1.Diagnostic and prognostic value of differential expression of Cyclin D1 and p53 in eyelid tumors
Minli MA ; Jingjing ZHANG ; Ying LIU ; Hongyan SONG ; Fang LIN ; Qi MA
International Eye Science 2026;26(3):511-517
AIM: To investigate the diagnostic and prognostic value of differential expression of Cyclin D1 and p53 in eyelid tumors.METHODS: This retrospective study enrolled patients who underwent surgical resection for eyelid tumors at our hospital between March 2018 and March 2023. Participants were categorized into benign and malignant groups based on tumor characteristics. Clinical data were collected. Genetic data for eyelid tumors were obtained from the GEO database, and differential gene analysis, including volcano plot visualization and KEGG pathway enrichment analysis, was performed using the Sangerbox 3.0 platform. Immunohistochemistry was used to detect the expression levels of Cyclin D1, p53, and BAX in tissue samples. Correlations with clinical features were analyzed using Spearman analysis, and prognostic factors were identified via Logistic regression analysis.RESULTS: This study included 69 patients with eyelid tumors(78 eyes), categorized into a benign group(37 patients, 41 eyes)and a malignant group(32 patients, 37 eyes)based on tumor characteristics. There were significant differences between the two groups in histological subtype, TNM staging, vascular invasion, differentiation status, and local infiltration(all P<0.05). Among benign tumors: pigmented nevi in 11 eyes(27%), hemangiomas in 9 eyes(22%), squamous cell papillomas in 5 eyes(12%), epidermoid cysts in 5 eyes(12%), seborrheic keratoses in 4 eyes(10%), neurofibromas in 3 eyes(7%), and both calcifying epithelioma and xanthelasma in 2 eyes each(5%); among malignant tumors: basal cell carcinoma in 18 eyes(49%), meibomian gland carcinoma in 8 eyes(22%), squamous cell carcinoma in 5 eyes(14%), sebaceous gland carcinoma in 4 eyes(11%), lymphoma and malignant melanoma each in 1 eye(3%). At the follow-up cutoff date of March 2025, the 2-year survival rate in the benign group(95%)was significantly higher than that in the malignant group(78%; P<0.05). Bioinformatics analysis identified 4 103 differentially expressed genes, including Cyclin D1, p53, and BAX, which were predominantly involved in pathways such as the p53 signaling pathway and calcium-related signaling. Spearman analysis revealed that local invasion(rs=0.71, P<0.05)and TNM stage(rs=0.73, P<0.05)correlated with Cyclin D1 expression; local invasion(rs=0.76, P<0.05)and histological subtype(rs=0.65, P<0.05)correlated with p53 expression. Logistic regression results indicated that Cyclin D1, p53, TNM staging, and local invasion were prognostic risk factors. ROC curve analysis demonstrated that the combined detection of these four indicators had the highest predictive value for prognosis(AUC=0.83).CONCLUSION: High expression of cyclin D1 and p53 serves as molecular markers for distinguishing benign from malignant eyelid tumors and assessing prognosis. Combined detection of these markers with TNM staging and local invasion demonstrates high predictive value for prognosis.
2.Interpretation of Evidence-to-decision Framework and Its Application in Pharmacovigilance Guidelines of Chinese Patent Medicines
Hongyan ZHANG ; Xin CUI ; Yuanyuan LI ; Zhifei WANG ; Mengmeng WANG ; Shuo YANG ; Xiaoxiao ZHAO ; Fumei LIU ; Yaxin WANG ; Rui MA ; Yanming XIE ; Lianxin WANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):220-228
To interpret the evidence-to-decision (EtD) framework and to illustrate its application in traditional Chinese medicine (TCM) guideline development using the example of the Pharmacovigilance Guideline of Chinese Patent Medicine, thereby providing methodological references for TCM guideline standardization. Based on the core three stages of the EtD framework (formulating the question, making an assessment of the evidence, and drawing conclusions), critical decision points and evaluation evidence within the evidence-translation process were systematically addressed, aligning with the purpose, scope, and key questions of the guideline. Qualitative research methods, such as the nominal group technique, were employed to formulate recommendations. The analysis was conducted based on the EtD framework. During question formulation, the specific characteristics and practical needs of pharmacovigilance for Chinese patent medicines were clarified, focusing on the core objective of safety assurance throughout the product lifecycle. In the evidence assessment, multi-source evidence was integrated, including policy documents, literature research, and expert consensus, completing the evidence evaluation. Finally, in recommendation-forming, dispersed research evidence and expert experience were synthesized into consensus, culminating in the guideline's completion through solicitation of opinions and peer review. The EtD framework provides a structured tool for evidence-to-decision translation in TCM guideline development, effectively enhancing the transparency and scientific rigor of the process. Therefore, it is recommended that TCM guideline development adopt the EtD framework to improve the evidence-to-decision process with TCM characteristics.
