Loading...

Table of Content

    20 November 2026, Volume 29 Issue 33
    Guidelines·Consensus·Interpretation
    Chinese Expert Consensus on Family Meetings in Pediatric Palliative Care
    Subspecialty Group of Pediatric Palliative Care, Hematology Group, Pediatrics Society of Chinese Medical Association
    2026, 29(33):  4833-4840.  DOI: 10.12114/j.issn.1007-9572.2026.0139
    Asbtract ( )   HTML ( )   PDF (1376KB) ( )  
    Figures and Tables | References | Related Articles | Metrics

    Family meetings are widely recognized as an integral component of pediatric palliative care, facilitating effective communication between healthcare professionals and families, providing emotional support, and promoting individualized care planning. In China, however, their implementation remains at an early stage, and standardized procedures and operational guidelines have yet to be fully established. To support the systematic and standardized implementation of family meetings, this consensus statement was developed based on a systematic literature review and expert consensus meetings. Recommendations address five key clinical questions concerning the timing and duration of family meetings, participant composition, meeting format and setting, standardized procedures, and strategies for addressing special family circumstances and complex decision-making scenarios. Throughout the development process, a multidisciplinary expert panel undertook iterative evaluation and refinement, incorporating feedback to ensure that the recommended approach was comprehensive and adaptable to the needs of individual patients and families. This consensus statement aims to provide healthcare professionals with structured guidance to enhance the quality of family meetings in pediatric palliative care in China.

    Interpretation and Discussion of the RACGP Guidelines for Preventive Activities in General Practice: Sleep Problems
    XIA Lin, JIANG Yue
    2026, 29(33):  4841-4846.  DOI: 10.12114/j.issn.1007-9572.2026.0075
    Asbtract ( )   HTML ( )   PDF (1272KB) ( )  
    References | Related Articles | Metrics

    The prevalence of sleep problems continues to rise worldwide, and more and more people have sleep problems, covering all types of sleep disorders, which not only seriously affect the daytime function and quality of life of patients, but also are closely related to a variety of chronic diseases such as cardiovascular disease and cognitive impairment. As a primary medical service focusing on the diagnosis, treatment and health management of common diseases, frequently-occurring diseases and chronic diseases, general practitioners, as the "gatekeeper" of primary medical services, occupy a key position in the early screening, diagnosis, intervention and prevention of sleep problems. Based on the interpretation of the Guidelines for Preventive Activities in General Practice (10th Edition) issued by the Royal Australian College of General Practitioners (RACGP), this paper explores the relationship between sleep disorders and related diseases, focusing on the relationship between obstructive sleep apnea (OSA) and sleep disorders. It is of significance for general practitioners to identify the appropriate intervention strategies and contents, to clarify the key links of general intervention for sleep disorders, and to apply cognitive behavioral therapy to improve sleep health.

    Interpretation and Discussion of the RACGP Guidelines for Preventive Activities in General Practice: Vision Problems
    LI Tianzi, JIANG Yue
    2026, 29(33):  4847-4853.  DOI: 10.12114/j.issn.1007-9572.2025.0467
    Asbtract ( )   HTML ( )   PDF (1316KB) ( )  
    References | Related Articles | Metrics

    Vision problems persist throughout the entire life cycle and have become an increasingly prominent issue among populations across all life stages. How to manage them long-term is a critical question for general practitioners (GPs). This article focuses on vision-related issues outlined in Royal Australian College of General Practitioners (RACGP) Guidelines for Preventive Activities in General Practice (10th Edition). It provides in-depth interpretation and analysis, particularly regarding children aged 3-5 years, screening for glaucoma risk populations, and the detection of diabetic eye disease in elderly populations. The aim is to further explore and analyze the core responsibilities and significance of vision management by primary care GPs across different age groups, propose scientific and specific screening and preventive action guidelines, and offer practical strategies and recommendations for improving community-based work.

    Article
    Multicenter, Double Blind, Randomized, Controlled Study on Metabolic Formula Combined with Metformin Intervening Type 2 Diabetes Patients with Obesity
    HU Ruomeng, LIU Zhidong, CHEN Junlan, WANG Miao, ZHOU Shigao
    2026, 29(33):  4854-4860.  DOI: 10.12114/j.issn.1007-9572.2023.0789
    Asbtract ( )   HTML ( )   PDF (1406KB) ( )  
    Figures and Tables | References | Related Articles | Metrics
    Background

    Obesity is an important risk factor for type 2 diabetes mellitus (T2DM), which can further aggravate insulin resistance and increase the difficulty of glycemic management. Current glucose-lowering therapies have certain limitations in improving body weight and metabolic disorders. Traditional Chinese medicine (TCM), characterized by multi-target metabolic regulation, may provide potential advantages in the comprehensive management of patients with T2DM complicated by obesity; however, high-quality randomized controlled clinical evidence remains limited.

    Objective

    To investigate the effects of Metabolic Formula combined with metformin on body weight, glucose and lipid metabolism-related indicators, and TCM syndrome scores in patients with T2DM complicated by obesity, and to evaluate its safety.

    Methods

    This was a randomized, double-blind, placebo-controlled clinical trial. A total of 266 patients with T2DM complicated by obesity who visited the Longhua Hospital Shanghai University of Traditional Chinese Medicine from May 2021 to November 2022 were enrolled and randomly assigned using a random number table to the Metabolic Formula group and the control group at a 1∶1 ratio, with 133 patients in each group. Both groups received metformin treatment and lifestyle management. The Metabolic Formula group received additional Metabolic Formula granules, whereas the control group received placebo granules. The intervention lasted for 12 weeks. Changes in body weight, BMI, waist circumference, hip circumference, waist-to-hip ratio, fasting blood glucose (FBG), 2-hour postprandial glucose (2 hPG), glycated hemoglobin (HbA1c), fasting insulin (FINS), homeostasis model assessment of insulin resistance (HOMA-IR), lipid profiles, and TCM syndrome scores were compared between the two groups before and after treatment. Adverse events were also recorded.

    Results

    A total of 126 patients in the Metabolic Formula group and 123 patients in the control group completed the 12-week intervention. No significant differences were observed in baseline characteristics or outcome measures between the two groups before treatment (P>0.05). After treatment, compared with the control group, patients in the Metabolic Formula group showed significantly greater improvements in body weight, BMI, FBG, 2 hPG, HbA1c, FINS, HOMA-IR, and TCM syndrome scores (P<0.05). No serious adverse events occurred in either group during the treatment period.

    Conclusion

    Metabolic Formula combined with metformin can further improve glucose and lipid metabolic abnormalities, reduce body weight, and improve TCM syndrome scores in patients with T2DM complicated by obesity. This therapeutic strategy demonstrates favorable clinical value and safety.

