ObjectiveTo compare the differences between wild Alpiniae Oxyphyllae Fructus（WAOF） and cultivated Alpiniae Oxyphyllae Fructus（CAOF） through a traditional quality evaluation system for medicinal materials. MethodsA total of 10 batches of WAOF and 12 batches of CAOF samples were collected from various regions of Hainan province. Relevant analytical methods from the 2020 edition of the Pharmacopoeia of the People's Republic of China were employed to observe the characteristics of WAOF and CAOF， followed by microscopic identification， thin-layer chromatography（TLC） identification， moisture content（toluene method）， total ash， acid-insoluble ash， water-soluble and alcohol-soluble extracts（hot dipping method）， water-soluble protein， total polysaccharides and total flavonoids（ultraviolet spectrophotometry）， and volatile oil content（method A under general rule 2204）. The contents of five active components（protocatechuic acid， chrysin， kaempferol， tectochrysin and nootkatone） were quantified using ultra-performance liquid chromatography（UPLC）， and the antioxidant activity was evaluated. Building upon traditional quality evaluation of AOF， quantitative measurements were conducted on its appearance traits including diameter， length， plumpness（diameter/length ratio）， and color. Canonical correlation analysis was performed using SPSS 26.0 to explore relationships between appearance traits and intrinsic quality. ResultsNo significant differences were observed between WAOF and CAOF in microscopic observation， TLC identification， moisture content， protocatechuic acid content， kaempferol content， odor， or antioxidant activity measured by 2，2ʹ-azino-bis（3-ethylbenzothiazoline-6-sulfonic acid）（ABTS） method. WAOF exhibited significantly higher levels in water-soluble extracts， alcohol-soluble extracts， total polysaccharide content， water-soluble protein content， 100-grain weight， length， and total color difference（ΔE^*ab） compared to CAOF（P<0.01）. In contrast， CAOF showed significantly higher levels of total ash， acid-insoluble ash， content of total flavonoids， volatile oil content， chrysin content， tectochrysin content， nootkatone content， diameter， plumpness， lightness（L^*）， red-green chromaticity（a^*）， yellow-blue chromaticity（b^*）， and antioxidant activity measured by 1，1-diphenyl-2-picrylhydrazyl（DPPH） method compared to WAOF（P<0.01）. Correlation analysis between 7 phenotypic traits and 8 quality traits revealed that among the phenotypic traits， plumpness， L^*， a^*， and b^* exerted significant influence on intrinsic quality. Among the quality traits， total flavonoids， volatile oils， nootkatone， chrysin， and tectochrysin contributed substantially to intrinsic quality. ConclusionPlumpness， L^*， a^*， and b^* of AOF significantly influence its intrinsic quality， and higher values of these parameters indicate relatively superior intrinsic quality. The comprehensive quality evaluation reveals that CAOF samples collected in this study are superior to their wild counterparts.

As the core vehicle for preserving and transmitting traditional Chinese medicine（TCM） academic thought and clinical experience， the establishment of a robust quality evaluation system for TCM clinical case reports is a crucial component in the current standardization and modernization of TCM. Based on the practical experience of constructing the China Clinical Cases Library of Traditional Chinese Medicine by the China Association of Chinese Medicine， this study conducted a comprehensive analysis of critical challenges， including insufficient authenticity and unfocused evaluation criteria. It proposed a three-dimensional evaluation framework grounded in the structure-process-outcome logic， encompassing three dimensions of authenticity and standardization， characteristics and advantages， application and translational impact. This framework integrated 12 key evaluation indicators in a systematic manner. The model preserved the academic characteristics of TCM syndrome differentiation and treatment， while aligning with modern scientific research standards， achieving a balance between individualized TCM experience and standardized evaluation. Concurrently， this study provided theoretical foundations and methodological guidance for evaluating the quality of TCM clinical cases， contributing significantly to the inheritance of TCM knowledge， evidence-based practice， and the reform of talent evaluation mechanisms.

Small cell lung cancer （SCLC） is characterized by rapid onset， high invasiveness， and a strong tendency for recurrence and metastasis， which aligns with the pathogenic characteristics of wind pathogen in traditional Chinese medicine （TCM）. This paper explores the pathological mechanism and dynamic pattern identification and treatment of SCLC from the perspective of "internal wind in hidden circulation". It is proposed that the core pathogenesis of SCLC is rooted in depletion of healthy qi， with binding of phlegm， stasis， and toxin. When pathogenic factors become excessive， the ascending and descending of yang qi becomes disordered， transforming into wind. This leads to internal wind in hidden circulation， which moves erratically and damages healthy qi. In the limited stage， cancer toxin accumulates and internal wind arises covertly， treatment for which should focus on regulating qi and resolving toxin， defending against wind and resisting pathogen with modified Bufei Decoction （补肺汤） and Shengjiang Powder （升降散）. In the early extensive stage， phlegm and stasis generate wind， and internal wind spreads through collate-rals； treatment should resolve phlegm and dispel stasis， extinguish wind and resolve toxin， with modified Lingjiao Gouteng Decoction （羚角钩藤汤） combined with Tianma Gouteng Beverage （天麻钩藤饮）. During the treatment stage， there is qi and yin depletion， and deficient wind harassing the interior， for which it is recommended to boost qi and nourish yin， soften the liver and extinguish wind， with modified Zhengan Xifeng Decoction （镇肝熄风汤） combined with Qingzao Jiufei Decoction （清燥救肺汤）. In the progression stage， internal wind stirs again and cancer toxin scurries； treatment should focus on strengthening the healthy qi and replenishing essence， restraining wind and penetrating toxin， with modified Sanjia Fumai Decoction （三甲复脉汤）. In the terminal stage， yin and yang are on the verge of dissociation and depleted yang floats upward； treatment should constrain and astringe to prevent collapse， rescue yang and contain yin， with modified Dihuang Drink （地黄饮子） combined with Laifu Decoction （来复汤）.

