Objective To systematically evaluate the performance and methodological quality of the risk prediction models for urinary incontinence after radical prostatectomy,so as to provide a reference for selecting the appropriate risk prediction tool.Methods A systematic search was conducted in PubMed,Web of Science,Cochrane Library,CINAHL,EMBASE,CNKI,Wanfang,VIP,and Chinese biomedical literature database from inception to Jan.23,2024.Two researchers independently conducted literature screening and data extraction,and the prediction model risk of bias assessment tool(PROBAST)was applied to assess the risk of bias and applicability of the included studies.MedCalc software was used to perform a meta-analysis of the area under curve(AUC)of the validation groups using the random effect model,and the publication bias and sensitivity analysis were also performed.Results A total of 8 studies were included,with a combined sample size of 7 216 cases.Six models reported the AUC values,and 7 models reported calibration.The applicability of 2 studies was acceptable,while 6 were poor.The most commonly used type of prediction model was logistic regression.After excluding models with extreme AUC values,the random-effects meta-analysis result was 0.840(95%confidence interval 0.786 to 0.895),with no heterogeneity(I2=0%,P=0.737).The bias risk was high in all 8 studies,mainly due to retrospective cohort data,transformation of continuous variables into binary variables,unaddressed missing data,selection of predictors based on univariate analysis,incomplete report of the model discrimination and calibration,and lack of external validation.Egger test result indicated no significant publication bias.Conclusion The development and validation process of the existing risk prediction models for urinary incontinence after radical prostatectomy is still imperfect.Future research should construct prediction models based on multicenter and large-sample data,strengthen the clinical applicability assessment of the models,and strictly follow the reporting standards and procedures,so as to establish high-quality risk prediction models for clinical practice.

ObjectiveTo study the mechanism of compound Xishu granules （CXG） in inhibiting the proliferation of hepatocellular carcinoma cells by regulating ferroptosis. MethodsThe transplanted tumor model of human Huh7 was established with nude mice and the successfully modeled mice were randomized into model， Fufang Banmao （0.21 g·kg^-1）， low-dose （1.87 g·kg^-1） CXG， medium-dose （3.74 g·kg^-1） CXG， and high-dose （7.49 g·kg^-1） CXG groups. Mice were administrated with drinking water or CXG for 28 days， and the body weight and tumor volume were measured every 4 days. Hematoxylin-eosin staining was employed to observe the histopathological changes of tumors. The cell-counting kit-8 （CCK-8） was used to examine the survival rate of Huh7 cells treated with different concentrations （0， 31.25， 62.5， 125， 250， 500， 1 000 mg·L^-1） of CXG for 24 h and 48 h. CA-AM， DCFH-DA， and C11-BODIPY^581/591 fluorescent probes were used to determine the intracellular levels of ferrous ion （Fe²⁺）， reactive oxygen species （ROS）， and lipid peroxide （LPO）， respectively. The colorimetric method was employed to measure the levels of glutathione （GSH） and superoxide dismutase （SOD）. Western blot was employed to determine the protein levels of glutathione peroxidase 4 （GPX4）， transferrin receptor 1 （TFR1）， and ferritin heavy chain 1 （FTH1）， respectively. ResultsIn the animal experiment， compared with the model group， the drug treatment groups showed reductions in the tumor volume from day 12 （P<0.01）. After treatment， the Fufang Banmao and low-， medium-， and high-dose CXG groups had lower tumor volume， relative tumor volume， and tumor weight than the model group （P<0.05）， with tumor inhibition rates of 48.99%， 79.93%， 91.38%， and 97.36%， respectively. Moreover， the CXG groups had lower tumor volume and relative tumor volume （P<0.05 in all the three dose groups） and lower tumor weight （P<0.05 in medium-dose and high-dose groups） than the Fufang Banmao group. Compared with the model group， the drug treatment groups showed reduced number of tumor cells， necrotic foci with karyopyknosis， nuclear fragmentation， and nucleolysis， and the high-dose CXG group showed an increase in the proportion of interstitial fibroblasts. In the cell experiment， compared with the blank group， CXG reduced the survival rate of Huh7 cells in a dose-dependent manner after incubation for 24 h and 48 h （P<0.05）. Compared with the blank group， the RSL3 group and the low-， medium-， and high-dose CXG groups showed a decrease in the relative fluorescence intensity of CA-AM and increases in the fluorescence intensity of DCFH-DA and fluorescence ratio of C11-BODIPY^581/591， which indicated elevations in the levels of Fe²⁺ （P<0.01）， ROS （P<0.05）， and LPO （P<0.01）， respectively. Compared with the blank group， the RSL3 and low-， medium-， and high-dose CXG groups showed lowered levels of GSH and SOD （P<0.05）. In addition， the RSL3 group and the medium- and high-dose CXG groups showed down-regulated expression of GPX4 and FTH1 （P<0.05）， and the low- and high-dose CXG groups presented up-regulated expression of TFR1 （P<0.05）. ConclusionCXG suppresses the proliferation of hepatocellular carcinoma cells by inducing ferroptosis via downregulating the GSH-GPX4 signaling axis and increasing intracellular Fe²⁺and LPO levels.

