Objective: To investigate the trend in disease burden of asthma attributable to tobacco in China from 1990 to 2021, so as to provide the basis for improving intervention measures of asthma. Methods: Data on asthma-related mortality and disability-adjusted life years (DALY) attributable to tobacco among adults aged ≥30 years in China from 1990 to 2021 were collected from the Global Burden of Disease (GBD) 2021 database. Age-standardized mortality and age-standardized DALY rate were calculated using the GBD world standard population structure to analyze the tobacco-attributable asthma burden. The average annual percent change (AAPC) was employed to evaluate temporal trends in the age-standardized mortality and DALY rate from 1990 to 2021. Results: In China, the age-standardized mortality and age-standardized DALY rate of asthma attributable to tobacco decreased from 0.73/100 000 and 22.20/100 000 in 1990 to 0.17/100 000 and 6.64/100 000 in 2021, showing downward trends (AAPC=-4.603% and -3.888%, both P<0.05). Among males, the tobacco-attributable age-standardized mortality and age-standardized DALY rate declined from 1.44/100 000 and 41.05/100 000 in 1990 to 0.36/100 000 and 12.79/100 000 in 2021 (AAPC=-4.369% and -3.810%, both P<0.05). Among females, the corresponding rates decreased from 0.21/105 and 5.37/105 to 0.03/105 and 1.08/105 (AAPC=-6.074% and -5.074%, both P<0.05). In 2021, males had higher tobacco-attributable age-standardized mortality and age-standardized DALY rate for asthma than females. Both the mortality and DALY rate of asthma attributable to tobacco increased with age, peaking in the age group ≥80 years at 7.84/100 000 and 112.07/100 000, respectively. Conclusion From 1990 to 2021, the disease burden of asthma attributable to tobacco showed a declining trend in China, with males and elderly population aged ≥80 years bearing a relatively heavier disease burden.

This study aims to explore the mechanism of Huanglian Jiedu Decoction(HJD) in treating acute liver injury(ALI) in the mouse model of sepsis induced by lipopolysaccharide(LPS). Fifty-four male C57BL/6 mice were randomized into six groups: blank group, model group, low-, medium-, and high-dose group HJD, and dexamethasone group. The mouse model of sepsis was established by intraperitoneal injection of LPS after 7 days of gavage with HJD, and dexamethasone(0.2 mL) was injected intraperitoneally 1.5 h after modeling. The murine sepsis score(MSS) was recorded 12 h after modeling. The levels of alanine aminotransferase(ALT) and aspartate aminotransferase(AST) in the liver tissue and tumor necrosis factor-α(TNF-α) and interleukin-6(IL-6) in the serum were measured by ELISA. Hematoxylin-eosin(HE) staining was used to observe the pathological changes of the mouse liver. The content of light chain 3 of microtubule-associated protein 1(LC3) was detected by immunofluorescence, and that of sirtuin 1(SIRT1) was detected by immunohistochemistry. The mRNA levels of adenosine 5'-monophosphate-activated protein kinase(AMPK), LC3, and P62 were detected by RT-PCR. Western blot was employed to determine the protein levels of AMPK, p-AMPK, and SIRT1 in the liver tissue. The results showed that compared with model group, drug interventions decreased the MSS and liver injury indicators, lowered the levels of inflammatory cytokines, improved the liver tissue structure, upregulated the protein levels of of p-AMPK/AMPK and SIRT1 and the mRNA levels of AMPK and LC3, and downregulated the mRNA level of P62. To sum up, HJD can regulate the autophagy level and reduce inflammation to ameliorate acute liver injury in septic mice by activating the AMPK/SIRT1 autophagy pathway.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Sirtuin 1/genetics* ; Male ; Mice ; Sepsis/metabolism* ; Mice, Inbred C57BL ; Autophagy/drug effects* ; AMP-Activated Protein Kinases/genetics* ; Liver/metabolism* ; Humans ; Signal Transduction/drug effects* ; Disease Models, Animal ; Tumor Necrosis Factor-alpha/genetics*

