1.Compilation Instruction for Expert Consensus on Clinical Application of Binghuang Fule Ointment
Xin CUI ; Yanping BAI ; Ping SONG ; Yuanyuan LI ; Yanming XIE
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):267-273
Compilation instruction for Expert Consensus on Clinical Application of Binghuang Fule Ointment elaborates on the formulation methods and evidence-based basis of the consensus. To address the problems of insufficient evidence on efficacy, vague indications, and a lack of uniform standard for Binghuang Fule Ointment in clinical application, 34 experts from 29 medical institutions across China participated in the compilation under the lead of the Institute of Basic Research in Clinical Medicine and Xiyuan Hospital, China Academy of Chinese Medical Sciences, as well as China-Japan Friendship Hospital. The compilation strictly adhered to the WHO Handbook for Guideline Development (GB/T 1.1—2020), and the Guidance of Instructions for Compiling Expert Consensus on Clinical Practice of Chinese Patent Medicine. Through multidisciplinary collaboration, the compilation was completed using the Grading of Recommendations Assessment, Development and Evaluations (GRADE) evidence grading system. The detailed workflow included various key links. In clinical question construction, 15 items were screened by the nominal group method. In evidence retrieval, Chinese and English databases, along with gray literature, were covered to obtain 116 clinical and 33 pharmaceutical studies. In safety assessment, drug monitoring data and clinical research results were integrated, clarifying local adverse skin reactions and contraindications. Ultimately, 8 recommendations were formed by the GRADE grid method, while 16 consensus suggestions were reached via the majority vote rule. The results showed that the Binghuang Fule Ointment was applicable to eczema, psoriasis, neurodermatitis, tinea pedis, and other diseases. The Consensus also elucidated the syndrome differentiation points, usage and dosage for different diseases (such as adjustment of course and application frequency), as well as the indications of combination medication. Additionally, safety assessment suggested that the Ointment should be used with caution in individuals with skin ulceration or hypersensitivity. To ensure methodological rigor, the compilation process went through three rounds of internal and external expert reviews, while a comprehensive analysis was conducted by literature analysis, the Delphi method, and other methods. This compilation instruction provided methodological support for the clinical transformation of the Consensus through key links, including project initiation, international registration, informed consent, conflict-of-interest statements, evidence evaluation, and popularization. The Consensus will be continuously improved through a dynamic revision mechanism in the future.
2.Compilation Instruction for Expert Consensus on Clinical Application of Binghuang Fule Ointment
Xin CUI ; Yanping BAI ; Ping SONG ; Yuanyuan LI ; Yanming XIE
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):267-273
Compilation instruction for Expert Consensus on Clinical Application of Binghuang Fule Ointment elaborates on the formulation methods and evidence-based basis of the consensus. To address the problems of insufficient evidence on efficacy, vague indications, and a lack of uniform standard for Binghuang Fule Ointment in clinical application, 34 experts from 29 medical institutions across China participated in the compilation under the lead of the Institute of Basic Research in Clinical Medicine and Xiyuan Hospital, China Academy of Chinese Medical Sciences, as well as China-Japan Friendship Hospital. The compilation strictly adhered to the WHO Handbook for Guideline Development (GB/T 1.1—2020), and the Guidance of Instructions for Compiling Expert Consensus on Clinical Practice of Chinese Patent Medicine. Through multidisciplinary collaboration, the compilation was completed using the Grading of Recommendations Assessment, Development and Evaluations (GRADE) evidence grading system. The detailed workflow included various key links. In clinical question construction, 15 items were screened by the nominal group method. In evidence retrieval, Chinese and English databases, along with gray literature, were covered to obtain 116 clinical and 33 pharmaceutical studies. In safety assessment, drug monitoring data and clinical research results were integrated, clarifying local adverse skin reactions and contraindications. Ultimately, 8 recommendations were formed by the GRADE grid method, while 16 consensus suggestions were reached via the majority vote rule. The results showed that the Binghuang Fule Ointment was applicable to eczema, psoriasis, neurodermatitis, tinea pedis, and other diseases. The Consensus also elucidated the syndrome differentiation points, usage and dosage for different diseases (such as adjustment of course and application frequency), as well as the indications of combination medication. Additionally, safety assessment suggested that the Ointment should be used with caution in individuals with skin ulceration or hypersensitivity. To ensure methodological rigor, the compilation process went through three rounds of internal and external expert reviews, while a comprehensive analysis was conducted by literature analysis, the Delphi method, and other methods. This compilation instruction provided methodological support for the clinical transformation of the Consensus through key links, including project initiation, international registration, informed consent, conflict-of-interest statements, evidence evaluation, and popularization. The Consensus will be continuously improved through a dynamic revision mechanism in the future.
