1.Guidelines for endoscopic and robotic breast surgery in China (2026 edition): Part one
Zhenggui DU ; Qing LÜ ; ; Pengwei LÜ ; ; Dajiang SONG ; Zihan WANG ; Benlong YANG ; Shicheng SU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(02):167-203
Recent research from the International Agency for Research on Cancer (IARC) of the World Health Organization (WHO) indicates that breast cancer is the most prevalent malignant tumor among women, posing a significant threat to women's health. Surgery remains the primary therapeutic modality for breast cancer. Recently, endoscopic and robotic breast surgical techniques have gained acceptance among both surgeons and patients. However, considerable variation exists in surgical approaches and outcomes. To standardize these techniques, facilitate their broader clinical adoption, and ultimately improve patient care, the Endoscopic-robotic Breast Surgery Clinical Trials Consortium (ErBSCTC) of China has developed this guideline. This document encompasses the technologies and instrumentation utilized in endoscopic and robotic breast surgery, surgical techniques, perioperative management, complication handling, long-term follow-up, and oncologic outcomes, aiming to provide evidence-based guidance for healthcare professionals involved in the prevention, diagnosis, and treatment of breast diseases.
2.Protocol for China endoscopic and robotic breast surgery guidelines (2026 edition)
Zhenggui DU ; Qing LÜ ; ; Pengwei LÜ ; ; Dajiang SONG ; Zihan WANG ; Benlong YANG ; Shicheng SU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(03):333-338
Breast cancer is the most common malignant tumor among women in China, with surgery being one of the primary treatment modalities. Endoscopic/robotic breast surgery (ErBS) is gaining widespread acceptance among patients and surgeons alike due to its advantages of minimal invasiveness, superior cosmetic outcomes, and accelerated recovery. However, substantial heterogeneity currently exists across China regarding patient selection, standardized operative techniques, perioperative management, and complication handling, underscoring the urgent need for evidence-based consensus guidelines. To promote standardization and ensure consistent quality of ErBS, the Chinese Endoscopic-Robotic Breast Surgery Clinical Trials Consortium (CErBSCTC) has systematically reviewed the latest high-quality evidence and formulated the "Protocol for China Endoscopic and Robotic Breast Surgery Guidelines (2026 edition)", which outlines a comprehensive methodology for guideline development.
3.Guidelines for endoscopic and robotic breast surgery in China (2026 edition): Part two
Zhenggui DU ; Qing LÜ ; ; Pengwei LÜ ; ; Dajiang SONG ; Zihan WANG ; Benlong YANG ; Shicheng SU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(04):487-521
This guideline, presented in three parts, details the core aspects of endoscopic/robotic breast surgery, including its techniques, equipment, surgical procedures, perioperative management, complication treatment, long-term follow-up, and outcomes. Part one offered a comprehensive overview of indications for endoscopic and robotic breast surgery, intraoperative techniques, surgical instrument choices, and common endoscopic and robotic breast reconstruction procedures. This part will cover other endoscopic breast procedures beyond immediate breast reconstruction and include perioperative management strategies, to provide healthcare professionals involved in endoscopic and robotic breast surgery with systematic operational guidelines and clinical decision-making references.
4.Peyton's Four-Step Teaching Method for Intestinal Ultrasound Training: Efficacy and Practical Implications
Zihan NIU ; Xiaoyan ZHANG ; Zhaojue WANG ; Qingli ZHU ; Mengsu XIAO ; Li MA ; Yudi HE ; Wenbo LI
Medical Journal of Peking Union Medical College Hospital 2026;17(2):591-596
To evaluate the application value of the Peyton four-step teaching method in the standardized training of intestinal ultrasound and compare it with traditional teaching methods, so as to provide an optimized approach for clinical ultrasound training. Participants from the Department of Ultrasound at Peking Union Medical College Hospital between September 2024 and March 2025 were randomly assigned to either the traditional group or Peyton group. The traditional group followed the conventional "lecture- demonstration-practice" model, while the Peyton group implemented the standardized "demonstration-deconstruction-comprehension-execution" four-step approach. All training focused on standard intestinal ultrasound scanning techniques. After the training, the operational skills were independently evaluated by the instructors. To verify the reproducibility of the teaching method, the participants in traditional teaching group received additional Peyton method training after the initial assessment and underwent a second evaluation. A total of 18 participants were included in this study, with 9 in the traditional teaching group and 9 in the Peyton teaching group. Participants in the Peyton group demonstrated significantly higher scores than those in the traditional group at every anatomical site assessed (all The Peyton four-step method is significantly more effective than traditional teaching in improving residents' intestinal ultrasound skills, demonstrating its suitability as the preferred approach for standardized training programs.