This study explored the prescription pattern of traditional Chinese medicine(TCM) in the treatment of hypertensive left ventricular hypertrophy(LVH), so as to provide a relevant theoretical basis for the clinical diagnosis and treatment of hypertensive LVH. The study systematically searched the databases of CNKI, Wanfang, VIP, and SinoMed to screen out the qualified literature on TCM treatment of hypertensive LVH and used Microsoft Excel 2021 to establish the relevant prescription database. It also counted the frequency, property, flavor, and meridian affiliation of TCM in the prescriptions and classified their efficacy. The study used Lantern 5.0 and Rstudio software to analyze the hidden structural models and association rules of the high-frequency TCM with a frequency of >3.50% and adopted Origin 2024 software to visualize the data, so as to explore the prescription pattern of TCM in treating hypertensive LVH. The results showed that a total of 128 TCM prescriptions were included, involving 163 TCM with a total frequency of 1 242. The high-frequency TCM included Salviae Miltiorrhizae Radix et Rhizoma, Uncariae Ramulus Cum Uncis, Gastrodiae Rhizoma, Poria, and Chuanxiong Rhizoma, with the main efficacy from blood-activating and stasis-resolving herbs, tonic herbs, and liver-calming and wind-extinguishing herbs. The latent structure analysis(LSA) identified 10 latent variables, 20 latent classes, 7 comprehensive clustering models, and 23 core prescriptions. It was speculated that the common syndromes of hypertensive LVH included blood stasis obstructing the collaterals, ascending hyperactivity of liver Yang, Yin deficiency with Yang hyperactivity, and intermingled phlegm and blood stasis. The association rule analysis yielded 33 strong association rules, with the highest comprehensive association rule being Gastrodiae Rhizoma→Uncariae Ramulus Cum Uncis. Hypertensive LVH is characterized by asthenia in origin and asthenia in superficiality, with Yin deficiency and Qi deficiency as the origin and blood stasis and phlegm as the superficiality. Clinical treatment focuses on activating blood circulation, resolving stasis, tonifying Qi, and nourishing Yin, combined with syndrome-specific therapies such as calming wind and stopping convulsions, clearing heat, eliminating dampness and resolving phlegm, and promoting diuresis and reducing swelling.
Drugs, Chinese Herbal/therapeutic use* ; Data Mining ; Humans ; Hypertension/complications* ; Hypertrophy, Left Ventricular/physiopathology* ; Medicine, Chinese Traditional ; Drug Prescriptions

This study applied the grading of recommendations assessment, development and evaluation(GRADE) system and the integrated evidence chain-based effectiveness evaluation of traditional Chinese medicine(Eff-iEC) to evaluate the evidence for 12 commonly used Chinese patent medicines for the treatment of osteoporosis, which are frequently recommended in guidelines or expert consensuses. The results showed that Xianling Gubao Capsules/Tablets were rated as C(low-level evidence) according to the GRADE system, and as BA~+B~+(intermediate evidence) according to the Eff-iEC system. Jintiange Capsules were rated as C(low-level evidence) by the GRADE system, and as AA~+B(high-level evidence) by the Eff-iEC system. Gushukang Granules/Capsules were rated as C(low-level evidence) by GRADE system, and as BA~+B~+(intermediate evidence) by Eff-iEC system. Zuogui Pills were rated as C(low-level evidence) by GRADE system, and as AA~(++)B~+(high-level evidence) by Eff-iEC system. Qianggu Capsules were rated as D(extremely low-level evidence) by GRADE system, and as AA~+B~+(high-level evidence) by Eff-iEC system. Zhuanggu Zhitong Capsules were rated as D(extremely low-level evidence) by GRADE system, and as BA~+B(intermediate evidence) by Eff-iEC system. Jingui Shenqi Pills were rated as D(extremely low-level evidence) by GRADE system, and as AA~+B(high-level evidence) by Eff-iEC system. Quanduzhong Capsules were rated as D(extremely low-level evidence) by GRADE system, and as AD~+B~+(low-level evidence) by Eff-iEC system. Epimedium Total Flavones Capsules were rated as D(extremely low-level evidence) by GRADE system, and as AAB~+(high-level evidence) by Eff-iEC system. Yougui Pills were rated as D(extremely low-level evidence) by GRADE system, and as AA~(++)B~(+ )(high-level evidence) by Eff-iEC system. Qigu Capsules were rated as D(extremely low-level evidence) by GRADE system, and as BB~+B(intermediate evidence) by Eff-iEC system. Liuwei Dihuang Pills were rated as C(low-level evidence) by GRADE system, and as AA~(++)B~+(high-level evidence) by Eff-iEC system. Overall, the Eff-iEC system provides a more comprehensive assessment of the effectiveness evidence for traditional Chinese medicine(TCM) than the GRADE system. However, it still has certain limitations that hinder its wider promotion and application. In terms of clinical evidence evaluation, both the Eff-iEC and GRADE systems reflect that the current clinical research quality on Chinese patent medicines for the treatment of osteoporosis is generally low. High-quality clinical trials are still needed in the future to further validate clinical efficacy.
Drugs, Chinese Herbal/therapeutic use* ; Osteoporosis/drug therapy* ; Humans ; Nonprescription Drugs/therapeutic use* ; Evidence-Based Medicine ; Medicine, Chinese Traditional

