Objective:To develop a scientific and practical questionnaire for general practice residents, and to conduct multidimensional and comprehensive evaluation of the quality of general practice teaching clinics.Methods:A preliminary draft of the questionnaire items was formulated based on a literature review and in-depth interviews. The Delphi method was employed to conduct two rounds of consultation with 14 experts. Following revisions, a convenience sampling method was used to invite general practice residents from three standardized residency training bases to test the reliability and validity of the questionnaire.Results:The questionnaire consisted of 23 items, covering the three dimensions of preparation, implementation process, and comprehensive evaluation of the teaching clinics. The response rates for the two rounds of the expert consultation were both 100.00%, with expert authority coefficients of 0.89 and 0.90, respectively. The overall Cronbach's α coefficient of the questionnaire was 0.93, and the correlation coefficients between each item score and the total score were all >0.30. Structural validity analysis revealed that three common factors were extracted from the questionnaire, with a cumulative variance contribution rate of 77.89%. Conclusions:The General Practice Teaching Clinic Quality Evaluation Questionnaire for Residents developed in this study demonstrates high reliability and validity. The questionnaire provides a scientific basis for the standardized assessment of teaching quality in general practice clinics. By incorporating resident feedback on the teaching process, the questionnaire promotes the development of a teaching clinic quality improvement mechanism focused on residents and plays a significant role in enhancing the teaching capabilities of supervising physicians in clinics.

Objective To analyze the effects of different traction sites and directions on the maxilla and upper dentition when using clear aligners combined with protraction for the treatment of maxillary deficiency.Methods A three-dimensional(3D)finite element model including the zygomaticomaxillary complex,maxillary dentition,and clear aligners was constructed.The models were divided into Group 1(traction hook at the distal of the lateral incisor)and Group 2(traction hook at the distal of the canine).Each group was analyzed under four loading conditions with protraction angles of 0°,10°,20°,and 30° relative to the occlusal plane.A unilateral protraction force of 500 g was applied.The differences in stress distribution and displacement of the maxillary bone and dentition under different loading conditions were analyzed.Results When the protraction angle was 30°,both groups showed forward and downward displacement of the maxilla,while other angles resulted in counterclockwise rotation.Under the same protraction direction,the total displacement of the maxilla and displacements in all directions in Group 2 were greater than those in Group 1.The upper central incisors in Group 1 showed lingual displacement,which increased with the protraction angle.The maxillary dentition in Group 2 showed forward displacement,with the minimum total and sagittal displacements at a protraction angle of 30°.Stress concentration was mainly observed in the zygomaticomaxillary suture and anterior alveolar bone regions in both groups,decreasing as the protraction angle increased.Conclusions Clear aligners combined with protraction can be applied to skeletal Class Ⅲ patients with mild maxillary deficiency.When the protraction site is located at the distal of the canine with a 30° downward and forward angle to the occlusal plane,the maxilla can achieve ideal forward and downward displacement with the minimum labial movement of the upper anterior teeth.

The machine learning is used increasingly and widely in acupuncture prescription optimization, intelligent treatment and precision medicine, and has obtained a certain achievement. But, there are still some problems remained to be solved such as the poor interpretability of the model, the inconsistency of data quality of acupuncture research, and the clinical application of constructed models. Researches in future should focus on the acquisition of high-quality clinical and experimental data sets, take various machine learning algorithms as the basis, and construct professional models to solve various problems, so as to drive the high-quality development of acupuncture research.
Acupuncture Therapy/trends* ; Machine Learning ; Humans ; Algorithms

