Abnormal activation of the Janus kinase/signal transducer and activator of transcription （JAK/STAT） signaling pathway is involved in the pathogenesis of diffuse large B-cell lymphoma （DLBCL）. In recent years， inhibitors targeting JAK2 and STAT3 have emerged as promising therapeutic candidates in DLBCL. This review summarizes the efficacy and safety profiles of JAK2 inhibitors （e.g.， ruxolitinib） and STAT3 inhibitors （direct small-molecule inhibitors， the antisense oligonucleotide， and proteolysis targeting chimeras， etc.） in preclinical models and clinical trials. Accumulating evidence indicates that JAK2 and STAT3 inhibitors exhibit antitumor activity and are generally well tolerated in a subset of DLBCL patients. Meanwhile， the development of novel drug delivery systems has significantly enhanced the stability， bioavailability， and targeting ability of the compounds. Furthermore， JAK2 and STAT3 inhibitors may exhibit synergistic effects when combined with other therapy strategies （such as combinations with B-cell receptor signaling pathway inhibitors， immunomodulators， or other targeted drugs）. However， current clinical applications are still in their early stages. Future research should concentrate on precision treatment strategies based on the genetic subtyping of DLBCL， and further refine the delivery systems for inhibitors as well as combination drug regimens to improve clinical outcomes.

Background Prehospital emergency medical personnel (PEMP) are exposed to long-term high-pressure work, which can exacerbate psychological distress and impair job satisfaction and sleep quality. However, in-depth research on the interactions among these factors is lacking. Objective To assess the status of psychological distress, job satisfaction, and sleep quality of PEMP in Guangzhou and to explore the mediating role of sleep quality in the relationship between psychological distress and job satisfaction. Methods From February to May 2025, 1085 PEMP from "120" emergency network hospitals in Guangzhou were selected using convenience sampling. Data were collected via the General Information Questionnaire, Kessler Psychological Distress Scale, Minnesota Satisfaction Questionnaire, and Pittsburgh Sleep Quality Index. Statistical analyses were performed using SPSS 25.0, and The mediation model of sleep quality in linking psychological distress and job satisfaction was constructed using AMOS 28.0. The bias-corrected Bootstrap method was employed to assessed the significance of the mediating effect. Results A total of 1063 valid responses were received (97.97% valid response rate). The mean scores were: psychological distress (27.99±10.75), job satisfaction (69.45±15.84), and sleep quality (9.82±4.47). Significant differences in the three scores were found across gender, age, monthly night shift frequency, and hospital grade (P<0.05). Higher job satisfaction was linked to lower psychological distress and better sleep quality and its dimensions, while psychological distress directly correlated with poorer sleep quality (P<0.01). Sleep quality partially mediated the relationship between psychological distress and job satisfaction, with a mediating effect of −0.195, accounting for 43.62% of the total effect. Conclusion The participants report moderate psychological distress, moderate-to-high job satisfaction, and poor sleep quality. Psychological distress directly affects job satisfaction and indirectly through its impact on sleep quality. Interventions aimed at improving sleep health and mental health are essential to improve personnel well-being and work efficiency.

Background As a traditional labor-intensive industry, the wooden furniture manufacturing sector has been facing significant occupational health hazards, notably noise exposure. Objective To understand the current status of occupational health management and workplace noise monitoring in the wooden furniture manufacturing industry in Foshan City of Guangzhou Province over the past five years (2020−2024), to clarify the exposure level of occupational noise hazards in this industry, the implementation of prevention and control measures, and their dynamic changing trends, and to provid a reference basis for formulating and optimizing targeted occupational health supervision strategies. Methods By judgment sampling method, 381 wooden furniture manufacturing enterprises in Foshan City from 2020 to 2024 were selected. Through document review, on-site investigation, and on-site testing, the basic information of the enterprise, key indicators of occupational health management (declaration of projects with occupational disease hazards, occupational health training, the setting and effect of occupational disease prevention facilities, the allocation and use of personal protective equipment, occupational health examinations, etc.) and monitoring data of noise intensity in the workplace were systematically collected. Descriptive statistical analysis was adopted to present the characteristics of enterprises and various indicators, and trend tests were used for dynamic changes of occupational health management indicators and noise intensity monitoring results between each year. Results Among the 381 enterprises, small and micro enterprises accounted for 94.0% (358/381), the overall occupational hazard exposure rate of workers was 56.7% (15199/26798), and the noise exposure rate was 45.6% (12221/26798). The report rate of projects with occupational disease hazards was 100%, the occupational health training rate of exposed workers was 69.6%, the setting rate and effectiveness rate of noise prevention facilities were 24.9% and 95.8% respectively, the distribution rate and effective wearing rate of noise protection earplugs/earmuffs were 77.6% and 87.1% respectively, and the rate of occupational health examinations for noise-exposed workers and the abnormal rate were 55.4% and 2.5% respectively. The trend analysis results showed that the rates of occupational health training, setting and effectiveness of noise prevention facilities, distribution and effective wearing of noise protection earplugs/earmuffs, occupational health examinations for noise-exposed workers, and abnormal health examination results all showed an overall upward trend (P values were all<0.05). The proportion of workplace noise intensity greater than 85 dB(A) and the rate of noise exceeding standards at work positions both showed an overall upward trend (P values were both<0.01). Conclusion During the period from 2020 to 2024, the occupational health management in the wooden furniture manufacturing industry in Foshan City has achieved certain positive progress, particularly in areas such as the installation of protective facilities, the use of personal protective equipment, and the implementation of occupational health examinations. However, workplace noise hazards have not been effectively controlled. Moving forward, regulatory efforts must consolidate existing management achievements while strengthening mandatory requirements and support for the technical transformation of high-noise processes and the widespread adoption of noise reduction facilities. This approach is essential to fundamentally curb occupational noise hazards.