Objective:To investigate the factors influencing the persistence of prostate specific antigen(PSA) following radical prostatectomy, and to develop and validate a predictive model for PSA persistence.Methods:Clinical data from 1 828 patients who underwent radical prostatectomy at Shanghai Changhai Hospital between January 2015 and December 2023 were retrospectively analyzed. Of these, 1 295 patients from January 2015 to April 2021 comprised the modeling group, while 533 patients from May 2021 to December 2023 formed the validation group. Additionally, 109 patients who underwent radical surgery at the Third Affiliated Hospital of Naval Medical University between March and December 2023 were included as an external validation group. Patients with incomplete clinical information, serum PSA levels exceeding 100 ng/ml, or those who received preoperative neoadjuvant therapy were excluded. Ultimately, 1 003, 369, and 86 patients were included in the modeling, validation, and external validation groups, respectively. The modeling group had serum PSA of 19.29 (8.43, 23.73) ng/ml; the clinical stages were distributed as T 1, T 2, T 3, and T 4 in 191, 673, 123, and 16 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 460, 466, and 77 patients, respectively; and the secondary Gleason scores were 3, 4, and 5 in 363, 486, and 154 patients, respectively. The validation group had serum PSA of 12.80 (6.82, 14.40) ng/ml; the clinical stages were distributed as T 1, T 2, T 3, and T 4 in 40, 289, 37, and 3 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 218, 145, and 6 patients, respectively; and the secondary Gleason scores were 3, 4, and 5 in 140, 184, and 45 patients, respectively. The external validation group had serum PSA of 12.84 (7.11, 12.97) ng/ml; the clinical stages were distributed as T 1, T 2 and T 3 in 9, 68, and 9 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 58, 27, and 1 patient, respectively; and the secondary Gleason scores were 3, 4, and 5 in 28, 50, and 8 patients, respectively. Logistic regression analysis was used to identify independent risk factors for PSA persistence after radical prostatectomy in the modeling group and a prediction model was constructed. The predictive performance of the model was analyzed using the area under the curve (AUC) of the receiver operating characteristics (ROC) curve, the calibration curve, and the clinical decision curve. The predictive performance of the model was verified by the ROC curve in the validation group and the external validation group. Results:The incidence of persistent PSA after surgery in the modeling group, validation group, and external validation group was 8.97% (90/1 003), 7.32% (27/369), and 17.4% (15/86), respectively. In the modeling group, univariate and multivariate logistic regression analysis revealed that serum PSA, percentage of positive needle cores, primary Gleason score on biopsy, and secondary Gleason score on biopsy were independent risk factors for PSA persistence ( P<0.05), and a prediction model was constructed based on these factors. The AUC value of this model was 0.790 (95% CI 0.745-0.835). Calibration curve and clinical decision curve analyses showed that the model's predicted probabilities aligned well with actual risks within the 0-40% prediction interval, providing clinical benefit. The AUC values of the ROC curves in the validation group and external validation group were 0.808 (95% CI 0.719-0.897) and 0.822 (95% CI 0.714-0.929), respectively, indicating that the model had good predictive performance. Conclusions:The predictive model for PSA persistence, constructed based on serum PSA, percentage of positive needle cores, primary and secondary Gleason score on biopsy, demonstrated good clinical predictive performance, exhibiting high accuracy in both internal and cross-center validation.