3.Expert Consensus on Clinical Application of SkinPro Ointment
Xin CUI ; Ping SONG ; Yuanyuan LI ; Yanping BAI ; Yanming XIE
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(9):163-170
SkinPro Ointment is an emulsion-based preparation derived from a traditional Tibetan medical empirical formula and developed using modern pharmaceutical technology. It is an exclusive patented product of Tibet Hairong Tangguo Pharmaceutical Co. Ltd. and has been listed as a National Protected Traditional Chinese Medicine Variety, the Pharmacopoeia of the People's Republic of China, and classified as a Category B product in the National Basic Medical Insurance Catalog. The ointment possesses the functions of clearing heat and drying dampness, activating blood circulation and dispelling wind, relieving itching and reducing inflammation. Clinically, it is used for skin pruritus caused by dampness-heat accumulation or blood-heat with wind-dryness, as well as pruritic skin diseases such as neurodermatitis, eczema, tinea pedis, and psoriasis. To clarify the standards for its clinical application and promote rational drug use, a consensus working group comprising 34 national experts in dermatology, evidence-based medicine, and pharmacy was established. Through expert interviews, the nominal group technique, and questionnaire surveys, 15 clinical issues were identified. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) evidence grading system was employed to assess the quality of evidence, leading to the formulation of the Expert Consensus on the Clinical Application of SkinPro Ointment. This consensus specifies that the intended users are physicians and pharmacists in medical institutions at all levels. It standardizes the clinical application of the ointment, including syndrome characteristics, dosage and course of treatment, combination therapy, precautions, and contraindications. Recommendations and consensus suggestions were formed addressing the 15 clinical issues, covering the following key areas: ①Indications and TCM syndromes: In TCM, the ointment mainly treats conditions such as "damp sores" (Shichuang), "white scaling" (Baibi), "collar sores" (Shelingchuang), and "damp foot Qi" (Jiaoshiqi), corresponding to eczema, psoriasis, neurodermatitis, and tinea pedis in Western medicine. The relevant TCM syndromes are identified as dampness-heat accumulation or blood-heat with wind-dryness. ②Usage and dosage: For external use, apply to the affected area 3 times daily. The dosage should follow the fingertip unit (FTU) principle. A treatment course of 1-2 weeks is recommended for mild to moderate cases; for serious cases, the course should be followed as prescribed by a physician. ③Combined therapy: The ointment can be used as monotherapy for mild cases. For moderate to severe cases, combination therapy is recommended, with reference to relevant clinical guidelines. ④Safety: Common adverse reactions include skin rashes, pruritus, and erythema. The ointment is contraindicated in patients with broken skin or obvious exudation at the affected area, as well as in patients with known hypersensitivity to any of its components. Contact with sensitive areas such as the eyes and oral mucosa should be avoided. Modern research shows that the ointment also has potential efficacy in other dermatological conditions, such as adult atopic dermatitis, tinea cruris, exfoliative keratolysis, acne vulgaris, and Malassezia folliculitis. This consensus provides a scientific basis for promoting the rational clinical use of SkinPro Ointment, improving its therapeutic efficacy, and reducing medication risks. Future updates will be dynamically revised according to emerging clinical issues and new evidence.
