Functional dyspepsia (FD), characterized by persistent or recurrent dyspeptic symptoms without identifiable organic, systemic or metabolic causes, is an increasingly recognized global health issue. The objective of this guideline is to equip clinicians and nursing professionals with evidence-based strategies for the management and treatment of adult patients with FD using traditional Chinese medicine (TCM). The Guideline Development Group consulted existing TCM consensus documents on FD and convened a panel of 35 clinicians to generate initial clinical queries. To address these queries, a systematic literature search was conducted across PubMed, EMBASE, the Cochrane Library, China National Knowledge Infrastructure (CNKI), VIP Database, China Biology Medicine (SinoMed) Database, Wanfang Database, Traditional Medicine Research Data Expanded (TMRDE), and the Traditional Chinese Medical Literature Analysis and Retrieval System (TCMLARS). The evidence from the literature was critically appraised using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach. The strength of the recommendations was ascertained through a consensus-building process involving TCM and allopathic medicine experts, methodologists, pharmacologists, nursing specialists, and health economists, leveraging their collective expertise and empirical knowledge. The guideline comprises a total of 43 evidence-informed recommendations that span a range of clinical aspects, including the pathogenesis according to TCM, diagnostic approaches, therapeutic interventions, efficacy assessments, and prognostic considerations. Please cite this article as: Zhang SS, Zhao LQ, Hou XH, Bian ZX, Zheng JH, Tian HH, Yang GH, Hong WS, He YY, Liu L, Shen H, Li YP, Xie S, Shu J, Zeng BF, Li JX, Liu Z, Xiao ZH, Xiao JD, Zheng PY, Huang SG, Chen SL, Fei GJ. International clinical practice guideline on the use of traditional Chinese medicine for functional dyspepsia (2025). J Integr Med. 2025; 23(5):502-518.
Dyspepsia/drug therapy* ; Humans ; Medicine, Chinese Traditional/methods* ; Practice Guidelines as Topic ; Drugs, Chinese Herbal/therapeutic use*

Objective:To explore the deubiquitination modification of the deubiquitinase BRCC3 in rats with neuropathic pain (NPP) treated with meridian tuina of Zhuang medicine and its analgesic molecular mechanism.Methods:Rats were divided into normal group, sham-operation group, model group, sham-tuina group, and meridian tuina of Zhuang medicine group using a random number table method, with 9 rats in each group. Except for the normal and sham operation groups, spinal nerve ligation models were prepared in all other groups. On the first day after surgery, intervention was carried out on the meridian tuina of Zhuang medicine and sham-tuina groups for 14 days, while the other three groups were not intervened; the paw withdrawal mechanical threshold (PWMT) and paw withdrawal thermal latency (PWTL) of each group of rats were measured at 0 days before operation, 1, 7, and 14 days after operation. Western blot was used to detect the expressions of BRCC3 and NLRP3 proteins in spinal cord tissue, and ELISA was used to detect the level of IL-1β in serum.Results:On postoperative 7 and 14 d, compared with the model group, the meridian tuina of Zhuang medicine group showed an increase in PWMT and PWTL, a decrease in NLPR3 and BRCC3 expression in spinal cord tissue, and a decrease in serum IL-1β levels ( P<0.05). Compared with the sham-tuina group, the meridian tuina of Zhuang medicine group showed an increase in PWMT and PWTL, a decrease in NLRP3 protein expression in spinal cord tissue, and a decrease in IL-1β levels in serum ( P<0.05). Conclusion:Meridian tuina of Zhuang medicine can alleviate pain sensitivity in SNL model rats, and its mechanism is related to the inhibition of the expression of deubiquitinase BRCC3 by meridian massage of Zhuang medicine, which increases the ubiquitination level of NLRP3 and hinders its activation, thereby blocking the immune inflammatory response mediated by inflammatory factors.

