Objective To compare the association of the incidence and mortality of leukemia and the human development index(HDI)in different countries or regions in 2022,and the trend of leukemia incidence and mortality with age in countries with different HDI levels.Methods GLOBOCAN 2022 data related to leukemia incidence and mortality in different countries or regions worldwide and HDI were evaluated by Pearson correlation analysis and Kruskal-Wallis test.The incidence and mortality rates of each age and the age change trend were analyzed using the Joinpoint Regression model.Results Age-standardized incidence rate(ASIR),age-standardized mortality rate(ASMR),and mortality to incidence ratio(M/I)were statistically significantly different among the four groups of HDI countries(P<0.001).HDI was positively correlated with ASIR and ASMR and negatively correlated with M/I.Among all ages,ASIR and ASMR of leukemia of the four groups had similar trends with age,and the risk of leukemia was high at ages less than 15 and more than 40.The incidence of leukemia in all age groups in China differed from those in other countries with high HDI,while the mortality rate was lower than those in other countries with high HDI.Conclusion Countries or regions with higher HDI have higher ASIR and ASMR and lower M/I because of their better medical condition.

Abstract: Chronic infection of hepatitis B virus (HBV) is the major cause of hepatocellular carcinoma (HCC) in China. The occurrence of HCC through chronic inflammation follows the Darwinian evolutionary law, known as "mutation-selection-adaptation". Inflammatory mutagenic molecules promote the generation of somatic mutations, and the most mutant cells are eliminated by inflammatory microenvironment. However, a minority of mutant cells survive the selective pressure and develop to tumor initial cells by activating oncogenic signaling pathway and acquiring "stemness" characteristics. Alongside this process, HBV also evolves under the pressure of inflammatory microenvironment, which is characterized by the accumulation of cancer-promoting viral mutations, reducing the ability to infect new individuals. The high-risk mutant strains are eliminated with the death of hosts, leading to a phenomenon termed as "dead-end evolution". HBV evolution contributes to cancer evolution by maintaining the inflammatory microenvironment, activating oncogenic pathways, inducing somatic cell mutations, and altering metabolic patterns. The combo mutations of HBV and HBV integrations can be applied to predict the occurrence and prognosis of HCC. Anti-viral treatment reduces the risk of HCC by relieving inflammation. This article reviews the molecular epidemiological evidence and mechanistic advances related to the co-evolution of HBV and HCC. Clarifying the co-evolutionary pattern of virus and cancer and the key molecular events involved, is beneficial for identifying new biomarkers and therapeutic targets, thus improving the prevention and treatment strategies for HCC.

Hepatocellular carcinoma (HCC) is a kind of primary liver cancer with a high mortality rate. In China, the incidence ratio in males to females with HCC is 2:1–5:1. The difference in sex hormone pathways between males and females and the interaction between androgen/androgen receptors and HBV can lead to an incidence difference between males and females with HCC. Hence, the androgen/androgen receptor oncogenic pathway in hepatocellular carcinoma has received considerable attention. This review mainly summarizes the recent research progress on the androgen/androgen receptor oncogenic pathway in hepatocellular carcinoma.

Statistics plays an important role in medical research， and the selection of appropriate statistical methods is crucial for drawing reliable and valuable conclusions. This paper provides a brief introduction to commonly used statistical analysis methods for medical data， covering descriptive analysis， parametric test， nonparametric test， correlation analysis， regression analysis， and analysis of survival data. It focuses on discussing the assumptions of multiple linear regression， logistic regression and Cox proportional risk regression， as well as how to choose the appropriate statistical methods for analyzing and interpreting medical data based on different research objectives and data types.

Clinical research reports serve as the presentation of scientific research findings and directly reflect the quality of the research. This article describes the writing of different types of clinical research reports， such as observational studies and randomized controlled trial studies， with a particular focus on randomized controlled trials. Each scientific research design has its reporting focus， and the writing of scientific research papers has uniform requirements and a specific writing format. Mastering the proper format of drafting research reports is of practical value and significant importance for conduction high-quality clinical research.