4.TCM Data Hub: A traditional Chinese medicine data platform powered by YiYuan large language models
Chongyun ZHOU ; Qin LI ; Tangming CUI ; Chaohui CUI ; Peiyu WANG ; Meiling SUN ; Ying NIE ; Yichen BAI ; Haiyan LI
Science of Traditional Chinese Medicine 2026;4(2):140-151
The digitization of traditional Chinese medicine (TCM) has generated vast amounts of data. However, these data are characterized by significant heterogeneity and complex semantic structures, posing substantial challenges for systematic integration and intelligent analysis, and limiting its potential for modern clinical and computational research. To address the challenges posed by the high heterogeneity and complex structure in TCM data, we designed and developed the TCM Data Hub platform, which is powered by the YiYuan large language models (LLMs). This platform aims to enhance intelligent data processing capabilities and unlock the potential for clinical application of TCM data through systematic integration and efficient utilization, thereby bridging the gap between traditional knowledge and modern computational research. This study first analyzed the heterogeneity and complexity of TCM information with respect to data types, structures, and semantics. A standardized data framework was constructed to enhance data integration and interoperability. Based on the TCM Intelligent Computing Platform of the China Academy of Chinese Medical Sciences, we trained the YiYuan LLMs to acquire domain-specific semantic understanding of TCM, thereby improving the platform’s comprehension of specialized terminology and knowledge systems. Leveraging the natural language processing capabilities of the LLMs, we developed a human-in-the-loop data processing system to enable efficient extraction, cleansing, and structured organization of TCM data. In addition, utilizing Vue and Java technologies, we developed multiple LLM-powered intelligent agents and systems, including a human-in-the-loop data processing system, as well as automated prescription mining and network pharmacology analysis agents. Task-specific agents tailored to TCM data processing were developed to enhance the model’s effectiveness in clinical knowledge discovery. System functionality and platform infrastructure were implemented using Java and Vue technologies.The TCM Data Hub platform has completed system construction and core functionality implementation. It supported integrated management and efficient access to 8 key types of TCM data: prescriptions, materia medica, ingredients, targets, diseases (Western medicine), diseases (TCM), syndromes, and therapeutic methods. The human-in-the-loop data processing system achieved an accuracy of 95.34% in structuring TCM data and supported annotation for data requiring manual labeling. The intelligent agent-driven big-data analytics module enabled 1-click, end-to-end workflows for TCM prescription mining, herb-syndrome association analysis, network pharmacology, and molecular biology research, completing a full data mining task in approximately 30 minutes. Users can interact with and manipulate data through a visual front-end interface. The system demonstrated stable performance, strong scalability, and a user-friendly experience. Empowered by the YiYuan LLMs, the TCM Data Hub platform significantly improves the accessibility, usability, and intelligence of TCM data. It effectively bridges traditional TCM knowledge with modern intelligent technologies, providing robust data support and intelligent tools for TCM research and clinical applications.
5.Treatment of Adolescent Bipolar Disorder Based on the Opening-Closing-Pivot Theory
Xiang LI ; Xue BAI ; Ruijing ZHANG ; Yanli MENG ; Xia CUI
Journal of Traditional Chinese Medicine 2026;67(14):1556-1559
Based on the opening-closing-pivot theory, this paper proposes that adolescent bipolar disorder is closely associated with taiyin (太阴), shaoyang (少阳), and jueyin (厥阴) channels. The principal pathogenesis involves dysfunction of the opening function of taiyin, impaired pivot function of shaoyang, and failure of the closing function of jueyin. Accordingly, the therapeutic principles include regulating taiyin to restore the ascending and descending movement of qi, harmonizing shaoyang to facilitate the pivot mechanism, and balancing yin and yang to reinforce the closing and storing function of jueyin. In clinical practice, Yihuang Powder (益黄散) and Tongxie Important Formula (痛泻要方) are commonly prescribed to regulate the qi movement of taiyin and restore its ascending and transporting functions, while Xiaochaihu Decoction (小柴胡汤) and Sini Powder (四逆散) are used to regulate the shaoyang pivot, and Wumei Pill (乌梅丸), Danggui Sini Decoction (当归四逆汤), and Huanglian Ejiao Decoction (黄连阿胶汤) combined with Shaoyao Gancao Decoction (芍药甘草汤) are employed to harmonize the jueyin closing mechanism. In addition, traditional daoyin (导引) exercise yi jin jing (易筋经) is incorporated to simultaneously regulate the body and mind by guiding internal regulation through external movement, thereby calming the body and tranquilizing the mind.
