1.Effects of radiofrequency technology combined with electrical stimulation biofeedback training on stress urinary incontinence in female patients
Haichuan SHEN ; Shanfeng LI ; Cuiyun YANG ; Liang CHEN ; Yongzhen ZHU ; Yuan SUN ; Hong TAN ; Mingying YAO ; Wenjing SUN
Chinese Journal of Primary Medicine and Pharmacy 2025;32(6):806-811
Objective:To investigate the effects of radiofrequency technology combined with electrical stimulation biofeedback training on stress urinary incontinence in female patients.Methods:This is a prospective study that included 360 female patients with stress urinary incontinence who visited the Department of Gynecology and Obstetrics at Lianyungang Maternal and Child Health Hospital from June 2021 to June 2023. The patients were divided into three groups using a random number table method: a radiofrequency treatment group ( n = 120, treated with radiofrequency technology), an electrical stimulation treatment group ( n = 120, treated with electrical stimulation biofeedback training), and a combined treatment group ( n = 120, treated with a combination of radiofrequency technology and electrical stimulation biofeedback training). The clinical efficacy of the three groups was evaluated. Before and after treatment, a 1-hour pad test and urine test were conducted. The Incontinence Questionnaire-Urinary Incontinence Short Form was used to assess the surface electromyography values of the pelvic floor muscles in patients across the three groups. Results:The effective treatment rate in the combined treatment group was 87.50% (105/120), which was significantly higher than the rates in the radiofrequency treatment group (69.17%, 83/120) and the electrical stimulation treatment group (71.67%, 86/120) ( χ2 = 13.05, P < 0.05). After treatment, the 1-hour pad test showed that the urine leakage amounts and the Incontinence Questionnaire-Urinary Incontinence Short Form scores for the combined treatment group were (1.14 ± 0.16) g and (4.15 ± 0.48), respectively. In comparison, the values in the radiofrequency treatment group were (3.04 ± 0.42) g and (8.66 ± 0.89), while in the electrical stimulation treatment group they were (3.01 ± 0.39) g and (8.78 ± 0.91). Differences among the three groups were statistically significant ( F = 1 024.37, 1 354.96, all P < 0.05). After treatment, the surface electromyography values during the rapid contraction, sustained contraction, and endurance contraction phases for the combined treatment group were (31.97 ± 3.24) μV, (27.01 ± 3.02) μV, and (20.05 ± 2.11) μV, respectively. For the radiofrequency treatment group, the values were (27.85 ± 2.72) μV, (21.63 ± 2.39) μV, and (15.14 ± 1.63) μV, while the electrical stimulation treatment group showed values of (27.93 ± 2.75) μV, (22.04 ± 2.41) μV, and (15.39 ± 1.67) μV. Differences among the three groups were also statistically significant ( F = 78.49, 156.43, 278.16, all P < 0.05). Conclusions:Radiofrequency technology combined with electrical stimulation biofeedback training can substantially improve pelvic floor muscle strength and reduce urinary incontinence symptoms in female patients with stress urinary incontinence.
2.Progress in porcine hemagglutinating encephalomyelitis
Wenjie LI ; Yongzhen JIN ; Yumei SUN ; Junchen ZHANG ; Wenlong ZHU ; Wen-tao LI
Chinese Journal of Veterinary Science 2025;45(5):1095-1102
Porcine hemagglutinating encephalomyelitis virus(PHEV),a betacoronavirus with a sin-gle-stranded,positive-sense RNA genome,is an important pathogen in the swine industry.It causes porcine hemagglutinating encephalomyelitis(PHE),presenting with symptoms such as vomiting,diarrhea,neurological symptoms,and respiratory distress,particularly in piglets.The virus is asso-ciated with high mortality rates and growth stunting in subclinical cases.PHEV has a well-docu-mented global distribution,with occurrences reported across Europe,South America,North Amer-ica,and East Asia,posing a considerable challenge to the swine industry.This review aims to pro-vide a comprehensive overview of PHE's virological characteristics,epidemiology,clinical and pathological manifestations,mechanisms of infection and pathogenicity,and the current state of di-agnostic techniques.It further evaluates advancements in vaccine and antiviral development,along-side comprehensive prevention and control strategies,contextualized within the framework of the latest foundational research.