3.Interpretation of Evidence-to-decision Framework and Its Application in Pharmacovigilance Guidelines of Chinese Patent Medicines
Hongyan ZHANG ; Xin CUI ; Yuanyuan LI ; Zhifei WANG ; Mengmeng WANG ; Shuo YANG ; Xiaoxiao ZHAO ; Fumei LIU ; Yaxin WANG ; Rui MA ; Yanming XIE ; Lianxin WANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):220-228
To interpret the evidence-to-decision (EtD) framework and to illustrate its application in traditional Chinese medicine (TCM) guideline development using the example of the Pharmacovigilance Guideline of Chinese Patent Medicine, thereby providing methodological references for TCM guideline standardization. Based on the core three stages of the EtD framework (formulating the question, making an assessment of the evidence, and drawing conclusions), critical decision points and evaluation evidence within the evidence-translation process were systematically addressed, aligning with the purpose, scope, and key questions of the guideline. Qualitative research methods, such as the nominal group technique, were employed to formulate recommendations. The analysis was conducted based on the EtD framework. During question formulation, the specific characteristics and practical needs of pharmacovigilance for Chinese patent medicines were clarified, focusing on the core objective of safety assurance throughout the product lifecycle. In the evidence assessment, multi-source evidence was integrated, including policy documents, literature research, and expert consensus, completing the evidence evaluation. Finally, in recommendation-forming, dispersed research evidence and expert experience were synthesized into consensus, culminating in the guideline's completion through solicitation of opinions and peer review. The EtD framework provides a structured tool for evidence-to-decision translation in TCM guideline development, effectively enhancing the transparency and scientific rigor of the process. Therefore, it is recommended that TCM guideline development adopt the EtD framework to improve the evidence-to-decision process with TCM characteristics.
4.Practical Exploration on Assisting Prescription Rationality Evaluation Based on DeepSeeK Large Language Model
Hongyan MA ; Xiao ZHOU ; Biyao ZHANG ; Chongde SHEN
Herald of Medicine 2025;44(12):2057-2061
Objective To explore the application of the DeepSeek large languagemodel in assessing prescription ration-ality and evaluating its implementation effectiveness.Methods A random sample of 5 099 outpatient and emergency prescrip-tion records from our hospital in a specific month of 2024 was collected.The DeepSeeK large language model employs vector data-base technology for prescription review.An evaluation metrics analysis was conducted between the DeepSeeK's reviews and phar-macist evaluations.Performance metrics including accuracy,precision,recall,specificity,and F1 were systematically calculated.Error pattern analysis encompassed false positive rate,false negative rate,and categorical comparison of discrepant prescriptions.Statistical deviation assessments were performed using x2 and Kappa coefficient to quantify inter-rater consistency.Results This study contains a total of 5 099 data,pharmacist group's review results are reasonable for 4 879 cases and unreasonable for 220 cases.In contrast,The Deepseek model's review results in the AI group are reasonable for 4904 cases and unreasonable for 195 cases.The evaluation accuracy rate of the DeepSeeK model is approximately 93.82%,the precision rate is approximately 25.64%,the recall rate is approximately 22.73%,the specificity is approximately 97.03%,and the F1 value of the model is ap-proximately 24.13%.Conclusion With rapid advancements in artificial intelligence,large language models like DeepSeek,leveraging their superior language comprehension and knowledge reasoning capabilities,can effectively assist pharmacists in pre-scription review,offering new technical support for clinical medication safety.
