OBJECTIVE:Postoperative recurrence is a common complication of percutaneous endoscopic lumbar discectomy for lumbar disc herniation,which can significantly increase the risk of reoperation.A well-performing risk prediction model can help identify high-risk groups early and prevent postoperative recurrence.This study systematically evaluated the risk prediction model for postoperative recurrence after percutaneous endoscopic lumbar discectomy to provide a reference for surgical decision-making.METHODS:The PubMed,Embase,Web of Science,CNKI,WanFang Data,VIP,and CBM were electronically searched to collect studies on the recurrence risk prediction models after percutaneous endoscopic lumbar discectomy from inception to July 1,2024.Two reviewers independently screened the literature and extracted data.The models' risk of bias,applicability,and report quality were assessed using prediction model risk of bias assessment tool(PROBAST)and Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis(TRIPOD)tools,respectively.Meta-analysis of postoperative recurrence rate of percutaneous endoscopic lumbar discectomy and related predictors was performed using Revman 5.4 software.RESULTS:(1)A total of 15 studies were included,all of which were retrospective studies,including 24 models for predicting the risk of recurrence after percutaneous endoscopic lumbar discectomy.(2)The PROBAST evaluation results indicated that all 15 studies exhibited a high risk of bias.Regarding applicability,two studies demonstrated a low risk,while 13 presented a high risk.(3)Regarding the TRIPOD reporting quality,the overall quality across the 15 studies was low.The primary reasons for this low compliance included the failure to report blinding,a lack of explanation for the sample size calculation method,lack of detailed description of missing data processing methods,and lack of information such as introduction to the model used.(4)Furthermore,the area under the receiver operating characteristic curve for the model ranged from 0.684 to 0.972,with the number of potential predictor variables varying from 15 to 28.(5)The results of meta-analysis showed that the postoperative recurrence rate of lumbar disc herniation patients treated with percutaneous endoscopic lumbar discectomy was 12％(95％CI=9.0％-15.0％),Modic changes(OR=6.72,95％CI=3.90-11.59),body mass index(OR=1.28,95％CI=1.10-1.49),work intensity(OR=3.22,95％CI=1.85-5.59),age(OR=2.28,95％CI=1.50-3.48),and smoking history(OR=2.65,95％CI=1.75-4.00)were independent influencing factors for postoperative recurrence of percutaneous endoscopic lumbar discectomy(all P＜0.05).CONCLUSION:The overall predictive performance of the recurrence risk prediction models after percutaneous endoscopic lumbar discectomy is satisfactory;however,the model exhibits a high overall risk of bias and applicability,coupled with low reporting quality.Additionally,there is a lack of prospective research and external validation.Future,risk prediction models should consider factors such as Modic changes,body mass index,work intensity,age,and smoking history as potential predictors.

OBJECTIVE:Postoperative recurrence is a common complication of percutaneous endoscopic lumbar discectomy for lumbar disc herniation,which can significantly increase the risk of reoperation.A well-performing risk prediction model can help identify high-risk groups early and prevent postoperative recurrence.This study systematically evaluated the risk prediction model for postoperative recurrence after percutaneous endoscopic lumbar discectomy to provide a reference for surgical decision-making.METHODS:The PubMed,Embase,Web of Science,CNKI,WanFang Data,VIP,and CBM were electronically searched to collect studies on the recurrence risk prediction models after percutaneous endoscopic lumbar discectomy from inception to July 1,2024.Two reviewers independently screened the literature and extracted data.The models' risk of bias,applicability,and report quality were assessed using prediction model risk of bias assessment tool(PROBAST)and Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis(TRIPOD)tools,respectively.Meta-analysis of postoperative recurrence rate of percutaneous endoscopic lumbar discectomy and related predictors was performed using Revman 5.4 software.RESULTS:(1)A total of 15 studies were included,all of which were retrospective studies,including 24 models for predicting the risk of recurrence after percutaneous endoscopic lumbar discectomy.(2)The PROBAST evaluation results indicated that all 15 studies exhibited a high risk of bias.Regarding applicability,two studies demonstrated a low risk,while 13 presented a high risk.(3)Regarding the TRIPOD reporting quality,the overall quality across the 15 studies was low.The primary reasons for this low compliance included the failure to report blinding,a lack of explanation for the sample size calculation method,lack of detailed description of missing data processing methods,and lack of information such as introduction to the model used.(4)Furthermore,the area under the receiver operating characteristic curve for the model ranged from 0.684 to 0.972,with the number of potential predictor variables varying from 15 to 28.(5)The results of meta-analysis showed that the postoperative recurrence rate of lumbar disc herniation patients treated with percutaneous endoscopic lumbar discectomy was 12％(95％CI=9.0％-15.0％),Modic changes(OR=6.72,95％CI=3.90-11.59),body mass index(OR=1.28,95％CI=1.10-1.49),work intensity(OR=3.22,95％CI=1.85-5.59),age(OR=2.28,95％CI=1.50-3.48),and smoking history(OR=2.65,95％CI=1.75-4.00)were independent influencing factors for postoperative recurrence of percutaneous endoscopic lumbar discectomy(all P＜0.05).CONCLUSION:The overall predictive performance of the recurrence risk prediction models after percutaneous endoscopic lumbar discectomy is satisfactory;however,the model exhibits a high overall risk of bias and applicability,coupled with low reporting quality.Additionally,there is a lack of prospective research and external validation.Future,risk prediction models should consider factors such as Modic changes,body mass index,work intensity,age,and smoking history as potential predictors.

