BACKGROUND The combination of programmed cell death protein-1(PD-1)inhibitor and che-motherapy is approved as a standard first-or second-line treatment in patients with advanced oesophageal or gastric cancer.However,i...BACKGROUND The combination of programmed cell death protein-1(PD-1)inhibitor and che-motherapy is approved as a standard first-or second-line treatment in patients with advanced oesophageal or gastric cancer.However,it is unclear whether this combination is superior to chemotherapy alone.AIM To assess the comparative effectiveness and tolerability of combining PD-1 inhibitors with chemotherapy vs chemotherapy alone in patients with advanced gastric cancer,gastroesophageal junction(GEJ)cancer,or oesophageal carcinoma.METHODS We searched the PubMed and Embase databases for studies that compared the efficacy and tolerance of PD-1 inhibitors in combination with chemotherapy vs chemotherapy alone in patients with advanced oesophageal or gastric cancer.We employed either random or fixed models to analyze the outcomes of each clinical trial,en-compassing data on overall survival(OS),progression-free survival(PFS),objective response rate,and adverse events(AEs).RESULTS Nine phase 3 clinical trials(7016 advanced oesophageal and gastric cancer patients)met the inclusion criteria.Our meta-analysis demonstrated that the pooled PD-1 inhibitor+chemotherapy group had a significantly longer OS than the chemotherapy-alone group[hazard ratio(HR)=0.76,95%confidence interval(CI):0.71-0.81];the pooled PFS result was consistent with that of OS(HR=0.67,95%CI:0.61-0.74).The count of patients achieving an objective response in the PD-1 inhibitor+chemotherapy group surpassed that of the chemotherapy-alone group[odds ratio(OR)=1.86,95%CI:1.59-2.18].AE incidence was also higher in the combination-therapy group than in the chemotherapy-alone group,regardless of whether≥grade 3 only(OR=1.30,95%CI:1.07-1.57)or all AE grades(OR=1.88,95%CI:1.39-2.54)were examined.We performed a subgroup analysis based on the programmed death-ligand 1(PD-L1)combined positive score(CPS)and noted extended OS and PFS durations within the CPS≥1,CPS≥5,and CPS≥10 subgroups of the PD-1 inhibitor+chemotherapy group.CONCLUSION In contrast to chemotherapy alone,the combination of PD-1 inhibitor and chemotherapy appears to present a more favorable option for initial or subsequent treatment in patients with gastric cancer,GEJ tumor,or oesophageal cancer.This holds true particularly for individuals with PD-L1 CPS scores of≥5 and≥10.展开更多
Grey system analysis method was used to study the correlation between water pollution in D Lake area and death rate of malignancy with death rate of malignancy as effect sequence and a variety of water pollution index...Grey system analysis method was used to study the correlation between water pollution in D Lake area and death rate of malignancy with death rate of malignancy as effect sequence and a variety of water pollution index as factor sequence. On the basis of grey correlation analysis, grey system predication model was established for death rate of malignancy in population in D Lake area including GM (1, N) model for death rate of malignancy [ MR (t+1) =(9.9987E 1+5.0001E 2 +10.8994E 3+1.1114E 4+165.1029) ·e -0.0070t -9.9987E 1-5.0001E 2-10.8994E 3-1.1114E 4 ] and GM (1, 1) model for related factors [ E 1(t+1) =52.1214-46.9468e -0.0058t , E 2(t+1) =4.6114-4.5664e 0.0015t, E 3(t+1) =1.1389-1.1212e 0.0065t , E 4(t+1) = 554.5867-549.8006e 0.0016t ], and the trend of death rate of malignancy from 2000 to 2010 was predicted.展开更多
In this paper, we propose an SIRS epidemic model with pulse vaccination, birth pulse and Logistic death rate. By using the stroboscopic map of a discrete dynamical system, the disease-free periodic solution (DFPS for ...In this paper, we propose an SIRS epidemic model with pulse vaccination, birth pulse and Logistic death rate. By using the stroboscopic map of a discrete dynamical system, the disease-free periodic solution (DFPS for short) of the model under pulse vaccination and birth pulse is obtained. Based on the Floquet theory and comparison theorem of impulsive differential equations, the global asymptotic stability of the DFPS is given, and sufficient conditions for the permanence of the model are obtained. In addition, numerical simulations are done to confirm our theoretical results.展开更多
