Objective To summarize primary clinical data from Xiao Tang Shan Hospital (XTSH) Information System, to provide evidence for clinical data of emerging diseases. Method The primary data were extracted from XTSH information system, which related to demographic and background information, case history, prescriptions, laboratory tests, physical examination, vital sign, surgery, diagnostics and expenditures. The software for data verification was developed by Delphi language program. The information of SARS management was developed by Oracle Developer. Results XTSH information system for SARS management collected 1.09 million pieces of information covering 680 SARS cases. The database was functionally divided into inquiry window, conditional case list window and case details spread window, which provided information of SARS management and shaped a platform for further investigation. Quality control of clinical data was done by the software of SARS Information Real Control.Conclusions XTSH information system collected complete data of SARS management, which made healthcare, research and policy-making on SARS accessible, and made it possible to share resources and train the professionals.
ObjectiveTo evaluate the efficacy of multicycle neoadjuvant chemotherapy combined with apatinib in the treatment of advanced rectal cancer through the Database from Colorectal Cancer (DACCA).MethodsA total of 173 patients with advanced rectal cancer who underwent surgery after 2–4 cycles of neoadjuvant chemotherapy combined with apatinib were selected from the DACCA (Version January 20, 2019). The patients were grouped by treated cycle and clinical TNM (cTNM) stage, and the overall variation of clinical and pathological indicators before and after treatment were compared.ResultsAmong 173 cases, 63 cases (36.42%), 45 cases (26.01%), and 65 cases (37.57%) were respectively in the 2, 3, and 4-cycle group; 54 cases (31.21%), 91 cases (52.60%), and 28 cases (16.18%) in stage Ⅱ, Ⅲ, and Ⅳ-group. Clinical response degree: complete pathologic response (cPR) was observed in 23 cases (13.29%), and the rate of conversion resection was 100% (173/173). Clinical response grade: complete response (CR) in 58 cases (33.53%), partial response (PR) in 93 cases (53.76%), stable disease (SD) in 21 cases (12.14%), progressive disease (PD) in 1 cases (0.58%). Tumor regression grade: TRG0 in 21 cases (12.57%), TRG1 in 22 cases (13.17%), TRG2 in 84 cases (50.30%), TRG3 in 40 cases (23.95%). There was a statistical difference in CEA before and after the treatment (P<0.001). All cases underwent radical resection, and the successful rate of transformed resection was 100%. There was significant difference on the clinical response grade among the cases of different treatment cycle (H=18.513, P<0.001), and the longer treatment cycle was correlated with better clinical response (G=–0.474, P<0.001). In addition, there was significant difference on the cPR rate among the cases of different cTNM stage (χ2=6.450, P=0.040).ConclusionsMulticycle neoadjuvant chemotherapy combined with apatinib in treating patients with advanced rectal cancer is efficient. More treatment cycles lead to better efficacy. The lower cTNM stage maybe means more chance of achieving cPR and a satisfactory rate of conversion resection.
ObjectiveTo analyze the relation between the place of residence of patients with colorectal cancer (CRC) and patient compliance or regimen decision-making or outcomes for neoadjuvant therapy (NAT) in the current version of the Database from Colorectal Cancer (DACCA). MethodsThe version of DACCA selected for this analysis was updated on June 29, 2022. The patients were enrolled according to the established screening criteria and then assigned into inside and outside of Sichuan Province groups as well as inside and outside of Chengdu City groups. The differences in the patient compliance or regimen decision-making or outcomes (changes of symptom and imaging, and cancer marker carcinoembryonic antigen) for NAT were analyzed. ResultsA total of 3 574 data that met the screened criteria were enrolled, 3 142 (87.91%) and 432 (12.09%) were inside of Sichuan Province group and outside of Sichuan Province group, respectively; 1 340 (42.65%) and 1 802 (57.35%) were inside of Chengdu City group and outside of Chengdu City group in Sichuan Province, respectively. ① The constituent ratios of the patient compliance for NAT had no statistical differences between the inside and outside of Sichuan Province groups (χ2=0.299, P=0.585) as well as between the inside and outside of Chengdu City groups (χ2=3.109, P=0.078). ② In terms of the impact of the place of residence on the decision-making of NAT: For the patients with targeted therapy or not, there was a statistical difference between the inside and outside of Sichuan Province groups (χ2=5.047, P=0.025), but which had no statistical difference between the inside and outside of Chengdu City groups (χ2=0.091, P=0.762); For the patients with radiotherapy or not, there were no statistical differences in the constituent ratios of patients