6.Treatment of Adolescent Bipolar Disorder Based on the Opening-Closing-Pivot Theory
Xiang LI ; Xue BAI ; Ruijing ZHANG ; Yanli MENG ; Xia CUI
Journal of Traditional Chinese Medicine 2026;67(14):1556-1559
Based on the opening-closing-pivot theory, this paper proposes that adolescent bipolar disorder is closely associated with taiyin (太阴), shaoyang (少阳), and jueyin (厥阴) channels. The principal pathogenesis involves dysfunction of the opening function of taiyin, impaired pivot function of shaoyang, and failure of the closing function of jueyin. Accordingly, the therapeutic principles include regulating taiyin to restore the ascending and descending movement of qi, harmonizing shaoyang to facilitate the pivot mechanism, and balancing yin and yang to reinforce the closing and storing function of jueyin. In clinical practice, Yihuang Powder (益黄散) and Tongxie Important Formula (痛泻要方) are commonly prescribed to regulate the qi movement of taiyin and restore its ascending and transporting functions, while Xiaochaihu Decoction (小柴胡汤) and Sini Powder (四逆散) are used to regulate the shaoyang pivot, and Wumei Pill (乌梅丸), Danggui Sini Decoction (当归四逆汤), and Huanglian Ejiao Decoction (黄连阿胶汤) combined with Shaoyao Gancao Decoction (芍药甘草汤) are employed to harmonize the jueyin closing mechanism. In addition, traditional daoyin (导引) exercise yi jin jing (易筋经) is incorporated to simultaneously regulate the body and mind by guiding internal regulation through external movement, thereby calming the body and tranquilizing the mind.
7.Network structure analysis of the association between physical fitness indicators and anxiety and depressive symptoms among college students
BAI Jianfei, CHEN Wenjia, CAO Chunxia, LI Jianhui, CUI Shuang, ZHAI Feng
Chinese Journal of School Health 2026;47(7):966-970
Objective:
To explore the micro associations and key bridge nodes between physical fitness indicators and anxiety/depressive symptoms among college students using network analysis, so as to provide a theoretical foundation for promoting physical and mental health of college students.
Methods:
From September to October 2025, a combination of purposive sampling and cluster sampling was employed to select 2 158 college students from three universities in Xuzhou City. Seven physical fitness indicators were measured and standardized according to the National Student Physical Health Standard. The Generalized Anxiety Disorder Scale-7 (GAD-7) and the Patient Health Questionnaire-9 (PHQ-9) were used to assess anxiety and depressive symptoms. Independent samples t-test was used for intergroup comparisons of physical fitness indicators and psychological symptom scores. A gaussian graphical model (GGM) was constructed to calculate node and bridge strength, followed by stability analyses.
Results:
The detection rates of anxiety and depressive symptoms among college students were 21.3% and 24.5%, respectively. Male participants demonstrated superior performance in physical fitness indicators such as vital capacity, 50 meter sprint, and standing long jump compared to female participants, whereas females exhibited better results in the sit and reach test ( t =48.35, -44.82 , 70.21, -16.51, all P <0.01). Regarding psychological indicators, female participants showed higher scores of anxiety and depressive symptoms than males ( t =-4.15, -4.46, both P <0.01). Physical fitness and psychological symptoms were predominantly negatively correlated. "feeling tired" and "not being able to stop or control worrying" were the symptoms with the highest centrality in the network of physical fitness and phychological symptoms among college students (standardized strengths were 2.15 and 1.98, respectively). Among the bridge indicators, the "1 000 m (male)/800 m (female) run" exhibited the highest strength (0.85), outperforming "vital capacity" (0.35); it was linked to the symptom cluster primarily by negatively predicting "feeling tired" (edge weight=-0.38). The network stability was excellent of physical fitness and phychological symptoms among college students (correlation stability coefficient= 0.60 ).
Conclusions
Endurance capacity serves as the most critical bridge connecting physical and mental health, and its decline is closely related to intensified feelings of fatigue. Colleges should prioritize endurance training as a core target for promoting college students mental health.
