1.Network meta-analysis of first-line treatment of metastatic colorectal cancer with different chemotherapy combination regimens
Xiaoqing ZHANG ; Shuai LIU ; Kai ZHANG ; Beibei JI ; Wei LUAN
China Pharmacy 2025;36(17):2197-2204
OBJECTIVE To systematically evaluate the efficacy and safety of different chemotherapy combination regimens for first-line treatment of metastatic colorectal cancer (mCRC). METHODS PubMed, Cochrane Library, Embase and Web of Science were electronically searched to collect randomized controlled clinical trial (RCT) on first-line treatment for mCRC from January 1, 2000 to February 16, 2025. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies. Network meta-analysis was performed by using R4.4.3 and Stata 17.0 software. RESULTS A total of 28 RCTs, involving 16 intervention measures, were included. In terms of prolonging progression-free survival (PFS) and overall survival (OS), FOLFOX (5-fluorouracil+oxaliplatin+calcium folinate regimen)+cetuximab had the highest probability of ranking first. In terms of improving objective response rate (ORR), FOLFOXIRI (5-fluorouracil+oxaliplatin+irinotecan+calcium folinate regimen)+ bevacizumab and FOLFOX+bevacizumab+nivolumab had the highest probability of ranking first; in terms of the incidence of grade 3 or higher adverse reactions, FOLFOXIRI+panitumumab had the highest probability of ranking first; in subgroup analysis of KRAS wild-type patients, FOLFIRI (5-fluorouracil+irinotecan+calcium folinate regimen)+panitumumab and FOLFIRI+bevacizumab had the highest probability of ranking first in terms of prolonging PFS and OS, respectively; in terms of ORR, FOLFOXIRI+ cetuximab had the highest probability of ranking first. CONCLUSIONS In first-line treatment for mCRC, FOLFOX combined with targeted therapy has advantages in terms of efficacy and safety. However, individualized treatment strategies should be formulated based on the KRAS gene status and tumor location of patients.
2.Residual content of eugenol in commercially available aquatic products in four cities of Hubei Province in 2021 - 2023
Beibei MA ; Caiping YANG ; Lyv JI ; Xiaobo YANG
Journal of Public Health and Preventive Medicine 2024;35(5):77-80
Objective To understand the residual levels of eugenol in aquatic products sold in 4 cities in Hubei Province and timely discover potential food safety hazards, and to provide a scientific basis for supervision of eugenol in aquaculture and transportation of aquatic products. Methods From 2021 to 2023, 124 samples of aquatic products were randomly collected from supermarkets and farmers’ markets in Yichang, Xiantao, Jingmen, and Ezhou cities in Hubei Province. The ultra-high performance liquid chromatography-mass spectrometry was used to detect the residues of eugenol. Results Eugenol was detected in 51 out of 124 samples, with a detection rate of 41.13%,and a concentration range of N.D. - 2601μg/kg. Among them, 19 out of 40 samples were detected in 2021, with a detection rate of 47.50%; 12 out of 40 samples were detected in 2022, with a detection rate of 30.00%; and 20 out of 44 samples were detected in 2023, with a detection rate of 45.45%. There was no statistically significant difference in the detection rates in different years (P>0.05). The detection rates of eugenol in aquatic products sold in Yichang City, Xiantao City, Jingmen City, and Ezhou City were 22.58%, 35.48%, 41.94%, and 64.52%, respectively, and the differences were statistically significant (P<0.05). The detection rates of samples in supermarkets and farmers' markets were 35.56% and 44.30%, respectively, and the difference was not statistically significant (P>0.05). The detection rate of eugenol in bighead carp was the highest at 66.67%, followed by grass carp with a detection rate of 61.22%, which was significantly higher than other fish (P<0.05). Conclusion At present, the widespread use and arbitrary addition of eugenol should be paid attention to by relevant departments.
3.FTO stabilizes MIS12 and counteracts senescence.