For middle-aged and elderly patients with conditions such as spinal fractures and degenerative spinal diseases, spinal internal fixation is a core surgical procedure for reconstructing spinal stability, heavily relying on the biomechanical stability provided by pedicle screw systems. Whereas, these patients are often complicated by osteoporosis that can significantly compromise the stability of the bone-pedicle screw interface, leading to a marked increase in pedicle screw loosening and surgical failure rates. The bone cement-augmented pedicle screw technique, which involves injecting bone cement into the vertebral body or screw trajectory to optimize the mechanical properties of the bone-pedicle screw composite, has been proven to significantly enhance fixation strength and effectively prevent screw-related failures, thereby reducing the incidence of internal fixation failure in high-risk populations undergoing spinal fusion. However, the widespread clinical application of this technique has faced challenges such as inaccurate clinical decision-making (indication and contraindication selection), non-standardized operative practices, and insufficient awareness of complication prevention, resulting in considerable variability in clinical outcomes and even severe complications. To address this, Prof. Luo Fei from First Affiliated Hospital of Army Medical University initiated the project and the Chinese Association Orthopaedic Surgeons organized relevant experts to develop the Evidence-based clinical practice guideline for bone cement-augmented pedicle screw technique ( version 2025), based on current evidence. The guidelines put forward 8 recommendations regarding the clinical value, scope of application, and operational standards of the technique, aiming to provide evidence-based medical support and technical standardization for clinical decision-making.

Objective To predict the lymphovascular invasion(LVI)status of breast cancer patients based on digital breast tomo-synthesis(DBT)intratumoral and peritumoral radiomics nomogram.Methods A total of 192 breast cancer patients from 2 institu-tions were retrospectively selected,in which institution 1 was used for train(n=113)and test(n=49),while institution 2 was used for external validation(n=30).Radiomics features were extracted and selected based on intratumoral and peritumoral 1 mm regions from DBT images.Different machine learning algorithms were used to construct intratumoral,peritumoral,and combined intratumoral and peritumoral models,respectively.Patient clinical data were analyzed by both univariate and multivariate logistic regression analy-ses to identify independent risk factors for the clinical imaging model.The performance of the models was evaluated using the receiver operating characteristic(ROC)curve.The radiomics features with the optimal diagnostic performance and the selected clinical imaging features were combined to construct a comprehensive clinical-radiomics model,and a nomogram was drawn.Results The combined intratumoral and peritumoral model was the optimal radiomics model.Maximum tumor diameter[odds ratio(OR)=1.486,P=0.014],suspicious malignant calcifications(OR=2.898,P=0.015),and axillary lymph node(ALN)metastasis(OR=3.615,P<0.001)were independent risk factors for LVI positive.Furthermore,the area under the curve(AUC)of the comprehensive clinical-radiomics model in the training set,test set and external valida-tion set was 0.889,0.916,and 0.862,respectively,which was higher than those of the combined intratumoral and peritumoral model(0.858,0.849,0.844)and the clinical imaging model(0.743,0.759,0.732).Conclusion The predictive nomogram,derived from both radiomics and clinical imaging features,is relatively accurate in identifying future LVI occurrence in breast cancer,demonstra-ting its potential as an assistive tool for clinicians to devise individualized treatment regimes.

Objective To explore the influencing factors of neonatal pneumonia complicated with myocardial damage and Th1/Th2 cytokines,and construct a line chart model.Methods A total of 390 neonates with pneumonia who were treated in Mianyang People's Hospital were selected as the study subjects and randomly divided into a modeling cohort(n=273)and a validation cohort(n=117)according to a 7∶3 ratio.They were further divided into myocardial damage group and non-myocardial damage group according to whether they had concurrent myocardial damage.Enzyme linked immunosorbent assay(ELISA)was used to measure Th1/Th2 cytokines(IFN-γ,IL-6,TNF-α,IL-4,IL-2 and IL-10),and the Mindray BS-280 automatic biochemical analyzer was used to measure hs-cTn I,CK-MB,LDH and CK.Logistic regression equation was used to screen the influencing factors of neonatal pneumonia complicated with myocardial damage.R software was used to construct a line chart model,and the receiver operating characteristic curve(ROC)and area under the ROC curve(AUC)were used to analyze the predictive ability of the model.The Hosmer-Lemeshow goodness-of-fit test was used,and a calibration curve was drawn to evaluate the calibration of the model.The decision curve analysis(DCA)was used to evaluate the clinical effectiveness.Results The incidence of myocardial damage in 390 neonates with pneumonia was 28.21%.Modeling cohort and validetion cohort,the 1min Apgar score in the myocardial damage group was lower than that in the non-myocardial damage group(t=3.314,2.619),and CK-MB,LDH,CK,hs-cTnI,IL-2,IFN-γ,TNF-α,IL-6,IL-10 and IL-4 were higher than those in the non-myocardial damage group(t=5.805～18.914),and the proportions of severe pneumonia,low birthweight infant,premature infants were higher than those in the non-myocardial damage group(χ2=4.464～41.497),and the differences were statistically significant(all P<0.05),respectively.The Logistic regression equation showed that low birth weight,1-minute Apgar score,premature birth,hs-cTnI,IL-2,IFN-γ,IL-6 and IL-4 were factors affecting neonatal pneumonia complicated with myocardial damage(Wald χ2=10.330～14.328,all P<0.05).The AUC(95%CI)of the nomogram model constructed based on the factors affecting neonatal pneumonia complicated with myocardial damage was 0.880(0.839～0.921)in the modeling cohort and 0.910(0.856～0.964)in the validation cohort,with slopes of the calibration curves close to 1,and the clinical net benefit rate was the highest in the ranges of 0.1～0.8 and 0.0～0.7.Conclusion The nomogram model,which includes Th1/Th2 cytokines,hs-cTnI,1-minute Apgar score,premature infants and low-birth-weight infants has high predictive value for neonatal pneumonia complicated with myocardial damage.It can help clinicians identify high-risk populations,take reasonable diagnostic and treatment measures,and reduce the risk of myocardial damage.

