ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

Health economics evidence plays an important role in linking clinical value evidence with health resource allocation decisions in the development of clinical practice guidelines. It can not only effectively balance clinical effectiveness and economic feasibility but also avoid forming "idealized" recommendations that are detached from the affordability of the healthcare system or the burden-bearing capacity of patients. To promote guideline developers to use health economics evidence more standardizedly and fully, this paper conducts an in-depth analysis of the current application status, existing challenges, access channels, and application processes of health economics evidence in current guidelines, and on this basis, puts forward considerations and suggestions for strengthening and standardizing the application of health economics evidence in China's clinical practice guidelines.

Objective:To assess the quality of life in college students and to explore its related factors.Met-hods:A sample of 1 423 college students were recruited and assessed with the short form Quality of Life Scale-12(SF-12),Patient Health Questionnaire-9(PHQ-9),Generalized Anxiety Disorder-7(GAD-7),Insomnia Severity Index(ISI),Somatic Symptom Scale-8(SSS-8),Sick,Control,One,Fat and Food(SCOFF),Perceived Stress Scale(PSS-10),and Brief Version of the Difficulties in Emotion Regulation Scale(DERS-16)to evaluate quality of life,depressive,anxiety,insomnia severity,somatic symptoms,eating disorders,stress perception,and emotion regulation abilities,respectively.A self-made self-injury risk screening questionnaire was used to screen self-harm thoughts and behaviors.Results:In the sample,the rates of college students with SF-12 mental and physical quality of life scores below 50 were 81.7％and 47.8％,respectively.Multiple linear regression analysis showed that there was a positive association between family per capita monthly income and SF-12 mental quality of life scores(β=0.04,P＜0.05),while PSS-10(β=-0.27,P＜0.001),PHQ-9(β=-0.25,P＜0.001),DERS-16(β=-0.23,P＜0.001),and GAD-7(β=-0.11,P＜0.001)scores were negatively associated with SF-12 mental quality of life scores.The SSS-8 scores were negatively associated with SF-12 physical quality of life scores(β=-0.45,P＜0.001).Conclusion:The study shows that a higher percentage of college students have a lower quality of life;the higher the levels of perceived stress,depression,emotional regulation difficulties,and anxiety,the lower the mental quality of life,and the more severe the physical discomfort symptoms,the lower the physical quality of life.

Objective To investigate the cellular characteristics in the development of retinal tumors induced by MY-CN overexpression,and to find the key proteins that play an important role in this process.Methods T-MYCN Y1 and Y2 cells cultured in vitro for 1 year and 2 years were selected for the experiment.The WERI-RB-1 cell line obtained from Shanghai Cell Bank of Chinese Academy of Sciences was taken as the mature retinoblastoma(RB)control(WERI-Rb-1 group).Untreated normal human retinal tissues were used as the control group.Cells were inoculated into a 24-well plate at a density of 1 × 104 cells per well,and the cell morphology was observed under a microscope and images were collected.Cell count was performed on the 4th,8th and 12th day after inoculation.Immunofluorescence staining was employed to de-tect the expression of the proliferation marker Ki67 and cone cell marker L/M opsin in each group.Quantitative real time polymerase chain reaction(qRT-PCR)was utilized to assess the expression of MYCN,CCNB1,CDK1,SYK,and RXRγ in cells across all groups.Proteomics analysis was performed to detect variations in protein expression profiles across groups and to identify key regulatory genes.Subsequently,cell growth and proliferation were evaluated after OTX2 knockdown by lentiviruses.Results The growth curve showed that there were(59.17±4.01)× 104 cells in the T-MYCN Y1 group,(85.14±4.54)× 104 cells in the T-MYCN Y2 group and(100.73±1.99)× 104 cells in the WERI-Rb-1 group on the 12th day of in-vitro culture(all P＜0.05).Compared with those in the control group,the positive cell rates of Ki67 and L/M opsin increased in T-MYCN Y1,T-MYCN Y2 and WERI-Rb-1 groups(all P＜0.001).The relative expression levels of MYCN mR-NAs in T-MYCN Y1,T-MYCN Y2 and WERI-Rb-1 groups were significantly higher than those in the control group(all P＜0.001).The relative expression levels of CCNB1 and CDK1 mRNAs also increased significantly in the three groups,com-pared with those in the control group(all P＜0.01).There was no significant difference in the relative expression of SYK mRNAs between T-MYCN Y1 and control groups(P＞0.05).The relative expression level of RXRγ mRNAs was significantly higher in the T-MYCN Y1 group than that in the control group(P＜0.05).The relative expression levels of SYK and RXRγmRNAs in T-MYCN Y2 and WERI-Rb-1 groups were significantly increased,compared with those in the control group(all P＜0.05).GO enrichment analysis showed that these differentially-expressed proteins were enriched into protein complex assembly and mitochondria pathways.KEGG enrichment analysis revealed that the enriched pathways of these differential-ly-expressed proteins included carbon metabolism,metabolic pathway and fatty acid degradation.Both proteomics and Western blot analyses indicated that OTX2 expression levels were the highest in the WERI-Rb-1 group,second highest in the T-MYCN Y2 group,and the lowest in the T-MYCN Y1 group(all P＜0.01).According to qRT-PCR,the expression levels of OTX2 mRNAs in T-MYCN Y1,T-MYCN Y2 and WRI-Rb-1 cells with OTX2 knockdown were lower than those in empty vec-tor controls(all P＜0.05).The growth curve of cells showed that after knocking down OTX2 in the three groups of cells,both cell growth and proliferation ability decreased significantly(all P＜0.001).Conclusion During the development of retinal tumors induced by MYCN overexpression,cells gradually exhibit characteristics similar to WERI-Rb-1 cells,which are a typical RB cell line.OTX2 plays an important role in MYCN amplification or the growth and proliferation of highly ex-pressed RB.Targeting OTX2 may become a new research direction for the treatment of RB.