    Construction of a Carotid Plaque Risk Prediction Model among High-risk Cardiovascular Populations
    XIA Ying, YU Jiayang, GUO Shenao, HONG Xin
    2026, 29(33):  4861-4867.  DOI: 10.12114/j.issn.1007-9572.2025.0312
    Asbtract ( )   HTML ( )   PDF (1653KB) ( )  
    Figures and Tables | References | Related Articles | Metrics
    Background

    Cardiovascular disease (CVD) is the leading cause of morbidity and mortality worldwide. Carotid plaque (CP), as an important marker of atherosclerosis, can be used to predict cardiovascular events. However, conventional ultrasound screening is limited in large-scale populations. Exploring machine learning-based prediction models may facilitate the early identification of CP and the prevention and control of CVD.

    Objective

    To explore the construction of a machine learning prediction model for CP risk among high-risk CVD populations.

    Methods

    Data from 5 666 participants in Nanjing, collected between September 2023 and August 2025 as part of the "Jiangsu Province Early Screening and Comprehensive Intervention Program for High-Risk Cardiovascular Populations" were analyzed. The dataset was randomly divided into training and testing sets at a 7∶3 ratio. Variables selected via Least Absolute Shrinkage and Selection Operator (LASSO) regression were used as independent variables, with CP as the outcome. Logistic Regression (LR), Categorical Boosting (CatBoost), Extreme Gradient Boosting (XGBoost), Elastic Net (EN), and Support Vector Machine (SVM) models were constructed. Model performance was comprehensively evaluated using the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, and F1 score on the test set. The Shapley Additive Explanations (SHAP) method was employed to interpret the best-performing model.

    Results

    A total of 5 666 participants were included, comprising 3 005 males (53.0%) and 2 661 females (47.0%). There were 2 027 (35.8%) in the normal group and 3 639 (64.2%) in the CP group. LASSO regression identified 21 key variables with non-zero coefficients, including sex, region, electrocardiogram results, age, serum uric acid, estimated glomerular filtration rate, glycated hemoglobin A1c (HbA1c), homocysteine (Hcy), non-high-density lipoprotein cholesterol, apolipoprotein B (ApoB), creatine kinase-MB (CK-MB), diastolic blood pressure, pulse pressure, urine pH, urine specific gravity, education level, current occupation, smoking status, alcohol consumption, physical activity, and sleep quality. Among the models, XGBoost demonstrated the best overall predictive performance in the training set (AUC=0.747, accuracy=0.693, sensitivity=0.732, specificity=0.623, F1 score=0.754). SHAP analysis ranked the feature importance as follows: age, Hcy, CK-MB, region, HbA1c, ApoB, and sex.

    Conclusion

    The CP risk prediction model based on the XGBoost machine learning algorithm showed the best performance among high-risk CVD populations. This model may provide a simple and low-cost tool for primary healthcare institutions to facilitate early identification of individuals with CP, support timely intervention at the early stage of atherosclerosis, and help reduce the risk of adverse CVD outcomes.

    Association between Body Weight Change and Risk of New-onset Hyperuricemia in Adults Undergoing Health Examinations
    WEN Junxin, SHI Tinghuang, QIN Qingxin, LIANG Yanyu, MENG Fanli
    2026, 29(33):  4868-4875.  DOI: 10.12114/j.issn.1007-9572.2025.0514
    Asbtract ( )   HTML ( )   PDF (1803KB) ( )  
    Figures and Tables | References | Related Articles | Metrics
    Background

    Hyperuricemia (HUA) has become a common metabolic disease in China. Although obesity is an established independent risk factor for HUA, previous studies have mainly focused on static body weight indicators. Evidence on the impact of dynamic body weight changes on HUA risk and its population heterogeneity remains limited.

    Objective

    To explore the association between dynamic body weight changes and the risk of new-onset hyperuricemia in adults undergoing health examinations, providing a scientific basis for formulating personalized prevention strategies.

    Methods

    A total of 18 179 adult participants who underwent health examinations at least twice between January 2015 and May 2025 at the Health Management Center, the First Affiliated Hospital of Hainan Medical University were enrolled. Baseline was defined as the first examination, and the follow-up endpoint was new-onset HUA or the last follow-up. Body weight change was defined as the percentage change from baseline to follow-up endpoint and categorized into five groups: significant weight loss (body weight change≤-5.0%), modest weight loss (-5.0%< body weight change≤-1.0%), stable weight (-1.0%< body weight change <1.0%), modest weight gain (1.0%≤body weight change <5.0%), and significant weight gain (body weight change≥5.0%). Demographic characteristics, physical examination indicators, and laboratory test results were collected. Univariate and multivariate Logistic regression models were employed to analyze the association between body weight change and new-onset HUA. A restricted cubic spline (RCS) model was applied to fit the dose-response relationship between body weight change percentage and HUA risk. Subgroup analyses and interaction tests were performed by sex, age, and baseline BMI. Furthermore, joint effect analysis was conducted to clarify the combined influence of sex, age, baseline BMI, and body weight change on HUA risk.

    Results

    During a total follow-up of 52 016 person-years, with a mean follow-up of (2.88±2.11) years, 2 686 new HUA cases were identified, with an incidence density of 51.64 per 1 000 person-years. Multivariate Logistic regression models showed that, compared with the stable weight group, significant weight loss was associated with a 38.2% lower risk of HUA (OR=0.618, 95%CI=0.489-0.782, P<0.01), while significant weight gain was associated with a 42.8% higher risk (OR=1.428, 95%CI=1.192-1.711, P<0.01). No evidence of a nonlinear association between percentage body weight change and HUA risk was observed (Pnonlinear=0.631). Significant interactions existed between body weight change and sex, age, and baseline BMI (P<0.01). Joint effect analysis further confirmed that the protective effect of substantial body weight loss on HUA was more prominent in females (OR=0.167, 95%CI=0.105-0.266), non-overweight/non-obese individuals (baseline BMI<24.0 kg/m2)(OR=0.569, 95%CI=0.377-0.860) and people aged 18-<40 years (OR=0.418, 95%CI=0.263-0.663)(P<0.05).

    Conclusion

    Significant body weight gain is associated with increased HUA risk, while significant body weight loss is associated with decreased risk. This association exhibits heterogeneity by sex, age, and baseline BMI. Differentiated weight management strategies tailored to different populations should be implemented to effectively reduce HUA incidence.

