To analyze the disease burden, temporal trends, and attributable risk factors of early-onset female breast cancer (EOBC) in China and globally from 1990 to 2021.

BACKGROUND:In recent years,deep learning technologies have been increasingly applied in the field of oral medicine,enhancing the efficiency and accuracy of oral imaging analysis and promoting the rapid development of intelligent oral medicine. OBJECTIVE:To elaborate the current research status,advantages,and limitations of deep learning based on oral imaging in the diagnosis and treatment decision-making of oral diseases,as well as future prospects,exploring new directions for the transformation of oral medicine under the backdrop of deep learning technology. METHODS:PubMed was searched for literature related to deep learning in oral medical imaging published from January 2017 to January 2024 with the search terms"deep learning,artificial intelligence,stomatology,oral medical imaging."According to the inclusion criteria,80 papers were finally included for review. RESULTS AND CONCLUSION:(1)Classic deep learning models include artificial neural networks,convolutional neural networks,recurrent neural networks,and generative adversarial networks.Scholars have used these models in competitive or cooperative forms to achieve more efficient interpretation of oral medical images.(2)In the field of oral medicine,the diagnosis of diseases and the formulation of treatment plans largely depend on the interpretation of medical imaging data.Deep learning technology,with its strong image processing capabilities,aids in the diagnosis of diseases such as dental caries,periapical periodontitis,vertical root fractures,periodontal disease,and jaw cysts,as well as preoperative assessments for procedures such as third molar extraction and cervical lymph node dissection,helping clinicians improve the accuracy and efficiency of decision-making.(3)Although deep learning is promising as an important auxiliary tool for the diagnosis and treatment of oral diseases,it still has certain limitations in model technology,safety ethics,and legal regulation.Future research should focus on demonstrating the scalability,robustness,and clinical practicality of deep learning,and finding the best way to integrate automated deep learning decision support systems into routine clinical workflows.

Objective To establish an effective management mode, play the full role of DRGs in rational drug use, formulate the pharmaceutical clinical path, and intervene the prescription behavior of doctors, which could improve the level of rational drug use in the hospital through the management practice of rational drug use under the payment method of DRGs in a third-grade hospital. Methods A drug entering mechanism, a rational drug use supervision mechanism and an active and rational drug use data exposure mechanism based on DRGs were established, and the rational drug use indicators such as drug consumption index, average drug cost, and auxiliary drug use were accurately positioned based on the information platform, and the accurate and refined management of rational drug use was realized through the daily supervision of the office of the Pharmaceutical Affairs Committee. Results and Conclusion Under the multi-dimensional and multi-level rational drug use management based on DRGs, the effect of rational drug use was evaluated after the reform of DRGs payment method, and all the index of rational drug use in our hospital were continuously improved.

Objective:To explore the application of integrating cutting-edge disciplinary progress into VR immersive teaching in general surgery training.Methods:A total of 80 students who underwent rotational training in the General Surgery Department of Jiangsu Cancer Hospital from 2019 to 2023 were selected as the research subjects. They were divided into a control group and an observation group (40 students in each group) based on the order of admission. The control group received traditional teaching, while the observation group received VR immersive teaching integrated with cutting-edge disciplinary progress. After the teaching, the comprehensive abilities of the two groups of trainees and the satisfaction of teacher-student mutual evaluation were assessed. The t-test was performed using SPSS 22.0. Results:Before teaching, there were no significant differences between the two groups of trainees in scores of theoretical knowledge, health education, basic operations, and specialized operations. After teaching, trainees in the observation group showed significantly higher scores than those in the control group in theoretical knowledge, health education, basic operations, and specialized operations ( P<0.001). Teachers of the observation group scored significantly higher than those of the control group in terms of work ability, work attitude, learning and enterprising spirit, errors and accidents, ideological and moral character, labor discipline, mental health status, and overall satisfaction of the trainees ( P<0.05). Trainees of the observation group scored significantly higher than those of the control group in terms of training teaching activities, professional teaching ability, teaching attitude, self-cultivation work ability, and overall satisfaction of the teachers ( P<0.05). Conclusions:The integration of cutting-edge disciplinary progress into VR immersive teaching improves the comprehensive abilities of trainees and the quality of clinical teaching, as well as the satisfaction of teacher-student mutual evaluation.

