1.Analysis of community colorectal cancer screening in 50-74 years old people in Guangzhou, 2015-2016.
Y LI ; H Z LIU ; Y R LIANG ; G Z LIN ; K LI ; H DONG ; H XU ; M WANG
Chinese Journal of Epidemiology 2018;39(1):81-85
Objective: To analyze the effect of colorectal cancer screening in the general population in Guangzhou, and provide evidence for the for development of colorectal cancer screening policy and strategy. Methods: The data of colorectal cancer screening in Guangzhou during 2015- 2016 were collected. The participation, the positive rate of fecal occult blood test, the detection rate of colonoscopy and screening effect of colonoscopy were evaluated. Results: A total of 220 834 residents aged 50-74 years received the screening, and the positive rate of the screening was 16.77% (37 040 cases). Colonoscopy was performed for 7 821 cases (21.12%). Colorectal lesions were found in 4 126 cases (52.76%), of which 614 (7.85%) and 73 (0.93%) and 230 (2.94%) were identified as advanced adenoma, severe dysplasia lesions and colorectal cancers, respectively. The detection rates of all colorectal lesions were higher in men than in women (all P<0.01). The diagnostic rate of early lesion was 87.24%, and 99 early cancer cases were found, accounting for 46.26% of the total cases. The overall screening detection rate of colorectal cancer was 104.15/100 000, higher than the incidence rate (81.18/100 000) in colorectal cancer surveillance (P<0.001), but age group <70 years had higher detection rate, age group ≥70 years had higher incidence rate. Conclusions: The colorectal cancer screening strategy in Guangzhou is effective in the detection of the population at high risk, increase the detection rate of colorectal lesions, early diagnosis rate of precancerous lesions and diagnosis rate of early colorectal cancer. The benefit in those aged ≤69 years was more obvious than that in those aged 70-74 years. It is necessary to improve the compliancy of colorectal cancer screening in population at high risk.
Adenoma/prevention & control*
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Aged
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China/epidemiology*
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Colonoscopy/statistics & numerical data*
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Colorectal Neoplasms/prevention & control*
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Early Detection of Cancer/methods*
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Female
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Humans
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Immunochemistry
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Male
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Mass Screening/statistics & numerical data*
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Middle Aged
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Occult Blood
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Predictive Value of Tests
2.Willingness and influencing factors related to "centralized slaughtering, fresh poultry listing and marketing" strategy among the household chefs in Guangzhou.
W H LIU ; Y MA ; J Y LU ; H C YAN ; J H ZHOU ; X L LIAO ; J H ZENG ; W Q LIN ; D WU ; Z B ZHANG ; Z C YANG ; Z Q CHEN ; J D CHEN ; T G LI
Chinese Journal of Epidemiology 2018;39(2):204-207
Objective: To study the willingness and influence factors related to "centralized slaughtering, fresh poultry listing and marketing" strategy, among the household chefs, and provide reference for government to adjust and optimize the strategy on avian influenza prevention. Methods: According to the geographical characteristics and regional functions, 6 'monitoring stations' were selected from 12 residential districts of Guangzhou, respectively. Another 21 meat markets which selling live poultry, were selected in each station and 5 household chefs of each market were invited to attend a face to face interview. Basic information, personal cognitive, willingness and influencing factors to the policy were under study. Univariate and multivariate logistic regression methods were used. Results: A total of 664 household chefs underwent the survey and results showed that the rate of support to the "centralized slaughtering, fresh poultry listing and marketing" strategy was 44.6% (296/664). Results from the multi-factor logistic regression showed that those household chefs who were males (OR=1.618, 95% CI: 1.156-2.264, P=0.005), having received higher education (OR=1.814, 95% CI: 1.296-2.539, P=0.001), or believing that the existence of live poultry stalls was related to the transmission of avian influenza (OR=1.918, 95% CI: 1.341-2.743, P<0.001) were factors at higher risk. These household chefs also intended to avoid the use of live poultry stalls (OR=1.666, 95%CI: 1.203-2.309, P=0.002) and accept the "centralized slaughtering, fresh poultry listing and marketing" strategy. Conclusion: Detailed study on this subject and, setting up pilot project in some areas as well as prioritizing the education programs for household chefs seemed helpful to the implementation of the 'freezing-fresh poultry' policy.
Animals
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Attitude to Health
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China
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Humans
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Influenza A Virus, H7N9 Subtype
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Influenza in Birds
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Influenza, Human/prevention & control*
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Male
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Marketing
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Meat-Packing Industry
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Multivariate Analysis
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Pilot Projects
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Poultry/virology*
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Surveys and Questionnaires
3.Development and validation of a prognostic prediction model for patients with stage Ⅰ to Ⅲ colon cancer incorporating high-risk pathological features.
