Malignant tumors can be prevented, controlled, and cured. We could reduce the mortality of malignant tumor and improve prognosis of patients through screening and early detection and therapy. The prevention and control of malignant tumors in general population attach importance in China and series of blueprints and policies have been launched since last half a century. We have achieved remarkable progress in screening and early detection and therapy of malignant tumors with great support from government. We highlight the milestones of screening and early detection and therapy of malignant tumors in China and the organization and management of current national programs. We focus on the overview of eight malignant tumors included in current national screening programs. We summarize high quality evidence of screening of neoplasia in China. We reveal issues and challenges encountered in the practice currently and envisage where should we go in future for screening and early detection and therapy of tumors in China. We will further improve capacity of screening and early detection and therapy of tumor and promote action of prevention and control of tumor through implementation of policy of government leading, multiple cooperation, and involvement of whole society based on the guideline of prioritizing prevention, combining prevention and therapy, shifting forward of early detection, allocating the resource in low-income areas.

Malignant tumors can be prevented, controlled, and cured. We could reduce the mortality of malignant tumor and improve prognosis of patients through screening and early detection and therapy. The prevention and control of malignant tumors in general population attach importance in China and series of blueprints and policies have been launched since last half a century. We have achieved remarkable progress in screening and early detection and therapy of malignant tumors with great support from government. We highlight the milestones of screening and early detection and therapy of malignant tumors in China and the organization and management of current national programs. We focus on the overview of eight malignant tumors included in current national screening programs. We summarize high quality evidence of screening of neoplasia in China. We reveal issues and challenges encountered in the practice currently and envisage where should we go in future for screening and early detection and therapy of tumors in China. We will further improve capacity of screening and early detection and therapy of tumor and promote action of prevention and control of tumor through implementation of policy of government leading, multiple cooperation, and involvement of whole society based on the guideline of prioritizing prevention, combining prevention and therapy, shifting forward of early detection, allocating the resource in low-income areas.

Objective:To evaluate the associations of exposures in early-life with the risk of colorectal cancer(CRC)using the UK Biobank(UKB)data.Methods:A total of 462 253 participants from the UKB were included in this analysis.For each subject,self-reported exposures in early-life from the baseline data collected in 2006-2010,which included maternal smoking,single or multiple birth,birth weight,breastfeed as baby,comparative body size and height at age 10,relative age of first facial hair(for males)and age at menarche(for females),were extracted.The incident cases of CRC and all-cause deaths during the follow-up period up to December 31,2021 were further obtained.COX proportional hazards regression models were applied to evaluate the hazard ratio(HR)and 95%confidence interval(CI)of early-life exposures with the risk of CRC after adjusting for age,gender,race family history of CRC,body mass index,family income,and education level at baseline.Results:After adjustment for potential confounding,high birth weight(>4 kg),breastfeed as baby,comparative height at 10(shorter)and relative age at first facial hair(later)were associated with the risk of CRC,with an HR(95%CI)of 1.14(1.03-1.25),1.33(1.24-1.43),0.92(0.85-0.98)and 0.80(0.76-0.95),respectively.Several associations were found to be modified by lifestyle factors in adulthood.Conclusion:Our results indicated that the exposures in early-life,especially during adolescence,may contribute to the development of CRC.These results help to better understand the etiology and mechanisms of CRC,and provide evidence for decision making in CRC prevention.

Objective:To evaluate the associations of exposures in early-life with the risk of colorectal cancer(CRC)using the UK Biobank(UKB)data.Methods:A total of 462 253 participants from the UKB were included in this analysis.For each subject,self-reported exposures in early-life from the baseline data collected in 2006-2010,which included maternal smoking,single or multiple birth,birth weight,breastfeed as baby,comparative body size and height at age 10,relative age of first facial hair(for males)and age at menarche(for females),were extracted.The incident cases of CRC and all-cause deaths during the follow-up period up to December 31,2021 were further obtained.COX proportional hazards regression models were applied to evaluate the hazard ratio(HR)and 95%confidence interval(CI)of early-life exposures with the risk of CRC after adjusting for age,gender,race family history of CRC,body mass index,family income,and education level at baseline.Results:After adjustment for potential confounding,high birth weight(>4 kg),breastfeed as baby,comparative height at 10(shorter)and relative age at first facial hair(later)were associated with the risk of CRC,with an HR(95%CI)of 1.14(1.03-1.25),1.33(1.24-1.43),0.92(0.85-0.98)and 0.80(0.76-0.95),respectively.Several associations were found to be modified by lifestyle factors in adulthood.Conclusion:Our results indicated that the exposures in early-life,especially during adolescence,may contribute to the development of CRC.These results help to better understand the etiology and mechanisms of CRC,and provide evidence for decision making in CRC prevention.