ObjectiveTo construct a risk prediction model for carotid artery plaques in high-risk populations of stroke based on five machine learning methods. MethodsThe clinical information of the high-risk population of stroke was collected. Factor analysis and statistical analysis of syndrome elements were conducted on their traditional Chinese medicine （TCM） symptoms and tongue and pulse manifestations. On the basis of the results of factor analysis and variable screening， five machine learning methods-classification and regression tree （CART） decision tree， support vector machine （SVM）， back propagation（BP） neural network， logistic regression， and random forest-were used to construct the risk prediction model for carotid artery plaques. ResultsThe most common TCM syndrome elements in the high-risk population of stroke was Qi deficiency. The scores of Qi deficiency， Yin deficiency， and Yang deficiency in the population with carotid artery plaques were higher than those without carotid artery plaques （P<0.05）. The CART decision tree， SVM， logistic regression， BP neural network， and random forest models showed the areas under the receiver operating characteristic （ROC） curves of 0.71， 0.75， 0.76， 0.76， and 0.75， the accuracy rates of 68.94%， 69.27%， 69.44%， 70.10%， and 69.60%， the precision rates of 68.56%， 68.53%， 68.75%， 69.74%， and 69.42%， the recall rates of 68.91%， 67.93%， 67.92%， 68.10%， and 67.31%， and the F₁ values of 0.69， 0.68， 0.68， 0.68， and 0.68， respectively. ConclusionAmong the high-risk population of stroke， the most frequently distributed TCM syndrome element is Qi deficiency， with the rest mainly being fire heat， Yin deficiency， Yang deficiency， phlegm dampness， blood stasis， and Qi stagnation. Deficiency syndrome may be a major factor leading to carotid artery plaques in the high-risk population of stroke. The BP neural network model demonstrates better performance in predicting the risk of carotid artery plaques in the high-risk population of stroke. People with carotid artery plaques are more likely to present with symptoms such as a heavy head， dizziness， headache， and thready pulse. The primary community benefits more widely when the BP neural network model is adopted to predict the risk of carotid artery plaques in the high-risk population of stroke over 40 years old.