K X LI ; Q B WU ; F Q ZHAO ; J L ZHANG ; S L LUO ; S D HU ; B WU ; H L LI ; G L LIN ; H Z QIU ; J Y LU ; L XU ; Z WANG ; X H DU ; L KANG ; X WANG ; Z Q WANG ; Q LIU ; Y XIAO
Chinese Journal of Surgery 2023;61(9):753-759
Objective: To examine a predictive model that incorporating high risk pathological factors for the prognosis of stage Ⅰ to Ⅲ colon cancer. Methods: This study retrospectively collected clinicopathological information and survival outcomes of stage Ⅰ~Ⅲ colon cancer patients who underwent curative surgery in 7 tertiary hospitals in China from January 1, 2016 to December 31, 2017. A total of 1 650 patients were enrolled, aged (M(IQR)) 62 (18) years (range: 14 to 100). There were 963 males and 687 females. The median follow-up period was 51 months. The Cox proportional hazardous regression model was utilized to select high-risk pathological factors, establish the nomogram and scoring system. The Bootstrap resampling method was utilized for internal validation of the model, the concordance index (C-index) was used to assess discrimination and calibration curves were presented to assess model calibration. The Kaplan-Meier method was used to plot survival curves after risk grouping, and Cox regression was used to compare disease-free survival between subgroups. Results: Age (HR=1.020, 95%CI: 1.008 to 1.033, P=0.001), T stage (T3:HR=1.995,95%CI:1.062 to 3.750,P=0.032;T4:HR=4.196, 95%CI: 2.188 to 8.045, P<0.01), N stage (N1: HR=1.834, 95%CI: 1.307 to 2.574, P<0.01; N2: HR=3.970, 95%CI: 2.724 to 5.787, P<0.01) and number of lymph nodes examined (≥36: HR=0.438, 95%CI: 0.242 to 0.790, P=0.006) were independently associated with disease-free survival. The C-index of the scoring model (model 1) based on age, T stage, N stage, and dichotomous variables of the lymph nodes examined (<12 and ≥12) was 0.723, and the C-index of the scoring model (model 2) based on age, T stage, N stage, and multi-categorical variables of the lymph nodes examined (<12, 12 to <24, 24 to <36, and ≥36) was 0.726. A scoring system was established based on age, T stage, N stage, and multi-categorical variables of lymph nodes examined, the 3-year DFS of the low-risk (≤1), middle-risk (2 to 4) and high-risk (≥5) group were 96.3% (n=711), 89.0% (n=626) and 71.4% (n=313), respectively. Statistically significant difference was observed among groups (P<0.01). Conclusions: The number of lymph nodes examined was an independent prognostic factor for disease-free survival after curative surgery in patients with stage Ⅰ to Ⅲ colon cancer. Incorporating the number of lymph nodes examined as a multi-categorical variable into the T and N staging system could improve prognostic predictive validity.
Male
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Female
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Humans
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Prognosis
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Neoplasm Staging
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Retrospective Studies
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Nomograms
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Lymph Nodes/pathology*
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Risk Factors
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Colonic Neoplasms/surgery*
4.Predictive value of MRI pelvic measurements for "difficult pelvis" during total mesorectal excision.
