As the core vehicle for preserving and transmitting traditional Chinese medicine（TCM） academic thought and clinical experience， the establishment of a robust quality evaluation system for TCM clinical case reports is a crucial component in the current standardization and modernization of TCM. Based on the practical experience of constructing the China Clinical Cases Library of Traditional Chinese Medicine by the China Association of Chinese Medicine， this study conducted a comprehensive analysis of critical challenges， including insufficient authenticity and unfocused evaluation criteria. It proposed a three-dimensional evaluation framework grounded in the structure-process-outcome logic， encompassing three dimensions of authenticity and standardization， characteristics and advantages， application and translational impact. This framework integrated 12 key evaluation indicators in a systematic manner. The model preserved the academic characteristics of TCM syndrome differentiation and treatment， while aligning with modern scientific research standards， achieving a balance between individualized TCM experience and standardized evaluation. Concurrently， this study provided theoretical foundations and methodological guidance for evaluating the quality of TCM clinical cases， contributing significantly to the inheritance of TCM knowledge， evidence-based practice， and the reform of talent evaluation mechanisms.

Objective Objective To analyze the potential spatial factors affecting the genetic differentiation of Oncomelania hupensis robertsoni in Yunnan Province. Methods A total of 13 administrative villages were selected from schistosomiasis-endemic areas of Yunnan Province as O. hupensis snail sampling sites. At least 200 snails were collected in each site, and the spatial variable data of each site were recorded, including longitude, latitude and altitude. Thirty active and Schistosoma japonicum uninfected O. hupensis snails were selected from each sampling site by means of the crawling method and the cercarial shedding method. Genomic DNA was extracted from O. hupensis snails. Following PCR amplification, purification of PCR amplification products and sequencing, the gene sequences of O. hupensis snail samples were spliced and edited using the DNAstar software and the NCBI database to yield the complete mitochondrial sequences of O. hupensis snails at each sampling site, and the mitochondrial genetic distance matrix of O. hupensis robertsoni was calculated at each sampling site. The geographical coordinates of each sampling site were marked using the software ArcGIS 10.2, and the straight-line geographical distance between each sampling site was calculated. The altitude difference, longitude difference and latitude difference between each sampling site were calculated using the Excel software, and the correlation between the mitochondrial genetic distance matrix of O. hupensis robertsoni and each spatial variable matrix was examined by using the Mantel test at 13 sampling sites in Yunnan Province. Results Among the 13 O. hupensis snail sampling sites in Yunnan Province, the largest mitochondrial genetic distance of O. hupensis robertsoni snail populations was seen between Anding Village, Nanjian Yi Autonomous County and Caizhuang Village, Midu County (26.244 2), and the largest geographical distance was seen between Dongyuan Village, Gucheng District and Cangling Village, Chuxiong County (272.64 km). The highest altitude difference was seen between Anding Village, Nanjian Yi Autonomous County and Dongyuan Village, Gucheng District (1 086.10 m), and the largest longitude difference was found between Qiandian Village, Eryuan County and Cangling Village, Chuxiong County (1.86°), while the largest latitude difference was measured between Leqiu Village, Nanjian Yi Autonomous County and Dongyuan Village, Gucheng District (1.81°). In addition, the mitochondrial genetic distance of O. hupensis robertsoni snail populations was positively correlated with altitude at 13 snail sampling sites in Yunnan Province (r = 0.542 8, P < 0.001), and showed no significant correlations with geographical distance (r = 0.093 4, P > 0.05), longitude (r = −0.199 5, P > 0.05) or latitude (r = 0.205 7, P > 0.05). Conclusion Altitude may be a potential spatial factor affecting the genetic differentiation of O. hupensis robertsoni in Yunnan Province.

Objective To explore the value and operational effectiveness of establishing a donor care unit (DCU). Methods A single-center retrospective cohort study design was adopted. The DCU of the Transplant Center of the Second Affiliated Hospital of Guangxi Medical University was officially put into use on August 1, 2023. As of April 30, 2024, 200 donors were divided into the DCU group (n=107) and the non-DCU group (n=93) based on the different donor maintenance sites. Baseline data of donors, organ maintenance management indicators, organ output and utilization were collected and analyzed; simultaneously, the perioperative effects and 1-year postoperative prognosis of 314 recipients undergoing kidney transplantation at the Transplant Medicine Institute of the Second Affiliated Hospital of Guangxi Medical University were tracked. Results Compared with the non-DCU group, the usage rate of vasoactive drugs in the DCU group was lower, the completeness rate of pathogen culture and the proportion of daytime organ acquisition surgeries were higher, the cold ischemia time of the liver was shorter, the professional maintenance time of donors was longer, but the total hospitalization cost of donors was higher (all P<0.05). The 24-hour urine volume of donors in the DCU group increased, the level of creatine kinase decreased, and electrolyte indicators such as procalcitonin, lactate, blood sodium and blood chloride improved (all P<0.05). The cardiac output rate of donors in the DCU group was higher than that of the non-DCU group (P<0.05). The perioperative indicators, 1-year postoperative survival rates and graft survival rates of kidney transplant recipients in both groups were similar, but the serum creatinine level of recipients in the DCU group was lower after 1 year (P<0.05). Conclusions The management and operation efficiency of the DCU are good. By monitoring and regulating the stable physiological state of donors, the quality of organs is guaranteed, thereby improving cardiac output rate and short-term function of the transplanted kidney. The total hospitalization cost of donors is higher, and its comprehensive benefits need to be studied. However, it provides preliminary evidence-based basis for the clinical application of the DCU.