5.Quantitative Analysis of Urate Deposition via Dual-Energy Spectrum CT in Acute Gouty Knee Osteoarthritis with Correlation to Hematology Indices
Hongyang MA ; Li LIU ; Wei ZHONG ; Honggang LIU ; Hongyan MENG ; Yanming LIANG
Chinese Journal of Medical Imaging 2025;33(2):192-196,204
Purpose To explored the correlation between imaging features and patient's blood markers based on quantitative analysis of urate deposition in acute exacerbations of gouty arthritis of the knee by dual-energy spectrum CT(DECT).Materials and Methods A retrospective analysis was conducted on energy spectrum CT imaging of 72 patients clinically diagnosed with acute gouty knee osteoarthritis and 87 patients with non-gouty knee disease during the acute exacerbation period at the First Hospital of Qiqihar from January 2020 to September 2023.The analysis aimed to evaluate urate deposition in different parts of the knee joints and to analyze the influencing factors of urate deposition combined with the blood test indexes of the patients via receiver operating characteristic curves.Results The neutrophil lymphocyte ratio showed a positive correlation with C-reactive protein,erythrocyte sedimentation rate,and urate concentration at the site of urate deposition in gouty nodules of the knee(r=0.354,0.326,0.260,respectively,all P<0.05).The mean platelet volume was significantly positive correlated with the semi-quantitative data of monosodium urate crystals and urate concentration in the knee(r=0.563,0.257,respectively,P<0.05).In the gout group,C-reactive protein was positively correlated with pararticular soft tissue urate concentration and bone urate concentration(r=0.498,0.166,P<0.05),while erythrocyte sedimentation rate was positively correlated with pararticular soft tissue(tendons,ligaments,etc)urate concentration(r=0.325,P<0.01).Additionally,serum uric acid was positively correlated with gouty nodules in the knee joints and pararticular soft tissue(tendons,ligaments,etc)(r=0.264,0.243,respectively,P<0.05).The cut-off values of neutrophil lymphocyte ratio,platelet lymphocyte ratio and mean platelet volume combined with dual-energy energetic spectroscopic CT imaging data in the diagnosis of gouty knee osteoarthritis points were 2.190,122.96 and 9.049,respectively.Conclusion Energetic spectrum CT can identify and quantify urate crystals at the early stage.And blood test indexes such as mean platelet volume,erythrocyte sedimentation rate and serum uric acid have potential value in evaluating the activity of gout and the degree of migration of the disease in gouty knee osteoarthritis.
6.Practical Exploration on Assisting Prescription Rationality Evaluation Based on DeepSeeK Large Language Model
Hongyan MA ; Xiao ZHOU ; Biyao ZHANG ; Chongde SHEN
Herald of Medicine 2025;44(12):2057-2061
Objective To explore the application of the DeepSeek large languagemodel in assessing prescription ration-ality and evaluating its implementation effectiveness.Methods A random sample of 5 099 outpatient and emergency prescrip-tion records from our hospital in a specific month of 2024 was collected.The DeepSeeK large language model employs vector data-base technology for prescription review.An evaluation metrics analysis was conducted between the DeepSeeK's reviews and phar-macist evaluations.Performance metrics including accuracy,precision,recall,specificity,and F1 were systematically calculated.Error pattern analysis encompassed false positive rate,false negative rate,and categorical comparison of discrepant prescriptions.Statistical deviation assessments were performed using x2 and Kappa coefficient to quantify inter-rater consistency.Results This study contains a total of 5 099 data,pharmacist group's review results are reasonable for 4 879 cases and unreasonable for 220 cases.In contrast,The Deepseek model's review results in the AI group are reasonable for 4904 cases and unreasonable for 195 cases.The evaluation accuracy rate of the DeepSeeK model is approximately 93.82%,the precision rate is approximately 25.64%,the recall rate is approximately 22.73%,the specificity is approximately 97.03%,and the F1 value of the model is ap-proximately 24.13%.Conclusion With rapid advancements in artificial intelligence,large language models like DeepSeek,leveraging their superior language comprehension and knowledge reasoning capabilities,can effectively assist pharmacists in pre-scription review,offering new technical support for clinical medication safety.