Z SUN ; W Y HOU ; J J LIU ; H D XUE ; P R XU ; B WU ; G L LIN ; L XU ; J Y LU ; Y XIAO
Chinese Journal of Gastrointestinal Surgery 2022;25(12):1089-1097
Objective: Total mesorectal resection (TME) is difficult to perform for rectal cancer patients with anatomical confines of the pelvis or thick mesorectal fat. This study aimed to evaluate the ability of pelvic dimensions to predict the difficulty of TME, and establish a nomogram for predicting its difficulty. Methods: The inclusion criteria for this retrospective study were as follows: (1) tumor within 15 cm of the anal verge; (2) rectal cancer confirmed by preoperative pathological examination; (3) adequate preoperative MRI data; (4) depth of tumor invasion T1-4a; and (5) grade of surgical difficulty available. Patients who had undergone non-TME surgery were excluded. A total of 88 patients with rectal cancer who underwent TME between March 2019 and November 2021 were eligible for this study. The system for scaling difficulty was as follows: Grade I, easy procedure, no difficulties; Grade II, difficult procedure, but no impact on specimen quality (complete TME); Grade III, difficult procedure, with a slight impact on specimen quality (near-complete TME); Grade IV: very difficult procedure, with remarkable impact on specimen quality (incomplete TME). We classified Grades I-II as no surgical difficulty and grades III-IV as surgical difficulty. Pelvic parameters included pelvic inlet length, anteroposterior length of the mid-pelvis, pelvic outlet length, pubic tubercle height, sacral length, sacral depth, distance from the pubis to the pelvic floor, anterior pelvic depth, interspinous distance, and inter-tuberosity distance. Univariate and multivariate logistic regression analyses were performed to identify the factors associated with the difficulty of TME, and a nomogram predicting the difficulty of the procedure was established. Results: The study cohort comprised 88 patients, 30 (34.1%) of whom were classified as having undergone difficult procedures and 58 (65.9%) non-difficult procedures. The median age was 64 years (56-70), 51 patients were male and 64 received neoadjuvant therapy. The median pelvic inlet length, anteroposterior length of the mid-pelvis, pelvic outlet length, pubic tubercle height, sacral length, sacral depth, distance from the pubis to the pelvic floor, anterior pelvic depth, interspinous distance, and inter-tuberosity distance were 12.0 cm, 11.0 cm, 8.6 cm, 4.9 cm, 12.6 cm, 3.7 cm, 3.0 cm, 13.3 cm, 10.2 cm, and 12.2 cm, respectively. Multivariable analyses showed that preoperative chemoradiotherapy (OR=4.97,95% CI: 1.25-19.71, P=0.023), distance between the tumor and the anal verge (OR=1.31, 95% CI: 1.02-1.67, P=0.035) and pubic tubercle height (OR=3.36, 95% CI: 1.56-7.25, P=0.002) were associated with surgical difficulty. We then built and validated a predictive nomogram based on the above three variables (AUC = 0.795, 95%CI: 0.696-0.895). Conclusion: Our research demonstrated that our system for scaling surgical difficulty of TME is useful and practical. Preoperative chemoradiotherapy, distance between tumor and anal verge, and pubic tubercle height are risk factors for surgical difficulty. These data may aid surgeons in planning appropriate surgical procedures.
Humans
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Male
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Middle Aged
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Female
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Retrospective Studies
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Laparoscopy/methods*
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Pelvis/pathology*
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Rectal Neoplasms/pathology*
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Magnetic Resonance Imaging
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Treatment Outcome
5.Seasonal distribution of patient hospitalization due to asthma exacerbation in 7 geographic areas in China.
J T LIN ; B XING ; H P TANG ; L YANG ; Y D YUAN ; Y H GU ; P CHEN ; X J LIU ; J ZHANG ; H G LIU ; C Z WANG ; W ZHOU ; D J SUN ; Y Q CHEN ; Z C CHEN ; M HUANG ; Q C LIN ; C P HU ; X H YANG ; J M HUO ; X W YE ; X ZHOU ; P JIANG ; W ZHANG ; Y J HUANG ; L M DAI ; R Y LIU ; S X CAI ; J Y XU ; J Y ZHOU
Chinese Journal of Epidemiology 2018;39(11):1477-1481
Objective: To understand the seasonal distribution of patient hospitalization due to asthma exacerbation in 7 geographic areas in China. Methods: This was a retrospective study which involved patients hospitalized for asthma exacerbation in 29 hospitals throughout 7 geographic areas in the mainland of China (northeast, north, central, east, south, northwest and southwest). The numbers of asthmatic patients and total inpatients of the respiratory department of each hospital were recorded. The monthly ratio of asthmatic patients to the total inpatients in every area was calculated and compared. Results: During the study period, 6 480 patients were admitted for asthma exacerbation, accounting for 3.14% of all the 206 135 patients admitted to the respiratory departments in the 29 hospitals. The ratio of asthmatic patients to total inpatients in the northeast area (5.61%) was highest, and the ratio in east area was lowest (1.97%). Statistical analysis showed that the difference among different areas was significant (P<0.000 1). In most areas, both the number and proportion of hospitalized asthmatic patients peaked in spring (February-April) and autumn (September-October). In the northeast area, east area and south area, the peaks in spring were more obvious, while in the north area and southwest area, the peaks in autumn were more obvious. In the northwest area the peaks occurred in winter (December-January) and summer (June-August), respectively. The differences in hospitalization due to asthma among different months were significant in the northeast, north, and southwest areas (P<0.005). Conclusion: The number of patients hospitalized for asthma exacerbation fluctuated with season in different areas in China. In most areas, more asthmatic patients were admitted to hospitals in spring and autumn.
Asthma
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China/epidemiology*
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Hospitalization/statistics & numerical data*
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Humans
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Retrospective Studies
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Seasons