Sheng ZHANG ; Zeming WU ; Yue SHI ; Si WANG ; Jie REN ; Zihui YU ; Daoyuan HUANG ; Kaowen YAN ; Yifang HE ; Xiaoqian LIU ; Qianzhao JI ; Beibei LIU ; Zunpeng LIU ; Jing QU ; Guang-Hui LIU ; Weimin CI ; Xiaoqun WANG ; Weiqi ZHANG
Protein & Cell 2022;13(12):954-960
4.Application progress of nurse allocation based on diagnosis related groups in specialized hospitals and general hospitals
Hui WEN ; Kaiwen DING ; Yanbo JI ; Beibei DAI ; Yuxiang CHEN ; Juan LIU ; Jianhong QIAO
Chinese Journal of Practical Nursing 2022;38(25):1997-2001
This article summarized the overview of diagnosis related groups (DRGs), the necessity of comprehensively popularizing and applying DRGs in specialized hospitals and general hospitals, the different methods and effects of nursing human resource allocation based on DRGs in specialized hospitals and general hospitals at home and abroad, and analyzed the different challenges and opportunities faced by DRGs in the implementation of human resource allocation in two types of hospitals. According to the types and characteristics of hospitals, this paper put forward some corresponding suggestions and prospects for the future, such as intelligent human resource prediction system and the construction of information sharing platform, so as to provide reference for the comprehensive promotion of DRGs in different types of hospitals in China.
5.Construction of a core competency evaluation index system for ophthalmic specialist nurses
Dongli NIE ; Xuezhang ZHANG ; Xiangnan JI ; Beibei WANG ; Lili MA ; Zhimin HAO ; Dehua CHEN ; Yan QIAO ; Xunyan YIN ; Xiu LIU
Chinese Journal of Modern Nursing 2021;27(26):3515-3521
Objective:To construct a core competency evaluation index system for ophthalmic specialist nurses so as to provide theoretical reference for cultivation and evaluation of ophthalmic specialized nurses in China.Methods:A research group was set up in October 2020, and the core competency evaluation index system for ophthalmic specialist nurses was initially formed by means of literature review, semi-structured interview and group discussion. From December 2020 to January 2021, an online questionnaire was used to conduct Delphi letter consultation among 23 experts in related fields nationwide, and the items were screened and modified. The weight of indicators was determined by the proportional distribution method.Results:Two rounds of consultation were conducted. The positive coefficients of experts were respectively 91.30% and 100.00%, Kendall's concordance coefficients were respectively 0.172 and 0. 192 ( P<0.05) , and the expert authority coefficient was 0.90. Finally, an index system consisting of 5 first-level indicators, 12 second-level indicators and 58 third-level indicators was formed. Conclusions:The core competence evaluation index system of ophthalmic specialist nurses constructed in this study has a high degree of enthusiasm and authority of experts, which reflects the characteristics of the ophthalmic nursing specialty and provides theoretical reference for cultivation and ability evaluation of ophthalmic specialist nurses in China.
6.Effects of bariatric metabolic surgery on body composition
Beibei CUI ; Liyong ZHU ; Pengzhou LI ; Weizheng LI ; Guohui WANG ; Xulong SUN ; Guangnian JI ; Zhaomei YU ; Haibo TANG ; Xianhao YI ; Jiapu LING ; Shaihong ZHU
Chinese Journal of Digestive Surgery 2020;19(11):1173-1182