    Study on the Correlation between Phase Angle and Abnormal Glucose and Lipid Metabolism in Overweight/Obese Patients and Its Predictive Value
    LI Jixin, QIU Linjie, REN Yan, LI Meijie, ZOU Chacha, WU Zijing, WANG Wenru, YANG Zhenyu, LIU Fengzhao, ZHANG Jin
    2026, 29(33):  4876-4884.  DOI: 10.12114/j.issn.1007-9572.2025.0148
    Asbtract ( )   HTML ( )   PDF (1781KB) ( )  
    Figures and Tables | References | Related Articles | Metrics
    Background

    Overweight/obese individuals are prone to concomitant glucose and lipid metabolism disorders, which may further induce cardiovascular and cerebrovascular diseases. Therefore, identifying simple, effective, and cost-efficient methods for early detection of glucose and lipid metabolism abnormalities in overweight/obese populations is of significant importance. Phase angle (PhA) holds potential clinical value due to its non-invasive nature, simplicity, and ability to reflect health status.

    Objective

    To investigate the correlation between PhA and glucose/lipid metabolism abnormalities in overweight/obese patients, as well as its predictive value.

    Methods

    A total of 1 034 overweight/obese patients undergoing health examinations at Xiyuan Hospital of China Academy of Chinese Medical Sciences from 2021 to 2024 were enrolled. Participants were categorized based on the presence of type 2 diabetes mellitus (T2DM) and dyslipidemia: non-T2DM group (n=736) and T2DM group (n=298), non-dyslipidemic group (n=382) and dyslipidemic group (n=652). Patient data were collected and compared. Logistic regression and linear regression models were employed to analyze the correlation between PhA and the risk of T2DM, as well as its association with fasting plasma glucose (FPG) levels. Additionally, the relationship between PhA and the risk of dyslipidemia, along with its correlation with total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) levels. Interaction tests were performed based on gender, age, smoking history, and alcohol consumption history. ROC curves were used to evaluate the predictive efficacy of PhA for T2DM and dyslipidemia risk in overweight/obese patients.

    Results

    This study included 1 034 overweight/obese patients, comprising 546 males (52.80%) and 488 females (47.20%), with a mean age of (51.8±15.3) years. Among them, 298 patients had T2DM and 652 had dyslipidemia. Comparisons of gender, age, weight, BMI, systolic blood pressure, diastolic blood pressure, LDL-C, FPG, TG, HDL-C, PhA, smoking history, and drinking history between different glucose and lipid metabolism abnormality groups showed statistically significant differences (P<0.05). After adjusting for relevant variables, logistic regression analysis revealed that for each unit increase in PhA among overweight/obese patients, the risk of T2DM and dyslipidemia decreased to 37% (OR=0.37, 95%CI=0.31-0.46, P<0.01) and 42% (OR=0.42, 95%CI=0.35-0.52, P<0.01). Linear regression analysis revealed that for each unit increase in PhA among overweight/obese patients, FPG levels decreased by 0.39 units (β=-0.39, 95%CI=-0.48 to -0.29, P<0.01), while TC, TG, and LDL-C levels decreased by 0.15 (β=-0.15, 95%CI=-0.22 to -0.09), 0.42 (β=-0.42, 95%CI=-0.49 to -0.35), and 0.12 (β=-0.12, 95%CI=-0.23 to -0.01) (P<0.05), respectively. Subgroup analysis revealed that elevated PhA levels conferred greater benefits in improving glucose and lipid metabolism among patients aged ≥52 years and non-drinkers (Pinteraction<0.05). The area under the ROC curve (AUC) for PhA in predicting T2DM and dyslipidemia risk in overweight/obese patients was 0.737 (95%CI=0.702-0.772) and 0.662 (95%CI=0.628-0.696), respectively, with optimal cutoff values of 4.15° and 5.15°.

    Conclusion

    PhA negatively correlates with the risk of T2DM and dyslipidemia in overweight/obese patients and demonstrates good predictive efficacy for abnormal glucose and lipid metabolism. It can be used for early identification of T2DM and dyslipidemia in overweight/obese patients.

    Clinical Characteristics and Risk Factors of Adverse Drug Reactions in Patients with High-risk Pregnancy
    LI Shanshan, MIAO Caiyun, MAO Peizhi, SHEN Longhui
    2026, 29(33):  4885-4890.  DOI: 10.12114/j.issn.1007-9572.2026.0039
    Asbtract ( )   HTML ( )   PDF (1561KB) ( )  
    Figures and Tables | References | Related Articles | Metrics
    Background

    Patients with high-risk pregnancy often have multiple complications, and drug safety in this special physiological state has attracted increasing attention. At present, studies on the clinical characteristics and risk factors of adverse drug reactions (ADR) in this population remain limited, and evidence for targeted medication risk assessment is lacking.

    Objective

    To analyze the clinical characteristics and risk factors of ADR in hospitalized patients with high-risk pregnancy, and to provide a reference for safe medication use.

    Methods

    Clinical data from 402 hospitalized patients with high-risk pregnancy admitted to Women and Children's Hospital of Ningbo University from January 2024 to May 2025 were retrospectively collected. Suspected ADR were assessed using the Naranjo Adverse Drug Reaction Probability Scale. Patients were divided into an ADR group and a non-ADR group according to the occurrence of ADR. The clinical characteristics of ADR were analyzed, and multivariate Logistic regression was performed to identify factors associated with ADR occurrence in patients with high-risk pregnancy.

    Results

    A total of 53 patients experienced ADR, with an incidence of 13.18%. The severity of ADR was mainly mild (50.94%, 27/53) and moderate (49.06%, 26/53). ADR involved 11 suspected drugs, mainly drugs for the reproductive system, endocrine system, and anti-infective agents. The main drugs causing ADR were ritodrine hydrochloride injection (72.22%, 13/18), magnesium sulfate injection (47.06%, 24/51), and human insulin injection (19.05%, 4/21). Clinical manifestations of ADR included chest tightness, tachycardia, and nausea, and mainly led to systemic diseases and various administration site reactions, gastrointestinal diseases, and cardiac disorders. Multivariate Logistic regression analysis showed that longer hospitalization duration (OR=1.085, 95%CI=1.020-1.156) and a greater number of prescriptions (OR=1.177, 95%CI=1.027-1.349) were independent risk factors for ADR in hospitalized patients with high-risk pregnancy (P<0.05), whereas higher gestational age (OR=0.906, 95%CI=0.854-0.962) was a protective factor for ADR occurrence in patients with high-risk pregnancy (P<0.05).