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

As global greenhouse gases continue rising, the urgency of more ambitious action is clearer than ever before. China is the world's biggest emitter of greenhouse gases and one of the countries affected most by climate change. The evidence about the impacts of climate change on the environment and human health may encourage China to take more decisive action to mitigate greenhouse gas emissions and adapt to climate impacts. This article aimed to review the evidence of environmental damages and health risks posed by climate change and to provide a new science-based perspective for the delivery of sustainable development goals. Over recent decades, China has experienced a strong warming pattern with a growing frequency of extreme weather events, and the impacts of climate change on China's environment and human health have been consistently observed, with increasing O ₃ air pollution, decreases in water resources and availability, land degradation, and increased risks for both communicable and non-communicable diseases. Therefore, China's climate policy should target the key factors driving climate change and scale up strategic measures to curb carbon emissions and adapt to inevitable increasing climate impacts. It provides new insights for not only China but also other countries, particularly developing and emerging economies, to ensure climate and environmental sustainability whilst pursuing economic growth.
Climate Change ; China ; Humans ; Greenhouse Gases ; Air Pollution ; Sustainable Development ; Environment

Objective The purpose of this article is to summarize and review the current status of the construction of clinical research evaluation systems in domestic public hospitals,identify existing problems in the evaluation system,and propose development strategies and suggestions.Methods Retrieved relevant articles,dissertations and policies from the past five years(2018-2022),screened the titles,viewed the full texts of 52 selected papers and their references,and summarized them.Results The"five-only"indicators have long been an important indicator for evaluating clinical research in public hospitals,but in today's scientific research environment and policy environment,the"five-only"evaluation system has revealed its utilitarian draw-backs and gradually evolved into a hindrance to scientific research.It is urgent to break through the"five-only"orientation and establish a clinical research evaluation system oriented towards"transforming and applying transformation of scientific research achievements".Conclusion The evaluation system for clinical research should break the previous"five-only"evaluation model based on quantity-oriented scientific research evaluation.We can draw on the framework of the research output,influence,and environment indicators in the UK's REF Excellence Framework model,combine the American APT system and the Chinese STEM indicator dimensions,explore multi-outcome evaluation,integrate developmental indicators,and continuously improve the indica-tor system and application methods in practice to promote the development of clinical research in public hospitals.