7.Treatment and monitoring of a case of suppurative arthritis complicated with sepsis secondary to tophi rupture
Hongyan MA ; Gengrui XU ; Kaiyuan HUANG ; Xiaokang WANG ; Haidong WU ; Kai DENG ; Peitao XIE
Chinese Journal of Pharmacoepidemiology 2025;34(10):1213-1218
This article retrospectively analyzed the involvement of clinical pharmacists in the treatment process and implementation of pharmacological supervision in a patient with septic arthritis secondary to tophi ulceration.The patient was admitted to the hospital and the emergency debridement and tophi removal were performed.Piperacillin-tazobactam,imipenem cilastatin,levofloxacin,linezolid,and vancomycin were given successively,and multiple debridement and drainage were performed,but the patient remained febrile and had recurrent infection indicators.According to the relevant guidelines and evidence-based evidence,combined with the patient's infection indicators,pathogen results and creatinine clearance rate,the clinical pharmacists recommended stopping vancomycin and changing to cefazolin,and the clinicians adopted it.After that,the patient's inflammatory indicators gradually decreased,and the body temperature stabilized.After 28 days of piperacillin-tazobactam administration,the patient developed a reduction in white blood cell count(2.34×109·L-1)and potassium(2.98 mmol·L-1).The pharmacist recommended prompt discontinuation of the drug,and the patient's white blood cell count and potassium gradually recovered.Eventually,after anti-infective treatment and surgical intervention,the patient was discharged with closure of the infected foci,conversion of multiple blood cultures to negative,and stabilisation of body temperature and renal function.This case reflects the role of clinical pharmacists in the management of drug treatment of critically ill patients,and may provide practical experience and reference for clinical treatment of such cases.
8.Mediating role of emotion regulation strategies in the relationship between loneliness and self-perceived aging in elderly postoperative gastric cancer patients
Xiuli MA ; Jianping ZHANG ; Hongyan ZHANG
Chinese Journal of Modern Nursing 2025;31(25):3473-3478
Objective:To explore the effect of loneliness on self-perceived aging among elderly patients after gastric cancer surgery, and to examine the mediating role of emotion regulation strategies, in order to provide a basis for clinical interventions.Methods:A convenience sample of 220 elderly postoperative gastric cancer patients hospitalized in Shanxi Provincial Cancer Hospital between August and November 2024 was selected. Data were collected using a general demographic questionnaire, the Emotion Regulation Questionnaire (ERQ), the Cancer Loneliness Scale (CLS), and the Brief Aging Perceptions Questionnaire (B-APQ). A structural equation model was constructed using AMOS 26.0, and the significance of the mediating effect was tested using the bootstrap method with 5 000 resamples.Results:A total of 220 questionnaires were distributed in this study, and 203 valid questionnaires were recovered, with a response rate of 92.27%. The total B-APQ score was (47.45±11.43). For the ERQ, the score for cognitive reappraisal was (22.80±8.17), and for expressive suppression was (18.37±5.10). The CLS score was (18.19±6.11). Mediation analysis showed that loneliness had a direct effect of 0.353 on self-perceived aging. Emotion regulation strategy—cognitive reappraisal—partially mediated the relationship between loneliness and self-perceived aging, with a mediation effect value of 0.178, accounting for 33.52% of the total effect (0.178/0.531) .Conclusions:Clinical practitioners should implement interventions to reduce loneliness in elderly patients after gastric cancer surgery and guide them in adopting cognitive reappraisal as an emotion regulation strategy. These approaches may help promote positive aging in this patient population.