We propose a monomer birth-death model with random removals, in which an aggregate of size k can produce a new monomer at a time-dependent rate I(t)k or lose one monomer at a rate J(t)k, and with a probability P(...We propose a monomer birth-death model with random removals, in which an aggregate of size k can produce a new monomer at a time-dependent rate I(t)k or lose one monomer at a rate J(t)k, and with a probability P(t) an aggregate of any size is randomly removed. We then anedytically investigate the kinetic evolution of the model by means of the rate equation. The results show that the scaling behavior of the aggregate size distribution is dependent crucially on the net birth rate I(t) - J(t) as well as the birth rate I(t). The aggregate size distribution can approach a standard or modified scaling form in some cases, but it may take a scale-free form in other cases. Moreover, the species can survive finally only if either I(t) - J(t) ≥ P(t) or [J(t) + P(t) - I(t)]t ≈ 0 at t ≥ 1; otherwise, it will become extinct.展开更多
Introduction: On March 11, 2020, the World Health Organization (WHO) declared that the entire World was overrun by a pandemic. Science has managed, in a short time, to characterize a new disease, sequence a new viral ...Introduction: On March 11, 2020, the World Health Organization (WHO) declared that the entire World was overrun by a pandemic. Science has managed, in a short time, to characterize a new disease, sequence a new viral genome, develop diagnostics, produce treatment protocols and establish the efficacy of drugs and vaccines in randomized controlled trials. In this paper we have dealt with different topics regarding the pandemic linked to COVID-19. Objectives: Aim of this paper is to compare the number of deaths attributable to COVID-19, that occurred in the different Italian macro-areas, in the different pandemic waves;we studied the trend of the curves relating to the proportion of deaths to the number of infected in the Italian macro-areas for the pandemic waves and analysed the mortality data, focusing on the Italian context and comparing it with other foreign countries. We examined the data regarding swabs, hospitalizations, home isolation, admissions to intensive care and deaths registered in pandemic period. Results: Geographically, Italy was differently affected by the pandemic. Northern Italy was the most affected area. In comparison with some foreign countries, Italy is one of the nations that paid the most in terms of deaths, due to: delays in understanding the seriousness of the emergency;the slow management in the tracking systems of contagions;the high number of hospitalizations;a corporate organizational system poorly planned. Conclusion: The years 2020 and 2021 have been dramatic and unprecedented. The year 2021 was the year of redemption, where, despite social, economic and health difficulties, thanks to mass vaccination, we were able to give a real strong response to the pandemic. Trust in science has led to a drastic decrease in mortality throughout the world.展开更多
BACKGROUND In brain death donors(BDDs),donor management is the key in the complex donation process.Donor management goals,which are standards of care or clinical parameters,have been considered an acceptable barometer...BACKGROUND In brain death donors(BDDs),donor management is the key in the complex donation process.Donor management goals,which are standards of care or clinical parameters,have been considered an acceptable barometer of successful donor management.AIM To test the hypothesis that aetiology of brain death could influence haemodynamic management in BDDs.METHODS Haemodynamic data(blood pressure,heart rate,central venous pressure,lactate,urine output,and vasoactive drugs)of BDDs were recorded on intensive care unit(ICU)admission and during the 6-h observation period(Time 1 at the beginning;Time 2 at the end).RESULTS The study population was divided into three groups according to the aetiology of brain death:Stroke(n=71),traumatic brain injury(n=48),and postanoxic encephalopathy(n=19).On ICU admission,BDDs with postanoxic encephalopathy showed the lowest values of systolic and diastolic blood pressure associated with higher values of heart rate and lactate and a higher need of norepinephrine and other vasoactive drugs.At the beginning of the 6-h period(Time 1),BDDs with postanoxic encephalopathy showed higher values of heart rate,lactate,and central venous pressure together with a higher need of other vasoactive drugs.CONCLUSION According to our data,haemodynamic management of BDDs is affected by the aetiology of brain death.BDDs with postanoxic encephalopathy have higher requirements for norepinephrine and other vasoactive drugs.展开更多