Objective:To observe the longitudinal changes of symptoms in the irradiation area of patients with postoperative radiotherapy for breast cancer,and investigate the correlative symptom indexes for predicting acute radiation dermatitis during radiotherapy.Methods:This study was designed as a prospective longitudinal study.A total of 103 patients with breast cancer who received three-dimensional con-formal radiotherapy in The Fourth Hospital of Hebei Medical University from May 2022 to December 2022 were enrolled using convenience and purposive sampling methods.The patients received a total of 50 Gy/25 radiotherapy sessions.We conducted weekly observations of five symptoms-itching,pain,swelling,burning,and tightness-in the irradiated area,for a total of six weeks.The incidence of symptoms associ-ated with radiation dermatitis across different severity levels was compared.We calculated the optimal number of symptoms for the occur-rence of grade 2 or higher radiation dermatitis,evaluated the predictive effect using the subject's work characteristic curve(ROC),and com-pared the risk of radiation dermatitis with the number of symptoms by applying a binary Logistic regression.Results:A total of 103 patients were included in the study.The total severity scores of symptoms were 0(0,0),0(0,0),0(0,1),1(0,2),2(1,3),3(2,4),respectively,show-ing a gradually increasing trend.From the 20 Gy/10-fraction radiotherapy point onward to the completion of radiotherapy,symptom scores exhibited statistically significant deviations from baseline values(P<0.001).From the beginning of 30 Gy/15 sessions to the end of radiother-apy,symptom scores were higher in patients with grade 2 and above dermatitis compared to those with dermatitis of less than grade 2(Z=2.12,2.81,4.08,P=0.034,0.005,0.001);at the end of 50Gy/25 sessions,the incidence rates of pruritus,pain,swelling,tightness,and burning were 68.9%(71 cases),68.9%(71 cases),46.6%(48 cases),36.9%(38 cases),and 15.5%(16 cases),respectively.At the 30 Gy/15 and 40 Gy/20 radiotherapy sessions,the optimal number of predicted symptoms were two and three,respectively.The corresponding areas under the ROC curve were 0.632 and 0.666.Sensitivity values were 48.6%and 43.2%,while specificity values reached 77.3%and 81.8%,re-spectively(95%CI:0.517-0.746,0.558-0.775,P=0.027,0.005).The subjects were assigned into low-risk and high-risk groups using the op-timal cut-off values,and binary Logistic regression showed that the risks of grade 2 and higher radiation dermatitis in the high-risk group were 3.39 and 3.58 times higher than that in the low-risk group(OR=3.388,95%CI:1.400-8.197,P=0.007;OR=3.584,95%CI:1.430-8.985,P=0.006).Conclusions:The symptoms of radiation dermatitis have appeared early and worsened with the severity of dermatitis.We should closely observe these symptoms throughout treatment.The risk of grade 2 and above radiation dermatitis increased when the number of symptoms was≥2 at 30 Gy/15 times and≥3 at 40 Gy/20 times.

Objective To observe the characteristics of affected shoulder joint range of motion in patients with breast cancer after ax-illary lymph node dissection before radiotherapy.Methods From January,2022 to December,2023,185 female patients from the Fourth Hospital of Hebei Medical Uni-versity after unilateral breast cancer who underwent axillary lymph node dissection were reviewed.Their general data were collected;affected shoulder joint range of motion was evaluated by progoniometer;lymphedema of af-fected upper extremities was evaluated by water volume replacement;Verbal Rating Scale(VRS)was used to evaluate the pain in the upper extremity of the operative side.Results The angles of anterior flexion and abduction of the affected shoulder joint were(158.90±17.17)° and(147.70±24.59)°.There were significant differences in the angles of affected shoulder anterior flexion and abduction among patients at different ages(more than 55 years and less than 55 years)and those with or without lymphede-ma.Multiple linear regression showed that the angle of affected shoulder flexion was smaller in patients aged more than 55 years(β=-7.766,95%CI-13.161 to-2.360,P=0.005),and with lymphedema(β=-10.991,95%CI-19.063 to-2.925,P=0.008);was larger in patients with longer duration after operation(β=0.463,95%CI 0.012 to 0.924,P=0.049),and BMI 24 to 27.9 kg/m2(β=6.211,95%CI 0.660 to 11.761,P=0.030)(compared with BMI<24 kg/m2).The angle of affected shoulder abduction was smaller in patients aged more than 55 years(β=-10.047,95%CI-17.358 to-2.747,P=0.008),and with lymphedema(β=-14.171,95%CI-25.191 to-3.150,P=0.013).Conclusion Shoulder joint range of motion has reduced in flexion and abduction in patients at early stage after axillary lymph node dissection for breast cancer,which is related to age and lymphedema.