3.Progress in porcine hemagglutinating encephalomyelitis
Wenjie LI ; Yongzhen JIN ; Yumei SUN ; Junchen ZHANG ; Wenlong ZHU ; Wen-tao LI
Chinese Journal of Veterinary Science 2025;45(5):1095-1102
Porcine hemagglutinating encephalomyelitis virus(PHEV),a betacoronavirus with a sin-gle-stranded,positive-sense RNA genome,is an important pathogen in the swine industry.It causes porcine hemagglutinating encephalomyelitis(PHE),presenting with symptoms such as vomiting,diarrhea,neurological symptoms,and respiratory distress,particularly in piglets.The virus is asso-ciated with high mortality rates and growth stunting in subclinical cases.PHEV has a well-docu-mented global distribution,with occurrences reported across Europe,South America,North Amer-ica,and East Asia,posing a considerable challenge to the swine industry.This review aims to pro-vide a comprehensive overview of PHE's virological characteristics,epidemiology,clinical and pathological manifestations,mechanisms of infection and pathogenicity,and the current state of di-agnostic techniques.It further evaluates advancements in vaccine and antiviral development,along-side comprehensive prevention and control strategies,contextualized within the framework of the latest foundational research.
4.Effects of radiofrequency technology combined with electrical stimulation biofeedback training on stress urinary incontinence in female patients
Haichuan SHEN ; Shanfeng LI ; Cuiyun YANG ; Liang CHEN ; Yongzhen ZHU ; Yuan SUN ; Hong TAN ; Mingying YAO ; Wenjing SUN
Chinese Journal of Primary Medicine and Pharmacy 2025;32(6):806-811
Objective:To investigate the effects of radiofrequency technology combined with electrical stimulation biofeedback training on stress urinary incontinence in female patients.Methods:This is a prospective study that included 360 female patients with stress urinary incontinence who visited the Department of Gynecology and Obstetrics at Lianyungang Maternal and Child Health Hospital from June 2021 to June 2023. The patients were divided into three groups using a random number table method: a radiofrequency treatment group ( n = 120, treated with radiofrequency technology), an electrical stimulation treatment group ( n = 120, treated with electrical stimulation biofeedback training), and a combined treatment group ( n = 120, treated with a combination of radiofrequency technology and electrical stimulation biofeedback training). The clinical efficacy of the three groups was evaluated. Before and after treatment, a 1-hour pad test and urine test were conducted. The Incontinence Questionnaire-Urinary Incontinence Short Form was used to assess the surface electromyography values of the pelvic floor muscles in patients across the three groups. Results:The effective treatment rate in the combined treatment group was 87.50% (105/120), which was significantly higher than the rates in the radiofrequency treatment group (69.17%, 83/120) and the electrical stimulation treatment group (71.67%, 86/120) ( χ2 = 13.05, P < 0.05). After treatment, the 1-hour pad test showed that the urine leakage amounts and the Incontinence Questionnaire-Urinary Incontinence Short Form scores for the combined treatment group were (1.14 ± 0.16) g and (4.15 ± 0.48), respectively. In comparison, the values in the radiofrequency treatment group were (3.04 ± 0.42) g and (8.66 ± 0.89), while in the electrical stimulation treatment group they were (3.01 ± 0.39) g and (8.78 ± 0.91). Differences among the three groups were statistically significant ( F = 1 024.37, 1 354.96, all P < 0.05). After treatment, the surface electromyography values during the rapid contraction, sustained contraction, and endurance contraction phases for the combined treatment group were (31.97 ± 3.24) μV, (27.01 ± 3.02) μV, and (20.05 ± 2.11) μV, respectively. For the radiofrequency treatment group, the values were (27.85 ± 2.72) μV, (21.63 ± 2.39) μV, and (15.14 ± 1.63) μV, while the electrical stimulation treatment group showed values of (27.93 ± 2.75) μV, (22.04 ± 2.41) μV, and (15.39 ± 1.67) μV. Differences among the three groups were also statistically significant ( F = 78.49, 156.43, 278.16, all P < 0.05). Conclusions:Radiofrequency technology combined with electrical stimulation biofeedback training can substantially improve pelvic floor muscle strength and reduce urinary incontinence symptoms in female patients with stress urinary incontinence.
