-5 MAX; Model 1: 3.3804e-6 MAX; Model 2: 2.638e-5 MAX; and Model 3: 2.1986e-5 MAX. The area of stress concentrations did not occur at the interface of the coronal or apical seal, which prevented catastrophic failures. Conclusion By leveraging advanced design principles and materials, these implants offer a promising alternative to traditional approaches, particularly in trauma cases with a poor prognosis for the survival of the teeth leading to loss of tooth. Further clinical studies are warranted to validate the efficacy and long-term success of these novel endodontic implants in diverse patient populations.

Donkey milk as a non-bovine alternative: a review of its nutri-functional properties, applications, and challenges.

Elevation in incidences of cow milk protein allergies warrants the need to investigate the suitability of non-bovine milk alternatives for human consumption. Donkey milk has emerged as a potential alternative attributed to its benefits to human health. Evidently, it is a great option for infants as it closely resembles human milk. Researchers have also investigated its suitability in producing numerous dairy products. This review discusses the various nutri-functional aspects of donkey milk, its applications and challenges in the manufacturing of infant formula, yogurt, cheese, ice cream, kefir, and fermented milk. Research updates on processing techniques (thermal and non-thermal) for donkey milk preservation are also delineated. Despite abundant nutrients and desirable functional properties, the growth of the donkey milk industry is not significant. This is due to the lower yield, scattered population, and lack of regulatory standards for both products and processing. Recommendation on research gaps and obstacles in its commercialization are also addressed.

Genetic Signature for the Causation of Charcot Neuro-osteoarthropathy of Foot in Diabetes: A Systematic Review.

Charcot neuro-osteoarthropathy (CNO) is a complication of diabetes occurring in people with diabetic neuropathy with a prevalence of 0.5% to 1% that may culminate to foot deformity, amputation, and early mortality. However, it is not known why only certain patients with diabetic neuropathy develop CNO. Hence, early recognition of risk factors, timely diagnosis, and appropriate intervention of CNO is pertinent. Recent understanding of the pathophysiology of CNO has expanded to suggest the involvement of RANKL-OPG pathways. But pharmaco-therapeutic interventions targeting bone metabolism predominantly inhibiting RANKL were not found to be useful. Moreover, there are not enough markers to help identify patients with diabetes who are at a higher risk of developing CNO. Hence, we explored the literature in the present systematic review of mainly case-control studies to identify genetic factors that could help in understanding the pathophysiology and risk factors for the development of CNO. We could identify 7 relevant studies identifying single nucleotide polymorphism of OPG and RANK genes. There is an isolated study identifying alterations of micro RNA associated with RANKL-OPG pathway. Another study found epigenetic alterations by performing whole methylome sequencing in people with CNO compared to control. These genetic factors can be used as a diagnostic marker and their functional counterparts as targets for future therapeutic interventions. However, we found that literature is sparse on the genetic risk factors for CNO in people with diabetic neuropathy and there is still a lot of scope for future studies towards finding the molecular and genetic markers for CNO.

Temporal Single Cell Analysis of Leukemia Microenvironment Identifies Taurine-Taurine Transporter Axis as a Key Regulator of Myeloid Leukemia.

Signals from the microenvironment are known to be critical for development, sustaining adult stem cells, and for oncogenic progression. While candidate niche-driven signals that can promote cancer progression have been identified1-6, concerted efforts to comprehensively map microenvironmental ligands for cancer stem cell specific surface receptors have been lacking. Here, we use temporal single cell RNA-sequencing to identify molecular cues from the bone marrow stromal niche that engage leukemia stem cells (LSC) during oncogenic progression. We integrate these data with our RNA-seq analysis of human LSCs from distinct aggressive myeloid cancer subtypes and our CRISPR based in vivo LSC dependency map7 to develop a temporal receptor-ligand interactome essential for disease progression. These analyses identify the taurine transporter (TauT)-taurine axis as a critical dependency of myeloid malignancies. We show that taurine production is restricted to the osteolineage population during cancer initiation and expansion. Inhibiting taurine synthesis in osteolineage cells impairs LSC growth and survival. Our experiments with the TauT genetic loss of function murine model indicate that its loss significantly impairs the progression of aggressive myeloid leukemias in vivo by downregulating glycolysis. Further, TauT inhibition using a small molecule strongly impairs the growth and survival of patient derived myeloid leukemia cells. Finally, we show that TauT inhibition can synergize with the clinically approved oxidative phosphorylation inhibitor venetoclax8, 9 to block the growth of primary human leukemia cells. Given that aggressive myeloid leukemias continue to be refractory to current therapies and have poor prognosis, our work indicates targeting the taurine transporter may be of therapeutic significance. Collectively, our data establishes a temporal landscape of stromal signals during cancer progression and identifies taurine-taurine transporter signaling as an important new regulator of myeloid malignancies.

Evaluation of minimum inhibitory concentration and minimum bactericidal concentration of royal jelly against Enterococcus faecalis, Staphylococcus aureus, and Candida albicans.