Objective:To investigate the factors influencing the persistence of prostate specific antigen(PSA) following radical prostatectomy, and to develop and validate a predictive model for PSA persistence.Methods:Clinical data from 1 828 patients who underwent radical prostatectomy at Shanghai Changhai Hospital between January 2015 and December 2023 were retrospectively analyzed. Of these, 1 295 patients from January 2015 to April 2021 comprised the modeling group, while 533 patients from May 2021 to December 2023 formed the validation group. Additionally, 109 patients who underwent radical surgery at the Third Affiliated Hospital of Naval Medical University between March and December 2023 were included as an external validation group. Patients with incomplete clinical information, serum PSA levels exceeding 100 ng/ml, or those who received preoperative neoadjuvant therapy were excluded. Ultimately, 1 003, 369, and 86 patients were included in the modeling, validation, and external validation groups, respectively. The modeling group had serum PSA of 19.29 (8.43, 23.73) ng/ml; the clinical stages were distributed as T 1, T 2, T 3, and T 4 in 191, 673, 123, and 16 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 460, 466, and 77 patients, respectively; and the secondary Gleason scores were 3, 4, and 5 in 363, 486, and 154 patients, respectively. The validation group had serum PSA of 12.80 (6.82, 14.40) ng/ml; the clinical stages were distributed as T 1, T 2, T 3, and T 4 in 40, 289, 37, and 3 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 218, 145, and 6 patients, respectively; and the secondary Gleason scores were 3, 4, and 5 in 140, 184, and 45 patients, respectively. The external validation group had serum PSA of 12.84 (7.11, 12.97) ng/ml; the clinical stages were distributed as T 1, T 2 and T 3 in 9, 68, and 9 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 58, 27, and 1 patient, respectively; and the secondary Gleason scores were 3, 4, and 5 in 28, 50, and 8 patients, respectively. Logistic regression analysis was used to identify independent risk factors for PSA persistence after radical prostatectomy in the modeling group and a prediction model was constructed. The predictive performance of the model was analyzed using the area under the curve (AUC) of the receiver operating characteristics (ROC) curve, the calibration curve, and the clinical decision curve. The predictive performance of the model was verified by the ROC curve in the validation group and the external validation group. Results:The incidence of persistent PSA after surgery in the modeling group, validation group, and external validation group was 8.97% (90/1 003), 7.32% (27/369), and 17.4% (15/86), respectively. In the modeling group, univariate and multivariate logistic regression analysis revealed that serum PSA, percentage of positive needle cores, primary Gleason score on biopsy, and secondary Gleason score on biopsy were independent risk factors for PSA persistence ( P<0.05), and a prediction model was constructed based on these factors. The AUC value of this model was 0.790 (95% CI 0.745-0.835). Calibration curve and clinical decision curve analyses showed that the model's predicted probabilities aligned well with actual risks within the 0-40% prediction interval, providing clinical benefit. The AUC values of the ROC curves in the validation group and external validation group were 0.808 (95% CI 0.719-0.897) and 0.822 (95% CI 0.714-0.929), respectively, indicating that the model had good predictive performance. Conclusions:The predictive model for PSA persistence, constructed based on serum PSA, percentage of positive needle cores, primary and secondary Gleason score on biopsy, demonstrated good clinical predictive performance, exhibiting high accuracy in both internal and cross-center validation.