Here, we took base construction of neurosurgery as example to discuss and analyze according to requirements and evaluation indexes of base construction in Xinqiao Hospital, and put forward the specific objectives, measures and implementations of base construction. Foremost, we summarized experiences and overcame shortcomings through interpreting and implementing scheme of our base construction, which would help to improve the construction of standardized residency training base in China.

Objective:To systematically understand the global research progress in the construction and validation of lung cancer risk prediction models.Methods:"lung neoplasms" , "lung cancer" , "lung carcinoma" , "lung tumor" , "risk" , "malignancy" , "carcinogenesis" , "prediction" , "assessment" , "model" , "tool" , "score" , "paradigm" , and "algorithm" were used as search keywords. Original articles were systematically searched from Chinese databases (CNKI, and Wanfang) and English databases (PubMed, Embase, Cochrane, and Web of Science) published prior to December 2018. The language of studies was restricted to Chinese and English. The inclusion criteria were human oriented studies with complete information for model development, validation and evaluation. The exclusion criteria were informal publications such as conference abstracts, Chinese dissertation papers, and research materials such as reviews, letters, and news reports. A total of 33 papers involving 27 models were included. The population characteristics of all included studies, study design, predicting factors and the performance of models were analyzed and compared.Results:Among 27 models, the number of American-based, European-based and Asian-based model studies was 12, 6 and 9, respectively. In addition, there were 6 Chinese-based model studies. According to the factors fitted into the models, these studies could be divided into traditional epidemiological models (11 studies), clinical index models (6 studies), and genetic index models (10 studies). 15 models were not validated after construction or were cross-validated only in the internal population, and the extrapolation effect of models was not effectively evaluated; 8 models were validated in single external population; only 4 models were verified in multiple external populations (3-7); the area under the curve (AUC) of models ranged from 0.57 to 0.90.Conclusion:Research on risk prediction models for lung cancer is in development stage. In addition to the lack of external validation of existing models, the exploration of potential clinical indicators was also limited.

Objective:To develop a lung cancer risk prediction model for female non-smokers.Methods:Based on the Kailuan prospective dynamic cohort (2006.05-2015.12), a nested case-control study was conducted. Participants diagnosed with primary pathologically confirmed lung cancer during follow-up were identified as the case group, and others were identified as the control group. A total of 24 701 subjects were included in the study, including 86 lung cancer cases and 24 615 control population, respectively. Questionnaires, physical examinations, and laboratory tests were conducted to collect relevant information. Multivariable-adjusted logistic regressions were conducted to develop a lung cancer risk prediction model. Area Under the Curve (AUC) and Hosmer-Lemeshow tests were used to evaluate discrimination and calibration, respectively. Ten-fold cross-validation was used for internal validation.Results:Two sets of models were developed: the simple model (including age and monthly income) and the metabolic index model [including age, monthly income, fasting blood glucose (FBG), total cholesterol (TC) and high-density lipoprotein cholesterol (HDL-C)].The AUC (95%CI) [0.745 (0.719-0.771)] of the metabolic index model was higher than that of the simple prediction model [0.688 (0.660-0.716)] ( P=0.004). Both the simple model ( PHL=0.287) and the metabolic index model ( PHL=0.134) were well-calibrated. The results of ten-fold cross-validation indicated sufficient stability, with an average AUC of 0.699 and a standard error (SD) of 0.010. Conclusion:By incorporating metabolic markers, accurate and reliable lung cancer risk prediction model for female non smokers could be developed.