    Conclusion

    The incidence of ADR in patients with high-risk pregnancy was 13.18%, and most cases were mild to moderate. The main implicated drugs were ritodrine hydrochloride injection, magnesium sulfate injection, and human insulin injection. Hospitalization duration, gestational age, and number of prescriptions were factors associated with ADR occurrence in this population. In clinical medication management, targeted strategies for safe drug use can be implemented according to these factors to improve medication safety.

    The Expression of PAIP1 in Breast Cancer and the Effect on the Proliferation, Migration and Glycolysis of Breast Cancer Cells
    WANG Qingkun, YANG Wenqing, HAN Yue, ZHANG Yu, ZHU Lu, WANG Yubing, WANG Shuhao, ZHAO Lei, PIAO Junjie
    2026, 29(33):  4891-4899.  DOI: 10.12114/j.issn.1007-9572.2025.0296
    Asbtract ( )   HTML ( )   PDF (2183KB) ( )  
    Figures and Tables | References | Related Articles | Metrics
    Background

    Current studies indicate that poly A-binding-protein-interacting protein 1 (PAIP1) is highly expressed in various tumors, yet research on its role in breast cancer remains scarce, and the underlying mechanisms are not yet fully understood.

    Objective

    To investigate the expression of PAIP1 protein in breast cancer and its relationship with clinicopathological characteristics, and to explore the role of PAIP1 in the biological functions of breast cancer cell proliferation, invasion and glycolysis.

    Methods

    Collect data from the GEO database (841 cases of breast cancer tissue and 631 cases of adjacent tissue) and the TCGA database (1 060 cases of breast cancer tissue and 111 cases of adjacent tissue, including different clinical stages of breast cancer: stageⅠ, 351 cases; stageⅡ, 379 cases; stageⅢ, 364 cases; stageⅣ, 77 cases) to analyze PAIP1 mRNA expression. Enroll 159 patients with invasive breast cancer who were treated in the Breast Surgery Department of Yanbian University Hospital from February 2012 to March 2013 as the study subjects. Collect surgical specimens of cancerous and adjacent tissues, and detect PAIP1 expression using immunohistochemistry. Transfect small hairpin RNA (sh-RNA) to silence PAIP1 expression in two breast cancer cell lines, SK-BR-3 and MCF-7, and divide the cells into three groups: the Control group, the PAIP1-shRNA group, and the PI3K activator (740Y-P)+PAIP1-shRNA group. Use the cell counting kit-8 (CCK8) method and plate cloning experiments to assess the proliferative capacity of the two breast cancer cell lines. Conduct scratch assays and cell migration experiments to evaluate the migration ability of the two cell lines. Employ Western blotting to examine the expression of proteins related to the phosphoinositide 3-kinase (PI3K)/protein kinase B (AKT)/mammalian target of rapamycin (mTOR) signaling pathway, as well as E-cadherin and vimentin. Measure ATP, lactate, and glucose levels in the two breast cancer cell lines using colorimetric methods.

    Results

    According to the immune histochemical analysis results from the GEO and TCGA databases and clinical collected case specimens, the PAIP1 mRNA expression levels in adjacent tissues were consistently lower than those in breast cancer tissues (P<0.05). Additionally, TCGA data analysis revealed that PAIP1 mRNA expression levels in clinical stage Ⅱ were lower than those in stages Ⅲ-Ⅳ (P<0.05). CCK8 and colony formation assays demonstrated that in both breast cancer cell lines, the PAIP1-shRNA group exhibited lower proliferation capacity and colony formation counts compared to the Control group (P<0.05), while the 740Y-P+PAIP1-shRNA group showed higher values than the PAIP1-shRNA group (P<0.05). Scratch and cell migration assays indicated that in both breast cancer cell lines, the PAIP1-shRNA and 740Y-P+PAIP1-shRNA groups displayed reduced lateral and longitudinal migration capabilities compared to the Control group (P<0.05), with the 740Y-P+PAIP1-shRNA group showing higher migration than the PAIP1-shRNA group (P<0.05). Western blot results revealed that in both breast cancer cell lines, the PAIP1-shRNA group exhibited lower protein expression levels of phosphorylated PI3K (p-PI3K), phosphorylated AKT (p-AKT), phosphorylated mTOR (p-mTOR), Vimentin, hexokinase 2 (HK2), glucose transporter 2 (GLUT2), glucose transporter 3 (GLUT3), and lactate dehydrogenase (LDH) compared to the Control group (P<0.05), while E-Cadherin levels were higher (P<0.05). The 740Y-P+PAIP1-shRNA group showed higher protein expression levels of p-PI3K, p-AKT, p-mTOR, Vimentin, HK2, GLUT2, GLUT3, and LDH than the PAIP1-shRNA group (P<0.05), but lower E-Cadherin levels (P<0.01). Additionally, HK2, GLUT2, GLUT3, and LDH expression levels were lower than those in the Control group (P<0.05). Glucose, lactate, and ATP detection results showed that in both breast cancer cell lines, the PAIP1-shRNA and 740Y-P+PAIP1-shRNA groups exhibited lower ATP, glucose, and lactate levels than the Control group (P<0.05), with the 740Y-P+PAIP1-shRNA group showing higher levels than the PAIP1-shRNA group (P<0.01).

    Conclusion

    PAIP1 protein is highly expressed in breast cancer tissue. Silencing PAIP1 inhibits the proliferation, migration and glycolysis of breast cancer cells via inhibiting the PI3K/AKT/mTOR signaling pathway.

    Relationship between Steroidogenic Factor-1 Expression and Hormone Levels in Patients with Pituitary Adenoma and Its Predictive Value for Postoperative Recurrence
    DONG Wei, DONG Xiaoliu, ZHANG Li, ZHANG Huan, ZHANG Yu
    2026, 29(33):  4900-4906.  DOI: 10.12114/j.issn.1007-9572.2025.0311
    Asbtract ( )   HTML ( )   PDF (1882KB) ( )  
    Figures and Tables | References | Related Articles | Metrics
    Background

    Some pituitary adenomas (PA) are resistant to medical therapy, motivating investigation of pituitary-related transcription factors as therapeutic targets. The prognostic value of steroidogenic factor-1 (SF-1) level for postoperative outcomes in PA remains underexplored.

    Objective

    To analyze the relationship between SF-1 and hormone levels and to evaluate their value in predicting postoperative recurrence for PA patients.