Objective:To observe the longitudinal changes of symptoms in the irradiation area of patients with postoperative radiotherapy for breast cancer,and investigate the correlative symptom indexes for predicting acute radiation dermatitis during radiotherapy.Methods:This study was designed as a prospective longitudinal study.A total of 103 patients with breast cancer who received three-dimensional con-formal radiotherapy in The Fourth Hospital of Hebei Medical University from May 2022 to December 2022 were enrolled using convenience and purposive sampling methods.The patients received a total of 50 Gy/25 radiotherapy sessions.We conducted weekly observations of five symptoms-itching,pain,swelling,burning,and tightness-in the irradiated area,for a total of six weeks.The incidence of symptoms associ-ated with radiation dermatitis across different severity levels was compared.We calculated the optimal number of symptoms for the occur-rence of grade 2 or higher radiation dermatitis,evaluated the predictive effect using the subject's work characteristic curve(ROC),and com-pared the risk of radiation dermatitis with the number of symptoms by applying a binary Logistic regression.Results:A total of 103 patients were included in the study.The total severity scores of symptoms were 0(0,0),0(0,0),0(0,1),1(0,2),2(1,3),3(2,4),respectively,show-ing a gradually increasing trend.From the 20 Gy/10-fraction radiotherapy point onward to the completion of radiotherapy,symptom scores exhibited statistically significant deviations from baseline values(P<0.001).From the beginning of 30 Gy/15 sessions to the end of radiother-apy,symptom scores were higher in patients with grade 2 and above dermatitis compared to those with dermatitis of less than grade 2(Z=2.12,2.81,4.08,P=0.034,0.005,0.001);at the end of 50Gy/25 sessions,the incidence rates of pruritus,pain,swelling,tightness,and burning were 68.9%(71 cases),68.9%(71 cases),46.6%(48 cases),36.9%(38 cases),and 15.5%(16 cases),respectively.At the 30 Gy/15 and 40 Gy/20 radiotherapy sessions,the optimal number of predicted symptoms were two and three,respectively.The corresponding areas under the ROC curve were 0.632 and 0.666.Sensitivity values were 48.6%and 43.2%,while specificity values reached 77.3%and 81.8%,re-spectively(95%CI:0.517-0.746,0.558-0.775,P=0.027,0.005).The subjects were assigned into low-risk and high-risk groups using the op-timal cut-off values,and binary Logistic regression showed that the risks of grade 2 and higher radiation dermatitis in the high-risk group were 3.39 and 3.58 times higher than that in the low-risk group(OR=3.388,95%CI:1.400-8.197,P=0.007;OR=3.584,95%CI:1.430-8.985,P=0.006).Conclusions:The symptoms of radiation dermatitis have appeared early and worsened with the severity of dermatitis.We should closely observe these symptoms throughout treatment.The risk of grade 2 and above radiation dermatitis increased when the number of symptoms was≥2 at 30 Gy/15 times and≥3 at 40 Gy/20 times.

Objective:Against the backdrop of population aging and air pollution,this study examined the re-gional distribution of depressive symptoms among middle-aged and elderly people in China and explores the influ-ence of patrticulate matter 2.5(PM2.5)concentration on these symptoms.This study examined the regional distri-bution of depressive symptoms in middle-aged and elderly people in China and explores the influence of PM2.5 concentration and related factors on these symptoms.Methods:Middle-aged and elderly people aged 45 years and above in CHARLS database in 2013,2015 and 2018 were selected as research objects,and the Center for Epidemio-logic Studies Depression Scale(CESD-10)to obtain the detection rate of depressive symptoms.The PM2.5 concen-tration data were derived from the annual data of the China Environmental Monitoring Station.t-test,x2 test and DID model were used to analyze the related factors of depressive symptoms.Stata17.0 and Arc GIS10.8 were used for spatial autocorrelation analysis to explore the regional distribution and relationship of depressive symptoms in mid-dle-aged and elderly people in China.Results:From east to west,the detection rate of depressive symptoms in mid-dle-aged and elderly people in China showed an increasing trend.The regional distribution of PM2.5 mainly showed that the central region was higher than the northern and southern regions and the western region(except Xinjiang)was higher than the eastern region.Conclusion:Both the PM2.5 concentration and depression symptoms exhibit spatial clustering across China.PM2.5 has a negative impact on depression symptoms in middle-aged and elderly people,with other related factors including gender,age,education level,marital status,living area,smoking status.