目的通过Meta分析,综合分析运动后心率恢复(HRR)与心源性猝死(SCD)之间的关系。方法基于PubMed、Embase和Web of Science数据库,进行截至2024年1月2日的文献检索。队列研究关注于HRR和SCD间的风险关系,通过风险比(HR)及95%可信区间(CI)...目的通过Meta分析,综合分析运动后心率恢复(HRR)与心源性猝死(SCD)之间的关系。方法基于PubMed、Embase和Web of Science数据库,进行截至2024年1月2日的文献检索。队列研究关注于HRR和SCD间的风险关系,通过风险比(HR)及95%可信区间(CI)进行评估。统计学分析采用Stata 12.0软件。结果纳入6项研究。固定效应模型(I^(2)=41.8%,P=0.112)的汇总结果显示:与心率恢复慢相比,心率恢复快人群发生SCD风险更低(HR=0.74,95%CI:0.64~0.86,P<0.001)。大多数亚组分析中都观察到了持续结果。排除一项研究并不影响总体结果[HR(95%CI):0.66(0.55,0.79)~0.76(0.65,0.88)]。Egger检验未发现明显的发表偏倚(P=0.059)。结论心率恢复较慢会增加普通人群发生SCD的风险。因此,HRR可能是临床实践中预防SCD的一个潜在靶点。展开更多
This study explores the complex relationship between climate change and human development. The aim is to understand how climate change affects human development across countries, regions, and the global population. Vi...This study explores the complex relationship between climate change and human development. The aim is to understand how climate change affects human development across countries, regions, and the global population. Visual analytics were used to examine the impact of various climate change indicators on different aspects of human development. The study highlights the urgent need for climate change action and encourages policymakers to make decisive moves. Climate change adversely affects numerous aspects of daily life, leading to significant consequences that must be addressed through policy changes and global governance recommendations. Key findings include that regions with higher CO2 emissions experience a significantly higher incidence of life-threatening diseases compared to regions with lower emissions. Additionally, higher CO2 emissions correlate with consistent death rates. Increased pollution exposure is associated with a higher prevalence of life-threatening diseases and higher rates of malnutrition. Moreover, greater mineral depletion is linked to more frequent life-threatening diseases, suggesting that industrialization contributes to adverse health effects. These results provide valuable insights for policy and decision-making aimed at mitigating the impact of climate change on human development.展开更多
文摘BACKGROUND The combination of programmed cell death protein-1(PD-1)inhibitor and che-motherapy is approved as a standard first-or second-line treatment in patients with advanced oesophageal or gastric cancer.However,it is unclear whether this combination is superior to chemotherapy alone.AIM To assess the comparative effectiveness and tolerability of combining PD-1 inhibitors with chemotherapy vs chemotherapy alone in patients with advanced gastric cancer,gastroesophageal junction(GEJ)cancer,or oesophageal carcinoma.METHODS We searched the PubMed and Embase databases for studies that compared the efficacy and tolerance of PD-1 inhibitors in combination with chemotherapy vs chemotherapy alone in patients with advanced oesophageal or gastric cancer.We employed either random or fixed models to analyze the outcomes of each clinical trial,en-compassing data on overall survival(OS),progression-free survival(PFS),objective response rate,and adverse events(AEs).RESULTS Nine phase 3 clinical trials(7016 advanced oesophageal and gastric cancer patients)met the inclusion criteria.Our meta-analysis demonstrated that the pooled PD-1 inhibitor+chemotherapy group had a significantly longer OS than the chemotherapy-alone group[hazard ratio(HR)=0.76,95%confidence interval(CI):0.71-0.81];the pooled PFS result was consistent with that of OS(HR=0.67,95%CI:0.61-0.74).The count of patients achieving an objective response in the PD-1 inhibitor+chemotherapy group surpassed that of the chemotherapy-alone group[odds ratio(OR)=1.86,95%CI:1.59-2.18].AE incidence was also higher in the combination-therapy group than in the chemotherapy-alone group,regardless of whether≥grade 3 only(OR=1.30,95%CI:1.07-1.57)or all AE grades(OR=1.88,95%CI:1.39-2.54)were examined.We performed a subgroup analysis based on the programmed death-ligand 1(PD-L1)combined positive score(CPS)and noted extended OS and PFS durations within the CPS≥1,CPS≥5,and CPS≥10 subgroups of the PD-1 inhibitor+chemotherapy group.CONCLUSION In contrast to chemotherapy alone,the combination of PD-1 inhibitor and chemotherapy appears to present a more favorable option for initial or subsequent treatment in patients with gastric cancer,GEJ tumor,or oesophageal cancer.This holds true particularly for individuals with PD-L1 CPS scores of≥5 and≥10.