Objective:To explore the effects of bariatric metabolic surgery on body composition.Methods:The retrospective cohort study was conducted. The clinicopathological data of 66 patients with metabolic diseases who were admitted to the Third Xiangya Hospital of Central South University from January 2013 to December 2014 were collected. There were 42 males and 24 females, aged (40±11)years, with a range from 17 to 63 years. Of the 66 patients, 27 undergoing laparoscopic sleeve gastrectomy (LSG) and 39 undergoing laparoscopic Roux-en-Y gastric bypass (LRYGB) were allocated into LSG group and LRYGB group, respectively. The body composition of all patients was determined by dual-energy X-ray absorptiometry at preoperation and postoperative 6 months. Observation indicators: (1) the changes of anthropometric parameters, glucolipid metabolism, body fat mass percentage (BF%) and the ratio of Android BF% and Gynoid BF% (A/G ratio) from preoperation to postoperative 6 months; (2) the changes of whole and local body composition from preoperation to postoperative 6 months; (3) analysis of the correlation between BF% and anthropometric parameters, glucolipid metabolism. (4) Follow-up. Follow-up was conducted using outpatient or hospitalization examination to detect the changes of body composition at the time of postoperative 6 month. The follow-up time was up to July 2015. Measurement data with normal distribution were represented as Mean± SD, paired-samples t test was used for intra-group comparison, and independent-samples t test when baseline data were consistency or covariance analysis when baseline data were not consistency was used for inter-group comparison. Measurement data with skewed distribution were represented as M ( P25, P75), and comparison between groups was analyzed using Wilcoxon signed rank test. The correlation test was undertaken with the Pearson bivariate analysis. Results:(1) The changes of anthropometric parameters, glucolipid metabolism, BF% and A/G ratio from preoperation to postoperative 6 months: for patients in the LSG group, the body mass, body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), diastolic blood pressure (DBP), systolic blood pressure (SBP), fasting plasma glucose (FPG), HbA1c, high density lipoprotein cholesterol (HDL-C), triglyceride (TG), whole BF%, arms BF%, legs BF%, trunk BF%, Android BF%, Gynoid BF% and A/G ratio at preoperation and postoperative 6 months were (102±17)kg, (37±5)kg/m 2, (118±14)cm, 1.01±0.06, (94±14)mmHg(1 mmHg=0.133 kPa), (137±15)mmHg, (8.1±4.2)mmol/L, 7.3%±2.4%, (1.11±0.26)mmol/L, 2.14 mmol/L(1.73 mmol/L, 2.59 mmol/L), 40%±6%, 46%±10%, 36%±8%, 42%±6%, 45%±6%, 37%±7%, 1.23±0.18 and (82±15)kg, (29±4)kg/m 2, (101±13)cm, 0.95±0.08, (76±10)mmHg, (118±16)mmHg, (7.2±1.2)mmol/L, 5.4%±0.8%, (1.26±0.32)mmol/L, 1.21 mmol/L(0.88 mmol/L, 1.55 mmol/L), 36%±8%, 41%±9%, 34%±10%, 38%±8%, 41%±8%, 35%±10%, 1.20±0.17, respectively. There was no significant difference in the intra-group comparison of the Gynoid BF% and A/G ratio ( t=1.903, 1.730, P>0.05) and there were significant differences in the intra-group comparison of the rest of above indicators ( t=12.748, 13.283, 9.013, 3.804, 6.031, 6.226, 2.393, 4.287, -2.900, 3.193, 2.932, 5.198, 2.167, 3.357, 3.116, P<0.05). For patients in the LRYGB group, the body mass, BMI, WC, WHR, DBP, SBP, FPG, HbA1c, HDL-C, TG, whole BF%, arms BF%, legs BF%, trunk BF%, Android BF%, Gynoid BF% and A/G ratio at preoperation and postoperative 6 months were (80±12)kg, (28±4)kg/m 2, (98±9)cm, 0.96±0.05, (85±10)mmHg, (134±17)mmHg, (8.6±2.8)mmol/L, 8.3%±1.7%, (1.13±0.26)mmol/L, 2.06 mmol/L(1.15 mmol/L, 3.30 mmol/L), 30%±8%, 29%±11%, 23%±9%, 37%±7%, 40%±7%, 29%±8%, 1.42±0.26 and (69±9)kg, (24±3)kg/m 2, (91±8)cm, 0.93±0.05, (80±9)mmHg, (129±18)mmHg, (7.4±1.8)mmol/L, 7.0%±1.5%, (1.18±0.29)mmol/L, 1.29 mmol/L(0.85 mmol/L, 2.02 mmol/L), 25%±8%, 23%±12%, 20%±9%, 29%±9%, 32%±10%, 25%±9%, 1.29±0.25, respectively. There was no significant difference in the intra-group comparison of the SBP and HDL-C ( t=1.733, -1.073, P>0.05) and there were significant differences in the intra-group comparison of the rest of above indicators ( t=10.525, 10.200, 7.129, 2.887, 2.805, 2.517, 3.699, 2.608, 7.997, 8.018, 6.029, 8.342, 8.069, 5.813, 6.391, P<0.05). There were significant