    Methods

    In this prospective study, 104 patients diagnosed with PA at Tangshan People's Hospital between May 2022 and June 2023 who underwent gross total resection were enrolled. Relative SF-1 mRNA expression level was measured in PA tissue and adjacent non-tumorous tissue. Based on SF-1 mRNA levels, patients were grouped into low expression (n=49) and high expression (n=55) cohorts. Baseline characteristics and hormone profiles were compared between groups. Stratified regression analyses were performed using hormone indices as independent variables and SF-1 mRNA level as the dependent variable to evaluate hormonal influences on SF-1mRNA expression. Patients were also classified by postoperative outcome into recurrence (n=40) and non-recurrence (n=64) groups to assess the association between SF-1 mRNA expression level and recurrence. Receiver operating characteristic (ROC) analysis, restricted cubic spline (RCS) modeling with threshold-effect analysis, and Kaplan-Meier survival analysis were used to evaluate predictive performance and recurrence-free survival.

    Results

    SF-1 mRNA expression level was significantly higher in PA tissue (1.05±0.21) than in adjacent tissue (0.38±0.07) (t=30.867, P<0.05). The SF-1 high-expression group exhibited higher levels of growth hormone (GH), anterior gradient 2 (AGR2), prolactin (PRL), thyroid-stimulating hormone (TSH), and adrenocorticotropic hormone (ACTH) compared with the low-expression group (P<0.05). Stratified regression identified GH, AGR2, PRL, TSH, and ACTH as positive predictors of SF-1 mRNA expression level (P<0.05). Comparisons between recurrence and non-recurrence groups demonstrated statistically significant differences in SF-1 mRNA expression level, tumor stage, histological differentiation, GH, AGR2, PRL, TSH and ACTH (P<0.05). Multivariate Logistic regression indicated that SF-1 mRNA expression level remained an independent predictor of postoperative recurrence after adjustment for covariates (P<0.05). The area under the curve (AUC) for SF-1 mRNA expression level predicting postoperative recurrence was 0.705 (95%CI=0.604-0.806, P<0.005); The optimal cutoff was 0.87, yielding sensitivity 0.806 and specificity 0.634. RCS analysis identified an inflection point at 0.87 for SF-1 mRNA expression level, the OR for recurrence per unit increase in SF-1 mRNA were 1.006 (95%CI=1.002-1.011, P=0.026) before the inflection and 1.007 (95%CI=1.005-1.009, P=0.017) after it, indicating a rising recurrence risk with increasing SF-1 mRNA expression level. Kaplan-Meier analysis showed median recurrence-free survival of 15 months (95%CI=11.16-18.43) in the SF-1 mRNA high-expression group versus 28 months (95%CI=23.54-31.54) in the low-expression group; the difference was significant by log-rank test (χ2=7.861, P<0.001).

    Conclusion

    SF-1 mRNA is markedly upregulated in PA tissue and its high expression is independently associated with elevated GH, AGR2, PRL, TSH, and ACTH levels. SF-1 mRNA expression level may serve as a potential biomarker to assess hormonal status and predict postoperative recurrence risk in PA patients.

    The Transformation of the Medical Paradigm from Disease Treatment to Whole-Life-Cycle Health Management
    LI Yongbin, WANG Wenxin, YANG Xiaoguang, SHI Hui
    2026, 29(33):  4907-4913.  DOI: 10.12114/j.issn.1007-9572.2025.0190
    Asbtract ( )   HTML ( )   PDF (1690KB) ( )  
    Figures and Tables | References | Related Articles | Metrics

    With population aging and the advent of longevity era, healthcare systems face unprecedented challenges. This paper analyzes the limitations of current medical models in addressing longevity society's health needs, including service fragmentation, unbalanced resource allocation, and healthcare sustainability crisis. Based on value-based healthcare and integrated care theories, it proposes a whole life cycle health management paradigm emphasizing three transformation pathways: preventive intervention, integrated coordination, and multi-dimensional support. In this paradigm, general practitioners play a key role as health"gatekeepers"by advancing health intervention points, providing comprehensive health screening, and strengthening community health services, promoting chronic disease management and medical-nursing integration, and achieving system support through multi-level medical security, health information interconnection, and collaborative governance. This medical paradigm transformation is an important path to achieving the Healthy China 2030 goals, requiring theoretical innovation, practical exploration, and policy coordination.

    Research on Artificial Intelligence Ethics Literacy among Medical School Teachers
    WANG Zhenyu, GUO Pengfei, HAO Wenhui
    2026, 29(33):  4914-4921.  DOI: 10.12114/j.issn.1007-9572.2025.0187
    Asbtract ( )   HTML ( )   PDF (1805KB) ( )  
    Figures and Tables | References | Related Articles | Metrics

    The application of artificial intelligence in the field of medicine has become an important driving force for coupling the gap between basic research and clinical practice and reshaping the diagnosis and treatment paradigm, which has also formed a paradigm challenge to traditional medical ethics education while reshaping the medical decision-making process and doctor-patient interaction mode. In this context, the systematic construction of artificial intelligence ethical literacy among medical school teachers has become a key issue in promoting the intelligent transformation of medical education. This study responds to the dilemma of medical artificial intelligence ethics education through the integration of theory construction, mechanism analysis and practice path design, constructs a literacy framework that includes cognitive, competence and value dimensions from the intersection of philosophy of technology and medical ethics, reveals the logic of generating ethical literacy from the three-dimensional mechanisms of endogenous drive, exogenous synergy and dynamic evolution, and elucidates the interaction law of subject's cognitive iteration, institutional contextual shaping and risk adaptation. It also elucidates the interaction between the subject's cognitive iteration, institutional situation shaping and risk adjustment. Finally, through the design of a framework for the integration of ethical cognition and technological practice, the innovation of multimodal practical training mechanisms driven by clinical scenarios, and the institutional empowerment of ecological governance, a closed-loop system of collaborative cultivation of artificial intelligence ethical literacy among medical school teachers is formed.

    Focus Groups Studies·Children and Adolescents
    Analysis of High-risk Factors for Drug Resistant Epilepsy in Children and the Impact of Different Functional Regions in Pediatric Patients
    LIU Yu, KONG Lina, DU Kaixian, GUAN Jing, CHEN Hao, LI Lin, LI Xiao, SONG Panpan, PENG Yanhua
    2026, 29(33):  4922-4927.  DOI: 10.12114/j.issn.1007-9572.2025.0279
    Asbtract ( )   HTML ( )   PDF (1765KB) ( )  
    Figures and Tables | References | Related Articles | Metrics
    Background

    Drug resistant epilepsy (DRE) in children is a common neurological disorder during childhood. Approximately one-third of pediatric epilepsy patients fail to achieve sustained seizure freedom despite receiving two appropriate and well-tolerated antiepileptic drugs. Long-term, recurrent seizures or status epilepticus can severely impact a child's cognition, memory, quality of life, psychosocial development, and physical growth. Additionally, DRE causes multifaceted irreversible damage to a child's neurological development.

