Objective This study aimed to explore the scene-trait coping style of military rescuers in Wenchuan earthquake in an effort to provide scientific evidences for mental intervention program for Chinese military personne...Objective This study aimed to explore the scene-trait coping style of military rescuers in Wenchuan earthquake in an effort to provide scientific evidences for mental intervention program for Chinese military personnel.Methods By cluster sampling,a total of 151 military rescuers and 331 control servicemen were administered the military personnel scene-trait coping style scale(MPSTCSS).Results All active coping factor scores,and passive coping factor scores of affection,health and economy in the rescuer group were significantly higher than those in control group(P<0.05).The 21-above age subgroup,the3-year plus service subgroup,and the officer subgroup had significantly higher active coping factor scores on military tasks,military experience and personal development than those of the 21-below age subgroup,3-year minus service subgroup and the soldier subgroup,respectively(P<0.05 or P<0.01).Conclusion The earthquake relief servicemen can cope with stressful situations better than control group by taking active coping style.The officers,servicemen older than 21 years,and servicemen with more service duration than3 years could usually take active coping style.展开更多
This study aims to explore the factors influencing the success rate of the microdissection testicular sperm extraction(Micro-TESE)in patients with nonobstructive azoospermia(NOA)and cryptorchidism.Clinical data of 162...This study aims to explore the factors influencing the success rate of the microdissection testicular sperm extraction(Micro-TESE)in patients with nonobstructive azoospermia(NOA)and cryptorchidism.Clinical data of 162 patients with cryptorchidism who underwent Micro-TESE due to infertility from December 2015 to May 2020 in the First Affiliated Hospital of Nanjing Medical University were analyzed retrospectively.In the univariate analysis,significant differences in the age of patient at the time of orchidopexy(median[interquartile range,IQR]:7.0[4.0–11.0]years vs 11.5[9.0–14.5]years,P<0.001),interval between orchidopexy and Micro-TESE(mean±standard deviation:17.5±5.0 years vs 14.4±4.4 years,P<0.001),severity of cryptorchidism(unilateral[62.8%]vs bilateral[31.6%],P<0.001;location of cryptorchidism,intra-abdominal[27.3%]vs inguinal[44.8%]vs suprascrotal[66.7%],P<0.001),volume of the dominant testis(median[IQR]:17.00[15.00–19.00]ml vs 14.50[11.75–16.25]ml,P<0.001),and levels of follicle-stimulating hormone(FSH;P=0.004)and testosterone(P=0.006)were observed between the successful and failed sperm extraction groups.After conducting the multivariate analysis,four of these factors,including unilateral/bilateral cryptorchidism(P<0.001),location of cryptorchidism(P=0.032),age of orchidopexy(P<0.001),and dominant testicular volume,were adopted in the clinical prediction model to evaluate preoperatively the success rate of Micro-TESE for patients with NOA and cryptorchidism.The likelihood of successful sperm retrieval by Micro-TESE in men with NOA and cryptorchidism increased in patients with mild forms of cryptorchidism.展开更多
With great interest,we read the article by Lam et al.(1)entitled“A machine learning model for colorectal liver metastasis post-hepatectomy prognostications”.In this study,the authors included colorectal liver metast...With great interest,we read the article by Lam et al.(1)entitled“A machine learning model for colorectal liver metastasis post-hepatectomy prognostications”.In this study,the authors included colorectal liver metastasis(CRLM)patients from four hospitals in Hong Kong who underwent hepatic resection,and developed a survival prediction model based on the patients’demographic,oncologic,clinicopathologic,and therapeutic characteristics using machine learning.Through Cox proportional hazards and least absolute shrinkage and selection operator(LASSO)regression analyses,the authors successfully developed a predictive model consisting of eight predictors that could accurately predict overall survival(OS)and recurrence-free survival(RFS)after hepatectomy in patients with CRLM.This is an intriguing study with significant clinical value,and the authors deserve to be commended for their efforts.However,there are still several issues that need to be addressed in this study.展开更多
文摘Objective This study aimed to explore the scene-trait coping style of military rescuers in Wenchuan earthquake in an effort to provide scientific evidences for mental intervention program for Chinese military personnel.Methods By cluster sampling,a total of 151 military rescuers and 331 control servicemen were administered the military personnel scene-trait coping style scale(MPSTCSS).Results All active coping factor scores,and passive coping factor scores of affection,health and economy in the rescuer group were significantly higher than those in control group(P<0.05).The 21-above age subgroup,the3-year plus service subgroup,and the officer subgroup had significantly higher active coping factor scores on military tasks,military experience and personal development than those of the 21-below age subgroup,3-year minus service subgroup and the soldier subgroup,respectively(P<0.05 or P<0.01).Conclusion The earthquake relief servicemen can cope with stressful situations better than control group by taking active coping style.The officers,servicemen older than 21 years,and servicemen with more service duration than3 years could usually take active coping style.
