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 provide reference for future basic research and clinical research,the research status and trend of podophyllotoxin were explored.Methods Based on Citespace and R software,the co-occurrence map,keyword clustering and burst analysis of the English literature on podophyllotoxin in the Scientific Core Collection(WoSCC)were carried out to explore the research hotspots and analyze the frontier progress.Results A total of 1220 papers on podophyllotoxin published by 531 institutions from 77 countries and regions were retrieved.The number of published papers showed an overall upward trend.The analysis of the author 's cooperation network map showed that there was cooperation and communication between the authors,but it was relatively scattered,and the cooperation was not close.This phenomenon also existed in the relationship between research institutions.The country with the largest number of papers was China,and the institution was Lanzhou University.869 authors participated in the research in this field,and 422 academic journals published papers on podophyllotoxin.Among them,podophyllotoxin,derivatives,analogues,biological evaluation and etoposide had a high frequency of occurrence,indicating that these fields had high attention and great research potential.Conclusion In recent years,the research on podophyllotoxin and its derivatives in the treatment of tumors has developed rapidly.In addition,the pharmacological effects and gene regulation of podophyllotoxin are also new research trends.The research hotspots show a trend of diversification,which provides strong evidence for further exploring the molecular mechanism of podophyllotoxin in the treatment of various diseases.However,the lack of relatively in-depth basic research has limited the development of clinical research.

Integrin α _v β ₃ is overexpressed in various tumor cells and angiogenesis. To date, no drug has been proven to target it for therapy. A first-in-human study was designed to investigate the safety, pharmacokinetics, and dosimetry of ¹⁷⁷Lu-AB-3PRGD2, a novel integrin α _v β ₃-targeting radionuclide drug with an albumin-binding motif to optimize the pharmacokinetics. Ten patients (3 men, 7 women; aged 45 ± 16 years) with integrin α _v β ₃-avid tumors were recruited to accept ¹⁷⁷Lu-AB-3PRGD2 injection in a dosage of 1.57 ± 0.08 GBq (42.32 ± 2.11 mCi), followed by serial scans to obtain its dynamic distribution in the body. Safety tests were performed before and every 2 weeks after the treatment for 6-8 weeks. No adverse event over grade 3 was observed. ¹⁷⁷Lu-AB-3PRGD2 was excreted mainly through the urinary system, with intense radioactivity in the kidneys and bladder. Moderate distribution was found in the liver, spleen, and intestines. The estimated blood half-life was 2.85 ± 2.17 h. The whole-body effective dose was 0.251 ± 0.047 mSv/MBq. The absorbed doses were 0.157 ± 0.032 mGy/MBq in red bone marrow and 0.684 ± 0.132 mGy/MBq in kidneys. This first-in-human study of ¹⁷⁷Lu-AB-3PRGD2 treatment indicates its promising potential for targeted radionuclide therapy of integrin α _v β ₃-avid tumors. It merits further studies in more patients with escalating doses and multiple treatment courses.

Objective:To analyze the interference of an exogenous glucose test on urinary creatinine-related renal injury biomarkers in patients with chronic kidney disease (CKD).Methods:This cross-sectional study enrolled CKD patients who visited Peking University First Hospital between October 2023 and March 2024. The patients (age: 50±18 years) included 90 males and 70 females. Fresh morning urine samples were collected, totaling 160 samples. Each urine sample was divided into 5 aliquots,each containing 225 μl. One aliquot received 75 μl of deionized water as the control. The other aliquots received 75 μl of glucose solutions at concentrations of 120, 480, 960, and 1200 mmol/L, resulting in final glucose concentrations of 30, 120, 240, and 300 mmol/L in the urine samples, respectively. Urinary creatinine in each sample was measured using both the enzymatic method and the picric acid (Jaffe) method. The following ratios were calculated: urinary albumin-to-creatinine ratio (uACR), urinary protein-to-creatinine ratio (uPCR), urinary transferrin-to-creatinine ratio (uTRF/uCr), urinary α1-microglobulin-to-creatinine ratio (uA1M/uCr), urinary immunoglobulin G-to-creatinine ratio (uIgG/uCr), and urinary N-acetyl-β-D-glucosaminidase-to-creatinine ratio (uNAG/uCr).Results:Under high glucose concentrations, significant differences ( P<0.05) were observed between the enzymatic method and the picric acid method in measuring urinary creatinine-related renal injury biomarkers. At glucose concentrations of 30, 120, 240, and 300 mmol/L, the mean percentage biases for creatinine measured by the enzymatic method were -0.19%, -0.27%, -0.20%, and -0.21%, respectively. The mean percentage biases for creatinine measured by the picric acid method were 0.78%, 1.26%, 1.35%, and 1.38%, respectively, showing an increasing deviation between the results before and after glucose addition as the glucose concentration rose. For uACR measurement, the mean absolute biases using the enzymatic method were -0.01, 1.27, 0.95, and 1.10 mg/g at the respective glucose concentrations. Using the picric acid method, the mean absolute biases for uACR were -11.69, -14.98, -16.91, and-18.51 mg/g. The biases of the picric acid method were significantly higher than the those of the enzymatic method, and the absolute value of the mean biases increased with rising glucose concentration. For uPCR, uTRF/uCr, uA1M/uCr, uNAG/uCr, and uIgG/uCr, the deviations measured by the enzymatic method were consistently smaller than those measured by the picric acid method. Conclusions:The measurement of creatinine and related renal injury biomarkers by the enzymatic method is less affected by glucose concentration. In contrast, the measurement results obtained using the picric acid method are significantly affected by glucose concentration.