8.Spatial navigation performance and associated factors in patients with obstructive sleep apnea
Guangze CUI ; Rui ZHAO ; Hongyi ZHAO ; Yinxia BAI
Sichuan Mental Health 2026;39(4):367-374
BackgroundObstructive sleep apnea (OSA) represents a potential modifiable risk factor for cognitive impairment, while spatial navigation performance serves as a sensitive marker to detect such deficits at an early stage. Currently, polysomnography (PSG) is the gold standard for OSA diagnosis, with the apnea hypopnea index (AHI) used to stratify the disease severity. Nevertheless, AHI alone cannot fully explain the individual variability in cognitive impairment among OSA patients. Existing evidence indicates that sleep architecture disruption impairs spatial memory consolidation and subsequently alters spatial navigation through pathways independent of AHI, yet this hypothesis remains unvalidated in routine clinical OSA cohorts. ObjectiveTo compare the global cognitive function and spatial navigation performance across OSA patients of varying severities, and to analyze associated factors of spatial navigation performance, so as to provide clinical evidence for the early identification and intervention of cognitive impairment in OSA patients. MethodsThis cross-sectional study consecutively enrolled 135 outpatients from the Mental Health Center of Inner Mongolia Autonomous Region from March 8, 2024 to September 12, 2025. All participants completed PSG monitoring and fulfilled the OSA diagnostic criteria outlined in the Guidelines for the Diagnosis and Treatment of Adult Obstructive Sleep Apnea. Subjects were stratified into mild (5 ≤AHI < 15 events/h), moderate (15 ≤ AHI < 30 events/h), and severe (AHI ≥ 30 events/h) groups based on AHI values, and all PSG sleep architecture parameters were extracted for statistical analysis. Global cognitive function was evaluated using the Mini-Mental State Examination (MMSE), the Trail Making Test (including TMT-A and TMT-B), and two subtasks from the THINC Integrated Toolkit (THINC-it): the Spotter test (choice reaction time, CRT) and the Codebreaker test (digit symbol substitution test, DSST). Spatial navigation performance was assessed through the Santa Barbara Sense of Direction Scale (SBSOD) and the computerized AMUNET spatial navigation test. ResultsAmong the 135 OSA patients, 46 (34.07%) were classified into the mild group, 47 (34.82%) into the moderate group, and 42 (31.11%) into the severe group. In terms of cognitive function, there were no statistically significant intergroup differences across three groups in CRT, consecutive correct DSST responses, MMSE scores, and completion time of TMT-A and TMT-B (P>0.05). Regarding spatial navigation performance, no statistically significant differences were observed among three groups in SBSOD scores and the outcomes of the four AMUNET subtasks (P>0.05). Spearman correlation analyses revealed that the performance on the delayed allocentric AMUNET subtask was positively correlated with stage N2 duration, percentage of stage N2 sleep (N2%), and rapid eye movement (REM) latency (r=0.277, 0.296, 0.239, PFDR<0.05). In contrast, this subtask exhibited negative correlations with REM duration, percentage of REM sleep (REM%), stage N3 duration and percentage of stage N3 sleep (N3%) (r=-0.223–-0.175, PFDR<0.05). SBSOD score was positively correlated with the completion time of TMT-A and TMT-B (r=0.236, 0.278), and negatively correlated with MMSE scores (r=-0.311). For AMUNET indices, performance on the allocentric navigation subtask showed a positive correlation with CRT (r=0.013). Moreover, performance of both egocentric and allocentric navigation subtasks yielded positive correlations with the completion time of TMT-A and TMT-B (r=0.191–0.265, PFDR<0.05). Performance on the egocentric, allocentric, and combined egocentric–allocentric navigation subtasks was negatively correlated with MMSE scores and the consecutive correct DSST responses (r=-0.318–-0.207, PFDR<0.05). Hierarchical multiple liner regression analysis demonstrated that after controlling for baseline characteristics and global cognitive function, N2% emerged as a positive predictor of the delayed allocentric navigation subtask performance (β=0.242, 95% CI: 0.104–1.463). ConclusionPatients with OSA across all severity strata exhibit comparable global cognitive function and spatial navigation performance. Spatial memory is associated with sleep architecture parameters, among which N2% acts as an independent positive predictor of spatial memory performance. [Funded by Natural Science Foundation Project of Inner Mongolia Autonomous Region (number, 2024QN08050); Science and Technology Project for High-Level Clinical Specialty Development of Public Hospitals of the Capital Region under the Autonomous Region Health Commission of Inner Mongolia Autonomous Region in 2023 (number, 2023SGGZ047)]
9.Construction of a Diagnostic Model for Traditional Chinese Medicine Syndromes of Chronic Cough Based on the Voting Ensemble Machine Learning Algorithm
Yichen BAI ; Suyang QIN ; Chongyun ZHOU ; Liqing SHI ; Kun JI ; Chuchu ZHANG ; Panfei LI ; Tangming CUI ; Haiyan LI