5.Mechanism Exploration of Doxorubicin and Sepsis Induced Myocardial Injury: Differences and Convergences
Tao ZHANG ; Zihan NAN ; Lixia LIU ; Jiaqi LIU ; Xiukai CHEN ; Xiaoting WANG ; Suwen SU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):23-32
Doxorubicin (DOX)-induced cardiotoxicity and sepsis-induced myocardial injury (SIMI) represent significant clinical challenges in patients undergoing chemotherapy, sharing a common pathological basis of oxidative stress and mitochondrial dysfunction. Ferroptosis, an iron-dependent form of regulated cell death driven by lipid peroxidation, has recently been shown to play a critical role in DOX-induced cardiotoxicity and lipopolysaccharide (LPS)-induced SIMI. This article systematically reviews the mechanisms underlying myocardial injury caused by DOX and sepsis, identifying ferroptosis as a central common pathway. DOX triggers a burst of reactive oxygen species within mitochondria and inhibits glutathione peroxidase 4 (GPX4) activity through redox cycling of its quinone group and high-affinity accumulation in mitochondrial cardiolipin. LPS, by activating pattern recognition receptors and related inflammatory signaling pathways, provokes a cytokine storm and mitochondrial dysfunction. Both can disrupt the core regulatory axis of cysteine-glutathione (GSH)-GPX4, synergistically promoting ferroptosis in cardiomyocytes. Moreover, epigenetic regulation plays a key role in DOX- and LPS-induced cardiomyocyte ferroptosis and may serve as a promising therapeutic target. A deeper understanding of the ferroptosis mechanism and its epigenetic regulatory network in the synergistic injury induced by DOX and sepsis is of great importance for developing novel strategies to mitigate chemotherapy-related cardiotoxicity and improve outcomes in cancer patients with concurrent infections.
6.Explainable Machine Learning Model for Predicting Prognosis in Patients with Malignant Tumors Complicated by Acute Respiratory Failure: Based on the eICU Collaborative Research Database in the United States
Zihan NAN ; Linan HAN ; Suwei LI ; Ziyi ZHU ; Qinqin ZHU ; Yan DUAN ; Xiaoting WANG ; Lixia LIU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):98-108
To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework. Clinical data of patients with malignant tumors and ARF were extracted from the eICU Collaborative Research Database in the United States, including demographic characteristics, comorbidities, vital signs, laboratory test indicators, and major interventions within the first 24 hours after ICU admission.The study outcome was ICU death.Enrolled patients were randomly divided into a training set and a validation set at a ratio of 7:3.Predictor variables were selected using least absolute shrinkage and selection operator (LASSO) regression.Five machine learning algorithms-extreme gradient boosting (XGBoost), support vector machine (SVM), Logistic regression, multilayer perceptron (MLP), and C5.0 Decision Tree-were employed to construct predictive models.Model performance was evaluated based on the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and other metrics.The optimal model was further interpreted using the Shapley additive explanations (SHAP) algorithm. A total of 3196 patients with malignant tumors complicated by ARF were included.The training set comprised 2, 261 patients and the validation set 935 patients; 683 patients died during ICU stay, while 2513 survived.LASSO regression ultimately selected 12 variables closely associated with patient ICU outcomes, including sepsis comorbidity, use of vasoactive drugs, and within the first 24 hours after ICU admission: minimum mean arterial pressure, maximum heart rate, maximum respiratory rate, minimum oxygen saturation, minimum serum bicarbonate, minimum blood urea nitrogen, maximum white blood cell count, maximum mean corpuscular volume, maximum serum potassium, and maximum blood glucose.After model evaluation, the XGBoost model demonstrated the best performance.The AUCs for predicting ICU mortality risk in the training and validation sets were 0.940 and 0.763, respectively; accuracy was 88.3% and 81.2%;sensitivity was 98.5% and 95.9%.Its predictive performance also remained optimal in sensitivity analyses.SHAP analysis indicated that the top five variables contributing to the model's predictions were minimum oxygen saturation, minimum serum bicarbonate, minimum mean arterial pressure, use of vasoactive drugs, and maximum white blood cell count. This study successfully developed a mortality risk prediction model for ICU patients with malignant tumors complicated by ARF based on a large-scale dataset and performed explainability analysis.The model aids clinicians in early identification of high-risk patients and implementing individualized interventions.