Objective: The objective of this study was to ascertain the minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) of royal jelly (RJ) against three microorganisms frequently linked with endodontic infections: Staphylococcus aureus, Enterococcus faecalis, and Candida albicans. Materials and Methods: Freshly harvested RJ was prepared at different concentrations (20%, 10%, 5%, 2.5%, and 1.25%) in distilled water. The microbial cultures of the target organisms were prepared. MIC was determined using a broth dilution technique, monitoring microbial growth. MBC was determined by inoculating agar plates with samples from tubes showing no apparent growth and evaluating the presence of bacterial or fungal growth following the incubation period. Results: For S. aureus, the MIC and MBC were 5 mg/ml of RJ. For E. faecalis, the MIC and MBC were 10 mg/ml of RJ. For C. albicans, both MIC and MBC were 10 mg/ml of RJ. The findings demonstrated RJ's potential to inhibit and eliminate these pathogenic microorganisms, making it a potential candidate for endodontic infection control. Conclusion: The antimicrobial properties of RJ against S. aureus, E. faecalis, and C. albicans present a promising avenue for enhancing infection control in endodontics. Additional investigations are needed to refine its use in clinical settings, especially in cases with mixed microbial infections.

Authorship gender among articles about artificial intelligence in breast imaging.

RATIONALE AND OBJECTIVES: The purpose of this study is to investigate the variance of women authors, specifically first and senior authorship among peer-reviewed artificial intelligence-related articles with a specific focus in breast imaging. MATERIALS AND METHODS: A strategic search was conducted in July 2022 according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to capture all existing and publicly available peer-reviewed articles intersecting AI and breast imaging. Primary outcomes were first and senior authors' gender, which were assigned with the aid of an emailed self-declaration survey. Secondary outcomes included country of article, journal impact factor, and year of publication. Comparisons were made using logistic regression models and analysis of variances. RESULTS: 115 studies were included in the analysis. Women authors represented 35.7% (41/115) and 37.4% (43/115) of first and senior authors, respectively. Logistic regression modelling showed a significant increase in women senior authors over time but no changes in women first authors. Impact factor was not associated with female authorship and certain countries had women authorship reach over 50%. CONCLUSION: This study demonstrates that there is a significant authorship gender gap in artificial intelligence breast imaging research. An increasing temporal trend of senior authors in breast imaging AI-related research is a promising prognosis for more women voices in this field. Further study needs to be done to understand the reasons behind this gap and any potential implications.

Trends in epidemiology of dyslipidemias in India.

Dyslipidemias are the most important coronary artery disease (CAD) risk factor. High total cholesterol and its principal subtypes: low-density lipoprotein (LDL) cholesterol and non-high-density lipoprotein (NHDL) cholesterol are the most important. Epidemiological and Mendelian randomization studies have confirmed role of raised triglycerides and lipoprotein(a). INTERHEART study reported a significant association of raised ApoB/ApoA1, total-, LDL-, and NHDL-cholesterol in South Asians. Prospective Urban Rural Epidemiology (PURE) study identified raised NHDL cholesterol as the most important risk factor. Regional and multisite epidemiological studies in India have reported increasing population levels of total-, LDL-, and NHDL cholesterol and triglycerides. India Heart Watch reported higher prevalence of total and LDL cholesterol in northern and western Indian cities. ICMR-INDIAB study reported regional variations in hypercholesterolemia (≥200 mg/dl) from 4.6 % to 50.3 %, with greater prevalence in northern states, Kerala, Goa, and West Bengal. Non-Communicable Disease Risk Factor Collaboration and Global Burden of Diseases Studies have reported increasing LDL- and NHDL-cholesterol in India. Studies among emigrant Indians in UK and USA have reported higher triglycerides in compared to Caucasians. Identification of regional variations and trends in dyslipidemias need more nationwide surveys. Prospective studies are needed to assess quantum of risk with CAD incidence.

Hyperspectral imaging of foodborne pathogens at colony and cellular levels for rapid identification in dairy products.

This study evaluated the efficacy of hyperspectral imaging (HSI) for the rapid identification of pathogens in dairy products at the colony and cellular levels. The colony and cellular levels studies were designed as completely randomized with six replications. Three strains of Listeria monocytogenes, four strains of Escherichia coli O157: H7, Big Six Shiga toxin-producing E. coli, three strains of Staphylococcus aureus, and ten serovars of Salmonella were used in this study. Pure cultures were streaked for isolation on respective selective media, and hyperspectral data (400-1100 nm wavelength) at the colony and cellular levels were collected and stored as reference libraries. Whole milk and whole milk powder were artificially inoculated (<10 CFU/g or mL) with individual pathogenic strains/serovars. All milk and milk powder samples were enriched using brain heart infusion (BHI) broth at 37°C for 24 h, streaked for isolation on the respective selective media, and hyperspectral data for individual pathogenic strains/serovars at the colony and cellular levels were acquired and treated as test samples data. The acquired colony or cellular images were imported into ENVI software and three regions of interest were selected for each image to obtain hyperspectral data for reference libraries and test samples. Using the kNN classifier and cross-validation technique, overall classification accuracies of 90.38% and 34% were obtained for the colony- and cellular-level identification, respectively. The individual classification accuracies of pathogens in dairy products at the colony level varied between 77.5% to 100%, whereas the accuracy varied between 2.78% and 49.17% for the cellular level.