    Objective

    To explore risk factors contributing to DRE in children and its impact on the development of different functional regions in pediatric patients.

    Methods

    This study enrolled 250 newly diagnosed pediatric epilepsy patients from the Department of Pediatric Neurology at the Third Affiliated Hospital of Zhengzhou University between January 2023 and October 2024. Based on drug treatment efficacy, they were categorized into a drug-resistant group (n=94) and a non-drug-resistant group (n=156). A control group of 80 typically developing children who underwent the Chinese version of the Griffiths Mental Development Scale (GDS-C) assessment at the same hospital during the same period served as the normal control group. We collected clinical data and GDS-C assessment results for pediatric patients, evaluating six domains: motor, personal and social, language, eye-hand coordination, performance, and practical reasoning. Statistical analysis was performed using SPSS 25.0 software. Multivariate Logistic stepwise regression analysis was employed to explore risk factors for DRE in children. The ROC curve for predicting childhood DRE was plotted using high-risk factors and composite indicators.

    Results

    The drug-resistant group and non-drug-resistant group differed significantly in body weight, age at onset, initial trigger for first seizure, seizure pattern changes, genetic etiology, structural etiology, unknown etiology, pre-treatment seizure duration, pre-treatment seizure frequency, status epilepticus, efficacy of first antiepileptic drug, developmental delay, history of febrile seizures, birth history, fibrinogen, blood ammonia, ceruloplasmin, vitamin D, cranial MRI, initial EEG, EEG after 6 months of treatment, multifocal epileptiform discharges, chromosomal and genetic testing. Differences were statistically significant (P<0.05). Results of the multivariate Logistic stepwise regression analysis revealed that poor efficacy of the first antiepileptic drug (OR=18.928, 95%CI=8.392-42.693, P<0.001), prolonged seizure duration prior to treatment (OR=1.089, 95%CI=1.006-1.180, P=0.036), developmental delay (OR=3.415, 95%CI=1.504-7.754, P=0.003), and and multifocal epileptiform discharges (OR=5.265, 95%CI=2.335-11.873, P<0.001) were identified as high-risk factors for DRE in children. ROC curve analysis revealed that the combined indicators achieved an area under the curve (AUC) of 0.920 (95%CI=0.887-0.953) for predicting childhood DRE, with an optimal cutoff value of 0.316, sensitivity of 0.904, and specificity of 0.801. Comparisons of developmental quotients across six functional domains among children in the control group, refractory group, and non-refractory group revealed statistically significant differences (P<0.05). Specifically, children in the non-refractory group demonstrated higher developmental quotients in motor skills, personal and social skills, language, and hand-eye coordination than those in the refractory group, but lower than those in the control group (P<0.05).

    Conclusion

    Poor response to initial antiepileptic drugs, prolonged seizure duration prior to treatment, developmental delay, and multifocal epileptiform discharges are high risk factors for childhood DRE. The constructed combined indicator prediction model holds clinical reference value; children with DRE exhibit significant developmental lag across multiple functional regions.

    A Scoping Review of Prediction Models for Renal Injury Risk in Children with Henoch-Schönlein Purpura
    ZHU Rongxin, GAO Tongxun, YUAN Zhenhua, WU Jingjing, TONG Min, NIU Yuhang, REN Xianqing
    2026, 29(33):  4928-4935.  DOI: 10.12114/j.issn.1007-9572.2025.0528
    Asbtract ( )   HTML ( )   PDF (2089KB) ( )  
    Figures and Tables | References | Related Articles | Metrics
    Background

    Henoch-Schönlein purpura (HSP) is a common systemic vasculitis in childhood, with a relatively high incidence of renal involvement. In recent years, an increasing number of studies have focused on risk prediction models for HSP-related renal injury; however, substantial heterogeneity exists in predictor selection and modeling approaches.

    Objective

    This study aims to systematically summarize the characteristics of existing predictive models for kidney injury risk in children with HSP, as well as their common predictors and methodological quality, thereby providing a basis for researchers to conduct related studies and for clinicians to identify high-risk children at an early stage.

    Methods

    A scoping review was conducted. PubMed, Embase, the Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang Data, VIP Database, and China Biology Medicine disc (CBM) were systematically searched from inception to June 1, 2025. Literature screening and data extraction were performed independently by two reviewers. Model-related information was extracted using the CHARMS checklist, and the risk of bias and applicability were assessed using the Prediction Model Risk of Bias Assessment Tool (PROBAST).

    Results

    A total of 13 studies were included, comprising 6 Chinese-language and 7 English-language studies, with sample sizes ranging from 165 to 1 294 participants. The incidence of renal injury in children with HSP ranged from 26.67% to 63.75%, and the area under the receiver operating characteristic curve (AUC) ranged from 0.550 to 0.956. The most frequently reported predictors were age, recurrent purpura, persistent purpura, D-dimer, and serum albumin. PROBAST assessment indicated a high risk of bias across the included studies, mainly attributable to retrospective study designs, inadequate handling of missing data, and the lack of external validation.

    Conclusion

    Existing prediction models for renal injury in children with HSP are at high risk of bias, which compromises their reliability and clinical implementation. Future studies should prioritize prospective study designs, standardized reporting, optimization of predictor selection, and multicenter external validation to develop more robust and generalizable risk prediction tools.

    A Qualitative Study on Identifying Priority Areas of Physical and Mental Comorbidity in Children and Adolescents in Zhejiang Province
    ZHOU Jiali, JIANG Denan, SHEN Guangdian, LIU Xinyu, ZHU Xuan, ZHA Jindian, ZHANG Ronghua, ZHU Bing, SONG Peige
    2026, 29(33):  4936-4942.  DOI: 10.12114/j.issn.1007-9572.2026.0106
    Asbtract ( )   HTML ( )   PDF (1921KB) ( )  
    Figures and Tables | References | Related Articles | Metrics
    Background

    Children and adolescents undergo rapid physical and psychological development, a period during which chronic physical conditions and psychological or behavioral problems may interact and co-occur as physical and mental comorbidity. Current prevention and control strategies remain largely disease-specific, and local evidence to inform priority setting and integrated governance is limited.

    Objective

    To identify priority areas of physical and mental comorbidity in children and adolescents in Zhejiang Province by developing an integrated approach that combines expert opinion with artificial intelligence, and to inform policy development and future empirical research in child and adolescent health.

    Methods

    In May 2025, experts from health and education systems across 11 prefecture-level cities in Zhejiang Province were recruited by convenience sampling. Data were collected using expert questionnaires and large language models to construct a text corpus. Grounded theory was applied to this corpus, using open, axial, and selective coding to inductively derive priority areas of physical and mental comorbidity in children and adolescents.