Objective:To develop a scientific and practical questionnaire for general practice residents, and to conduct multidimensional and comprehensive evaluation of the quality of general practice teaching clinics.Methods:A preliminary draft of the questionnaire items was formulated based on a literature review and in-depth interviews. The Delphi method was employed to conduct two rounds of consultation with 14 experts. Following revisions, a convenience sampling method was used to invite general practice residents from three standardized residency training bases to test the reliability and validity of the questionnaire.Results:The questionnaire consisted of 23 items, covering the three dimensions of preparation, implementation process, and comprehensive evaluation of the teaching clinics. The response rates for the two rounds of the expert consultation were both 100.00%, with expert authority coefficients of 0.89 and 0.90, respectively. The overall Cronbach's α coefficient of the questionnaire was 0.93, and the correlation coefficients between each item score and the total score were all >0.30. Structural validity analysis revealed that three common factors were extracted from the questionnaire, with a cumulative variance contribution rate of 77.89%. Conclusions:The General Practice Teaching Clinic Quality Evaluation Questionnaire for Residents developed in this study demonstrates high reliability and validity. The questionnaire provides a scientific basis for the standardized assessment of teaching quality in general practice clinics. By incorporating resident feedback on the teaching process, the questionnaire promotes the development of a teaching clinic quality improvement mechanism focused on residents and plays a significant role in enhancing the teaching capabilities of supervising physicians in clinics.

Objective To analyze the effects of different traction sites and directions on the maxilla and upper dentition when using clear aligners combined with protraction for the treatment of maxillary deficiency.Methods A three-dimensional(3D)finite element model including the zygomaticomaxillary complex,maxillary dentition,and clear aligners was constructed.The models were divided into Group 1(traction hook at the distal of the lateral incisor)and Group 2(traction hook at the distal of the canine).Each group was analyzed under four loading conditions with protraction angles of 0°,10°,20°,and 30° relative to the occlusal plane.A unilateral protraction force of 500 g was applied.The differences in stress distribution and displacement of the maxillary bone and dentition under different loading conditions were analyzed.Results When the protraction angle was 30°,both groups showed forward and downward displacement of the maxilla,while other angles resulted in counterclockwise rotation.Under the same protraction direction,the total displacement of the maxilla and displacements in all directions in Group 2 were greater than those in Group 1.The upper central incisors in Group 1 showed lingual displacement,which increased with the protraction angle.The maxillary dentition in Group 2 showed forward displacement,with the minimum total and sagittal displacements at a protraction angle of 30°.Stress concentration was mainly observed in the zygomaticomaxillary suture and anterior alveolar bone regions in both groups,decreasing as the protraction angle increased.Conclusions Clear aligners combined with protraction can be applied to skeletal Class Ⅲ patients with mild maxillary deficiency.When the protraction site is located at the distal of the canine with a 30° downward and forward angle to the occlusal plane,the maxilla can achieve ideal forward and downward displacement with the minimum labial movement of the upper anterior teeth.

Drug therapy is a common method to cure diseases and relieve symptoms.The value of patient-reported outcome(PRO)in evaluating the effect of drug therapy has been increasingly paid attention.The PRO scale is a standardized questionnaire,which can scientifically evaluate the experiences and subjective effects of drug use from a patient-centered perspective,and help patients and clinicians make more reasonable medication decisions.By reviewing and sorting out relevant global literature,this paper found that the content of the PRO scales relevant to drug therapy focused on five fields:"medication satisfaction""medication adherence""drug treatment burden""medication-related quality of life"and"adverse drug reactions".This paper described the basic information,measurement characteristics and application of common scales in recent years respectively,and summarized and analyzed the problems and enlightenment of scale development,aiming to provide theoretical reference for the selection,application and development of PRO scales.

Teaching clinics represent a unique form of outpatient training of resident physicians and serve as a crucial instrument and core component of standardized training of general practice residents. This article reviews the common model and innovations of teaching clinics of general practice in China, and analyzes their reported effectiveness in enhancing the capabilities of consultation of resident physicians, the teaching capabilities of general practice trainers, as well as satisfaction levels of involved participants. It outlines the challenges encountered in implementing teaching clinics, including inadequate teaching facilities and equipment, incomplete incentive system for teaching, difficulties in patient recruitment, and weaknesses in the teaching capabilities of trainers. To address these challenges, this article proposes corresponding strategies based on realistic needs, including the improvement of facilities and equipment in teaching clinics, the establishment of incentive systems for teaching clinics, the expansion of patient recruitment channels for teaching clinics, and the enhancement of training for trainers' teaching capabilities. This is envisaged to provide both theoretical bases and practical guidance for the effective execution and standardized development of teaching clinics in general practice residency training bases.