Background Prehospital emergency medical personnel (PEMP) are exposed to long-term high-pressure work, which can exacerbate psychological distress and impair job satisfaction and sleep quality. However, in-depth research on the interactions among these factors is lacking. Objective To assess the status of psychological distress, job satisfaction, and sleep quality of PEMP in Guangzhou and to explore the mediating role of sleep quality in the relationship between psychological distress and job satisfaction. Methods From February to May 2025, 1085 PEMP from "120" emergency network hospitals in Guangzhou were selected using convenience sampling. Data were collected via the General Information Questionnaire, Kessler Psychological Distress Scale, Minnesota Satisfaction Questionnaire, and Pittsburgh Sleep Quality Index. Statistical analyses were performed using SPSS 25.0, and The mediation model of sleep quality in linking psychological distress and job satisfaction was constructed using AMOS 28.0. The bias-corrected Bootstrap method was employed to assessed the significance of the mediating effect. Results A total of 1063 valid responses were received (97.97% valid response rate). The mean scores were: psychological distress (27.99±10.75), job satisfaction (69.45±15.84), and sleep quality (9.82±4.47). Significant differences in the three scores were found across gender, age, monthly night shift frequency, and hospital grade (P<0.05). Higher job satisfaction was linked to lower psychological distress and better sleep quality and its dimensions, while psychological distress directly correlated with poorer sleep quality (P<0.01). Sleep quality partially mediated the relationship between psychological distress and job satisfaction, with a mediating effect of −0.195, accounting for 43.62% of the total effect. Conclusion The participants report moderate psychological distress, moderate-to-high job satisfaction, and poor sleep quality. Psychological distress directly affects job satisfaction and indirectly through its impact on sleep quality. Interventions aimed at improving sleep health and mental health are essential to improve personnel well-being and work efficiency.

Objective To develop a symptom and function assessment scale for patients after Nuss procedure for pectus excavatum and to test its reliability and validity. Methods Following the principles and procedures of patient-reported outcome (PRO) scale development stipulated by the U.S. Food and Drug Administration, an initial draft was formed through literature analysis, qualitative interviews, and Delphi expert consultation. The preliminary draft was used to conduct a pre-survey on patients who underwent Nuss procedure for pectus excavatum at Guangdong Provincial People's Hospital, and the reliability and validity of the scale were tested. Results A preliminary PRO-based symptom and function scale was constructed, covering two domains: symptoms and impact on daily functions. The symptom dimension included six items: chest tightness, palpitations, pain, shortness of breath, foreign body sensation of the steel plate, and distress; while the impact on daily functions included four items: difficulty in getting out of bed or lying down, raising arms, bending over, and standing or sitting for a long time. A total of 73 patients who underwent Nuss procedure for pectus excavatum were included in the questionnaire survey, with 70 valid questionnaires collected, including 64 males and 6 females, with 56 patients aged 12-17 years and 14 patients ≥18 years. Through exploratory factor analysis, two common factors were extracted, with a cumulative variance contribution rate of 70%. The Cronbach’s α coefficient of the scale was 0.917. Conclusion The scale developed in this study has good reliability and validity, high reliability and stability, and can be used as an evaluation tool for the recovery status of patients after Nuss procedure for pectus excavatum.