    Results

    Based on inputs from 77 experts in the health, education, and related sectors in Zhejiang Province, together with outputs from three large language models, this study identified several priority areas in physical and mental comorbidity among children and adolescents in Zhejiang Province. Mental health problems and overall psychosomatic health emerged as central concerns. Multilevel determinants, including social support systems, school and family environments, and individual behavioral factors, also warrant attention. In prevention and management, policy support, early identification, and comprehensive intervention were identified as key priorities.

    Conclusion

    Prevention and control of physical and mental comorbidity among children and adolescents in Zhejiang Province should prioritize integrated physical-mental development and mental health promotion. Comprehensive prevention and control should be advanced at multiple levels, including policy support, school and family environments, social support, and individual behaviors, with strengthened efforts in early identification, coordinated intervention, continuous management, and outcome evaluation. This study represents the first systematic identification of priority areas on physical and mental comorbidity in children and adolescents in Zhejiang Province. The findings provide guidance for research funding allocation, policy development, and the translation of evidence into coordinated multisectoral practice within the province.

    Research Progress on the Application of Virtual Reality Technology in the Management of Childhood and Adolescent Obesity
    LI Zihan, LIU Lei, WANG Jiayu, ZHU Xinyu, TIAN Yu
    2026, 29(33):  4943-4950.  DOI: 10.12114/j.issn.1007-9572.2025.0584
    Asbtract ( )   HTML ( )   PDF (2178KB) ( )  
    Figures and Tables | References | Related Articles | Metrics

    Virtual reality technology, as a three-dimensional immersive virtual environment, can effectively improve body fat percentage, weight, metabolic indicators, dietary behaviour, immersive experience and perception among the rapidly increasing number of obese or overweight children and adolescents. This paper reviews the classification, mechanisms of action, and model characteristics of virtual reality technology applications in obese or overweight children and adolescents, exploring its efficacy in obesity management. It also identifies current challenges in applying VR for obesity management and proposes targeted solutions, aiming to provide reference and guidance for innovative intelligent applications in the management of obesity or overweight among children and adolescents in our country.

    Evidence-based Medicine
    Meta-analysis of the Prevalence and Associated Factors for the Triple Comorbidity of Hypertension, Diabetes, and Dyslipidemia Among Chinese Adults
    CHEN Lai, YU Yufeng, ZHOU Xin, RAN Minghui, SHU Siwei, ZHANG Tingxuan, ZHAO Jinsuo
    2026, 29(33):  4951-4959.  DOI: 10.12114/j.issn.1007-9572.2025.0542
    Asbtract ( )   HTML ( )   PDF (2318KB) ( )  
    Figures and Tables | References | Related Articles | Metrics
    Background

    Hypertension, diabetes mellitus, and dyslipidemia are prevalent chronic metabolic disorders and major risk factors for cardiovascular diseases. These conditions frequently coexist and demonstrate high population prevalence. A systematic evaluation of their epidemiological characteristics and associated factors is crucial for early disease prevention and control.

    Objective

    To systematically assess the prevalence and associated factors of comorbid hypertension, diabetes, and dyslipidemia among Chinese adults.

    Methods

    A systematic literature search was performed in databases including China National Knowledge Infrastructure (CNKI), Wanfang Data, VIP, CBM, PubMed, Embase, Web of Science and Cochrane Library, to retrieve relevant studies on the prevalence of the co-occurrence of hypertension, diabetes mellitus and dyslipidemia among Chinese adults. The search was restricted to publications from database establishment to August 2025. Meta-analysis was performed using Stata 18.0 software.

    Results

    A total of 18 cross-sectional studies involving 625 718 patients were ultimately included. The meta-analysis showed that the prevalence of comorbidity of hypertension, diabetes, and dyslipidemia among Chinese adults was 6.2% (95%CI=4.9%-7.4%). Specifically, overweight (OR=2.02, 95%CI=1.74-2.35), obesity (OR=3.71, 95%CI=2.85-4.81), central obesity (OR=2.47, 95%CI=1.98-3.07), male (OR=1.62, 95%CI=1.35-1.96), alcohol drinking (OR=1.45, 95%CI=1.25-1.68), family history of diabetes (OR=3.88, 95%CI=1.57-9.58), smoking (OR=1.54, 95%CI=1.26-1.88), marital status classified as non-married (divorced, separated, or widowed) (OR=1.88, 95%CI=1.55-2.27) were all influencing factors for comorbidity of hypertension, diabetes, and dyslipidemia (P<0.05).

    Conclusion

    The comorbidity prevalence of hypertension, diabetes, and dyslipidemia is relatively high among Chinese adults, and is influenced by factors such as overweight, obesity, central obesity, male, alcohol drinking, family history of diabetes, smoking, and marital status classified as non-married (divorced, separated, or widowed). Early identification and effective management of related controllable factors can better assist clinical healthcare providers in early recognition, potentially reducing their risk.

    Network Meta-analysis of the Effects of Different Non-invasive Neuromodulation Modalities on Disorders of Consciousness after Traumatic Brain Injury
    MAN Yidi, LI Sihui, WANG Qin, LI Jun
    2026, 29(33):  4960-4972.  DOI: 10.12114/j.issn.1007-9572.2025.0363
    Asbtract ( )   HTML ( )   PDF (3023KB) ( )  
    Figures and Tables | References | Related Articles | Metrics
    Background

    Post-traumatic brain injury consciousness disorders are associated with a poor prognosis and a high risk of secondary complications. There is a clinical absence of specific intervention methods. Non-invasive neuromodulation techniques have emerged as a research focus due to their high safety profile. However, existing evidence is lacking in systematic comparisons of different stimulation modalities and target sites, and the therapeutic efficacy of these modalities remains insufficiently demonstrated. There is an urgent need to identify optimal intervention strategies.

    Objective

    To evaluate and compare the awakening efficacy and safety of different non-invasive neuromodulation modalities in patients with disorders of consciousness after traumatic brain injury, providing evidence-based guidance for selecting the optimal intervention in clinical practice.

    Methods

    Randomized controlled trials on the effects of non-invasive neuromodulation on disorders of consciousness after traumatic brain injury were searched in PubMed, Embase, Web of Science, Cochrane Library, CNKI, CBM, and Wanfang Data from the inception of each database to July 2025. The control group received conventional treatment or sham stimulation, while the experimental group was given non-invasive neuromodulation in addition to the control group's treatment. The Cochrane Risk of Bias Tool will be used for quality assessment. Network meta-analysis will be performed using Stata 16.0, and the GRADE approach will be applied to evaluate the quality of evidence for outcome measures.