Objective To predict the lymphovascular invasion(LVI)status of breast cancer patients based on digital breast tomo-synthesis(DBT)intratumoral and peritumoral radiomics nomogram.Methods A total of 192 breast cancer patients from 2 institu-tions were retrospectively selected,in which institution 1 was used for train(n=113)and test(n=49),while institution 2 was used for external validation(n=30).Radiomics features were extracted and selected based on intratumoral and peritumoral 1 mm regions from DBT images.Different machine learning algorithms were used to construct intratumoral,peritumoral,and combined intratumoral and peritumoral models,respectively.Patient clinical data were analyzed by both univariate and multivariate logistic regression analy-ses to identify independent risk factors for the clinical imaging model.The performance of the models was evaluated using the receiver operating characteristic(ROC)curve.The radiomics features with the optimal diagnostic performance and the selected clinical imaging features were combined to construct a comprehensive clinical-radiomics model,and a nomogram was drawn.Results The combined intratumoral and peritumoral model was the optimal radiomics model.Maximum tumor diameter[odds ratio(OR)=1.486,P=0.014],suspicious malignant calcifications(OR=2.898,P=0.015),and axillary lymph node(ALN)metastasis(OR=3.615,P<0.001)were independent risk factors for LVI positive.Furthermore,the area under the curve(AUC)of the comprehensive clinical-radiomics model in the training set,test set and external valida-tion set was 0.889,0.916,and 0.862,respectively,which was higher than those of the combined intratumoral and peritumoral model(0.858,0.849,0.844)and the clinical imaging model(0.743,0.759,0.732).Conclusion The predictive nomogram,derived from both radiomics and clinical imaging features,is relatively accurate in identifying future LVI occurrence in breast cancer,demonstra-ting its potential as an assistive tool for clinicians to devise individualized treatment regimes.