Objective To develop an assessment scale for post-intensive care syndrome in pediatrics(PICS-p)and evaluate its reliability and validity,aiming to provide a scientifically sound and feasible tool for clinical assessment.Methods Based on the PICS-p conceptual framework,combined with literature review,semi-structured interviews,and Delphi expert consultation,a preliminary scale was developed.From June to December 2023,a survey was conducted among 330 pediatric patients who were discharged from a tertiary children's hospital in Hangzhou,followed by a two-week retest with 30 children to assess the reliability and validity of the scale.Results Finally 304 children completed the survey.The Post-Intensive Care Syndrome Scale for Children consists of 4 dimensions of physical dysfunction,cognitive dysfunction,psychological dysfunction and social dysfunction,with a total of 29 entries,with a cumulative variance contribution of 61.705％.The content validity index for individual items ranged from 0.800 to 1.000,and the content validity index for the scale as a whole was 0.98.The dimensions of the scale showed positive correlations with the Functional Status Scale(r=0.438-0.581,P＜0.001).The overall Cronbach's α coefficient of the scale was 0.847;the split-half reliability was 0.868;the test-retest reliability was 0.832.Conclusion The scale demonstrates good reliability and validity,and it is suitable for assessing the severity of PICS-p in pediatric patients discharged from the PICU.

Objective:To evaluate the accuracy of L-shaped reduction malarplasty under the guidance of virtual surgical planning (VSP).Methods:The data of adult female patients who were diagnosed with zygomatic protrusion or hypertrophy at Department of Orthognathic and Temporo-mandibular Joint Surgery, West China Hospital of Stomatology, Sichuan University, from January 2018 to December 2020 were analyzed retrospectively. L-shaped reduction malarplasty with or without bone resection and with the mortice and tenon joint structure on the zygomatic arch was conducted either by digital procedures comprising VSP and three-dimensional printing titanium templates (digtal surgery group) or by conventional method (control group). The incidence of postoperative complications and the patient postoperative satisfaction [using a Likert scale with a score ranging from 1 to 5, representing very dissatisfied, dissatisfied, average, satisfied and very satisfied, satisfaction rate = (very satisfied + satisfied)/ total number of patients × 100%] were statistically analyzed in the two groups. The differences in the postoperative symmetry of the zygomatic complex between the digital group and the control group were analyzed by three-dimensional cephalometry. The accuracy of VSP in L-shaped reduction malarplasty was evaluated by comparing the preoperative design model with the actual postoperative model in the digital group. The statistical analyses were conducted using SPSS 24.0 software. The chi-square test was used in the comparison of surgical complications and patient satisfaction rates. The symmetry of bilateral landmarks in the three-dimensional direction between the two groups was evaluated using the independent t-test, and the pre- and post-operative measurements in the digital group were compared using paired t-test. Results:A total of 78 patients were included, with 36 in the digital group, aged (25.2±3.6) years, and 42 in the control group, aged (24.3±2.8) years. Satisfactory reduction of zygomatic protrusion or hypertrophy was recognized among all patients. Compared with the control group, the digital group had lower percentage of complications [25% (9/36) vs. 55% (23/42)] and higher postoperative satisfaction [78% (28/36) vs. 48% (20/42)], both of which were statistically significant (all P<0.01). Regarding the symmetry of bilateral zygomatic complexes, the average deviations of ΔZb (bottom point of zygoma) in the digital group in the horizontal, vertical, and sagittal directions [(1.05±0.24), (1.05±0.24), (1.00±0.88) mm] were significantly smaller than those in the control group [(2.03±0.58), (1.32±0.68), (1.47±0.47) mm], with statistically significant differences (all P<0.05). The bone segment movements of virtual plans and actual result in the digital surgery group were measured and showed no obvious difference for the inward movement [(5.42±0.98) mm vs. (5.33±0.93) mm] and the sagittal overlap [(4.87±1.21) mm vs. (4.77±1.32) mm] at the zygoma roots, along with the step length at the long-arm of the L-shaped osteotomy line [(2.43±1.11) mm vs. (2.39±0.89) mm] (all P>0.05). The mean differences of facial width and protrusion measurements between virtual simulations and actual result in the digital group ranged from (1.13±0.47) mm to (2.07±0.88) mm, with no significant differences( P>0.05). Meanwhile, the high resemblance between virtual plans and actual result was depicted via superimposition models, with a deviation controlled within ±0.5 mm. Conclusion:The application of VSP in reduction malarplasty significantly improved surgical accuracy and reduced difficulties in the operation, which would improve patients’ postoperative satisfaction.

Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans ; Denture, Complete ; Computer-Aided Design ; Denture Design/methods* ; Consensus ; Printing, Three-Dimensional

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Idiopathic gingival fibromatosis is a rare, benign condition of unknown etiology characterized by extensive gingival overgrowth. This case reports a severe skeletal Class Ⅱ adult female patient with idiopathic gingival fibromatosis. The patient underwent multidisciplinary treatment involving periodontics, orthodontics, and orthognathic surgery, resulting in remarkable crown height elongation, substantial improvements in occlusal function and aesthetics, and stable long-term follow-up outcomes. This case provides a reference for future clinical practice.
Humans ; Female ; Malocclusion, Angle Class II/complications* ; Fibromatosis, Gingival/complications* ; Adult ; Orthodontics, Corrective ; Orthognathic Surgical Procedures

Objective To investigate the feasibility and accuracy of an ultrasound-based transfer learning artificial intelligence model in predicting the malignancy probability of partially cystic thyroid nodules(PCTN).Methods A retrospective analysis was conducted on 246 patients with PCTN who had definitive pathological results and were admitted to Weihai Municipal Hospital,Cheeloo College of Medicine,Shandong University from January 2021 to December 2023.Patients were randomly divided into training and test cohorts at a ratio of 7:3.Ultrasonic image features of PCTN were evaluated,and independent risk factors were identified using multivariate logistic regression analysis,with the area under the curve(AUC)subsequently calculated.Additionally,five different pre-trained models-Inception_v3,EfficientNet,VGG19,ResNet50,and DenseNet121-were selected for transfer learning after data preprocessing using the PyTorch framework in Python.The AUC values of these models were calculated and compared.Results Solid portion greater than 50%,eccentric acute angle,ill-defined margin,spiculated or microlobulated margin,rim calcification,and microcalcification exhibited statistically significant differences(P<0.05)in distinguishing between benign and malignant PCTN.The AUC value derived from these independent risk factors was 0.843.Furthermore,among the five transfer learning models evaluated,the ResNet50 model demonstrated the highest diagnostic efficiency,achieving an AUC value of 0.903 2.Conclusion The ultrasound-based transfer learning artificial intelligence model demonstrated superior performance compared to traditional ultrasound image evaluation methods,enabling accurate prediction of the nature of PCTN and thereby reducing unnecessary ultrasound-guided fine needle biopsies.

Objective To study the transcriptional expression of Chlorophyti Laxi R.Br.using high-throughput sequencing technology.Methods Total RNA of Chlorophtum laxum R.Br.was extracted,followed by library construction,sequencing,and de novo assembly to obtain unigene sequences.These sequences were then annotated and compared to acquire genetic information of the Chlorophtum laxum R.Br.transcriptome.Results A total of 29 325 unigene were identified,with an average length of 1 026 bp and an N50 of 1 697 bp.Among them,20 338 unigene were functionally annotated in at least one database,with Chlorophtum laxum R.Br.showing the highest sequence similarity to Asparagus officinalis.In the Kyoto Encyclopedia of Genes and Genomes(KEGG)database,13 392 unigene were annotated,including genes involved in flavonoid biosynthesis and ubiquinone and other terpenoid-quinone biosynthesis pathways.Thirty-five upstream genes related to Chlorophtum laxum R.Br.saponin biosynthesis were identified.In the Gene Ontology(GO)database,16 728 unigene were annotated,covering cellular anatomical entities,binding,and biological processes.Using the Microsatellite Identification Tool(MISA),11 486 assembled unigene longer than 1 000 bp were analyzed for simple sequence repeats(SSRs),resulting in the identification of 5 178 SSR loci,for which primers were designed using Primer 3.0.By comparing Chlorophtum laxum R.Br.unigene with the transcription factor database,657 transcription factors,including bHLH,MYB,and WRKY,were identified.Conclusion The transcriptome data provide a foundation for studying the biosynthetic pathways and functional genes of medicinal active components in Chlorophtum laxum R.Br.,and also contribute to the conservation and development of its resources.