Objective:To evaluate the short-and medium-term therapeutic efficacy of shockwave balloon therapy for TASCⅡ C/D femoropopliteal artery atherosclerosis obliteration.Methods:This retrospective cohort study included 25 patients who received shockwave balloon therapy in five vascular centers from August 2022 to June 2023. All patients were diagnosed with TASC Ⅱ C/D femoropopliteal arteriosclerosis obliterans (13 cases of type C and 12 cases of type D), and underwent intravascular shock wave lithotripsy (IVL) to treat calcified lesions. The immediate effectiveness (residual stenosis<30% and no flow-limiting dissection), safety (whether there were adverse vascular events during the operation) and the rate of salvage stent implantation were recorded. The observation indexes of patients before operation, early postoperative period (immediately after operation or before discharge) and postoperative follow-up period (3, 6, 12 months after operation) were collected. The observation indexes included ankle-brachial index (ABI), Rutherford classification, and minimum lumen diameter (MLD). Repeated measures ANOVA was used to evaluate the changes of observation indexes in the early postoperative and follow-up stages compared with those before operation; Kaplan-Meier survival analysis was used to evaluate the one-stage patency rate at follow-up and the target lesion revascularization rate free from clinical drive.Results:The immediate effectiveness of surgery was 100% in all patients, with no vascular related adverse events occurred, and no remedial stent implantation was performed. The ABI, Rutherford grade and MLD of the patients in the early postoperative period and each follow-up stage were improved compared with those before operation, with statistically significant differences ( P<0.05). Kaplan-Meier survival analysis showed that the primary patency rate at 12 months after surgery was 0.78 (95% CI 0.64-0.84), and the revascularization rate of target lesions free from clinical drive was 0.87 (95% CI 0.85-0.95). Conclusion:Shockwave balloon therapy for complex calcified femoropopliteal artery lesions is safe and reliable, with satisfactory short-and medium-term efficacy.

