ObjectiveTo analyze the details and efficacy of neoadjuvant therapy of colorectal cancer in the current version of Database from Colorectal Cancer (DACCA).MethodsThe DACCA version selected for this data analysis was the updated version on July 28th, 2020. The data items included “planned strategy of neoadjuvant therapy” “compliance of neoadjuvant therapy”, and “cycles of neoadjuvant therapy”. Item of “planned strategy of neoadjuvant therapy” included “accuracy of neoadjuvant therapy” and “once included in researches”. Item of “the intensity of neoadjuvant therapy” included “chemotherapy” “cycles of neoadjuvant therapy” “targeted drugs”, and “neoadjuvant radiotherapy”. Item of “effect of neoadjuvant therapy” included CEA value of “pre-neoadjuvant therapy” and “post-neoadjuvant therapy”“variation of tumor markers” “variation of symptom” “variation of gross” “variation of radiography”, and tumor regression grade (TRG). The selected data items were statistically analyzed.ResultsThe total number of medical records (data rows) that met the criteria was 7 513, including 2 539 (33.8%) valid data on the “accuracy of neoadjuvant therapy”, 498 (6.6%) valid data on “once included in researches”, 637 (8.5%) valid data on the “compliance of neoadjuvant therapy”, 2 077 (27.6%) valid data on “neoadjuvant chemotherapy”, 614 (8.2%) valid data on “cycles of neoadjuvant therapy”, 455 (6.1%) valid data on “targeted drugs”, 135 (1.8%) valid data on “neoadjuvant radiotherapy”, 5 022 (66.8%) valid data on “pre-neoadjuvant therapy CEA value”, 818 (10.9%) valid data on “post-neoadjuvant therapy CEA value ”, 614 (8.2%) valid data on “variation of tumor marker”, 464 (6.2%) valid data on “variation of symptom”, 478 (6.4%) valid data on “variation of gross”, 492 (6.5%) valid data on “variation of radiography”, and 459 (6.1%) valid data on TRG. During the correlation analysis, it appeared that “variation of tumor marker” and “variation of gross” (χ2=6.26, P=0.02), “variation of symptom” and “variation of gross”, “radiography” and TRG (χ2=53.71, P<0.01; χ2=38.41, P<0.01; χ2=8.68, P<0.01), “variation of gross” and “variation of radiography”, and TRG (χ2=44.41, P<0.01; χ2=100.37, P<0.01), “variation of radiography” and TRG (χ2=31.52, P<0.01) were related with each other.ConclusionsThe protocol choosing of neoadjuvant therapy has a room for further research and DACCA can provide data support for those who is willing to perform neoadjuvant therapy. The efficacy indicators of neoadjuvant therapy have association with each other, the better understand of it will provide more valuable information for the establishment of therapeutic prediction model.
ObjectiveTo analyze the characteristics of colorectal cancer surgery in the current version of Database from Colorectal Cancer (DACCA).MethodsThe DACCA version selected for this data analysis was the updated version on July 16th, 2020. The data items included operative duration, anatomy (anatomical difficulty), pelvis (pelvic stenosis), obesity (abdominal obesity), adhesion (adhesion in surgical area), mesentery (abnormal mesenteric status), hypertrophy (tissue hypertrophy or organ hypertrophy), intestinal quality, death (risk of death), injury (risk of tissue injury), recurrence (tumor recurrence), metastasis (tumor metastasis), anastomotic leakage (risk of anastomotic leakage), difficulty of operation, prognosis, quality of operation. The selected data items were statistically analyzed.ResultsThetotal number of medical records (data rows) that met the criteria was 6 116. Spearman correlation text showed a negative correlation between operative duration and years (rs=–0.433, P<0.001). In anatomy, pelvis, obesity, adhesion, mesentery, and hypertrophy, the most cases were “normal or basically normal”, and the percentages were 32.55%, 44.52%, 48.68%, 55.79%, 53.36%, and 57.72%, respectively. In quality of intestinal, the highest proportion was “bad” (43.25%). In risk of death, risk of tissue injury, and tumor recurrence, the most cases were “very small”, and the percentages were 69.00%, 94.41%, and 68.21%, respectively. In tumor metastasis, risk of anastomotic leakage, difficulty of operation, prognosis, and quality of operation, the highest proportion were “small” (48.58%), “average” (49.25%), “average” (32.96%), “uncertain” (45.65%), and “very good” (39.85%).ConclusionsIn the DACCA, the intestinal quality is characteristic of difficulty in operation, and in the evaluation of operation quality, the judgment of anastomotic leakage deserves much more attention. However, the relationship between the difficulty of operation and postoperative effects, and the relationship between the quality of operation and the prognosis still need to be further studied.