Objective To provide reference for future basic research and clinical research,the research status and trend of podophyllotoxin were explored.Methods Based on Citespace and R software,the co-occurrence map,keyword clustering and burst analysis of the English literature on podophyllotoxin in the Scientific Core Collection(WoSCC)were carried out to explore the research hotspots and analyze the frontier progress.Results A total of 1220 papers on podophyllotoxin published by 531 institutions from 77 countries and regions were retrieved.The number of published papers showed an overall upward trend.The analysis of the author 's cooperation network map showed that there was cooperation and communication between the authors,but it was relatively scattered,and the cooperation was not close.This phenomenon also existed in the relationship between research institutions.The country with the largest number of papers was China,and the institution was Lanzhou University.869 authors participated in the research in this field,and 422 academic journals published papers on podophyllotoxin.Among them,podophyllotoxin,derivatives,analogues,biological evaluation and etoposide had a high frequency of occurrence,indicating that these fields had high attention and great research potential.Conclusion In recent years,the research on podophyllotoxin and its derivatives in the treatment of tumors has developed rapidly.In addition,the pharmacological effects and gene regulation of podophyllotoxin are also new research trends.The research hotspots show a trend of diversification,which provides strong evidence for further exploring the molecular mechanism of podophyllotoxin in the treatment of various diseases.However,the lack of relatively in-depth basic research has limited the development of clinical research.

[Purpose]To investigate the choice of medical institutions for the first-treatment of can-cer patients after diagnosis and the factors influencing it,so as to provide a reference basis for the rational allocation of health resources and the promotion of hierarchical diagnosis and treatment of cancer.[Methods]A total of 1 140 common cancer patients from 1 provincial,3 municipal and 6 county-level medical institutions in Shandong Province were included in the study,and a ques-tionnaire survey was conducted on their basic personal information and the selection of medical institutions.Chi-square test and Fisher exact test were used to compare different groups,and mul-ti-classification unordered Logistic regression were used to explore the factors influencing the se-lection of cancer patients.[Results]1 077 valid questionnaires were collected.The selection rates of first-treatment institutions for cancer patients were county hospitals(29.90％),city hospitals(35.28％),and provincial hospitals(34.82％),and the high level of medical care was the main reason for the selection of first-treatment institutions for cancer patients.The results of multi-clas-sification unordered Logistic regression showed that when choosing municipal and county medical institutions as the first treatment institution compared to choosing a county medical institution for the first treatment as a reference,compared to patients with stage Ⅰ tumors,patients with tumor stages at stage Ⅲ(OR=1.789,95％CI:1.014～3.158)and stage Ⅳ(OR=2.005,95％CI:1.179～3.409)were more likely to choose municipal medical institutions;and patients with annual house-hold income of 10 000～＜50 000 CNY(OR=0.625,95％CI:0.414～0.943)were less likely to choose mu-nicipal medical institutions compared to those with an annual household income of＜10 000 CNY.When choosing provincial and county medical institutions as the first treatment institution com-pared to patients in stage Ⅲ(OR=2.885,95％C1:1.549～5.372)and stage Ⅳ(OR=3.104,95％CI:1.724～5.586)compared to patients with stage Ⅰ tumors when choosing a county medical institu-tion for the first treatment was used as a reference;married(OR=2.248,95％CI:1.127～4.484)patients were more likely to choose provincial healthcare organizations than unmarried/divorced/widowed patients;patients with a family history of cancer compared to patients without a family history of cancer(OR=1.650,95％CI:1.115～2.441)were more inclined to choose provincial healthcare institutions;compared with patients＜45 years old,patients over 60 years old(OR=0.483,95％CI:0.242～0.962)were less inclined to choose provincial hospitals;and compared with patients who were not aware of knowledge related to cancer,those who were aware of knowledge related to cancer(OR=0.613,95％CI:0.441～0.852)patients were less inclined to choose provin-cial hospitals.[Conclusion]Vigorously carrying out publicity on cancer prevention and treatment knowledge,improving the cancer prevention and treatment literacy of cancer patients.strengthen-ing vertical cooperation among medical institutions at all levels,improving the provincial-munici-pal-county cancer prevention and treatment network,and promoting the sinking of high-quality medical resources are important ways to improve the cancer prevention and treatment capacity of counties and promote the work of hierarchical medical system.