Background::Coronavirus disease 2019 (COVID-19) has potential risks for both clinically worsening pulmonary hypertension (PH) and increasing mortality. However, the data regarding the protective role of vaccination in this population are still lacking. This study aimed to assess the safety of approved vaccination for patients with PH.Methods::In this national prospective cohort study, patients diagnosed with PH (World Health Organization [WHO] groups 1 and 4) were enrolled from October 2021 to April 2022. The primary outcome was the composite of PH-related major adverse events. We used an inverse probability weighting (IPW) approach to control for possible confounding factors in the baseline characteristics of patients.Results::In total, 706 patients with PH participated in this study (mean age, 40.3 years; mean duration after diagnosis of PH, 8.2 years). All patients received standardized treatment for PH in accordance with guidelines for the diagnosis and treatment of PH in China. Among them, 278 patients did not receive vaccination, whereas 428 patients completed the vaccination series. None of the participants were infected with COVID-19 during our study period. Overall, 398 patients received inactivated severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine, whereas 30 received recombinant protein subunit vaccine. After adjusting for baseline covariates using the IPW approach, the odds of any adverse events due to PH in the vaccinated group did not statistically significantly increase (27/428 [6.3%] vs. 24/278 [8.6%], odds ratio = 0.72, P = 0.302). Approximately half of the vaccinated patients reported at least one post-vaccination side effects, most of which were mild, including pain at the injection site (159/428, 37.1%), fever (11/428, 2.6%), and fatigue (26/428, 6.1%). Conclusions::COVID-19 vaccination did not significantly augment the PH-related major adverse events for patients with WHO groups 1 and 4 PH, although there were some tolerable side effects. A large-scale randomized controlled trial is warranted to confirm this finding. The final approval of the COVID-19 vaccination for patients with PH as a public health strategy is promising.

Objective To systematically review the efficacy of multiple doses and single dose of perioperative dexamethasone on pain and recovery after total knee arthroplasty(TKA).Methods PubMed,Embase,Cochrane Library,Web of Science,CNKI,WanFang Data,SinoMed and VIP databases were electronically searched to collect randomized controlled trials(RCTs)on multiple doses and single dose of dexamethasone during perioperative period of TKA from inception of the databases to January 4,2024.Two reviewers independently screened the literature,extracted data and assessed the risk of bias of the included studies.Meta-analysis was performed by using RevMan 5.4 software.Results A total of 6 studies involving 674 patients were included,336 patients in single dose dexamethasone group and 338 patients in multiple dose dexamethasone group.The results of Meta-analysis showed that compared with single dose of dexamethasone,multiple doses of perioperative dexamethasone could significantly decrease the pain scores at rest at 48 h after TKA(SMD=-0.68,95%CI-1.05 to-0.30,P﹤0.001),the pain scores with movement at postoperative 48 h(SMD=-0.86,95%CI-1.37 to-0.34,P=0.001),C-reactive protein(CRP)levels at postoperative 48 h(MD=-4.43,95%CI-6.70 to-2.16,P﹤0.001)and CRP levels at postoperative 72 h(MD=-3.60,95%CI-5.53 to-1.67,P﹤0.001).There was no statistically significant difference between the two groups regarding pain scores at rest at postoperative 24 h and 72 h,pain scores with movement at postoperative 24 h and 72 h,incidence of postoperative nausea and vomiting(PONV),CRP levels at postoperative 24 h,length of hospital stay,and incidence of adverse drug reactions(P>0.05).The results of 5 studies showed that multiple doses of dexamethasone did not increase the dosage or patient proportion of remedial analgesics.Conclusion Current evidence shows that compared with single dose of dexamethasone,multiple doses of perioperative dexamethasone can significantly reduce pain scores at postoperative 48 h,CRP levels at postoperative 48 and 72 h after TKA,but it does not significantly reduce the incidence of PONV,hospital stay,or increase the risk of adverse drug reactions.

Objective To observe the value of parallel acquisition technique(PAT)combined with deep learning reconstruction(DLR)for shoulder joint MRI.Methods Totally 74 subjects who underwent shoulder joint MR scanning were prospectively enrolled.Shoulder joint MRI were acquired using standard sequence(group A),PAT accelerated sequence(group B)and PAT accelerated sequence combined with DLR(group C),respectively.Subjective evaluation of overall image quality,artifacts and clarity of anatomical structures(including articular cartilages,ligaments and bone marrow)were performed using a 5-point scale,and signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of articular cartilages were calculated for objective evaluation,which were then compared among groups.Results No significant difference of the subjective scores of overall image quality,artifacts nor clarity of anatomical structures was found between group A and C(all P＞0.05),which were all higher than those in group B(all P＜0.05).SNR and CNR of articular cartilages of shoulder joint MRI in group C,A,B decreased in order(all P＜0.05).Conclusion PAT combined with DLR could shorten scanning time of shoulder joint MRI,reduce image noise and improve image quality.