9.Treatment and monitoring of a case of suppurative arthritis complicated with sepsis secondary to tophi rupture
Hongyan MA ; Gengrui XU ; Kaiyuan HUANG ; Xiaokang WANG ; Haidong WU ; Kai DENG ; Peitao XIE
Chinese Journal of Pharmacoepidemiology 2025;34(10):1213-1218
This article retrospectively analyzed the involvement of clinical pharmacists in the treatment process and implementation of pharmacological supervision in a patient with septic arthritis secondary to tophi ulceration.The patient was admitted to the hospital and the emergency debridement and tophi removal were performed.Piperacillin-tazobactam,imipenem cilastatin,levofloxacin,linezolid,and vancomycin were given successively,and multiple debridement and drainage were performed,but the patient remained febrile and had recurrent infection indicators.According to the relevant guidelines and evidence-based evidence,combined with the patient's infection indicators,pathogen results and creatinine clearance rate,the clinical pharmacists recommended stopping vancomycin and changing to cefazolin,and the clinicians adopted it.After that,the patient's inflammatory indicators gradually decreased,and the body temperature stabilized.After 28 days of piperacillin-tazobactam administration,the patient developed a reduction in white blood cell count(2.34×109·L-1)and potassium(2.98 mmol·L-1).The pharmacist recommended prompt discontinuation of the drug,and the patient's white blood cell count and potassium gradually recovered.Eventually,after anti-infective treatment and surgical intervention,the patient was discharged with closure of the infected foci,conversion of multiple blood cultures to negative,and stabilisation of body temperature and renal function.This case reflects the role of clinical pharmacists in the management of drug treatment of critically ill patients,and may provide practical experience and reference for clinical treatment of such cases.
10.Spatially fractionated proton therapy (SFPT) for bulky tumors: A preliminary clinical exploration
Lei LIU ; Tao MA ; Xiaoming LU ; Hongyan ZHANG ; Tao ZHOU ; Shuanghu YUAN
Chinese Journal of Radiological Medicine and Protection 2025;45(9):863-869
Objective:To report the preliminary clinical exploration result of spatially fractionated radiation therapy (SFPT) using the pencil-beam-scanning (PBS) technique at a single center for the treatment of patients with bulky tumors.Methods:Data on the clinical characteristics, tumor characteristics, and dosimetric parameters were retrospectively collected from patients with bulky tumors at the Radiation Oncology Department, Ion Medical Center, First Affiliated Hospital of University of Science and Technology of China (i.e., the Hefei Ion Medical Center) from April 2024 to December 2024. Three-dimensional lattice radiotherapy (LRT) was primarily utilized in the SFRT, with multi-field robust optimization performed using pencil beam scanning. SFRT target volumes (STVs) were defined as 1.0 cm-diameter spheres. Primary observation indicators included the remission rate of tumor-associated symptoms, followed by the local tumor control rate.Results:A total of 12 patients were enrolled in this study, with a median age of 61 years (28-85 years). The primary tumors included hepatocellular carcinoma (six patients), sarcomas (three patients), and lung cancer (two patients). Eight patients received concurrent systemic therapy. The SFRT plans showed a median gross tumor volume (GTV) of 429.63 cm 3 (120.60-2 053.30 cm 3), a median STV number of 8 (3-20), a single-fraction dose to STVs of 10 GyE, a median irradiation quantity of 6 (3-8), a median STV of 8 cm 3 (3-20 cm 3), a median STV proportion of 2.09% (0.62%-3.30%), a median GTV corresponding to a single STV of 52.91 cm 3 (30.25-159.82 cm 3), and a median peak-to-valley dose ratio of 3.37 (2.29-7.60). All patients received conventionally fractionated proton therapy (CFPT), with a median prescription dose of 50 GyE (40-60 GyE). Furthermore, these patients showed a median follow-up time of 174 d (133-235 d), a remission rate of tumor-associated symptoms of 75%, and a local control rate of 100%. Four patients experienced grade 1-2 treatment-related adverse events, suggesting high overall tolerability of the patients. Conclusions:SFRT represents a promising technique with high control rates and tolerability for bulky tumors, providing the possibility for quick symptom relief and the control of tumor progression.

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