Journal of Traditional Chinese Medicine 2025;66(11):1119-1127
ObjectiveTo explore the construction of a machine learning model for the diagnosis of traditional Chinese medicine (TCM) syndromes in chronic cough and the optimization of this model using the Voting ensemble algorithm. MethodsA retrospective analysis was conducted using clinical data from 921 patients with chronic cough treated at the Respiratory Department of Dongfang Hospital, Beijing University of Chinese Medicine. After standardized processing, 84 clinical features were extracted to determine TCM syndrome types. A specialized dataset for TCM syndrome diagnosis in chronic cough was formed by selecting syndrome types with more than 50 cases. The synthetic minority over-sampling technique (SMOTE) was employed to balance the dataset. Four base models, logistic regression (LR), decision tree (dt), multilayer perceptron (MLP), and Bagging, were constructed and integrated using a hard voting strategy to form a Voting ensemble model. Model performance was evaluated using accuracy, recall, precision, F1-score, receiver operating characteristic (ROC) curve, area under the curve (AUC), and confusion matrix. ResultsAmong the 921 cases, six syndrome types had over 50 cases each, phlegm-heat obstructing the lung (294 cases), wind pathogen latent in the lung (103 cases), cold-phlegm obstructing the lung (102 cases), damp-heat stagnating in the lung (64 cases), lung yang deficiency (54 cases), and phlegm-damp obstructing the lung (53 cases), yielding a total of 670 cases in the specialized dataset. High-frequency symptoms among these patients included cough, expectoration, odor-induced cough, throat itchiness, itch-induced cough, and cough triggered by cold wind. Among the four base models, the MLP model showed the best diagnostic performance (test accuracy: 0.9104; AUC: 0.9828). Compared with the base models, the Voting ensemble model achieved superior performance with an accuracy of 0.9289 on the training set and 0.9253 on the test set, showing a minimal overfitting gap of 0.0036. It also achieved the highest AUC (0.9836) in the test set, outperforming all base models. The model exhi-bited especially strong diagnostic performance for damp-heat stagnating in the lung (AUC: 0.9984) and wind pathogen latent in the lung (AUC: 0.9970). ConclusionThe Voting ensemble algorithm effectively integrates the strengths of multiple machine learning models, resulting in an optimized diagnostic model for TCM syndromes in chronic cough with high accuracy and enhanced generalization ability.
10.The influence of microvessel density and microlymphatic vessel density on prognosis in hypopharyngeal carcinoma and the construction.
Cong XU ; Lanzhen CUI ; Xiaoxiao LIU ; Jing BAI ; Lijun ZHANG ; Yu PENG ; Xiaoming LI
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(12):1143-1149
Objective:This study aims to investigate the influence of microvessel density(MVD) and microlymphatic vessel density(MLVD) on the prognosis of patients with hypopharyngeal squamous cell carcinoma(HPSCC) and to develop a nomogram prediction model for prognosis based on pathological characteristics. Methods:A retrospective analysis was conducted on clinicopathological and follow-up data from HPSCC patients who underwent surgical treatment at our institution between June 2010 and June 2020. Immunohistochemical staining was performed on tumor tissues and adjacent normal margin tissues to evaluate MVD and MLVD. The associations among MVD, MLVD, and clinicopathological features were analyzed. Univariate and multivariate Cox regression analyses were conducted to identify independent risk factors affecting overall survival(OS). Based on these findings, a nomogram model was constructed and its predictive accuracy was assessed using C-index, receiver operating characteristic(ROC) curve, and calibration curve. Results:Both MVD and MLVD were significantly higher in HPSCC tumor tissues compared to normal tissues. Patients in the high MVD and high MLVD groups exhibited significantly lower OS rates than those in the low MVD and low MLVD groups. Multivariate Cox regression analysis revealed that N stage, recurrence, nerve invasion, lymph node capsule invasion, MVD, and MLVD were independent prognostic factors of OS. Based on these factors, a nomogram prognosis model was successfully constructed. The nomograms demonstrated superior performance in terms of C-index, area under the ROC curve, and calibration, outperforming the AJCC TNM staging system. Conclusion:Elevated MVD and MLVD levels are associated with poorer prognosis in HPSCC patients. The nomogram model based on pathological features provides valuable insights for clinical assessment and decision-making.
Humans
;
Hypopharyngeal Neoplasms/blood supply*
;
Prognosis
;
Retrospective Studies
;
Microvascular Density
;
Nomograms
;
Lymphatic Vessels/pathology*
;
Male
;
Female
;
Middle Aged
;
Carcinoma, Squamous Cell/blood supply*
;
Microvessels/pathology*
;
Lymphatic Metastasis
;
Survival Rate


Result Analysis
Print
Save
E-mail