ObjectiveTo elaborate constitute, definition, and interpretation of operative characteristics of colorectal cancer in the Database from Colorectal Cancer (DACCA) in the West China Hospital.MethodThe article was described in the words.ResultsIn the DACCA, the operative characteristics module of colorectal cancer mainly included five parts: surgical characteristics, surgical methods, operative skills in details, surgical difficulties, and surgical quality evaluation. Then the surgical characteristics were detailed for their definition, form, label and structure, error correction and update, and how to be used in the analysis of data in the DACCA.ConclusionsThrough detailed description and speci-fication of surgical characteristics of colorectal cancer in DACCA in West China Hospital, it can provide a reference for standar-dized treatment of colorectal cancer and also provide experiences for the peers who wish to build a colorectal cancer database.
ObjectiveTo describe the characteristics of colorectal cancer surgical procedures in the West China Colorectal Cancer Database (Database from Colorectal Cancer, DACCA).MethodWe used the form of text description.ResultsThe related content modules of DACCA operation in West China, included operative type, radical resection level, anus preservation, stoma type, the date of closure, surgical approach, expansive resection, intersphincteric resection (ISR), etc. were elaborated. The data label related method corresponding to each item in the database and the structured method required in the corresponding big data application stage were elaborated, and the error correction precautions of all classified items were described.ConclusionsIn the DACCA database, there are more detailed classification for the radical treatment of colorectal cancer. The application of expanded surgery is of great significance for both colon cancer and rectal cancer; stoma-related data has diversified data characteristics, which will provides standards and basis for clinical application of DACCA, and also provides experience reference for other colleagues who want to build colorectal cancer database.
ObjectiveTo analyze the relation between age and postoperative pathological features of patients with colorectal cancer from Database from Colorectal Cancerr （DACCA）. MethodsThe data in DACCA were updated on January 5, 2022. The patients were selected from DACCA according to the established screening conditions, then were divided into ≤35, 35–59, and ≥60 years old groups. The differences of postoperative pathological （p） TNM （pTNM）, pT, pN, pM stages, perineural invasion （PNI）, high-risk factors grade, and tumor regression grade （TRG） among the three age groups were analyzed, and the correlation between them was analyzed. ResultsAfter screening, 5 628 data rows were enrolled, of whom 196 patients were <35 years old, 2 382 patients were 35–59 years old, and 3 050 patients were >59 years old. Statistical analysis showed that: ① There were statistical differences in the proportions of pN stage, PNI, and high-risk factors grade in the patients of different age groups （H=27.867, P<0.001; H=6.248, P=0.044; H=19.712, P<0.001, respectively）; However, it was not found that there were statistical differences in the proportions of pTNM, pT, pM stages, and TRG after neoadjuvant therapy among different age patients （H=0.920, P=0.631; H=4.923, P=0.085; H=2.272, P=0.321; H=2.337, P=0.311, respectively）. The Spearman correlation analysis results showed that there was a weakly negative correlation between the age and pN stage or grade of high-risk factors （rs=–0.070, P<0.001; rs=–0.067, P<0.001, respectively） and a weakly positive correlation between age and TRG after neoadjuvant therapy （rs=0.100, P=0.009）. ConclusionDACCA data analysis finds that patients of different age groups shows a negative correlation trend with pN stage or grade of high-risk factors and a positive correlation trend with TRG, which needs to be further verified.
Objective To analyze the influence of the age of colorectal cancer patients served by West China Hospital as a regional center on hospitalization process in the current version of Database from Colorectal Cancer (DACCA). Methods The DACCA version was updated on January 5, 2022. All data items analyzed included age, date of admission, date of operation, date of discharge, pre-operation time, post-operation time, total hospital stay and management process. Data were assigned to three groups according to age with ≤45, 46–64 and ≥65 years old. Results After scanning, 8 013 data rows were obtained, from 2005 to 2022. The patients’ ages ranged from 14 to 104 years old, and were (58.01±13.52) years old in average. The results showed that the relationship between age and post-operative time was not statistically related (P>0.05). However, the pre-operative time (P=0.001) and total hospital stay time (P=0.005) were positively correlated with the age of colorectal cancer patients. The pre-operation time was longer in the older-aged group (P=0.021). Youth group had longer total hospital stay than other groups (P=0.028). Additionally, there was significant difference in the management process of colorectal cancer patients of different age groups (χ2=32.824, P＜0.05), but in terms of each process management classification, patients in different age groups had the same choice tendency as the overall choice, with “routine” management accounting for the largest proportion. “ERAS (enhanced recovery after surgery)” management was in the second place. Conclusions This study showed that the age group of patients with colorectal cancer has a certain influence on the length of hospital stay. Older patients have longer pre-operation time, but the effect of age on the total length of hospital stay still remains to be discussed. The composition of clinical management process varies among different age groups, and the elderly patients received the highest proportion of “ERAS” management process.