differences in DBP, SBP, HbA1c, trunk BF%, Android BF% and A/G ratio at postoperative 6 months between LSG group and LRYGB group ( F=6.408, t=2.641, F=20.673, 5.140, 5.735, 4.714, P<0.05). (2) The changes of whole and local body composition from preoperation to postoperative 6 months: for patients in the LSG group, the whole fat mass, muscle mass, fat-free mass at preoperation and postoperative 6 months were (38.74±9.68)kg, (57.71±11.62)kg, (60.14±11.95)kg and (26.64±8.29)kg, (48.65±13.80)kg, (51.00±14.27)kg, respectively, showing significant differences in the intra-group comparison of the above indicators ( t=5.256, 5.413, 5.315, P<0.05); the arms fat mass, muscle mass, fat-free mass were (5.19±1.67)kg, (5.78±1.58)kg, (6.10±1.64)kg and (3.73±1.19)kg, (5.10±1.53)kg, (5.43±1.57)kg, respectively, showing significant differences in the intra-group comparison of the above indicators ( t=7.564, 5.405, 5.363, P<0.05); the legs muscle mass and fat-free mass were (19.05±4.19)kg, (19.93±4.35)kg and (15.93±4.71)kg, (16.81±4.87)kg, respectively, showing significant differences in the intra-group comparison of the above indicators ( t=5.623, 5.568, P<0.05); the trunk fat mass and fat-free mass were (21.93±4.90)kg, (29.7±5.94)kg and (14.69±4.79)kg, (24.78±7.02)kg respectively, showing significant differences in the intra-group comparison of the above indicators ( t=8.903, 5.421, P<0.05); the Android fat mass and fat-free mass were (4.16±1.19)kg, (5.01±1.12)kg and (2.57±0.90)kg, (3.83±1.20)kg respectively, showing significant differences in the intra-group comparison of the above indicators ( t=8.288, 7.637, P<0.05); the Gynoid fat mass and fat-free mass were (5.51±1.42)kg, (9.27±1.86)kg and (3.85±1.16)kg, (7.65±2.31)kg, respectively, showing significant differences in the intra-group comparison of the above indicators ( t=7.461, 5.672, P<0.05); the skeletal muscle index were (8.86±1.38)kg/m 2 and (7.49±1.71)kg/m 2, respectively, showing a significant differences in the intra-group comparison ( t=5.724, P<0.05). For patients in the LRYGB group, the whole fat mass, muscle mass, bone mineral content, fat-free mass at preoperation and postoperative 6 months were (23.58±7.80)kg, (51.76±8.35)kg, (2.55±0.48)kg, (54.31±8.63)kg and (16.88±6.86)kg, (49.41±7.70)kg, (2.47±0.50)kg, (51.88±8.05)kg, respectively, showing significant differences in the intra-group comparison of the above indicators ( t=9.001, 3.974, 4.354, 4.075, P<0.05); the arms fat mass were (2.72±2.37)kg and (1.73±1.02)kg, respectively, showing significant differences in the intra-group comparison of the above indicators ( t=3.470, P<0.05); the legs fat mass, muscle mass, fat-free mass were (5.21±2.46)kg, (16.68±3.50)kg, (17.60±3.66)kg and (4.01±2.12)kg, (15.63±2.90)kg, (16.54±3.05)kg, respectively, showing significant differences in the intra-group comparison of the above indicators ( t=6.592, 3.372, 3.319, P<0.05); the trunk fat mass were (14.87±4.11)kg and (10.38±4.00)kg, respectively, showing a significant difference in the intra-group comparison of the above indicators ( t=8.431, P<0.05); the Android fat mass and fat-free mass were (2.61±0.86)kg, (3.96±0.87)kg and (1.81±0.79)kg, (3.78±0.67)kg respectively, showing significant differences in the intra-group comparison of the above indicators ( t=8.032, 2.153, P<0.05); the Gynoid fat mass and fat-free mass were (3.14±1.17)kg, (7.89±1.58)kg and (2.44±0.96)kg, (7.43±1.26)kg, respectively, showing significant differences in the intra-group comparison of the above indicators ( t=6.112, 3.207, P<0.05); the skeletal muscle index were (8.04±1.22)kg/m 2 and (7.43±1.13)kg/m 2, respectively, showing significant differences in the intra-group comparison ( t=4.953, P<0.05). There were significant differences in whole muscle mass, whole fat-free mass, arms fat mass, legs muscle mass, legs fat-free mass, trunk