5.Enzyme-linked immunosorbent assays for quantification of MMMAE-conjugated ADCs and total antibodies in cynomolgus monkey sera
Pei MIN ; Liu TINGTING ; Ouyang LU ; Sun JIANHUA ; Deng XIAOJIE ; Sun XIAOMIN ; Wu WEI ; Huang PENG ; Chen YI-LI ; Tan XIAORONG ; Liu XIAOYUE ; Zhu PENG ; Liu YONGZHEN ; Wang DEHENG ; Wu JUNLIANG ; Wang QI ; Wang GUIFENG ; Gong LIKUN ; Qin QIUPING ; Wang CHUNHE
Journal of Pharmaceutical Analysis 2022;12(4):645-652
Antibody-drug conjugates(ADCs)are commonly heterogeneous and require extensive assessment of exposure-efficacy and exposure-safety relationships in preclinical and clinical studies.In this study,we report the generation of a monoclonal antibody against monomethyl auristatin E(MMAE)and the development,validation,and application of sensitive and high-throughput enzyme-linked immunosor-bent assays(ELISA)to measure the concentrations of MMAE-conjugated ADCs and total antibodies(tAb,antibodies in ADC plus unconjugated antibodies)in cynomolgus monkey sera.These assays were suc-cessfully applied to in vitro plasma stability and pharmacokinetic(PK)studies of SMADC001,an MMAE-conjugated ADC against trophoblast cell surface antigen 2(TROP-2).The plasma stability of SMADC001 was better than that of similar ADCs coupled with PEG4-Val-Cit,Lys(m-dPEG24)-Cit,and Val-Cit linkers.The developed ELISA methods for the calibration standards of ADC and tAb revealed a correlation be-tween serum concentrations and the OD450 values,with R2 at 1.000,and the dynamic range was 0.3-35.0 ng/mL and 0.2-22.0 ng/mL,respectively;the intra-and inter-assay accuracy bias%ranged from-12.2%to-5.2%,precision ranged from-12.4%to-1.4%,and the relative standard deviation(RSD)was less than 6.6%and 8.7%,respectively.The total error was less than 20.4%.The development and validation steps of these two assays met the acceptance criteria for all addressed validation parameters,which suggested that these can be applied to quantify MMAE-conjugated ADCs,as well as in PK studies.Furthermore,these assays can be easily adopted for development of other similar immunoassays.
6. Study on the health literacy and related factors of the cancer prevention consciousness among urban residents in China from 2015 to 2017
Chengcheng LIU ; Chunlei SHI ; Jufang SHI ; Ayan MAO ; Huiyao HUANG ; Pei DONG ; Fangzhou BAI ; Yunsi CHEN ; Debin WANG ; Guoxiang LIU ; Xianzhen LIAO ; Yana BAI ; Xiaojie SUN ; Jiansong REN ; Li YANG ; Donghua WEI ; Bingbing SONG ; Haike LEI ; Yuqin LIU ; Yongzhen ZHANG ; Siying REN ; Jinyi ZHOU ; Jialin WANG ; Jiyong GONG ; Lianzheng YU ; Yunyong LIU ; Lin ZHU ; Lanwei GUO ; Youging WANG ; Yutong HE ; Peian LOU ; Bo CAI ; Xiaohua SUN ; Shouling WU ; Xiao QI ; Kai ZHANG ; Ni LI ; Wanghong XU ; Wuqi QIU ; Min DAI ; Wanqing CHEN
Chinese Journal of Preventive Medicine 2020;54(1):47-53
Objective:
To understand the health literacy and relevant factors of cancer prevention consciousness in Chinese urban residents from 2015 to 2017.
Methods:
A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The self-designed questionnaire was used to collect the information of demographic characteristics and cancer prevention consciousness focusing on nine common risk factors, including smoking, alcohol, fiber food, food in hot temperature or pickled food, chewing betel nut, helicobacter pylori, moldy food, hepatitis B infection, estrogen, and exercise. The logistic regression model was adopted to identify the influencing factors.