between the inside and outside of Sichuan Province groups as well as between the inside and outside of Chengdu City groups (χ2=2.215, P=0.137; χ2=2.964, P=0.085); For the neoadjuvant intensity, there was a statistical difference between the inside and outside of Sichuan Province groups (χ2=12.472, P=0.002), but which had no statistical difference between the inside and outside of Chengdu City groups (χ2=2.488, P=0.288). ③ The outcomes for NAT: The changes of carcinoembryonic antigen had no statistical differences between the inside and outside of Sichuan Province groups as well as between the inside and outside of Chengdu City groups (H=1.762, P=0.184; H=3.531, P=0.060); In the symptom changes, there was a statistical difference between the inside and outside of Sichuan Province groups (χ2=3.896, P=0.048), which had no statistical difference between the inside and outside of Chengdu City groups (χ2=0.016, P=0.900); In the image changes, the difference was statistically significant between the inside and outside of Chengdu City groups (χ2=7.975, P=0.005), but which had no statistical difference between the inside and outside of Sichuan Province groups (χ2=0.063, P=0.802). ConclusionsThrough data analysis in DACCA in this study, it is found that there are no statistical differences in compliance and carcinoembryonic antigen changes. However, decision-making of NAT for patients of inside and outside of Sichuan Province has different choices on whether to assist targeted therapy and chemotherapy intensity for NAT; Symptom changes of NAT in patients of inside of Sichuan Province has a better effect than in patients of outside of Sichuan Province; Imaging change of NAT in patients of inside of Chengdu City has a better effect than in patients of outside of Chengdu City.
ObjectiveTo analyze differences in postoperative pathological stage characteristics of colorectal cancer (CRC) patients with different marital status in Database from Colorectal Cancer (DACCA). MethodsAccording to the established screening conditions, the patients were collected from the updated version of DACCA on January 23, 2023, and then assigned into three categories according to marital status: married, unmarried, widowed or divorced patients. The differences in postoperative pathological staging, peripheral nerve involvement, pathological tumor regression grade (TRG), cancer nodules, and high-risk factors among the CRC patients with different marital statuses were analyzed. ResultsA total of 6 947 data matching the screening criteria were collected, including 113 unmarried patients (1.6%), 6 315 married patients (90.9%), and 519 divorced or widowed patients (7.5%). The analysis results showed that the pathological TNM staging (Ⅰ–Ⅳ staging: H=19.030, P<0.001;Ⅰ+Ⅱ and Ⅲ+Ⅳ staging: χ2=19.124, P<0.001), pathological T staging (H=7.147, P=0.028), and high-risk factors grading (H=10.246, P=0.006) had statistical differences. The trend presented that the proportions of the patients with earlier pathological TNM staging and T staging (Ⅰor T1 staging) in the married patients were the highest among the 3 marital statuses patients, and the proportions of the later staging (Ⅳ or T4 staging) were the lowest in the married patients. The same trend was found in the high-risk factors grading. However, there were no statistical differences in other pathological features such as peripheral nerve involvement, pathological TRG, and cancer nodules among the CRC patients with 3 marital statuses (P>0.05). ConclusionsThrough data analysis in DACCA, it is found that CRC patients with different marital statuses exhibit certain differences in postoperative pathological stage characteristics, especially in terms of pathological TNM staging, pathological T staging, and high-risk factor grading. However, this conclusion needs to be objectively regarded. From a statistical perspective, the samples size of patients with 3 marital statuses in this study is different. In the future, further analysis can be conducted by balancing the samples size on this basis. From a clinical perspective, there may be more influencing factors, so objective analysis should be conducted after eliminating interference factors one by one.
ObjectiveTo build core items of database for traumatic brain injury (TBI) in rehabilitation medical database.MethodsRelevant factors in TBI database were summarized through database search in combination of acknowledged relevant items of TBI in rehabilitation medical database. Delphi method was used for experts to determine which items should be included by two rounds of questionnaires.ResultsThe average authority coefficient of experts was 0.94. After two rounds of questionnaires, 73 were included. Its contents include: general conditions, brain damage and disposal, relevant rehabilitation assessment scales, previous rehabilitation treatment, treatment expenses, and contents that require attention during re-evaluation.ConclusionsAfter two rounds of Delphi evaluation, the core items of database for TBI are identified with high recognition and consistency from experts.