Objective:To investigate the current situation of satisfaction with graduate education among recent medical graduates in China, and analyze the differences between different populations, and to propose countermeasures and suggestions.Methods:From June to July 2023, a self-made questionnaire was used to survey 16 903 medical graduates who had recently earned a post-graduate degree from 78 institutions about their satisfaction with curriculum sessions, practical sessions, research training, tutoring, and institutional management. The degrees of satisfaction with education among different populations were compared through the t test and analysis of variance with the use of SPSS 26.0. Results:The scores of satisfaction of the graduates with tutoring, curriculum sessions, practical sessions, institutional management, and research training were 4.44, 4.03, 4.02, 3.90, and 3.82, respectively. Satisfaction scores for individual dimensions were significantly higher for males, doctors, non-transfers, comprehensive universities, non-agricultural household registration, moderate-to-high annual household income per capita, parents with high educational levels, and parents with mid- or senior-level occupations ( P<0.05). Conclusions:There is room for improvement in students' satisfaction with medical graduate education. To improve the quality of medical graduate education, attention should be paid to key populations, education policies, school management, and tutoring to provide appropriate education for different students.

Objective To explore the value of biparametric magnetic resonance imaging(bp-MRI)radiomics models in noninvasive prediction of high-risk prostate cancer.Methods A total of 320 patients with pathologically confirmed prostate cancer were retro-spectively selected,and all patients underwent bp-MRI before pathology,including T2WI and diffusion weighted imaging(DWI).Appar-ent diffusion coefficient(ADC)maps were extracted from DWI.All patients were divided into high-risk(Gleason score≥8)and medium-low risk(Gleason score ≤7)groups based on the Gleason score.Using 3D Slicer software,the entire prostate gland was outlined.Python software was used to calculate parameters,and the minimum redundancy maximum correlation and sequence back-ward elimination algorithms were used to extract and select radiomics features and to build a model.Three radiomics(T2 WI,DWI,ADC)models were constructed and verified by logistic regression(LR).The performance of the model was evaluated by area under the curve(AUC)of receiver operating characteristic(ROC)curve,specificity(SP),sensitivity(SE),and accuracy(ACC).An indi-vidual prediction model was established via the clinical data of 224 patients and bp-MRI features,and validated via the data of 96 patients.Results A total of 1 165 radiomics features were extracted.After feature screening,2,4 and 6 radiomics features were screened out to construct T2WI model,DWI model and ADC model for predicting high-risk prostate cancer.All radiomics models had significant predictive performance in identifying medium-low risk and high-risk groups(P＜0.05).The DWI model had the highest predictive value,and the AUC,ACC,SE,and SP in the training group were 0.814,0.756,0.838,and 0.744,respectively.The AUC,ACC,SE,and SP in the verification group were 0.840,0.756,0.848,and 0.784,respectively.Conclusion Radiomics based on bp-MRI can better identify medium-low risk and high-risk prostate cancer before surgery.

Objective:To analyze the role of learning engagement and learning burnout in the relationship between supervisors' guidance and the personal ability of postgraduates in the Professional Master's Program in Clinical Medicine.Methods:A total of 4 016 postgraduates in the Professional Master's Program in Clinical Medicine from 61 colleges were surveyed in 2020. Common method bias was assessed using the Harman's single factor test and total score was determined by the entropy weight method. Causality and mediation effect were analyzed by linear regression, and mediation effect was tested by Bootstrapping.Results:The average scores of supervisors' guidance, learning burnout, learning engagement and personal ability were (4.13±0.87), (2.49±1.11), (3.88±0.83), and (3.71±0.78), respectively. Supervisors' guidance significantly and positively impacted learning engagement ( β=0.689, P<0.001) and personal ability ( β=0.504, P<0.001). Learning engagement played a partial mediating role (89.30% of mediation effect) between supervisors' guidance and personal ability. Learning burnout (interaction term β=0.078, P<0.001) positively regulated the relationship between supervisors' guidance and learning engagement. Conclusions:Learning engagement can mediate the effect of supervisors' guidance on the personal ability of postgraduates in the Professional Master's Program in Clinical Medicine, and learning burnout positively regulates the effect of supervisors' guidance on learning engagement. Strengthened supervisors' guidance, increased attention to students' learning burnout, and enhanced learning engagement can further improve the personal abilities of postgraduates in the Professional Master's Program in Clinical Medicine.