Objective:To systematically evaluate the efficacy, patient-reported outcomes (PROs) and safety of hyaluronic acid (HA) fillers and collagen stimulators (PCL/PLLA) for various facial aesthetic indications.Methods:This study focused on facial fillers approved and widely used in China, including HA fillers such as Juvéderm?, Restylane?, Belotero?, Fillmed?, and PCL/PLLA such as Ellansé?, L?viselle?, and CureWhite?. A systematic literature search was conducted across both English and Chinese databases, including PubMed, Cochrane Library, Embase, CNKI, and Wanfang Data, covering the period from database inception to August 24, 2023, to identify randomized controlled trials (RCTs). The characteristics and outcomes of the included RCTs were summarized and analyzed, including efficacy indicators by injection site, patient satisfaction, and safety profiles. Network meta-analysis (NMA) was performed using R software to compare efficacy outcomes, including the 6-month improvement response rate for nasolabial folds (NLF) and the global aesthetic improvement scale (GAIS).Results:A total of 38 articles were included. Among them, Juvéderm? was most frequently used as the treatment group (17 out of 38 articles), while Restylane? was the most common comparator (17 out of 38 articles), particularly in studies involving NLF injections (15 out of 16 articles). For collagen stimulators, only 2 studies on Ellansé? were included, both focusing solely on NLF treatment. Quality assessment showed that 34 studies were of medium to high quality, with Juvéderm? accounting for the majority of high-quality studies (11 articles). Based on injection sites, NLF was the most studied area (16 articles), followed by the midface (8 articles), and the remaining 14 articles covered other regions including lips, nose, chin, and infraorbital area. In the NLF region, the 6-month improvement response rate assessed by blinded investigators showed that Juvéderm? showed better outcomes than Restylane? ( RR=1.07, 95% CI: 0.89-1.32), while Belotero? was slightly inferior to Restylane? ( RR=0.97, 95% CI: 0.65-1.44), although the differences were not statistically significant. Subject-reported outcomes showed consistent trends with investigator assessments. For 6-month GAIS improvement, Juvéderm? and Restylane? showed comparable result within the HA filler category ( RR=1.01, 95% CI: 0.71-1.43). The collagen stimulator Ellansé? demonstrated numerically higher values than HA fillers ( RR=1.32, 95% CI: 0.86-2.08). However, none of these differences reached statistical significance. In midface treatments, Juvéderm? had more long-term evidence, with follow-up periods extending up to 24 months. Four studies reported numerically greater volume enhancement with Juvéderm? compared to Restylane?. For other facial areas, Juvéderm? had the most comprehensive clinical evidence, covering the widest range of injection sites. No relevant RCTs were available for collagen stimulators in these regions. Regarding patient satisfaction, 19 studies reported patient-reported outcomes, with Juvéderm? contributing 16 of them, and showing higher satisfaction in 6 head-to-head comparisons with Restylane?. In contrast, collagen stimulators currently lack such evidence. Safety result indicated that HA fillers were generally safe and well tolerated, while safety data for collagen stimulators remain limited due to insufficient high-quality evidence. Conclusion:Among the HA fillers, Juvéderm? has a large quantity and highest quality of clinical studies, and NMA result shows its superior efficacy in NLF. In comparison, the current evidence is still not sufficient to draw a clear conclusion for the PCL/PLLA due to a lack of adequate high-quality clinical evidence regarding its clinical efficacy, PROs, and safety.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Objective:The arrival of the big data era has accelerated the development of information technology in the healthcare sector. Internationally, developed countries such as the United States, the United Kingdom, and the European Union have taken pioneering initiatives in data openness. Since 2015, China has rapidly promoted the application of big data through policy layout. This study aims to help the open and shared development of healthcare big data in our country by investigating the status quo of open and shared healthcare big data at home and abroad.Methods:Through literature research and information integration, this study summarized the development history and current situation of open and sharing health and medical big data at home and overseas, analyzed related problems and challenges, and proposed countermeasures and development suggestions.Results:The open sharing of health and medical big data in developed countries and regions abroad had made outstanding achievements in legislation, standard formulation, platform construction, etc. The domestic policy layout was relatively perfect, and the relevant construction was being actively promoted. Problems and challenges still existed in five aspects, including privacy security, data format standards, data quality, laws and regulations, and property rights and interests.Conclusions:Combined with the problems found in the current research process, the following countermeasures and development suggestions are proposed for domestic health and medical big data open sharing: establish a privacy protection mechanism to ensure data security, unify data standards to improve data interoperability, build a data quality control system to ensure data accuracy, improve laws and regulations to standardize data sharing behavior, clarify the ownership of interests and protect intellectual property rights.