ObjectiveTo analyze the distribution, prognostic differences, and characteristics of patients with colorectal cancer (CRC) from 2007 to 2022 based on the current version of the Database from Colorectal Cancer (DACCA), so as to provide a basis for clinical decision-making. MethodsThe eligible CRC patients based on the established screening criteria from the updated DACCA were collected. The distribution and survival status of CRC patients in different residence places were analyzed. The residence places included 21 cities (prefectures) within Sichuan Province. ResultsA total of 5 416 cases that met the screening criteria from 2007 to 2022 were collected. Among these, CRC patients were predominantly concentrated in Chengdu (44.77%), Meishan (5.78%), and Nanchong (4.56%) cities. A heatmap depicting the superimposed trend of CRC patients origins revealed the distribution of patients was basically divided into eastern and western regions along the axis of “Mianyang–Chengdu–Yaan cities”. The majority of patients (5 359 cases, 98.95%) was distributed in the eastern region, while a few in the western region (57 cases, 1.05%). The patients in the eastern region were more high clustered (especially Chengdu city), while those in the western region was sporadically dispersed, and the patients in the western region increased slowly without aggregation. The 1, 3, and 5-year cumulative overall survival rates of the CRC patients in the DACCA were 96.2%, 89.7%, and 85.1%, respectively. The multivariate Cox proportional hazards regression model showed that the male, age ≥35-year old, adenocarcinoma (mucinous adenocarcinoma as a reference), poorly differentiated degree, pTNM stages Ⅲ and Ⅳ, obstruction, and perforation were the risk factors for median overall survival shortening in the CRC patients (all P<0.05). The survival curve of patients with CRC drawn by Kaplan-Meier method showed that the overall survival of CRC patients in different cities (prefectures) had no statistical differences as compared with the integral CRC patients (P>0.05), except for Neijiang city (was worse than that of the integral CRC patients, P<0.05). ConclusionsBased on data analysis for the DACCA from 2007 to 2022, the majority of CRC patients clusters in the eastern region. Chengdu city exhibits a high clustering, while the western region shows a sporadic distribution without aggregation phenomena. It is found that the cumulative overall survival of CRC patients in Neijiang city is worse than that of the integral CRC patients, while which in the other cities (prefectures) was relatively close to that of the integral CRC patients in Sichuan Province.
Objective To help systematic reviewers select the best Chinese biomedical databases to retrieve relevant trials in Chinese according to comparison of coverage, search feature, English search capabilities, and so on. Methods Four Chinese biomedical databases (CBM, CNKI, VIP and WANFANG) were selected. Data about coverage, search features, records downloading, and presence or lack of English search capabilities were found through their websites. The deadline for data collection was at the end of April 2010. Based on the data collected, the number of journals back to the inaugural issue and indexed cover-to-cover were calculated. Results The average of the indexed journals in 4 databases was about 1 200; the indexed articles were about 4.92 million, and the averages of backdate rate and entire collection rate were 29% and 48%, respectively. CBM indexed fewer articles than CNKI (5 673 316 vs. 5 834 952), but indexed the most journals (1 784, 91%). It provides MeSH searching and more terms than other databases, and has an output of the tagged texts up to 500 records per file. CNKI and WANFANG provide English interfaces, which is convenient for English searching, and CNKI has a function of "Cross-Language Search", which automatically translates English into Chinese. Conclusion CBM is the preferred database for systematic reviewers to retrieve relevant studies in Chinese, while CNKI is recommended for non-Chinese-speaking researchers due to its English interface and “Cross-Language Search” function.