Xiaoji Yinzi is one of the classic prescriptions for treating urinary diseases， originated from the Yan's Prescriptions to Aid the Living （Yan Shi Ji Sheng Fang） written by YAN Yonghe in the Song dynasty. Xiaoji Yinzi is composed of Rehmanniae Radix， Cirsii Herba， Talcum， Akebiae Caulis， Typhae Pollen， Nelumbinis Rhizomatis Nodus， Lophatheri Herba， Angelicae Sinensis Radix， Gardeniae Fructus， and Glycyrrhizae Radix et Rhizoma and has the effects of cooling blood and stopping bleeding， draining water and relieving stranguria. The medical experts of later generations have inherited the original prescription recorded in the Yan's Prescriptions to Aid the Living， while dispute has emerged during the inheritance of this prescription. In this study， the method of bibliometrics was employed to review and analyze the ancient documents and modern clinical studies involving Xiaoji Yinzi. The results showed that Xiaoji Yinzi has two dosage forms： powder and decoction. According to the measurement system in the Song Dynasty， the modern doses of hers in Xiaoji Yinzi were transformed. In the prepration of Xiaoji Yinzi powder， 149.2 g of Rehmanniae Radix and 20.65 g each of Cirsii Herba， Talcum， Akebiae Caulis， stir-fried Typhae Pollen， Nelumbinis Rhizomatis Nodus， Lophatheri Herba， wine-processed Angelicae Sinensis Radix， stir-fried Gardeniae Fructus， and stir-fried Glycyrrhizae Radix et Rhizoma are grounded into fine powder with the particle size of 4-10 meshes and a decocted with 450 mL water to reach a volume of 240 mL. After removal of the residue， the decoction was taken warm before meals， 3 times a day （i.e.， 7.77 g Rehmanniae Radix and 0.97 g each of the other herbs each time）. In the preparation of Xiaoji Yinzi decoction， 20.65 g each of the above 10 herbs are used， with stir-fried Typhae Pollen， wine-processed Angelica Sinensis Radix， stir-fired Gardeniae Fructus， stir-fired Glycyrrhizae Radix et Rhizoma， and raw materials of other herbs. Xiaoji Yinzi is specialized in treating hematuresis and blood stranguria due to heat accumulation in lower energizer， which causes injury of the blood collaterals of gallbladder and dysfunction of Qi transformation. In modern clinical practice， Xiaoji Yinzi is specifically used for treating urinary diseases and can be expanded to treat diseases of the cardiovascular system and other systems according to pathogenesis. The comprehensive research on the key information could provide a scientific reference for the future development of Xiaoji Yinzi.

OBJECTIVE: To explore the rules of acupoint selection and compatibility of acupuncture and moxibustion in treatment of chronic cough using data mining. METHODS: The ancient and modern medical record cloud platform, and the databases, i.e. CNKI, Wanfang, VIP, EMbase, Web of Science and PubMed, were searched to screen the ancient and modern literature on acupuncture and moxibustion treatment of chronic cough. The prescription database was established for acupuncture and moxibustion treatment of chronic cough, and the analysis conducted on the frequency and use percentage in the aspects of intervention measures, acupoint selection, acupoint distribution, meridian tropism, special points and acupoint combination, as well as the association rules and clustering rules of acupoint selection. The subgroup analysis was performed in accordance with the etiology of chronic cough and intervention measures. RESULTS: A total of 106 articles were included and 158 prescriptions were extracted. The intervention measures were acupuncture, moxibustion, herbal medication and the combination of several measures. The high-frequency acupoints included Feishu (BL13), Zusanli (ST36), Dazhui (GV14), Pishu (BL20), Danzhong (CV17), Shenshu (BL23), Lieque (LU7), Dingchuan (EX-B1), Tiantu (CV22), and Fenglong (ST40). These acupoints are mainly distributed on the back, lumbar region, chest and abdomen. The involved meridians were bladder meridian of foot-taiyang, conception vessel, and lung meridian of hand-taiyin. The special points covered back-shu points, crossing points and five-shu point. Regarding the compatibility of acupoints, the combination of upper and lower points, and the combination of front and back points were predominant in treatment. The analysis of association rules found that the support of Feishu (BL13)→Zusanli (ST36) was the highest; the cluster analysis obtained 8 clusters of acupoints. The acupoint compatibility and overall rules were similar when cough variant asthma (CVA) or the mixed reasons were involved, and the local treatment approach was adopted if the etiology of disease was related to upper airway cough syndrome (UACS) and gastroesophageal reflux cough (GERC). The acupoint selection was similar among different intervention measures. When two kinds of measures were combined in treatment, Feishu (BL13), Pishu (BL20) and Zusanli (ST36) were the most common. CONCLUSION In treatment with acupuncture and moxibustion for chronic cough, the acupoints are selected on the affected local area, depending on syndrome differentiation, and focusing on back-shu points. The main acupoints are Feishu (BL13), Zusanli (ST36), Dazhui (GV14), Pishu (BL20), Danzhong (CV17) and Shenshu (BL23). The combined therapy is dominant with acupuncture, moxibustion and herbal medicine involved.
Acupuncture Points ; Moxibustion/history* ; Humans ; Cough/history* ; Acupuncture Therapy/history* ; Chronic Disease/therapy* ; Data Mining ; History, Ancient ; Meridians ; Chronic Cough

Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial intelligence (AI), particularly the utilization of deep learning (DL) algorithms, has brought about substantial progress in assisting the diagnosis, treatment, and prognosis prediction of PCa. The introduction of the foundation model has revolutionized the application of AI in medical treatment and facilitated its integration into clinical practice. This review emphasizes the clinical application of AI in PCa by discussing recent advancements from both pathological and imaging perspectives. Furthermore, it explores the current challenges faced by AI in clinical applications while also considering future developments, aiming to provide a valuable point of reference for the integration of AI and clinical applications.
Humans ; Prostatic Neoplasms/diagnosis* ; Male ; Artificial Intelligence ; Deep Learning ; Prognosis