ObjectiveTo construct a risk prediction model for carotid artery plaques in high-risk populations of stroke based on five machine learning methods. MethodsThe clinical information of the high-risk population of stroke was collected. Factor analysis and statistical analysis of syndrome elements were conducted on their traditional Chinese medicine （TCM） symptoms and tongue and pulse manifestations. On the basis of the results of factor analysis and variable screening， five machine learning methods-classification and regression tree （CART） decision tree， support vector machine （SVM）， back propagation（BP） neural network， logistic regression， and random forest-were used to construct the risk prediction model for carotid artery plaques. ResultsThe most common TCM syndrome elements in the high-risk population of stroke was Qi deficiency. The scores of Qi deficiency， Yin deficiency， and Yang deficiency in the population with carotid artery plaques were higher than those without carotid artery plaques （P<0.05）. The CART decision tree， SVM， logistic regression， BP neural network， and random forest models showed the areas under the receiver operating characteristic （ROC） curves of 0.71， 0.75， 0.76， 0.76， and 0.75， the accuracy rates of 68.94%， 69.27%， 69.44%， 70.10%， and 69.60%， the precision rates of 68.56%， 68.53%， 68.75%， 69.74%， and 69.42%， the recall rates of 68.91%， 67.93%， 67.92%， 68.10%， and 67.31%， and the F₁ values of 0.69， 0.68， 0.68， 0.68， and 0.68， respectively. ConclusionAmong the high-risk population of stroke， the most frequently distributed TCM syndrome element is Qi deficiency， with the rest mainly being fire heat， Yin deficiency， Yang deficiency， phlegm dampness， blood stasis， and Qi stagnation. Deficiency syndrome may be a major factor leading to carotid artery plaques in the high-risk population of stroke. The BP neural network model demonstrates better performance in predicting the risk of carotid artery plaques in the high-risk population of stroke. People with carotid artery plaques are more likely to present with symptoms such as a heavy head， dizziness， headache， and thready pulse. The primary community benefits more widely when the BP neural network model is adopted to predict the risk of carotid artery plaques in the high-risk population of stroke over 40 years old.

Objective To explore the adjuvant treatment options for elderly patients or those with low cardiopulmonary function who cannot tolerate lobectomy for peripheral solid pathological stage ⅠA (pⅠA) non-small cell lung cancer (NSCLC). Methods A retrospective analysis was conducted on the clinical data of patients with peripheral solid pⅠA stage NSCLC treated with lobectomy and compromised sublobar resection (CSR) in the Affiliated Hospital of Nantong University, from 2018 to 2019. The incidence of postoperative complications and independent predictors of postoperative recurrence were analyzed. Patients in the CSR group were divided into a targeted therapy group, a chemotherapy group, and an observation group based on postoperative treatment measures. The 3-year recurrence-free survival (RFS) rate and 5-year overall survival (OS) rate of the three subgroups before and after propensity score matching (PSM) were compared. Results A total of 586 patients were included, including 288 (49.15%) males and 298 (50.85%) females, with a median age of 64.00 years. There were 335 patients of lobectomy and 251 patients of CSR. There was no statistically significant difference in the incidence of postoperative complications between the lobectomy group and CSR group [RR=0.987, 95%CI (0.898, 1.085), P=0.789]. Multivariate analysis showed that gender, tumor location, and size were independent risk factors for recurrence after CSR. After PSM, 17 patients were enrolled in each of the three subgroups of CSR. Kaplan-Meier survival curve analysis showed that there was no statistically significant difference in the 3-year RFS rate (P=0.115) and 5-year OS rate (P=0.101) between the targeted therapy group and chemotherapy group after PSM. The 3-year RFS rate and 5-year OS of the targeted group were significantly better than those of the observation group (P=0.041, P=0.009). Compared with lobectomy, there was no statistically significant difference in the 3-year RFS rate (P=0.069) and 5-year OS rate (P=0.540) in the targeted therapy group, while the chemotherapy group and observation group were significantly inferior to the lobectomy group (P<0.05). Conclusion CSR for treating stage pⅠA peripheral solid NSCLC in patients with advanced age or poor cardiopulmonary function does not increase the incidence of postoperative complications. Gender, tumor location, and size are independent risk factors for postoperative recurrence. In terms of 3-year RFS rate and 5-year OS rate, adjuvant targeted therapy after CSR is not only superior to observation but also not inferior to lobectomy.