fat-free mass, Android fat-free mass, Gynoid fat-free mass and skeletal muscle index at postoperative 6 months between LSG group and LRYGB group ( F=13.846, 13.614, 23.696, 7.100, 7.127, 15.243, 16.921, 8.625, 5.497, P<0.05). (3) Analysis of the correlation between BF% and anthropometric parameters, glucolipid metabolism: the whole BF% of 66 patients was positively correlated with body mass, BMI, WC and WHR ( r=0.405, 0.663, 0.625, 0.331, P<0.05); the arms BF% was positively correlated with body mass, BMI, WC and WHR ( r=0.432, 0.682, 0.639, 0.309, P<0.05); the legs BF% was positively correlated with body mass, BMI and WC ( r=0.366, 0.646, 0.564, P<0.05); the trunk BF% was positively correlated with body mass, BMI, WC and WHR ( r=0.332, 0.560, 0.554, 0.335, P<0.05); the Android BF% was positively correlated with body mass, BMI, WC and WHR ( r=0.327, 0.537, 0.543, 0.336, P<0.05); the Gynoid BF% was positively correlated with BMI and WC ( r=0.561, 0.488, P<0.05), and negatively correlated with FPG ( r=-0.491, P<0.05); the A/G ratio was negatively correlated with BMI ( r=-0.334, P<0.05), and positively correlated with FPG ( r=0.506, P<0.05); the skeletal muscle index was positively correlated with body mass, BMI, WC and WHR ( r=0.757, 0.641, 0.609, 0.519, P<0.05), and negatively correlated with HDL-C ( r=-0.369, P<0.05). (4) Follow-up: 66 patients were followed up at the time of postoperative 6 month. Conclusions:Both LSG and LRYGB significantly change body composition. LRYGB is superior to LSG in reducing trunk BF% and Android BF%. The effects of the two surgical methods on fat mass and bone mineral content are similar. LSG lead to a more significant decrease in whole muscle mass, and LRYGB lead to a more significant decrease in legs muscle mass and skeletal muscle index.
7.Relationship between temperature indicators and hospital admission for childhood pneumonia
Shaohua GU ; Beibei LU ; Liang ZHANG ; Lixia YE ; Wei JI ; Aihong WANG ; Guozhang XU
Journal of Preventive Medicine 2019;31(7):678-682
Objective:
To explore the relationship between different temperature indicators and hospital admission for childhood pneumonia.
Methods:
The hospital admissions for pneumonia in children aged 0-14 years and meteorological data in Ningbo from 2015 to 2017 were collected. A distributed lag non-linear model combined with a generalized linear model was employed to analyze the exposure-response relationships between different temperature indicators(daily average,minimum and maximum temperature;the first percentile as low temperature and the 99th percentile as high temperature)and hospital admission for childhood pneumonia.
Results:
A total of 4 542 cases of childhood pneumonia were recruited. There were obvious seasonal fluctuations found in the inpatient volume of childhood pneumonia,which peaked in winter and bottomed in summer. After adjusting for potential confounding variables such as relative humidity,PM2.5,long term trend and seasonal trend,the results suggested that after exposed to whether low or high temperature,the inpatient volume of childhood pneumonia would increase. When the daily average temperature and daily minimum temperature were employed,the effect of high temperature on the increase of inpatient volume for childhood pneumonia was statistically significant and the cumulative relative risk for a lag of 0-7 days were 1.52(95%CI:1.04-2.23)and 1.59(95%CI:1.08-2.34),respectively. When the daily maximum temperature was employed,the effect of low temperature on the increase of inpatient volume for childhood pneumonia was statistically significant and the cumulative relative risk for a lag of 0-7 days were 1.30(95%CI:1.02-1.66).
Conclusion
Our findings suggested that an increased risk of hospital admission for childhood pneumonia was associated with both low and high temperature.