7.Construction and Validation of a Clinical Prediction Model for Inflammatory Remission Outcome of Bushen Zhiwang Decoction(补肾治尪汤)in the Treatment of Rheumatoid Arthritis with Liver and Kidney Deficiency Syndrome
Zihan WANG ; Xiaojing LIU ; Yanyu CHEN ; Tianyi LAN ; Huilan YANG ; Hongwei YU ; Qingwen TAO ; Yuan XU
Journal of Traditional Chinese Medicine 2026;67(5):523-533
ObjectiveTo construct and validate a clinical prediction model for inflammatory remission outcomes in rheumatoid arthritis (RA) patients with liver and kidney deficiency syndrome treated with Bushen Zhiwang Decoction (补肾治尪汤, BZD) based on metabolomics. MethodsA prospective cohort study was conducted, enrol-ling 60 RA patients with liver and kidney deficiency syndrome. All patients were treated with BZD and conventional-dose oral conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) for 12 months. Clinical data were collected, and the change in disease activity score in 28 joints (DAS28) after treatment compared with baseline (△DAS28) was used as the primary outcome and grouping criterion. Peripheral blood samples were collected before treatment to analyze plasma metabolites. Differential analysis and least absolute shrinkage and selection operator (LASSO) regression were used to preliminarily screen differential metabolites, followed by machine learning algorithms to further identify a core metabolite combination. Based on the expression levels of the core metabolite combination, a novel metabolite index, namely the metabolomics-based inflammatory remission score (Met-IRS), was calculated using standar-dized metabolite values, and its clinical applicability was evaluated. A clinical prediction model was constructed by integrating clinical characteristics and Met-IRS, and the model performance was assessed. ResultsAmong the 60 patients, those with △DAS28 ≥ 0.27 were assigned to the high inflammatory remission group, while those with △DAS28 < 0.27 were assigned to the low inflammatory remission group, with 30 cases in each group. Compared to the low inflammatory remission group, the high inflammatory remission group showed a higher frequency of methotrexate use and a lower positive rate of rheumatoid factor (RF) (P<0.05). Seven core metabolites were identified as the optimal combination, including mangiferic acid, fatty acid-hydroxy fatty acid ester 40∶6, fatty acid-hydroxy fatty acid ester 18∶0, fatty acid-hydroxy fatty acid ester 36∶1, glucosylceramide, lysophosphatidylcholine 22∶5, and pregnanetriol ketone. The calculated Met-IRS comprehensively reflected the characteristics of differential metabolites and demonstrated clinical applicability. Met-IRS was significantly higher in the high inflammatory remission group than in the low inflammatory remission group, and was positively correlated with high inflammatory remission outcomes (P<0.05). Based on the variables Met-IRS, methotrexate use, leflunomide use, and RF positivity, a clinical prediction model for inflammatory remission in RA treatment (Cj-RTRM) was constructed. Model performance evaluation demonstrated that the model had good clinical predictive ability, with an area under the receiver operating characteristic curve (AUC) of 0.880, sensitivity 0.967, specificity 0.700 and Youden's index 0.667. ConclusionThe clinical prediction model Cj-RTRM constructed based on the metabolomics-based inflammatory remission score Met-IRS can effectively predict clinical inflammatory remission outcomes in RA patients treated with BZD and accurately identify the advantageous population for this treatment. This model provides guiding evidence for dynamic inflammation monitoring, targeted management, and identification of populations with advantages in traditional Chinese medicine.
8.Comparative Analysis of Clinical Efficacy of Traditional Chinese Medicine Manipulative Reduction Combined with Small Splint Fixation Versus Surgical Treatment for Type A Distal Radius Fracture
Yang SHAO ; Zihan WANG ; Jianwei WANG ; Guoda DAI ; Hengyan CUI ; Zhen HUA ; Tingchen ZHU ; Shaoshuo LI ; Jun MAO ; Fenghua CHEN ; Shuai TAO ; Mao WU
Journal of Traditional Chinese Medicine 2026;67(10):1078-1085
ObjectiveTo compare the clinical efficacy of traditional Chinese medicine (TCM) manipulative reduction combined with small splint fixation versus surgical treatment for type A distal radius fracture (DRF) and to explore the factors influencing the choice of treatment. MethodsA multi-center retrospective study was conducted, collecting data from 1237 type A DRF patients treated in 11 hospitals in Jiangsu province from September, 2023 to April, 2025. Among them, 851 patients in the TCM group received manipulative reduction combined with small splint fixation, and 386 patients in the surgical group underwent open reduction and internal fixation. Visual analog scale (VAS) scores for pain and radiographic indicators including palmar tilt, ulnar deviation, and radial height were compared before treatment, 5-7 days after treatment, and 4-6 weeks after treatment. The wrist joint function scores including Dienst and Gartland-Werley scores at 12 weeks after treatment were recorded. Subgroup analysis was conducted for the excellent rate of Dienst and Gartland-Werley scores, stratified by age (<50, 50-59, 60-69, ≥70 years old) and AO subtypes (A1, A2, A3). A multivariate logistic regression model was used to identify independent factors influencing treatment choice. ResultsOn 5-7 days after treatment, the surgical group had lower VAS scores than the TCM group, while 4-6 weeks after treatment, the TCM group showed lower VAS scores than the surgical group (P<0.01). In terms of radiographic indicators, except for the palmar tilt before treatment being higher in the surgical group than in the TCM group (P<0.01), there were no significant differences in palmar tilt, ulnar deviation, and radial height at other timepoints (P>0.05). Twelve weeks after treatment, the surgical group had a higher average Gartland-Werley score and the excellent rate than the TCM group (P<0.01). Subgroup analysis showed that in patients with A2 type DRF aged 50-59 and 60-69 years old, the excellent rates of Dienst and Gartland-Werley scores in the TCM group were higher than those in the surgical group (P<0.05). Multivariate logistic regression analysis revealed that age, palmar tilt, ulnar deviation, and the degree of swelling on the affected side were independent factors influencing the choice of treatment (P<0.05). ConclusionBoth TCM manipulative reduction combined with small splint fixation and surgical treatment for type A DRF can achieve good therapeutic effects. TCM manipulative reduction combined with small splint fixation has certain advantages in medium- and long-term pain relief, especially in elderly patients, where wrist joint function recovery is more stable. Age, palmar tilt, ulnar deviation, and swelling degree are the main factors influencing the treatment choice.