OBJECTIVES: To achieve the ambitious goal of eliminating schistosome infections, the Chinese government has implemented diverse control strategies. This study explored the progress of the 2 most recent national schistosomiasis control programs in an endemic area along the Yangtze River in China. METHODS: We obtained village-level parasitological data from cross-sectional surveys combined with environmental data in Anhui Province, China from 1997 to 2015. A convolutional neural network (CNN) based on a hierarchical integro-difference equation (IDE) framework (i.e., CNN-IDE) was used to model spatio-temporal variations in schistosomiasis. Two traditional models were also constructed for comparison with 2 evaluation indicators: the mean-squared prediction error (MSPE) and continuous ranked probability score (CRPS). RESULTS: The CNN-IDE model was the optimal model, with the lowest overall average MSPE of 0.04 and the CRPS of 0.19. From 1997 to 2011, the prevalence exhibited a notable trend: it increased steadily until peaking at 1.6 per 1,000 in 2005, then gradually declined, stabilizing at a lower rate of approximately 0.6 per 1,000 in 2006, and approaching zero by 2011. During this period, noticeable geographic disparities in schistosomiasis prevalence were observed; high-risk areas were initially dispersed, followed by contraction. Predictions for the period 2012 to 2015 demonstrated a consistent and uniform decrease. CONCLUSIONS The proposed CNN-IDE model captured the intricate and evolving dynamics of schistosomiasis prevalence, offering a promising alternative for future risk modeling of the disease. The comprehensive strategy is expected to help diminish schistosomiasis infection, emphasizing the necessity to continue implementing this strategy.

A method capable of retinal vessel segmentation and three-dimensional(3D)reconstruction is proposed for the early diagnosis of diabetic retinopathy.The 3D reconstruction can avoid the misjudgments of blood vessel length,curvature and branch angle after segmentation,which will affect the early diagnosis.IAAnet algorithm for retinal image segmentation combines traditional Unet with Inception V3,atrous spatial pyramid pooling and AttentionGates to reduce information loss and avoid over-fitting,thereby improving the network's ability to extract features.The projection reconstruction method is used to restore the 3D information of blood vessels,and supports the adjustments of brightness and contrast,so that doctors can better observe the real state of blood vessels.The proposed algorithm has an accuracy,recall rate,F1 score,intersection over union and area under ROC curve of 97.68%,96.07%,97.26%,92.79%and 94.00%,respectively.Compared with other networks,IAAnet algorithm exhibits higher segmentation accuracy,and can obtain more vascular information in 3D image after 3D projection reconstruction to assist in the early diagnosis.

Hand, foot and mouth disease (HFMD) is a widespread infectious disease mainly affecting children aged five and under. In China, the current epidemic situation of HFMD remains severe, with a persistently high and increasing incidence rate, causing a substantial disease burden. A monovalent vaccine against Enterovirus A71 (EV-A71), the most common cause of severe and fatal HFMD cases, has been available in China since 2016. Although randomized controlled trials established the vaccine's efficacy among research subjects, this may not reflect the impact under "real world" conditions in the general population. Therefore, based on a systematic literature search, this paper comprehensively reviewed and analyzed relevant studies based on real-world data and collected real-world evidence about the EV-A71 vaccine on the controlling HFMD incidence. It was found that the real-world study of the EV-A71 vaccine on HFMD was few; most were limited to a province or city; there is no study comprehensively considered other important influencing factors in addition to immunization, such as temperature, relative humidity, the age structure of the population, gross domestic product, etc. The progress of using real-world data to study the impact of the EV-A71 vaccine on HFMD reviewed in this study is helpful to have a clear and comprehensive understanding of the status quo and will provide guidance and reference for future studies to assess the short-term and long-term effects of EV-A71 vaccine and other vaccines.