基金ThisprojectwassupportedbyagrantfromtheNational"TheNinthFive YearPlan"ScienceandTechnologyKeyProjectofChina (No .96 9110 70 2 0 4 )
文摘Grey system analysis method was used to study the correlation between water pollution in D Lake area and death rate of malignancy with death rate of malignancy as effect sequence and a variety of water pollution index as factor sequence. On the basis of grey correlation analysis, grey system predication model was established for death rate of malignancy in population in D Lake area including GM (1, N) model for death rate of malignancy [ MR (t+1) =(9.9987E 1+5.0001E 2 +10.8994E 3+1.1114E 4+165.1029) ·e -0.0070t -9.9987E 1-5.0001E 2-10.8994E 3-1.1114E 4 ] and GM (1, 1) model for related factors [ E 1(t+1) =52.1214-46.9468e -0.0058t , E 2(t+1) =4.6114-4.5664e 0.0015t, E 3(t+1) =1.1389-1.1212e 0.0065t , E 4(t+1) = 554.5867-549.8006e 0.0016t ], and the trend of death rate of malignancy from 2000 to 2010 was predicted.
基金The Fundamental Research Funds for the Central Universities,CHD (300102129202)the NSF (11701041) of China+1 种基金the Natural Science Basic Research Plan (2018JM1011) in Shaanxi Province of ChinaScientific Innovation Practice Project (300103002110) of Postgraduates of Chang’an University
文摘In this paper, we propose an SIRS epidemic model with pulse vaccination, birth pulse and Logistic death rate. By using the stroboscopic map of a discrete dynamical system, the disease-free periodic solution (DFPS for short) of the model under pulse vaccination and birth pulse is obtained. Based on the Floquet theory and comparison theorem of impulsive differential equations, the global asymptotic stability of the DFPS is given, and sufficient conditions for the permanence of the model are obtained. In addition, numerical simulations are done to confirm our theoretical results.
基金supported by National Natural Science Foundation of China under Grant Nos. 10775104 and 10305009
文摘We propose a monomer birth-death model with random removals, in which an aggregate of size k can produce a new monomer at a time-dependent rate I(t)k or lose one monomer at a rate J(t)k, and with a probability P(t) an aggregate of any size is randomly removed. We then anedytically investigate the kinetic evolution of the model by means of the rate equation. The results show that the scaling behavior of the aggregate size distribution is dependent crucially on the net birth rate I(t) - J(t) as well as the birth rate I(t). The aggregate size distribution can approach a standard or modified scaling form in some cases, but it may take a scale-free form in other cases. Moreover, the species can survive finally only if either I(t) - J(t) ≥ P(t) or [J(t) + P(t) - I(t)]t ≈ 0 at t ≥ 1; otherwise, it will become extinct.