BACKGROUND:A large number of studies have confirmed that the therapeutic effectiveness of mesenchymal stem cell secretome is comparable to that of mesenchymal stem cells,but the mechanism of its action is still unclear. OBJECTIVE:To summarize the research progress of mesenchymal stem cell secretome in recent years,to investigate the molecular mechanism of its therapeutic effect,to analyze the current problems and to look forward to the future development. METHODS:The terms"exosomes,mesenchymal stem cells secrete,extracellular vesicles,mesenchymal stem cells,mechanism"were used as English search terms in the PubMed database.Articles that were not related to the research purpose of the article and duplicated articles were excluded.At the same time,we combined the method of literature tracking.Finally,109 articles that met the criteria were incuded for the review. RESULTS AND CONCLUSION:(1)The mesenchymal stem cell secretome promotes tissue repair and regeneration through delivering genetic material,immunomodulatory factors,growth factors,etc.to target cells,by activating anti-apoptotic,regulating angiogenesis,modulating fibrosis and pro-survival pathways in target cells.(2)The potential of mesenchymal stem cell secretome in disease therapy has also been confirmed.Numerous research results have shown that mesenchymal stem cell secretome can be used as a new cell-free treatment for inflammatory and degenerative diseases.(3)Mesenchymal stem cell secretome has been engineered to have more efficient therapeutic effects in recent years.However,due to the heterogeneity of the mesenchymal stem cell secretome and the complexity of its components,the exact mechanism of its therapeutic effect is still unclear.(4)At present,further research is needed to identify the key targets of mesenchymal stem cell secretome,and innovative specific and enhanced mesenchymal stem cell secretome should be developed by combining with engineering and genetic engineering technologies in the future.

Objective To investigate the underlying mechanisms of the effect of Fufang Changtai Decoction(FFCT)in inhibiting colorectal cancer(CRC)through the ferroptosis pathway using network pharmacology combined with experimental validation.Methods The Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)and Swiss Target Prediction databases were employed for the systematic screening of potent active ingredients and therapeutic targets of FFCT.In addition,the identification of CRC-associated genes and ferroptosis-related genes(FRGs)was accomplished using the Gene Cards and FerrDb databases,respectively.Venn diagrams,coupled with Cytoscape software,facilitated the comprehensive analysis of key FRGs involved in FFCT's intervention in CRC by mapping the TCM compound-therapeutic target network.Transmission electron microscopy was used to examine the mitochondrial ultrastructure of SW480 and HCT116,2 Human CRC cell lines,after treatment with FFCT-containing serum.Intracellular reactive oxygen species(ROS)levels were measured using a ROS detection kit.To assess the role of ferroptosis,ferroptosis inhibitor liproxstatin-1(Lip-1)was co-administered with FFCT-containing serum.The effects on cancer cell viability and proliferation were evaluated using CCK-8 and colony formation assays.Key molecular targets involved in the regulatory effects of FFCT on the expression of FRGs were further analyzed using PCR Array and Western blot.The findings were then validated with human CRC tissue microarrays.Results A total of 103 active ingredients of FFCT,739 therapeutic targets,9 101 disease-related genes,and 564 FRGs were identified.Venn diagram analysis identified 81 FRGs associated with FFCT intervention.Network analysis revealed that NQO1,TP53,and PTGS2 served as hub nodes in the regulatory network.Findings from the in vitro experiments showed that FFCT induced ferroptosis changes,including mitochondrial condensation,membrane thickening,and cristae reduction,in SW480 and HCT116 cells.FFCT treatment significantly increased intracellular ROS levels in a dose-dependent manner(P<0.05)and reduced cancer cell viability and proliferative capacity(P<0.01).These inhibitory effects were partially reversed by Lip-1,suggesting that FFCT's antitumor activity was closely associated with the ferroptosis pathway.PCR Array and Western blot analyses further confirmed that FFCT significantly downregulated NQO1 mRNA and protein expression in cancer cells(P<0.001),which was consistent with network pharmacology predictions.Immunofluorescence analysis of clinical CRC tissue microarrays revealed that NQO1 expression was significantly higher in tumor tissues than in adjacent non-tumor tissues(P<0.001).Conclusion FFCT may induce intracellular ferroptosis by downregulating the oncogenic gene NQO1,thereby exerting anti-CRC effects.

Objective To explore the economic toxicity perceptions and experiences of caregivers of colorectal cancer patients from the perspective of social ecological systems theory.Methods Using purposive sampling,18 caregivers of colorectal cancer patients hospitalized in the gastrointestinal sur-gery and oncology departments of a tertiary grade A hospital in Yangzhou were selected for semi-struc-tured interviews.The Colaizzi 7-step analysis method was employed to organize and analyze the data.Results Three main themes and nine sub-themes were extracted regarding the economic toxicity expe-riences and needs of caregivers of colorectal cancer patients.Microsystem included multiple negative experiences,impacted individual health,and difficulties in surrogate decision-making;mesosystem in-cluded heavy family financial burden,altered family lifestyle,and tense family atmosphere;macrosys-tem included needs for the scope and intensity of medical insurance reimbursement,needs for medical resources and services,and a desire for social support.Conclusion The ecological system of caregiv-ers of colorectal cancer patients is not optimistic,and is generally affected by economic toxicity.Inter-vention strategies can be sought from multiple aspects,including alleviating the negative experiences of caregivers,strengthening social support,and paying attention to the needs of caregivers,aiming to re-duce the level of economic toxicity among caregivers of colorectal cancer patients.