基金Project supported by the National Science Fund for Distinguished Young Scholars(No.51625805),Chinathe Program of China Scholarships Council(No.201706320096)+2 种基金the Zhejiang Provincial Key Research Project of China(No.2015C03021)the Engineering Research Center Program of the US National Science Foundation(No.EEC-1449501)the US DOE/NETL Gas Hydrate Research Program
文摘This study aims to explore the factors influencing the success rate of the microdissection testicular sperm extraction(Micro-TESE)in patients with nonobstructive azoospermia(NOA)and cryptorchidism.Clinical data of 162 patients with cryptorchidism who underwent Micro-TESE due to infertility from December 2015 to May 2020 in the First Affiliated Hospital of Nanjing Medical University were analyzed retrospectively.In the univariate analysis,significant differences in the age of patient at the time of orchidopexy(median[interquartile range,IQR]:7.0[4.0–11.0]years vs 11.5[9.0–14.5]years,P<0.001),interval between orchidopexy and Micro-TESE(mean±standard deviation:17.5±5.0 years vs 14.4±4.4 years,P<0.001),severity of cryptorchidism(unilateral[62.8%]vs bilateral[31.6%],P<0.001;location of cryptorchidism,intra-abdominal[27.3%]vs inguinal[44.8%]vs suprascrotal[66.7%],P<0.001),volume of the dominant testis(median[IQR]:17.00[15.00–19.00]ml vs 14.50[11.75–16.25]ml,P<0.001),and levels of follicle-stimulating hormone(FSH;P=0.004)and testosterone(P=0.006)were observed between the successful and failed sperm extraction groups.After conducting the multivariate analysis,four of these factors,including unilateral/bilateral cryptorchidism(P<0.001),location of cryptorchidism(P=0.032),age of orchidopexy(P<0.001),and dominant testicular volume,were adopted in the clinical prediction model to evaluate preoperatively the success rate of Micro-TESE for patients with NOA and cryptorchidism.The likelihood of successful sperm retrieval by Micro-TESE in men with NOA and cryptorchidism increased in patients with mild forms of cryptorchidism.
基金Key University Natural Science Research Project of Anhui Province(No.2023AH053416)partly supported by the Open Funds of the Guangxi Key Laboratory of Tumor Immunology and Microenvironmental Regulation(No.2023KF012)Anhui Provincial Postdoctoral Scientific Foundation(No.2023A660).
文摘With great interest,we read the article by Lam et al.(1)entitled“A machine learning model for colorectal liver metastasis post-hepatectomy prognostications”.In this study,the authors included colorectal liver metastasis(CRLM)patients from four hospitals in Hong Kong who underwent hepatic resection,and developed a survival prediction model based on the patients’demographic,oncologic,clinicopathologic,and therapeutic characteristics using machine learning.Through Cox proportional hazards and least absolute shrinkage and selection operator(LASSO)regression analyses,the authors successfully developed a predictive model consisting of eight predictors that could accurately predict overall survival(OS)and recurrence-free survival(RFS)after hepatectomy in patients with CRLM.This is an intriguing study with significant clinical value,and the authors deserve to be commended for their efforts.However,there are still several issues that need to be addressed in this study.