Objective:To systematically understand the global research progress in the construction and validation of lung cancer risk prediction models.Methods:"lung neoplasms" , "lung cancer" , "lung carcinoma" , "lung tumor" , "risk" , "malignancy" , "carcinogenesis" , "prediction" , "assessment" , "model" , "tool" , "score" , "paradigm" , and "algorithm" were used as search keywords. Original articles were systematically searched from Chinese databases (CNKI, and Wanfang) and English databases (PubMed, Embase, Cochrane, and Web of Science) published prior to December 2018. The language of studies was restricted to Chinese and English. The inclusion criteria were human oriented studies with complete information for model development, validation and evaluation. The exclusion criteria were informal publications such as conference abstracts, Chinese dissertation papers, and research materials such as reviews, letters, and news reports. A total of 33 papers involving 27 models were included. The population characteristics of all included studies, study design, predicting factors and the performance of models were analyzed and compared.Results:Among 27 models, the number of American-based, European-based and Asian-based model studies was 12, 6 and 9, respectively. In addition, there were 6 Chinese-based model studies. According to the factors fitted into the models, these studies could be divided into traditional epidemiological models (11 studies), clinical index models (6 studies), and genetic index models (10 studies). 15 models were not validated after construction or were cross-validated only in the internal population, and the extrapolation effect of models was not effectively evaluated; 8 models were validated in single external population; only 4 models were verified in multiple external populations (3-7); the area under the curve (AUC) of models ranged from 0.57 to 0.90.Conclusion:Research on risk prediction models for lung cancer is in development stage. In addition to the lack of external validation of existing models, the exploration of potential clinical indicators was also limited.

Objective:To develop a lung cancer risk prediction model for female non-smokers.Methods:Based on the Kailuan prospective dynamic cohort (2006.05-2015.12), a nested case-control study was conducted. Participants diagnosed with primary pathologically confirmed lung cancer during follow-up were identified as the case group, and others were identified as the control group. A total of 24 701 subjects were included in the study, including 86 lung cancer cases and 24 615 control population, respectively. Questionnaires, physical examinations, and laboratory tests were conducted to collect relevant information. Multivariable-adjusted logistic regressions were conducted to develop a lung cancer risk prediction model. Area Under the Curve (AUC) and Hosmer-Lemeshow tests were used to evaluate discrimination and calibration, respectively. Ten-fold cross-validation was used for internal validation.Results:Two sets of models were developed: the simple model (including age and monthly income) and the metabolic index model [including age, monthly income, fasting blood glucose (FBG), total cholesterol (TC) and high-density lipoprotein cholesterol (HDL-C)].The AUC (95%CI) [0.745 (0.719-0.771)] of the metabolic index model was higher than that of the simple prediction model [0.688 (0.660-0.716)] ( P=0.004). Both the simple model ( PHL=0.287) and the metabolic index model ( PHL=0.134) were well-calibrated. The results of ten-fold cross-validation indicated sufficient stability, with an average AUC of 0.699 and a standard error (SD) of 0.010. Conclusion:By incorporating metabolic markers, accurate and reliable lung cancer risk prediction model for female non smokers could be developed.

Objective To compara the postoperative pain and foreign body sensation in patients with inguinal hernia treated by laparoscopic transabdominal preperitoneal (TAPP) and open transinguinal preperitoneal (TIPP).Methods Retrospective analysis of clinical data of 180 patients with inguinal hernia admitted to the Daxing District People's Hospital of Capital Medical University from January 2016 to January 2018,male 158 cases,female 22 cases,average age 56 years old,age range 23-80 years old.Including 110 patients in the TAPP group and 70 patients in the TIPP group,patients in the TAPP group were treated with laparoscopic TAPP,and patients in the TIPP group were treated with open TIPP.Pain degree was assessed with pain visual analogue scale (VAS) postoperatively at 3 weeks,3 months and 6 months.The incidence of chronic pain was measured at 3 weeks,3 months,and 6 months after surgery,and the incidence of foreign body sensation at 3 months was recorded.Measurement data were expressed as mean ± standard deviation (Mean ± SD),t test was used for comparison between groups;Chi-square test was used for compare the count data between groups.Results At 3 weeks,3 months,and 6 months after surgery,the mean value of pain VAS in the TAPP group was lowerthan in the TIPP group [(0.07 ± 0.40) scores vs (0.37 ± 0.94) scores,(0.03 ± 0.16) scores vs (0.24 ± 0.69) scores,(0.01 ± 0.10) scores vs (0.14 ± 046) scores],and the difference was statistically significant (P =0.004,0.002,0.004).The incidence of pain in the TAPP group was 3.6％,2.7％,and 0.9％ at 3 weeks,3 months,and 6 months after surgery,respectively.The incidence of pain in the TIPP group was 14.3％,11.4％,and 10.0％,respectively.The difference was statistically significant (P =0.021,0.040,0.012).At 3 months postoperatively,there were 2 cases (1.8％) in the TAPP group and 12 cases (17.1％) in the TIPP group with the foreign body sensation.The difference between the two groups was statistically significant (x2 =14.006,P =0.000).Conclusion Compared with the open TIPP,the laparoscopic TAPP is used to repair the inguinal hemia,The postoperative pain is milder,and the incidence of chronic pain and foreign body sensation was lower.