8. A meta-analysis comparing Dosimetric between volumetric-modulated arc therapy and intensity-modulated radiotherapy for left sided breast cancer after breast-conserving surgery
Beibei WANG ; Kexin LI ; Handan JI ; Wei CHEN ; Lemin TANG
Chinese Journal of Radiation Oncology 2018;27(8):775-779
Objective:
To compare the dosimetric parameters of target volumes and organs at risk between volumetric-modulated arc therapy (VMAT) and intensity-modulated radiotherapy (IMRT) for left sided breast cancer after breast-conserving surgery by a meta-analysis.
Methods:
Literature search was performed to include related studies to analyze the dosimetric parameters of target volumes and organs at risk.
Results:
A total of 11 studies involving 154 patients were included in meta-analysis. There were no significant differences in Dmean, HI of PTV-Whole breast and PTV-Boost. Comparing to IMRT, VMAT increased the conformity index (CI) of PTV-Whole breast (
9.Efficacy of CZP3 DNA vaccine immune infertility enhanced by electric pulse method
Ying WANG ; Beibei ZHANG ; Ji ZHANG ; Jiaojiao LUO ; Fuchun ZHANG
Chinese Journal of Immunology 2017;33(2):237-241
Objective:To analyze the immunocontraceptive efficacy of CZP3 DNA vaccine by electric pulse stimulating and the correlation between antibody level and antifertility. Methods: The mice were immunized with 5, 10, 20 and 50 μg DNA vaccine pcDNA3. 0-CZP3 respectively and were stimulated at leg muscle by electric pulse. Detect the antibody level of each mice group and the highest antibody titer by ELISA. After mated with male mice for three weeks,calculated infertility rate of mice,the average litter size of each immune group and did statistical analysis. Results:Compared with the intramuscular injection alone,the electric pulse stimulation could increase serum antibody titers of mice significantly, the antibody titer of 50 μg group which was stimulated by electric pulse reached 1∶4 000. Moreover,the infertility of the mice increased and the mice average litter size reduced along with the increase of CZP3 antibody level significantly. Statistical analysis showed that the antibody level and the average litter size had a negative correlation. Conclusion:The electric pulse stimulation can improve the immune level and reduce the fertility efficiency of mice significantly,therefore establishes a foundation for further application of CZP3 DNA vaccine in stray dog contraception.
10.Determination of Thermal Physical Parameters and Related Model of Water Extracts of Salvia Miltiorrhiza Radix et Rhizoma
Qingqing MENG ; Baohua WANG ; Wenqin JI ; Beibei YANG ; Ping LI ; Fang WANG ; Lei DING
Chinese Journal of Information on Traditional Chinese Medicine 2017;24(5):86-90
Objective To determine the thermal conductivity under different temperatures and concentrations, and specific heat capacity under different concentrations of water extracts of Salvia Miltiorrhiza Radix et Rhizoma; To establish the mathematical model of thermal conductivity-temperature, thermal conductivity-concentration, thermal conductivity-temperature-concentration and specific heat capacity-concentration of water extracts of Salvia Miltiorrhiza Radix et Rhizoma. Methods Thermal conductivity and specific heat capacity were measured by the instantaneous double hot wire thermal conductivity meter and the electrothermal specific heat capacity meter. Excel, 1stOpt and MATLAB were used to analyze the experimental data. Results The method of using brix to facilitate and accurately characterize the concentration was established. The relationship between the thermal conductivity and the temperature and the concentration of water extracts of Salvia Miltiorrhiza Radix et Rhizoma were all linearly negative (λ=a-bT, λ=a-bC), and the influence of temperature and concentration on the thermal conductivity had a certain interaction. λ=a-bC-cT-dCT could be used as the temperature and the concentration on the thermal conductivity of the integrated role model. And the specific heat capacity of the extract was negatively correlated with the concentration (cp=a-bC). Conclusion The thermal conductivity and the specific heat capacity of the extract of water extracts of Salvia Miltiorrhiza Radix et Rhizoma are different at different temperatures and concentrations, and the model can be used to characterize the changing law of thermodynamics of the extracts. It can provide guidance significance for the thermal characteristics analysis in TCM pharmaceutical process and TCM production equipment selection and design, and production process control.


Result Analysis
Print
Save
E-mail