9.Modern Expanded Application of Ancient Classic Formulae from the Perspective of Syndrome‑Formula Ontology Reconstruction
Guibin WANG ; Sijie LIN ; Zihan LIU ; Bo PANG
Journal of Traditional Chinese Medicine 2026;67(12):1251-1257
As the core carrier of the inheritance and innovation of traditional Chinese medicine (TCM), the modern expanded application of classic formulae is an inevitable trend for TCM to adapt to the changes in disease spectrum and achieve academic development. However, several challenges remain, including the vague definition of syndrome-formula ontology between ancient and modern times, the insufficient adaptability of the evidence grading system, and the disconnection between theory and clinical practice, having severely restricted the precise application and standardized development of classic formulae. Based on the current status of the modern expanded application of classic formulae, and grounded in the core theory of formula-syndrome correspondence in TCM, this paper constructs a theoretical framework of "syndrome-formula ontology reconstruction". The framework systematically expounds its core connotations, theoretical foundations and practical logic, and further clarifies the reconstruction direction of the TCM-specific evidence grading system by taking correspondence between formula and syndrome as the core, constructing a multi-dimensional and integrated evaluation framework, and adhering to the orientation of clinical application. The ultimate goal is to form a theoretical paradigm characterized by "syndrome-formula ontology reconstruction-evidence grading reconstruction-precise clinical application", thereby providing theoretical support for the digital inheritance, evidence-based development, and modern application of classical prescriptions.
10.Association of outdoor activity level and myopia among children and adolescents in Shanghai
Chinese Journal of School Health 2025;46(1):18-23
Objective:
To analyze the status of outdoor activities on weekends among children and adolescents of different educational stages in Shanghai and their impact on myopia, so as to provide a basis for formulating more specific prevention and control protocol of myopia.
Methods:
From September to October 2022, a stratified cluster random sampling method was employed to select 84 schools (27 kindergartens, 21 primary schools, 15 junior high schools and 21 high schools) across Shanghai, enrolling a total of 28 654 children and adolescents aged 4 to 18 for the study. Ophthalmic examinations were conducted to ascertain the prevalence of myopia among children and adolescents. Additionally, a questionnaire survey was administered to collect data on outdoor activity duration and associated factors. Multivariate Logistic regression analysis was utilized to investigate the associated factors of outdoor activity levels on weekends.
Results:
The overall myopia detection rate among children and adolescents was 58.4%, with a higher rate observed in girls (59.2%) compared to boys (57.6%). The myopia detection rates for children and adolescents with an average daily outdoor activity duration of ≥2 h and <2 h on weekends were 54.6% and 68.8%, and the differences were statistically significant ( χ 2=8.12,460.89, P <0.01). Multivariable Logistic regression analysis revealed that girls ( OR =0.80), those with a myopic parent ( OR =0.68), schools from urban districts ( OR =0.72), higher education stages (primary school: OR =0.65, junior high school: OR =0.24, high school: OR =0.14) and spending≥2 h/d on homework during weekends ( OR =0.57) among children and adolescents were less likely to engage in outdoor activities for ≥2 h on weekends ( P <0.01). After incorporating gender, parental myopia status, educational stage, school location, average daily duration on weekends for spending on homework, electronic product usage and outdoor activities as dependent variables in a multivariate Logistic regression analysis, the results showed that children and adolescents with an average outdoor activity duration for ≥2 h on weekends had a lower risk of myopia ( OR =0.86, P < 0.01).
Conclusions
The level of outdoor activity among children and adolescents on weekends needs to be improved. Outdoor activities on weekends is an associated factor for myopia among children and adolescents. Particularly, girls, those with myopic parents, schools from urban districts, and spending long hours on homework during weekends among children and adolescents require increased attention.


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