Objective:To systematically retrieve, analyze and evaluate risk prediction models of postoperative urinary retention, so as to provide a basis for the application and optimization of the model.Methods:The research on the risk prediction model of postoperative urinary retention was electronically retrieved in PubMed, Web of Science, Embase, Cochrane Library, CINAHL, China National Knowledge Infrastructure, WanFang Data, VIP, China Biology Medicine disc and other databases. The language of the literature was Chinese or English. The search period was from database establishment to February 20, 2023. Two researchers independently conducted literature screening and data extraction, and independently evaluated the bias risk and applicability of the included literature using the Prediction Model Risk of Bias Assessment Tool.Results:A total of 10 articles were included, including 17 risk prediction models for postoperative urinary retention. The areas under the receiver operating characteristic curve of 17 models were 0.700 to 0.920. The five most common predictors included in the model were age, gender, postoperative analgesia, diabetes, and operation time. The applicability of the model was good among the 10 studies, but there was some bias, mainly due to insufficient sample size, neglect of missing data and processing methods, overfitting issues, conversion of continuous variables into binary variables, and use of single factor screening for predictive factors.Conclusions:The risk prediction model of postoperative urinary retention has good prediction performance, but there is a certain risk of bias. The clinical value of the model needs further verification. External validation and continuous optimization are required for existing prediction models. Prospective research should also be carried out to develop a universal prediction model with good prediction performance, so as to provide an accurate and practical tool for clinical evaluation of postoperative urinary retention.

Objective:To investigate the incidence and influencing factors of olfactory dysfunction in postoperative laryngeal cancer patients.Methods:From November 2022 to August 2023, totally 76 postoperative laryngeal cancer patients admitted to the Department of Head and Neck Surgery at Zhejiang Cancer Hospital were selected by convenience sampling. General information questionnaire and the T&T olfactometer were used for assessment. Multiple linear regression analysis was conducted to explore the influencing factors of olfactory dysfunction in postoperative laryngeal cancer patients.Results:The T&T olfactometer score for the 76 postoperative laryngeal cancer patients at two weeks post-surgery was (4.74±0.93). Olfactory dysfunction occurred in 76 patients, with 25 cases of anosmia, 33 cases of severe hyposmia, 17 cases of moderate hyposmia, and one case of mild hyposmia. Multiple linear regression analysis revealed that age, educational level, surgical method, and smoking history were influencing factors for olfactory dysfunction in these postoperative laryngeal cancer patients.Conclusions:Postoperative laryngeal cancer patients experience varying degrees of olfactory dysfunction. Healthcare providers should pay special attention to older patients, those with lower educational levels, those undergoing total laryngectomy, and those with a history of smoking. Designing practical olfactory rehabilitation programs and implementing early olfactory training methods can help reduce the incidence of olfactory dysfunction.

Objective To explore the differences in scapular motion and shoulder function between patients suffering from rotator cuff tears(RCT)with and without type Ⅲ scapular dyskinesis(SD).Meth-ods Between September 2021 and March 2023,sixteen patients suffering from rotator cuff tears with SD(SD group)and 17 counterparts without SD(non-SD group)were recruited from the Sports Hospital of the General Administration of Sport of China.Their scapular motion was assessed by measuring three parameters in the X-rays,including scapular spine line(LSS),scapular upward rotation angle(SU-RA),and coracoid upward shift distance(CUSD).Moreover,their shoulder range of motion in flexion,abduction and external rotation were recorded,and further evaluated using the Pain Visual Analog Scale(VAS)and American Shoulder and Elbow Surgeons Score(ASES).Results No significant differenc-es were found between the two groups in the average score of SURA,CUSD and LSS at 0°～30° shoul-der abduction,or in that of CUSD and LSS at 60°～90°shoulder abduction.However,the average SU-RA score of the SD group at 60°～90°shoulder abduction was significantly greater than the other group(P<0.05).The shoulder ranges of motion during active flexion,abduction and external rotation were significantly smaller in the SD group than in the non-SD group(P<0.05).Moreover,the average VAS score in the SD group was significantly higher than the non-SD group(P<0.05),while the average ASES score was significantly lower than the latter group(P<0.05).Conclusions RCT patients type III SD exhibits greater scapular upward rotation during shoulder abduction compared to those without SD.Moreover,the former patients suffer from more severe pain and have worse shoulder range of motion and functional performance than the latter.