Small cell lung cancer （SCLC） is characterized by rapid onset， high invasiveness， and a strong tendency for recurrence and metastasis， which aligns with the pathogenic characteristics of wind pathogen in traditional Chinese medicine （TCM）. This paper explores the pathological mechanism and dynamic pattern identification and treatment of SCLC from the perspective of "internal wind in hidden circulation". It is proposed that the core pathogenesis of SCLC is rooted in depletion of healthy qi， with binding of phlegm， stasis， and toxin. When pathogenic factors become excessive， the ascending and descending of yang qi becomes disordered， transforming into wind. This leads to internal wind in hidden circulation， which moves erratically and damages healthy qi. In the limited stage， cancer toxin accumulates and internal wind arises covertly， treatment for which should focus on regulating qi and resolving toxin， defending against wind and resisting pathogen with modified Bufei Decoction （补肺汤） and Shengjiang Powder （升降散）. In the early extensive stage， phlegm and stasis generate wind， and internal wind spreads through collate-rals； treatment should resolve phlegm and dispel stasis， extinguish wind and resolve toxin， with modified Lingjiao Gouteng Decoction （羚角钩藤汤） combined with Tianma Gouteng Beverage （天麻钩藤饮）. During the treatment stage， there is qi and yin depletion， and deficient wind harassing the interior， for which it is recommended to boost qi and nourish yin， soften the liver and extinguish wind， with modified Zhengan Xifeng Decoction （镇肝熄风汤） combined with Qingzao Jiufei Decoction （清燥救肺汤）. In the progression stage， internal wind stirs again and cancer toxin scurries； treatment should focus on strengthening the healthy qi and replenishing essence， restraining wind and penetrating toxin， with modified Sanjia Fumai Decoction （三甲复脉汤）. In the terminal stage， yin and yang are on the verge of dissociation and depleted yang floats upward； treatment should constrain and astringe to prevent collapse， rescue yang and contain yin， with modified Dihuang Drink （地黄饮子） combined with Laifu Decoction （来复汤）.

OBJECTIVE To formulate Guidelines for the standardized implementation of pharmacist-managed clinics （ 2026 edition ） in response to the challenges faced by such clinics in China， including uneven development， large discrepancies in service specifications， insufficient patient awareness， and limited medical insurance coverage. METHODS Led by the Pharmaceutical Affairs Professional Committee of the Chinese Hospital Association， the Evidence-based Pharmacy Professional Committee of the Chinese Pharmaceutical Association， and the Hospital Pharmacy Professional Committee of the Cross-strait Medical and Health Exchange Association， a total of 19 domestic hospital pharmacy experts were organized. Through a systematic review of national policies and literature research， current practical experience was summarized. Consensus on the contents of the guidelines was reached after in-depth discussions. RESULTS &CONCLUSIONS The guidelines covered five sections： definition and connotation of pharmacist-managed clinics， establishment requirements， implementation and management， post competency， and practical research. Firstly， the definition and connotation included three operational forms of pharmacist-managed clinics （independent mode， physician-pharmacist joint mode， and online pharmacist-managed clinic mode） and classified service modes （specialty-specific， drug-specific， and disease-specific pharmacist-managed clinics）. The establishment requirements were further refined， covering system construction （pharmaceutical service management system， quality control and assessment mechanism）， personnel qualifications （professional credentials， continuing education and professional training， etc）， service recipients， as well as service venues and facilities. Subsequently， the implementation and management of pharmacist-managed clinics were proposed， involving service procedures， intervention measures， documentation and records， patient education and follow-up， humanistic care， as well as risk management and quality control. Finally， post competency encompassed the competency requirements for pharmacists providing services in pharmacist-managed clinics， as well as the suggestions on teaching methods； practical research encouraged the conduct of high-quality pharmaceutical practice in the setting of pharmacist-managed clinics. The guidelines provide valuable guidance for the standardized implementation of pharmacist-managed clinics in China in terms of establishment， management， teaching， and research， fill the guideline gap in this field， and can promote the high-quality development of pharmacist-managed clinics.