Results:
The overall health literacy of the cancer prevention consciousness was 77.4% (24 980 participants), with 77.4% (12 018 participants), 79.9% (6 406 participants), 77.2% (1 766 participants) and 74.5% (4 709 participants) in each group (
7. Analysis on the consciousness of the cancer early detection and its influencing factors among urban residents in China from 2015 to 2017
Ayan MAO ; Jufang SHI ; Wuqi QIU ; Chengcheng LIU ; Pei DONG ; Huiyao HUANG ; Kun WANG ; Debin WANG ; Guoxiang LIU ; Xianzhen LIAO ; Yana BAI ; Xiaojie SUN ; Jiansong REN ; Li YANG ; Donghua WEI ; Bingbing SONG ; Haike LEI ; Yuqin LIU ; Yongzhen ZHANG ; Siying REN ; Jinyi ZHOU ; Jialin WANG ; Jiyong GONG ; Lianzheng YU ; Yunyong LIU ; Lin ZHU ; Lanwei GUO ; Youqing WANG ; Yutong HE ; Peian LOU ; Bo CAI ; Xiaohua SUN ; Shouling WU ; Xiao QI ; Kai ZHANG ; Ni LI ; Min DAI ; Wanqing CHEN
Chinese Journal of Preventive Medicine 2020;54(1):54-61
Objective:
To understand the consciousness of the cancer early detection among urban residents and identify the influencing factors from 2015 to 2017.
Methods:
A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. Self-designed questionnaires were used to collect population, socioeconomic indicators, self-cancer risk assessment, regular participation in physical examination and other information. The multivariate logistic regression model was used to identify the factors of people who had not regularly participated in the regular physical examination in the past five years.
Results:
The self-assessment results of 32 357 residents showed that there were 27.54% (8 882) of total study population with self-reported cancer risk, 45.48% (14 671) without cancer risk and 26.98% (8 704) with unclear judgement on their own cancer risk. Among population with cancer risk, 79.84% (7 091) considered physical examination accounted. In the past five years, there were 21 105 (65.43%) residents participated in regular physical examination and 11 148 (34.56%) participated in non-scheduled one, respectively. The multivariate logistic regression analysis showed that compared with unmarried and western region residents, divorced, middle and eastern region residents had a stronger consciousness to participate in the regular physical examination (
8. Analysis on the consciousness of the early cancer diagnosis and its related factors among urban residents in China from 2015 to 2017
Xuan CHENG ; Pei DONG ; Jufang SHI ; Wuqi QIU ; Chengcheng LIU ; Kun WANG ; Huiyao HUANG ; Yana BAI ; Xiaojie SUN ; Debin WANG ; Guoxiang LIU ; Xianzhen LIAO ; Li YANG ; Donghua WEI ; Bingbing SONG ; Haike LEI ; Yuqin LIU ; Yongzhen ZHANG ; Siying REN ; Jinyi ZHOU ; Jialin WANG ; Jiyong GONG ; Lianzheng YU ; Yunyong LIU ; Lin ZHU ; Lanwei GUO ; Youqing WANG ; Yutong HE ; Peian LOU ; Bo CAI ; Xiaohua SUN ; Shouling WU ; Xiao QI ; Kai ZHANG ; Ni LI ; Jiansong REN ; Wanqing CHEN ; Min DAI ; Ayan MAO
Chinese Journal of Preventive Medicine 2020;54(1):62-68
Objective:
To understand the consciousness of the cancer early diagnosis among urban residents and identify the related factors from 2015 to 2017.
Methods:
A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The general demographic characteristics, the consciousness of the cancer early diagnosis (whether people would have a willingness or encourage their relatives/friends to confirm the abnormal results once which were detected from the physical examination) and other information were collected by using the self-designed questionnaire. The non-conditional logistic regression model was used to identify the relateol factors related to the consciousness of the cancer early diagnosis.