Objective To screen antidepressant-active compounds from Polygonati Rhizoma and explore their effects and possible mechanisms against depression induced by simulated weightlessness.Methods A systems pharmacology approach was used to screen potential antidepressant-active compounds and their targets from Polygonati Rhizoma.The hindlimb unloading(HLU)rat model was employed for the study.Twenty-four healthy male Sprague-Dawley rats were randomly divided into three groups:control group(administered 0.5%carboxymethylcellulose by gavage),HLU group(hindlimb unloading),and HLU+treatment group(hindlimb unloading+active compound gavage),with 8 rats in each group.After 28 days of hindlimb unloading,depressive-like behaviors in rats were evaluated using the forced swimming test and tail suspension test.Hippocampal morphology was examined with H&E staining,and GO and KEGG enrichment analyses were conducted on the targets of active compounds.Results A total of 38 active compounds were screened from Polygonati Rhizoma,among which apigenin had an oral bioavailability of 23.06%and a drug-likeness score of 0.21.Compound-target network analysis indicated that apigenin had the highest degree and betweenness centrality values,suggesting it might be the key active component with antidepressant potential in Polygonati Rhizoma.In the forced swimming and tail suspension tests,rats in the HLU group showed a significant increase in immobility time compared to the control group,indicating successful establishment of the depression model.However,compared to the HLU group,rats in the HLU plus apigenin group exhibited significantly reduced immobility time.The H&E staining results of hippocampal tissue showed a significant reduction in the number of hippocampal neurons,along with numerous shrunken neurons and small vacuoles in nerve fibers in the HLU group.In contrast,the treatment group exhibited an increased number of hippocampal neurons,with improved cellular morphology.Target enrichment analysis indicated that apigenin targets were mainly involved in the regulation of apoptosis and cancer-related signaling pathways.Conclusion Apigenin significantly improved depressive-like behaviors in rats subjected to hindlimb unloading,and it has a protective effect on hippocampal tissue.It may provide a new natural active compound for the treatment of depression caused by spaceflight-induced weightlessness.

Objective To observe the protective effects of Yiqi Jiedu Decoction on ionizing radiation-induced small intestinal functional injury in mice,and explore whether it alleviates such injury by inhibiting small intestinal ferroptosis,thereby providing scientific support for the discovery and development of intestinal radiation protection drugs in aerospace medicine.Methods A total of 378 male Balb/c mice were randomly divided into 7 groups:blank control group,model group,positive drug group,high-dose Yiqi Jiedu Decoction group,low-dose Yiqi Jiedu Decoction group,Liproxstatin-1 pre-irradiation administration group,and Liproxstatin-1 post-irradiation administration group,with 54 mice in each group.Each group was further divided into 3 batches,with 18 mice per batch.Seven days after preventive administration,all groups except the blank control group were subjected to a single whole-body irradiation with 2.0 Gy 60Co γ-rays.The general condition and morphological structure of the small intestine were observed at 1,3,and 7 days post-irradiation.The small intestinal charcoal propulsion rate,serum D-xylose content,and lactic acid content were measured,along with the levels of Fe,LPO,MDA,GSH,and SOD activity in the small intestine.Results Yiqi Jiedu Decoction could mitigate the decrease in body weight of mice after 2.0 Gy 60Co γ-ray irradiation,improve the morphological structure of the small intestine,reduce the small intestine charcoal propulsion rate,increase serum D-xylose levels,and decrease total serum lactate levels.It also alleviated mitochondrial shrinkage in the small intestine and reduced the contents of Fe and MDA in small intestine tissues.Conclusion Yiqi Jiedu Decoction may alleviate ionizing radiation-induced small intestinal functional injury by inhibiting ferroptosis in the small intestine,providing a new strategy for intestinal radiation injury in deep space exploration missions such as manned spaceflight.