Objective To analyze the correlation between inflammatory factors and bone mineral density(BMD)as well as β-C-terminal telopeptide of type I collagen(β-CTX)in postmenopausal patients with type 2 diabetes mellitus(T2DM),and to evaluate the diagnostic efficacy of the inflammatory factors in postmenopausal T2DM patients with osteoporosis(OP).Methods A total of 538 postmenopausal women with T2DM,hospitalized in the Department of Endocrinology at the Third People's Hospital of Yunnan Province from October 1,2023 to August 31,2024,were screened,and 181 were ultimately included in the study.Based on bone mineral density,they were divided into the osteopenia group(86 patients,-2.51,B>0),while BMI was an independent protective factor for the occurrence of OP(OR<1,B<0);(4)ROC curve analysis showed that CRP,IL-6,NLR,MLR,and SII all demonstrated diagnostic efficacy for postmenopausal T2DM patients with osteoporosis,among which the combined detection model of CRP,IL-6,and SII exhibited the highest diagnostic efficacy.Conclusion Inflammatory markers are correlated with bone mineral density and β-CTX levels,and may have predictive value for diagnosing osteoporosis in postmenopausal T2DM patients.

Objective:To investigate the clinical value of 18F-NaF PET/CT coronary plague imaging in evaluating the long-term prognosis of patients with coronary artery disease (CAD). Methods:A retrospective cohort study was conducted among 54 patients (37 males and 17 females, aged (57.2±9.8) years) diagnosed with CAD from a multicenter study between September 2015 and October 2022. All patients underwent 18F-NaF PET/CT and coronary angiography (CAG) within 1 week, and the PET/CT imaging was performed at the First Hospital of Shanxi Medical University. Major adverse cardiovascular events (MACE) were followed up. ROC curves were established to obtain the optimal thresholds of SUV max and accumulated SUV max of all lesions of main coronary artery branches (S-SUV max) for predicting MACE. Cox proportional risk model and Kaplan-Meier method (log-rank test) were used to analyze the predictive value of PET parameters for MACE. Differences in metabolic parameters between 2 groups were compared by Mann-Whitney U test. Results:The median follow-up time of the 54 patients was 6.0(1.8, 6.6) years, and 13(24.1%) patients developed MACE, including 7 deaths, 5 myocardial infarction and 1 severe arrhythmia. S-SUV max in MACE group was significantly higher than that in the non-MACE group (2.64(2.08, 4.49) vs 1.83(0.95, 2.90); Z=-2.04, P=0.041). ROC curve showed that the optimal threshold of S-SUV max for MACE prediction was 2.05 (AUC=0.690). Multivariate Cox analysis showed that S-SUV max was a strong predictor of MACE (hazard ratio ( HR)=2.434(95% CI: 1.547-3.828), P<0.001). ROC curve showed that the optimal threshold of SUV max to predict MACE was 0.55 (AUC=0.659), and univariate Cox analysis showed that SUV max was a factor to predict MACE ( HR=10.192 (95% CI: 2.667-38.953), P=0.001). In 25 patients with incomplete revascularization (ICR), Kaplan-Meier analysis showed that the incidence of MACE in patients with positive 18F-NaF uptake (single medium stenosis (40%-70%) with SUV max≥0.55) was significantly higher than that in patients with negative 18F-NaF uptake (5/14 vs 0/11; χ2=6.07, P=0.014). Conclusions:18F-NaF PET/CT can be used as an independent predictor of MACE in patients with CAD and can quantitatively assess the long-term progression of moderate coronary artery stenosis. In the future, it is expected to be a new non-invasive way to guide the revascularization treatment decision of multi-vessel CAD.