Results:
As for residents with abnormal result from the physical examination, 89.29% (28 802) of residents would choose to seek medical treatment for further diagnosis. If their relatives/friends had abnormal results from the physical examination, 89.55% (28 886) of residents would encourage their relatives/friends to confirm the diagnosis in time. The non-conditional logistic regression model analysis showed that compared with the public institution staff/civil servants, annual household income less than 20 000 CNY, the western region and the cancer risk assessment/screening intervention population, the company staff, annual household income about 40 000 CNY and more, and the residents from the middle and eastern region had a stronger consciousness to seek further diagnosis; while the unemployed residents and community residents were less likely to seek further diagnosis (
9. Analysis on the consciousness of the early cancer treatment and its influencing factors among urban residents in China from 2015 to 2017
Huichao LI ; Kun WANG ; Yannan YUAN ; Ayan MAO ; Chengcheng LIU ; Shuo LIU ; Lei YANG ; Huiyao HUANG ; Pei DONG ; Debin WANG ; Guoxiang LIU ; Xianzhen LIAO ; Yana BAI ; Xiaojie SUN ; Jiansong REN ; Li YANG ; Donghua WEI ; Bingbing SONG ; Haike LEI ; Yuqin LIU ; Yongzhen ZHANG ; Siying REN ; Jinyi ZHOU ; Jialin WANG ; Jiyong GONG ; Lianzheng YU ; Yunyong LIU ; Lin ZHU ; Lanwei GUO ; Youqing WANG ; Yutong HE ; Peian LOU ; Bo CAI ; Xiaohua SUN ; Shouling WU ; Xiao QI ; Kai ZHANG ; Ni LI ; Min DAI ; Wanqing CHEN ; Ning WANG ; Wuqi QIU ; Jufang SHI
Chinese Journal of Preventive Medicine 2020;54(1):69-75
Objective:
To understand the consciousness of the cancer early treatment and its demographic and socioeconomic factors.
Methods:
A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China (CanSPUC) from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The questionnaire collected personal information, the consciousness of the cancer early treatment and relevant factors. The Chi square test was used to compare the difference between the consciousness of the cancer early treatment and relevant factors among the four groups. The logistic regression model was used to analyze the influencing factors related to the consciousness of the cancer early treatment.
Results:
With the assumption of being diagnosed as precancer or cancer, 89.97% of community residents, 91.84% of cancer risk assessment/screening population, 93.00% of cancer patients and 91.52% of occupational population would accept active treatments (
10. Analysis on the health literacy of the cancer prevention and treatment and its related factors among urban residents in China from 2015 to 2017
Pei DONG ; Jufang SHI ; Wuqi QIU ; Chengcheng LIU ; Kun WANG ; Huiyao HUANG ; Debin WANG ; Guoxiang LIU ; Xianzhen LIAO ; Yana BAI ; Xiaojie SUN ; Jiansong REN ; Li YANG ; Donghua WEI ; Bingbing SONG ; Haike LEI ; Yuqin LIU ; Yongzhen ZHANG ; Siying REN ; Jinyi ZHOU ; Jialin WANG ; Jiyong GONG ; Lianzheng YU ; Yunyong LIU ; Lin ZHU ; Lanwei GUO ; Youqing WANG ; Yutong HE ; Peian LOU ; Bo CAI ; Xiaohua SUN ; Shouling WU ; Xiao QI ; Kai ZHANG ; Ni LI ; Min DAI ; Wanqing CHEN ; Ayan MAO ; Jie HE
Chinese Journal of Preventive Medicine 2020;54(1):76-83
Objective:
To understand the health literacy of the cancer prevention and treatment among urban residents of China, and explore the related factors.
Methods:
A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China (CanSPUC) from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The health literacy of the cancer prevention, early discovery, early diagnosis, early treatment and the demands of cancer prevention and treatment knowledge was analyzed. The level of health literacy among different groups were calculated and compared. The binary logistic regression model was used to analyze the influencing factors of the health literacy of the cancer prevention and treatment.
Results:
The level of health literacy of the cancer prevention and treatment was 56.97% among all study population; in each group it was 55.01% for community residents, 59.08% for cancer risk assessment/screening population, 61.99% for cancer patients and 57.31% for occupational population, respectively (

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