Objective To explore the influencing factors of neonatal pneumonia complicated with myocardial damage and Th1/Th2 cytokines,and construct a line chart model.Methods A total of 390 neonates with pneumonia who were treated in Mianyang People's Hospital were selected as the study subjects and randomly divided into a modeling cohort(n=273)and a validation cohort(n=117)according to a 7∶3 ratio.They were further divided into myocardial damage group and non-myocardial damage group according to whether they had concurrent myocardial damage.Enzyme linked immunosorbent assay(ELISA)was used to measure Th1/Th2 cytokines(IFN-γ,IL-6,TNF-α,IL-4,IL-2 and IL-10),and the Mindray BS-280 automatic biochemical analyzer was used to measure hs-cTn I,CK-MB,LDH and CK.Logistic regression equation was used to screen the influencing factors of neonatal pneumonia complicated with myocardial damage.R software was used to construct a line chart model,and the receiver operating characteristic curve(ROC)and area under the ROC curve(AUC)were used to analyze the predictive ability of the model.The Hosmer-Lemeshow goodness-of-fit test was used,and a calibration curve was drawn to evaluate the calibration of the model.The decision curve analysis(DCA)was used to evaluate the clinical effectiveness.Results The incidence of myocardial damage in 390 neonates with pneumonia was 28.21%.Modeling cohort and validetion cohort,the 1min Apgar score in the myocardial damage group was lower than that in the non-myocardial damage group(t=3.314,2.619),and CK-MB,LDH,CK,hs-cTnI,IL-2,IFN-γ,TNF-α,IL-6,IL-10 and IL-4 were higher than those in the non-myocardial damage group(t=5.805～18.914),and the proportions of severe pneumonia,low birthweight infant,premature infants were higher than those in the non-myocardial damage group(χ2=4.464～41.497),and the differences were statistically significant(all P<0.05),respectively.The Logistic regression equation showed that low birth weight,1-minute Apgar score,premature birth,hs-cTnI,IL-2,IFN-γ,IL-6 and IL-4 were factors affecting neonatal pneumonia complicated with myocardial damage(Wald χ2=10.330～14.328,all P<0.05).The AUC(95%CI)of the nomogram model constructed based on the factors affecting neonatal pneumonia complicated with myocardial damage was 0.880(0.839～0.921)in the modeling cohort and 0.910(0.856～0.964)in the validation cohort,with slopes of the calibration curves close to 1,and the clinical net benefit rate was the highest in the ranges of 0.1～0.8 and 0.0～0.7.Conclusion The nomogram model,which includes Th1/Th2 cytokines,hs-cTnI,1-minute Apgar score,premature infants and low-birth-weight infants has high predictive value for neonatal pneumonia complicated with myocardial damage.It can help clinicians identify high-risk populations,take reasonable diagnostic and treatment measures,and reduce the risk of myocardial damage.

For middle-aged and elderly patients with conditions such as spinal fractures and degenerative spinal diseases, spinal internal fixation is a core surgical procedure for reconstructing spinal stability, heavily relying on the biomechanical stability provided by pedicle screw systems. Whereas, these patients are often complicated by osteoporosis that can significantly compromise the stability of the bone-pedicle screw interface, leading to a marked increase in pedicle screw loosening and surgical failure rates. The bone cement-augmented pedicle screw technique, which involves injecting bone cement into the vertebral body or screw trajectory to optimize the mechanical properties of the bone-pedicle screw composite, has been proven to significantly enhance fixation strength and effectively prevent screw-related failures, thereby reducing the incidence of internal fixation failure in high-risk populations undergoing spinal fusion. However, the widespread clinical application of this technique has faced challenges such as inaccurate clinical decision-making (indication and contraindication selection), non-standardized operative practices, and insufficient awareness of complication prevention, resulting in considerable variability in clinical outcomes and even severe complications. To address this, Prof. Luo Fei from First Affiliated Hospital of Army Medical University initiated the project and the Chinese Association Orthopaedic Surgeons organized relevant experts to develop the Evidence-based clinical practice guideline for bone cement-augmented pedicle screw technique ( version 2025), based on current evidence. The guidelines put forward 8 recommendations regarding the clinical value, scope of application, and operational standards of the technique, aiming to provide evidence-based medical support and technical standardization for clinical decision-making.

Objective Viral encephalitis is an infectious disease severely affecting human health.It is caused by a wide variety of viral pathogens,including herpes viruses,flaviviruses,enteroviruses,and other viruses.The laboratory diagnosis of viral encephalitis is a worldwide challenge.Recently,high-throughput sequencing technology has provided new tools for diagnosing central nervous system infections.Thus,In this study,we established a multipathogen detection platform for viral encephalitis based on amplicon sequencing. Methods We designed nine pairs of specific polymerase chain reaction(PCR)primers for the 12 viruses by reviewing the relevant literature.The detection ability of the primers was verified by software simulation and the detection of known positive samples.Amplicon sequencing was used to validate the samples,and consistency was compared with Sanger sequencing. Results The results showed that the target sequences of various pathogens were obtained at a coverage depth level greater than 20×,and the sequence lengths were consistent with the sizes of the predicted amplicons.The sequences were verified using the National Center for Biotechnology Information BLAST,and all results were consistent with the results of Sanger sequencing. Conclusion Amplicon-based high-throughput sequencing technology is feasible as a supplementary method for the pathogenic detection of viral encephalitis.It is also a useful tool for the high-volume screening of clinical samples.