    Results

    A total of 49 randomized controlled trials were included, among which 12 were rated as low risk of bias and 37 as some concerns; no study was judged to be at high risk. The pooled sample comprised 3 140 participants and encompassed 12 distinct non-invasive neuromodulation modalities. Network meta-analysis showed that, compared with conventional treatment: for improvement in Coma Recovery Scale-Revised (CRS-R) scores, the most effective intervention was transcranial direct current stimulation-dorsolateralprefrontal cortex (SMD=3.01, 95%CI=2.21 to 3.80, P<0.05; SUCRA=90.3%) followed by high-frequency repetitive transcranial magnetic stimulation- dorsolateralprefrontal cortex (SMD=2.77, 95%CI=1.97 to 3.56, P<0.05; SUCRA=83.5%) > high-frequency repetitive transcranial magnetic stimulation-primary motor cortex (SMD=2.44, 95%CI=1.73 to 3.14, P<0.05; SUCRA=70.6%) > transcutaneous auricular vagus nerve stimulation (SMD=2.38, 95%CI=1.51 to 3.25, P<0.05; SUCRA=69.9%) > median nerve electrical stimulation (SMD=2.31, 95%CI=1.13 to 3.49, P<0.05; SUCRA=67.7%); For improvement in Glasgow Coma Scale, (GCS) scores, the most effective intervention was high-frequency repetitive transcranial magnetic stimulation-primary motor cortex (SMD=2.94, 95%CI=2.21 to 3.67, P<0.05; SUCRA=94.1%), followed by transcutaneous auricular vagus nerve stimulation (SMD=2.46, 95%CI=1.73 to 3.19, P<0.05; SUCRA=78.8%) > high-frequency repetitive transcranial magnetic stimulation-dorsolateralprefrontal cortex (SMD=2.27, 95%CI=1.58 to 2.96, P<0.05; SUCRA=69.9%) > median nerve electrical stimulation (SMD=2.12, 95%CI=1.68 to 2.55, P<0.05; SUCRA=62.7%) > transcranial direct current stimulation- dorsolateralprefrontal cortex (SMD=1.51, 95%CI=0.72 to 2.30, P<0.05; SUCRA=40.1%).

    Conclusion

    The existing moderate evidence indicates that various types of non-invasive neuromodulation can improve consciousness after brain injury. For enhancing CRS-R scores, transcranial direct current stimulation-dorsolateralprefrontal cortex is the most effective modality, whereas for improving GCS scores, high-frequency repetitive transcranial magnetic stimulation-primary motor cortex is optimal.

    Review & Perspectives
    Comorbidity of Heart Failure and Type 2 Diabetes in Older Adults: a Review
    LAN Bo, WANG Zhenwei, LI Xiang, ZHANG Jinying, TANG Junnan
    2026, 29(33):  4973-4980.  DOI: 10.12114/j.issn.1007-9572.2025.0428
    Asbtract ( )   HTML ( )   PDF (2229KB) ( )  
    References | Related Articles | Metrics

    Heart failure and type 2 diabetes often coexist in the older adults, with a bidirectional pathophysiological mechanism involving insulin resistance, chronic inflammation, neuroendocrine activation, and inter-organ communication, which is exacerbated by aging. This article provides an overview of the disease burden, pathophysiological mechanisms, clinical characteristics, treatment strategies, and future directions for heart failure and type 2 diabetes in the elderly.Their clinical manifestations are insidious and highly heterogeneous, and diagnosis requires precise assessment combining imaging and biomarkers. Treatment should follow the principle of "co-morbidity co-treatment", with sodium-dependent glucose transporters 2 inhibitors and angiotensin receptor-neprilysin inhibitor as the cornerstone of new heart failure drugs, and priority should be given to hypoglycemic drugs with both cardiovascular and renal benefits. Establishing a comprehensive management model with a multidisciplinary team is the key to improving prognosis. Future research should focus on conducting specialized studies on co-morbidities in the elderly and exploring new directions such as cell therapy, targeting aging, and digital health. This review focuses on the comorbidity of heart failure and type 2 diabetes in the elderly, systematically reviewing and summarizing the existing evidence to provide guidance for optimizing the clinical management of patients with this comorbidity.

    Application of Dietary Pattern Intervention in Autoimmune Thyroiditis: a Review and Individualized Treatment Strategies
    JIA Sifeng, ZHANG Zhuo, DUAN Yuyu, YAN Keqiu, ZUO Xinhe, LI Yang, ZHAO Yong
    2026, 29(33):  4981-4992.  DOI: 10.12114/j.issn.1007-9572.2025.0086
    Asbtract ( )   HTML ( )   PDF (2941KB) ( )  
    Figures and Tables | References | Related Articles | Metrics
    Background

    Autoimmune thyroiditis (AIT) is the leading cause of thyroid dysfunction, significantly affecting patients' quality of life. In recent years, dietary patterns as potential pathways to regulate immunity and metabolism have attracted considerable attention. However, there is a lack of systematic summaries regarding their clinical effectiveness and individualized application strategies.

    Objective

    This study employed a scoping review approach to systematically assess the impact of different dietary patterns on AIT and propose individualized treatment strategies, providing evidence-based guidance for clinical practice.

    Methods

    Databases including CNKI, PubMed, and Web of Science were searched for relevant literature for studies on the effects of different dietary patterns on AIT, from their inception to March 1, 2025. A total of 23 studies(including 12 randomized controlled trials) were included, covering dietary patterns such as gluten-free diet (GFD), Mediterranean diet (MD), and low-carbohydrate diet. Two researchers independently screened the literature and extracted data, and recommendations were made based on the quality of evidence and clinical applicability.

    Results

    The GFD and the MD were the two interventions with the highest evidence support for AIT patients with coeliac disease and metabolic abnormalities, respectively (Grade B recommendation). Low-carb diets, anti-inflammatory diets, and autoimmune protocol diets had shown potential benefits in specific populations, but the overall evidence grade was C or D. An individualized treatment strategy should consider the patient's immune status, metabolic characteristics, and dietary adherence, establishing a dynamic individualized management pathway.

    Conclusion

    Dietary intervention plays an important complementary role in the comprehensive treatment of AIT. Given the robust evidence, GFD and MD are recommended as the primary basic intervention strategies, which should be precisely applied according to the individual characteristics of patients in clinical practice. Other dietary patterns may have value in specific populations but lack high-quality evidence support. In practical applications, it is essential to comprehensively evaluate the patient's immune status and metabolic characteristics to develop individualized treatment strategies, thereby enhancing therapeutic efficacy and adherence.