Objection To analyze the relationship between blood type and prognosis of colorectal cancer patients in the Database from Colorectal Cancer (DACCA). Methods The DACCA version selected for this data analysis was updated on January 5, 2022. The data items analysis included age, gender, blood type, tumor location, tumor pathological nature, pathological TNM (pTNM) stage, survival status and survival time. According to the ABO blood type classification, it was divided into four blood type groups: A blood type group, B blood type group, AB blood type group, and O blood type group. The overall survival (OS) and disease specific survival (DSS) were analyzed in four blood type groups, and the OS and DSS of each blood type group were analyzed in pTNM stage stratification. Results A total of3 486 rows of data were obtained from the DACCA database according to the screening conditions. There was no significantdifference in OS and DSS among blood typy A, B, AB and O group (P>0.05); At specific time points, the 1-year OS of the blood type A group was worse than that of blood type B (95.8% vs. 99.6%), the 1-year OS of the blood type B group was better than that of blood type O group (99.6% vs. 96.9%), and the differences were statistically significant (P<0.008 7), but the differences between OS and DSS in the remaining 1, 3, 5 and 10 years of patients with different blood type groups were not statistically significant (P>0.008 7). In each pTNM staging subgroup, the differences between 1, 3, 5 and 10-year OS and DSS were not statistically significant among different blood type groups (P>0.008 7). Conclusions Overall, there was no significant difference in prognosis among the blood type A, B, AB, and O groups. Comparing specific blood types and follow-up time, patients with blood type B have slightly better 1-year OS than patients with blood type A or blood type O. Comparisons between other ABO blood groups and between ABO blood groups classified by the pTNM staging subgroup did not show a difference.
ObjectiveTo analyze the relation between the age of patients with colorectal cancer and neoadjuvant therapy (NAT) regimen decision-making and outcomes in the current version of the Database from Colorectal Cancer (DACCA). MethodsThe version of DACCA selected for this analysis was updated on January 5, 2022. The patients were enrolled according to the established screening criteria and then assigned to 3 age groups: ≤45, 45–65, and ≥65 years old groups. The differences in the NAT regimen decision-making and changes of symptom, imaging, and cancer markers in these 3 age groups were analyzed. ResultsA total of 4 882 data that met the screened criteria were enrolled. The results of statistical analysis showed that the difference in the constituent ratio of patients chosen NAT strategies among 3 age groups was not statistically significant (χ2=8.885, P=0.180). There was a statistical difference in the constituent ratio of patients chosen combined target drug among 3 age groups (χ2=8.530, P=0.014), it was found that the proportion of the patients with ≤45 years old adopting combined target drug regimen was higher. Although the changes of symptom (H=12.299, P=0.056), image (H=1.775, P=0.412), and cancer markers (H=11.351, P=0.183) had no statistical differences of the 3 age groups after NAT, it was found that the proportions of patients with ≥65 years old with progresses of symptom and imaging changes and elevated cancer markers after NAT were higher, and the proportions of patients with ≤45 years old with complete and partial remissions of symptom and imaging changes and with normal cancer markers after NAT were higher. ConclusionsThrough analysis of DACCA data, it is found that in the selection of NAT strategy for colorectal cancer, the lower age group, the higher proportion of patients adopting combined target drug regimen. Although it is not found that age is related to changes of symptoms, imaging, and cancer markers after NAT, it still shows a trend of better outcomes in younger patients.