[Purpose]To investigate the choice of medical institutions for the first-treatment of can-cer patients after diagnosis and the factors influencing it,so as to provide a reference basis for the rational allocation of health resources and the promotion of hierarchical diagnosis and treatment of cancer.[Methods]A total of 1 140 common cancer patients from 1 provincial,3 municipal and 6 county-level medical institutions in Shandong Province were included in the study,and a ques-tionnaire survey was conducted on their basic personal information and the selection of medical institutions.Chi-square test and Fisher exact test were used to compare different groups,and mul-ti-classification unordered Logistic regression were used to explore the factors influencing the se-lection of cancer patients.[Results]1 077 valid questionnaires were collected.The selection rates of first-treatment institutions for cancer patients were county hospitals(29.90％),city hospitals(35.28％),and provincial hospitals(34.82％),and the high level of medical care was the main reason for the selection of first-treatment institutions for cancer patients.The results of multi-clas-sification unordered Logistic regression showed that when choosing municipal and county medical institutions as the first treatment institution compared to choosing a county medical institution for the first treatment as a reference,compared to patients with stage Ⅰ tumors,patients with tumor stages at stage Ⅲ(OR=1.789,95％CI:1.014～3.158)and stage Ⅳ(OR=2.005,95％CI:1.179～3.409)were more likely to choose municipal medical institutions;and patients with annual house-hold income of 10 000～＜50 000 CNY(OR=0.625,95％CI:0.414～0.943)were less likely to choose mu-nicipal medical institutions compared to those with an annual household income of＜10 000 CNY.When choosing provincial and county medical institutions as the first treatment institution com-pared to patients in stage Ⅲ(OR=2.885,95％C1:1.549～5.372)and stage Ⅳ(OR=3.104,95％CI:1.724～5.586)compared to patients with stage Ⅰ tumors when choosing a county medical institu-tion for the first treatment was used as a reference;married(OR=2.248,95％CI:1.127～4.484)patients were more likely to choose provincial healthcare organizations than unmarried/divorced/widowed patients;patients with a family history of cancer compared to patients without a family history of cancer(OR=1.650,95％CI:1.115～2.441)were more inclined to choose provincial healthcare institutions;compared with patients＜45 years old,patients over 60 years old(OR=0.483,95％CI:0.242～0.962)were less inclined to choose provincial hospitals;and compared with patients who were not aware of knowledge related to cancer,those who were aware of knowledge related to cancer(OR=0.613,95％CI:0.441～0.852)patients were less inclined to choose provin-cial hospitals.[Conclusion]Vigorously carrying out publicity on cancer prevention and treatment knowledge,improving the cancer prevention and treatment literacy of cancer patients.strengthen-ing vertical cooperation among medical institutions at all levels,improving the provincial-munici-pal-county cancer prevention and treatment network,and promoting the sinking of high-quality medical resources are important ways to improve the cancer prevention and treatment capacity of counties and promote the work of hierarchical medical system.