AIM: To explore preoperative risk factors affecting residual astigmatism after Toric intraocular lens(IOL)implantation, and construct and verify a clinically applicable prediction model.METHODS: This retrospective study included patients who underwent Toric IOL implantation at Puyang Oilfield General Hospital and the Second People's Hospital of Puyang City from October 2023 to August 2025. Patients were categorized into two groups according to residual astigmatism at 3 mo postoperatively: >0.25 D group and ≤0.25 D group. Preoperative clinical data and ocular parameters of the two groups were collected and compared. Multivariate Logistic regression analysis was used to screen risk factors, and a nomogram prediction model was established accordingly. Receiver operating characteristic(ROC)curve, calibration curve, and Hosmer-Lemeshow test were adopted to evaluate discrimination, calibration, and clinical applicability of the model. Bootstrap method was applied for internal validation.RESULTS: Totally 103 patients(103 eyes)were included, with 72 patients(72 eyes)in the group with residual astigmatism ≤0.25 D, including 38 males and 34 females, with an average age of 67.35±6.12 y; There were 31 cases(31 eyes)in group with residual astigmatism >0.25 D, including 19 males and 12 females, with an average age of 69.87±6.45 y. The proportion of patients with a history of diabetes, as well as the values for axial length, horizontal corneal diameter, flat corneal curvature(K1), steep corneal curvature(K2), astigmatic axis and proportion of lens nuclear hardness grade III-IV were significantly higher in the residual astigmatism group >0.25 D than those in the residual astigmatism ≤0.25 D group(all P<0.05). Multivariate analysis identified increased horizontal corneal diameter, higher K1 value, higher K2 value, and higher lens nuclear hardness(grade III-IV)as independent risk factors for postoperative residual astigmatism >0.25 D(all P<0.05). The nomogram constructed from these factors demonstrated that the area under the ROC curve(AUC)was 0.794, with a sensitivity of 80.31% and a specificity of 75.20%. The concordance index(C-index)of internal validation was 0.865. Calibration curve and Hosmer-Lemeshow test(χ2=5.231, P=0.734)indicated good consistency between predicted and actual values of the model.CONCLUSION: The nomogram model established based on horizontal corneal diameter, K1, K2 and lens nucleus hardness exhibits favorable predictive performance. It can effectively predict the risk of residual astigmatism prior to Toric IOL surgery, providing reference for individualized clinical surgical planning.

Alzheimer’s disease (AD) is a prevalent neurodegenerative condition characterized by progressive cognitive decline and memory loss. As the incidence of AD continues to rise annually, researchers have shown keen interest in the active components found in natural plants and their neuroprotective effects against AD. Quercetin, a flavonol widely present in fruits and vegetables, has multiple biological effects including anticancer, anti-inflammatory, and antioxidant. Oxidative stress plays a central role in the pathogenesis of AD, and the antioxidant properties of quercetin are essential for its neuroprotective function. Quercetin can modulate multiple signaling pathways related to AD, such as Nrf2-ARE, JNK, p38 MAPK, PON2, PI3K/Akt, and PKC, all of which are closely related to oxidative stress. Furthermore, quercetin is capable of inhibiting the aggregation of β‑amyloid protein (Aβ) and the phosphorylation of tau protein, as well as the activity of β‑secretase 1 and acetylcholinesterase, thus slowing down the progression of the disease.The review also provides insights into the pharmacokinetic properties of quercetin, including its absorption, metabolism, and excretion, as well as its bioavailability challenges and clinical applications. To improve the bioavailability and enhance the targeting of quercetin, the potential of quercetin nanomedicine delivery systems in the treatment of AD is also discussed. In summary, the multifaceted mechanisms of quercetin against AD provide a new perspective for drug development. However, translating these findings into clinical practice requires overcoming current limitations and ongoing research. In this way, its therapeutic potential in the treatment of AD can be fully utilized.

Recent advances in large models demonstrate significant prospects for transforming the field of medical imaging. These models, including large language models, large visual models, and multimodal large models, offer unprecedented capabilities in processing and interpreting complex medical data across various imaging modalities. By leveraging self-supervised pretraining on vast unlabeled datasets, cross-modal representation learning, and domain-specific medical knowledge adaptation through fine-tuning, large models can achieve higher diagnostic accuracy and more efficient workflows for key clinical tasks. This review summarizes the concepts, methods, and progress of large models in medical imaging, highlighting their potential in precision medicine. The article first outlines the integration of multimodal data under large model technologies, approaches for training large models with medical datasets, and the need for robust evaluation metrics. It then explores how large models can revolutionize applications in critical tasks such as image segmentation, disease diagnosis, personalized treatment strategies, and real-time interactive systems, thus pushing the boundaries of traditional imaging analysis. Despite their potential, the practical implementation of large models in medical imaging faces notable challenges, including the scarcity of high-quality medical data, the need for optimized perception of imaging phenotypes, safety considerations, and seamless integration with existing clinical workflows and equipment. As research progresses, the development of more efficient, interpretable, and generalizable models will be critical to ensuring their reliable deployment across diverse clinical environments. This review aims to provide insights into the current state of the field and provide directions for future research to facilitate the broader adoption of large models in clinical practice.
Humans ; Diagnostic Imaging/methods* ; Precision Medicine/methods* ; Image Processing, Computer-Assisted/methods*