To establish a disease risk prediction model based on genetic susceptibility genes and environmental risk factors， which can target high-risk population as early as possible， and intervene in the environmental risk factors in this population. Moreover， accurate screening of genetically susceptible populations can enhance the efficiency of health system. In recent years， with the maturation and cost reduction of high-throughput gene testing， gene testing has been widely used in individual clinical decision-making and will play a more important role in medical and health decision-making. The correlation between genetic testing and disease risk prediction is increasing， making it a prominent research topic in this field. This review summarizes the approaches for establishing and evaluating risk prediction models and discusses potential future challenges and opportunities.

When facing two or more choices， sound decision-making is critical. In the field of clinical medical practice and public health， more and more researchers use decision-making analysis as an important tool to assist in making the optimal choices. Public health emergencies have the characteristics of group cases， sudden and uncertain. In addition to causing serious damage to public health， they may also have varying degrees of impact on socio-economic， psychological and even social stability. At present， we have not seen the application of mature and sound decision analysis in public health emergency response. This paper reviewed the development of decision analysis in the medical field and the application of common decision-making models in clinical practice. Combined with the current situation of global infectious disease outbreaks and prevention and control， this paper puts forward the concepts and prospects of establishing an auxiliary decision-making system for public health emergencies， aiming to provide a scientific method for medical and health workers to respond to public health emergencies.

The severe acute respiratory syndrome coronavirus 2 （SARS-CoV-2） and its variants are still globally spreading. Vaccines can reduce the mortality， but cannot eliminate the risk of infection. The identification and protection of the high-risk susceptible population remains of great importance for the prevention and control of SARS-CoV2 and other coronavirus infections. Smoking is an important risk factor for many respiratory diseases， and therefore may also influence the risk of SARS-CoV2 infection and the disease progression after infection. This study reviewed the epidemiological and mechanistic evidence supporting the relationship between tobacco exposure and SARS-CoV2 infection， summarized the contributing effects of tobacco exposure to the infection risk， disease severity， and mortality of COVID-19， and analyzed the molecular mechanisms by which cigarette smoking affects COVID-19 through regulating inflammatory microenvironment and gene expression.

Hepatocellular carcinoma （HCC） has emerged as a significant public health concern， posing a serious threat to the lives and health of residents in China. Furthermore， the incidence and mortality rates of HCC are notably higher in males than in females. Androgen receptors （AR） can contribute to the occurrence of male-specific cancers such as prostate cancer， suggesting a potential link to the increased susceptibility of males to HCC. Elucidating the cancer-promoting mechanism of AR and developing specific targeted interventions are effective ways to advance tertiary prevention of HCC and improve patient prognosis. This paper reviews the relevant evidence of AR’s role in promoting the occurrence and development of HCC， summarizes relevant mechanisms discovered to date， including promoting the stemness of HCC cells， altering the immune microenvironment， regulating key signaling pathways， inducing glycolysis in hepatocellular carcinoma， and synergizing with hepatitis B virus to promote HCC. Additionally， research directions for targeted interventions in HCC through AR-related signaling pathways are discussed.

ObjectiveTo identify causal factors of a case of severe Chlamydia psittaci pneumonia in Yangpu District and provide a scientific basis for effective prevention and control. MethodsBasic information and epidemiological data of the patient were collected through telephone interviews and field epidemiological surveys. Specimens from the patient， close contacts and the environment were collected for pathogen detection. Metagenomics next-generation sequencing （mNGS） was used to identify unknown pathogens. ResultsA 65-year-old male patient with a history of hypertension and diabetes was admitted to the hospital with symptoms of fatigue， poor appetite for a week， fever and cough for four days. A chest computer tomography （CT） scan showed scattered inflammation in the left lung with infiltration of multiple lobes. Blood gas analysis showed type I respiratory failure. The results of mNGS on the bronchoalveolar lavage fluid of the patient indicated that he was infected with Chlamydia psittaci. Epidemiological investigation showed a clear history of avian exposure， with an incubation period of 30 days. ConclusionThis serious pneumonia is a zoonotic disease caused by Chlamydia psittaci. A clear history of avian exposure and the use of mNGS technology can help in the timely diagnosis of this disease.