Objective To establish a predictive model for long-term tumor-specific survival after surgery for patients with intermediate to advanced medullary thyroid cancer (MTC) based on American Joint Committee on Cancer (AJCC) TNM staging, by using the Surveillance, Epidemiology, and End Results (SEER) Database. Methods The data of 692 patients with intermediate to advanced MTC who underwent total thyroidectomy and cervical lymph node dissection registered in the SEER database during 2004–2017 were extracted and screened, and were randomly divided into 484 cases in the modeling group and 208 cases in the validation group according to 7∶3. Cox proportional hazard regression was used to screen predictors of tumor-specific survival after surgery for intermediate to advanced stage MTC and to develop a Nomogram model. The accuracy and usefulness of the model were tested by using the consistency index (C-index), calibration curve, time-dependent ROC curve and decision curve analysis (DSA). Results In the modeling group, the multivariate Cox proportional hazard regression model indicated that the factors affecting tumor-specific survival after surgery in patients with intermediate to advanced MTC were AJCC TNM staging, age, lymph node ratio (LNR), and tumor diameter, and the Nomogram model was developed based on these results. The modeling group had a C-index of 0.827 and its area under the 5-year and 10-year time-dependent ROC curves were 0.865 [95%CI (0.817, 0.913)], 0.845 [95%CI (0.787, 0.904)], respectively, and the validation group had a C-index of 0.866 and its area under the 5-year and 10-year time-dependent ROC curves were 0.866 [95%CI (0.798, 0.935)] and 0.923 [95%CI (0.863, 0.983)], respectively. Good agreement between the model-predicted 5- and 10-year tumor-specific survival rates and the actual 5- and 10-year tumor-specific survival rates were showed in both the modeling and validation groups. Based on the DCA curve, the new model based on AJCC TNM staging was developed with a significant advantage over the former model containing only AJCC TNM staging in terms of net benefits obtained by patients at 5 years and 10 years after surgery. Conclusion The prognostic model based on AJCC TNM staging for predicting tumor-specific survival after surgery for intermediate to advanced MTC established in this study has good predictive effect and practicality, which can help guide personalized, precise and comprehensive treatment decisions and can be used in clinical practice.
ObjectiveTo understand the relation between the occupation and long-term prognosis of the patients with colorectal cancer (CRC) based on the Database from Colorectal Cancer (DACCA). MethodsThe selected updated DACCA database as of June 29, 2022 was used for this study. The included patients were assigned into intellectual occupations group (intellectual group) and manual occupations group (manual group) referring to relevant regulatory documents in China. The survival status of the intellectual group and the manual group was compared, and then were stratified by pTNM stage. ResultsA total of 1 974 patients were included from the DACCA database according to the selection criteria, 349 of whom in the intellectual group and 1 625 of whom in the manual group. The intellectual group had higher 5-year cumulative overall survival rate (92.1% vs. 84.5%, P<0.001) and disease-specific survival rate (92.1% vs. 85.8%, P=0.002), as well as higher 10-year cumulative overall survival rate (72.4% vs. 55.2%, P<0.001) and disease-specific survival rate (75.4% vs. 59.1%, P<0.001) compared to the manual group. The stratified analysis by pTNM stage found that, for the patients with pTNM Ⅲ stage, the 5- and 10-year cumulative overall survival rates of the intellectual group were higher than those of the manual group (94.0% vs. 82.3%, P<0.001; 67.1% vs. 43.7%, P=0.014), simultaneous the 5- and 10-year cumulative disease-specific survival rates were the same as the overall survival rate (94.0% vs. 83.5%, P=0.001; 69.5% vs. 47.9%, P=0.026). Furthermore for the the patients with pTNM Ⅱ stage , it was found that the the 10-year cumulative disease-specific survival rate of the intellectual group was higher than that of the manual group (93.5% vs. 78.7%, P=0.009).ConclusionsFrom the analysis results of this study, occupation might be related to long-term prognosis in CRC cancer patients. A general trend is that the long-term prognosis of patients with intellectual occupations might be better than that of patients with manual occupations, and this difference might be relatively marked in the patients with pTNM Ⅱ and Ⅲ stages, but it needs to be autious and objective.
To describe the construction and application of clinical evidence database of traditional Chinese medicine (TCM-CED) so as to provide evidence for TCM research. The construction process primarily includes: expert team building, TCM-CED function module design, evidence collection and quality control. The applications of TCM-CED primarily include the following aspects: automatic generation of systematic review/meta-analysis in TCM, automatic generation of evidence reports on dominant diseases of TCM, automatic generation of evidence index of Chinese patent medicine, optimizing the selection of outcomes in TCM research, tracking methodological and reporting quality of TCM research, and promoting international dissemination of TCM evidence. With the rapid development of information technology and artificial intelligence, TCM-CED will be combined with artificial intelligence to achieve the construction of all-dimensional TCM evidence chain and the automation of the whole process.