The prevalence of Class III malocclusion varies among different countries and regions. The populations from Southeast Asian countries (Chinese and Malaysian) showed the highest prevalence rate of 15.8%, which can seriously affect oral function, facial appearance, and mental health. As anterior crossbite tends to worsen with growth, early orthodontic treatment can harness growth potential to normalize maxillofacial development or reduce skeletal malformation severity, thereby reducing the difficulty and shortening the treatment cycle of later-stage treatment. This is beneficial for the physical and mental growth of children. Therefore, early orthodontic treatment for Class III malocclusion is particularly important. Determining the optimal timing for early orthodontic treatment requires a comprehensive assessment of clinical manifestations, dental age, and skeletal age, and can lead to better results with less effort. Currently, standardized treatment guidelines for early orthodontic treatment of Class III malocclusion are lacking. This review provides a comprehensive summary of the etiology, clinical manifestations, classification, and early orthodontic techniques for Class III malocclusion, along with systematic discussions on selecting early treatment plans. The purpose of this expert consensus is to standardize clinical practices and improve the treatment outcomes of Class III malocclusion through early orthodontic treatment.
Humans ; Malocclusion, Angle Class III/classification* ; Orthodontics, Corrective/methods* ; Consensus ; Child

To develop a milestone-based evaluation system for the core "knowledge and skills" competency of neurology residents that is tailored to China's medical context, so as to provide precise guidance for their training and assessment.

Objective To establish the reference intervals for test indicators of thyroid function,namely thyroid stimulating hormone(TSH),free thyroxine(FT4),and free triiodothyronine(FT3),in the children aged 0 to 15 years old in Nanning,China.Methods A total of 1 289 healthy children aged 0 to 15 years old who attended the Guangxi International Zhuang Medicine Hospital Affiliated with Guangxi University of Chinese Medicine from October 2018 to August 2023 were selected.The concentrations in serum TSH,FT4,and FT3 were measured by chemiluminescent microparticle immunoassay(CMIA).According to the Clinical and Laboratory Standards Institute(CLSI)EP28-A3c guideline,the nonparametric percentile method was used to establish the reference intervals for TSH,FT4,and FT3 in the children aged 0 to 15 years old in Nanning area.Results The established reference intervals were as follows:TSH(male):0 to＜1 month:0.88-7.81 μIU/mL,1 month to 15 years:0.59-5.06 μIU/mL;TSH(female):0 to＜1 month:0.93-8.42μIU/mL,1 month to 15 years:0.60-4.30 μIU/mL.FT4(male):0 to＜1 month:0.99-1.92 pg/mL,1 month to 15 years:0.86-1.33 pg/mL;FT4(female):0 to＜1 month:1.05-2.06 pg/mL,1 month to 15 years:0.85-1.37 pg/mL;FT3:0 to＜1 month:2.16-4.24 pmol/L,1 month to＜11 years:2.75-4.49 pmol/L,11 to 15 years:2.45-4.34 pmol/L.Significant differences were observed among different gender and age groups for TSH,FT4,and FT3 levels(P＜0.05).Conclusion This study successfully established the refer-ence intervals of TSH,FT4,and FT3 in the children aged 0 to 15 years old in Nanning area,which were significantly different among various gender and age groups.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

ObjectiveTo analyze the research hotspots and frontier trends in the field of early screening tools of autism spectrum disorder (ASD) over the past two decades. MethodsThe literature on early screening tools for ASD was searched in Web of Science core collection database from 2002 to 2022. CiteSpace was used for cluster analysis of keywords, to draw knowledge mapping. Research disciplines were analyzed and comprehensively interpreted. ResultsA total of 115 articles were included. The number of researches on early screening tools for ASD had been increasing over the past two decades. The research disciplines with higher publication volume included pediatrics, neurology and neuroscience, and psychology. A total of 191 keywords were identified, and the LLR keyword clustering analysis yielded eleven clusters. ConclusionModified Checklist for Autism in Toddlers, Revised with Follow-up (M-CHAT-R/F) and Brief Infant-Toddler Social and Emotional Assessment (BITSEA) have been subjected to large-scale sample screening and follow-up observation for validity, demonstrating good psychometric properties and high clinical diagnostic value. The development of new early screening tools for ASD, validation of the reliability and validity of different language versions of the M-CHAT-R/F, and research on digital and networked M-CHAT-R/F are current research hotspots. Cultural adaptation of early screening tools for ASD and their application within the developmental monitoring framework may represent frontier research trends.

Objective:To evaluate the diagnostic performance of the prostate imaging reporting and data system version 2.1 (PI-RADS v2.1) based on multiparametric MRI (mpMRI) in the detection of clinically significant prostate cancer (csPCa).Methods:A total of 561 patients who underwent prostate mpMRI in the First Affiliated Hospital of Guangxi Medical University from June 2015 to December 2020 due to elevated prostate specific antigen were collected ambispectively. The patients were divided into csPCa group (276 cases) and non-csPCa group (285 cases) according to pathological findings. Prostate were scored according to the PI-RADS v2.1 scoring standard by a junior and a senior radiologist. The prostate volume was measured and the prostate specific antigen density (PSAD) was calculated. The diffusion-weighted imaging and dynamic contrast-enhanced MRI images were processed to measure the quantitative parameters of the index lesion, including apparent diffusion coefficient (ADC), volume transfer constant (K trans) and rate constant (K ep) values. The Mann-Whitney U test was used to compare the difference in parameters between the two groups. The predictors of csPCa were screened by logistic regression analysis. Predictive model of multi-parameter was established. The receiver operator characteristic curves were used to evaluate the efficacy of PI-RADS v2.1 and the model in diagnosing csPCa, and the comparisons of area under the curve (AUC) were conducted by DeLong test. Results:Compared with non-csPCa group, the patients in csPCa group had higher PI-RADS score of senior physician, PSAD, K trans and K ep value, lower ADC value ( Z=-16.69, -12.49, -3.43, -4.67, 13.91, all P<0.001). The PI-RADS scores of senior physician (OR=3.064, 95%CI 2.428-3.866, P<0.001), PSAD (OR=1.554, 95%CI 1.170-2.064, P=0.002) and ADC value (OR=0.095, 95%CI 0.032-0.288, P<0.001) were the predictors of csPCa. The AUC of junior, senior physician PI-RADS and combined prediction model were 0.861 (95%CI 0.830-0.892), 0.895 (95%CI 0.868-0.922) and 0.923 (95%CI 0.898-0.944). The pairwise difference was statistically significant (the PI-RADS score between the junior and senior physicians Z=3.24, P=0.001, the difference between the PI-RADS score of junior physician and prediction model Z=5.54, P<0.001, the difference between the PI-RADS score of senior physician and prediction model Z=4.20, P<0.001). Conclusion:Based on mpMRI, the application of PI-RADS v2.1 by junior and senior radiologists has the high diagnostic efficacy for csPCa, and the multi-parameter model has the best diagnostic efficacy for csPCa.