文摘Introduction: On March 11, 2020, the World Health Organization (WHO) declared that the entire World was overrun by a pandemic. Science has managed, in a short time, to characterize a new disease, sequence a new viral genome, develop diagnostics, produce treatment protocols and establish the efficacy of drugs and vaccines in randomized controlled trials. In this paper we have dealt with different topics regarding the pandemic linked to COVID-19. Objectives: Aim of this paper is to compare the number of deaths attributable to COVID-19, that occurred in the different Italian macro-areas, in the different pandemic waves;we studied the trend of the curves relating to the proportion of deaths to the number of infected in the Italian macro-areas for the pandemic waves and analysed the mortality data, focusing on the Italian context and comparing it with other foreign countries. We examined the data regarding swabs, hospitalizations, home isolation, admissions to intensive care and deaths registered in pandemic period. Results: Geographically, Italy was differently affected by the pandemic. Northern Italy was the most affected area. In comparison with some foreign countries, Italy is one of the nations that paid the most in terms of deaths, due to: delays in understanding the seriousness of the emergency;the slow management in the tracking systems of contagions;the high number of hospitalizations;a corporate organizational system poorly planned. Conclusion: The years 2020 and 2021 have been dramatic and unprecedented. The year 2021 was the year of redemption, where, despite social, economic and health difficulties, thanks to mass vaccination, we were able to give a real strong response to the pandemic. Trust in science has led to a drastic decrease in mortality throughout the world.
文摘BACKGROUND In brain death donors(BDDs),donor management is the key in the complex donation process.Donor management goals,which are standards of care or clinical parameters,have been considered an acceptable barometer of successful donor management.AIM To test the hypothesis that aetiology of brain death could influence haemodynamic management in BDDs.METHODS Haemodynamic data(blood pressure,heart rate,central venous pressure,lactate,urine output,and vasoactive drugs)of BDDs were recorded on intensive care unit(ICU)admission and during the 6-h observation period(Time 1 at the beginning;Time 2 at the end).RESULTS The study population was divided into three groups according to the aetiology of brain death:Stroke(n=71),traumatic brain injury(n=48),and postanoxic encephalopathy(n=19).On ICU admission,BDDs with postanoxic encephalopathy showed the lowest values of systolic and diastolic blood pressure associated with higher values of heart rate and lactate and a higher need of norepinephrine and other vasoactive drugs.At the beginning of the 6-h period(Time 1),BDDs with postanoxic encephalopathy showed higher values of heart rate,lactate,and central venous pressure together with a higher need of other vasoactive drugs.CONCLUSION According to our data,haemodynamic management of BDDs is affected by the aetiology of brain death.BDDs with postanoxic encephalopathy have higher requirements for norepinephrine and other vasoactive drugs.
文摘目的通过Meta分析,综合分析运动后心率恢复(HRR)与心源性猝死(SCD)之间的关系。方法基于PubMed、Embase和Web of Science数据库,进行截至2024年1月2日的文献检索。队列研究关注于HRR和SCD间的风险关系,通过风险比(HR)及95%可信区间(CI)进行评估。统计学分析采用Stata 12.0软件。结果纳入6项研究。固定效应模型(I^(2)=41.8%,P=0.112)的汇总结果显示:与心率恢复慢相比,心率恢复快人群发生SCD风险更低(HR=0.74,95%CI:0.64~0.86,P<0.001)。大多数亚组分析中都观察到了持续结果。排除一项研究并不影响总体结果[HR(95%CI):0.66(0.55,0.79)~0.76(0.65,0.88)]。Egger检验未发现明显的发表偏倚(P=0.059)。结论心率恢复较慢会增加普通人群发生SCD的风险。因此,HRR可能是临床实践中预防SCD的一个潜在靶点。
文摘This study explores the complex relationship between climate change and human development. The aim is to understand how climate change affects human development across countries, regions, and the global population. Visual analytics were used to examine the impact of various climate change indicators on different aspects of human development. The study highlights the urgent need for climate change action and encourages policymakers to make decisive moves. Climate change adversely affects numerous aspects of daily life, leading to significant consequences that must be addressed through policy changes and global governance recommendations. Key findings include that regions with higher CO2 emissions experience a significantly higher incidence of life-threatening diseases compared to regions with lower emissions. Additionally, higher CO2 emissions correlate with consistent death rates. Increased pollution exposure is associated with a higher prevalence of life-threatening diseases and higher rates of malnutrition. Moreover, greater mineral depletion is linked to more frequent life-threatening diseases, suggesting that industrialization contributes to adverse health effects. These results provide valuable insights for policy and decision-making aimed at mitigating the impact of climate change on human development.