ObjectiveTo describe the constructive process of neoadjuvant therapy for colorectal cancer part in the West China Colorectal Cancer Database (DACCA).MethodWe used the form of text description.ResultsThe specific concept of neoadjuvant therapy for colorectal cancer including neoadjuvant treatment therapies, compliance of patients with neoadjuvant therapy, neoadjuvant therapy intensity scheme, the CEA value of patients during neoadjuvant therapy, changes of symptoms, changes of primary tumor size in colorectal cancer, and TRG grading of the DACCA in the West China Hospital were defined. Then the neoadjuvant therapies were detailed for their definition, label, structure, error correction, and update.ConclusionThrough detailed description and specification of neoadjuvant therapy for colorectal cancer in DACCA in West China Hospital, it can provide a reference for the standardized treatment of colorectal cancer and also provide experiences for the peers who wish to build a colorectal cancer database.
ObjectiveTo explain surgical and medical comorbidities and preoperative physical status of colorectal cancer in detail as well as their tags and structures of Database from Colorectal Cancer (DACCA) in West China Hospital.MethodThe article was described in words.ResultsThe definition to the surgical comorbidities with its related content module, the medical comorbidity with its related content modules, and the preoperative physical status and characteristics of the DACCA in West China Hospital were given. The data label corresponding to each item in the database and the structured way needed for the big data application stage in detail were explained. And the error correction notes for all classification items were described.ConclusionsThrough the detailed description of the medical and surgical comorbidities and the preoperative physical status of DACCA in West China Hospital, it provides the standard and basis for the clinical application of DACCA in the future, and provides reference for other peers who wish to build a colorectal cancer database.
ObjectiveTo analyze the risks and complications after operation of colorectal cancer in the current version of Database from Colorectal Cancer (DACCA).MethodsThe DACCA version selected for this data analysis was the updated version on July 28th, 2020. The data items included surgery reaction, body temperature, flatus, pain and mental status; preoperative complication, postoperative complication, short-term and long-term complication. The selected data items were statistically analyzed.ResultsThe total number of medical records (data rows) that met the criteria was 6 422, including 4 185 (65.2%) valid data on surgery reaction, 3 833 (59.7%) valid data on body temperature, 3 835 (59.7%) valid data on flatus, 3 597 (56.0%) valid data on pain, 3 551 (55.3%) valid data on mental status, 6 422 (100%) valid data on preoperative complications, postoperative complications, short-term complications and long-term complications. In the surgical response, 1 517 (36.2%) lines of data showed “normal” structure were the most. Among the days with elevated body temperature, the number of 0-day data lines with the structure of “body temperature >37.5 ℃” was the highest, with 1 980 (51.7%). In postoperative flatus, there were 1 675 (43.7%) data lines with the structure showing “3 days”. The largest number of rows (2 755, 76.6%) showed a structure that was “not obvious” in the pain scale. The mental status showed the highest number of “better” rows (2 976, 83.8%). There were 50 preoperative complications (0.8%). And 595 postoperative complications (9.3%), including anastomotic leakage (80, 13.4%), inflammatory ileus (62, 10.4%), pulmonary infection (57, 9.6%), and anastomotic bleeding (56, 9.4%), etc. There were 6 169 (96.1%) without short-term complication in structural form. There were 6 283 (97.8%) without long-term complications.ConclusionsThe changes in complications shown in the real world data from DACCA suggest that the focus of postoperative risks must be changed with the over the follow-up time. As for the complication evaluation system, it is necessary to establish a complete evaluation system combining the corresponding types and risks, to carry out valuable complication researches.
“Patient profile” is a specific application of user profile technology in the field of healthcare. As an emerging means of integrating health information, it provides personalized and precise health management for patients by analyzing multidimensional health data, improving health management effectiveness, reducing medical costs, and increasing their satisfaction and participation. It has broad application prospects in the field of nursing, but the current research status of its application in the field of nursing is not clear. This article reviews the application progress of patient profile based on big data in the field of nursing at home and abroad, systematically analyzes its construction methods, application scenarios, implementation effects and challenges, and puts forward relevant suggestions, aiming to provide references for the precise and intelligent development of nursing services.
ObjectiveTo analyze the follow-up data of colorectal cancer in the Database from Colorectal Cancer (DACCA).MethodsThe information in the Dacca database was screened, and the one whose operative date and follow-up date were not blank in the total data was selected. The follow-up data were analyzed, including length of follow-up, survival outcomes, coping styles (doctors’ attitude and reaction for follow-up), follow-up path (whether to choose out-patient, Wechat, QQ tools, phone call, text message, mobile application, face-to-face), the number of follow-up (the number of out-patient follow-up, the number of telephone follow-up, and the number of follow-up within 5 years).ResultsA total of 6 437 data items were analyzed for colorectal cancer adjuvant follow-up. ① The follow-up period of five years (2004–2015) was 56.6% (3 642/6 437), and the follow-up time was 0–201, 67 (26, 97) months. ② The highest data composition ratio of survival outcomes was “Survival” (79.7%, 4 611/5 787), and in the data with five-year follow-up period (2004–2015), the highest data composition ratio of survival outcomes was “Survival” (75.0%, 2 550/3 401), and the survival rate of the five-year follow-up period in 2008 was the highest (91.4%, 235/257). ③ The highest data composition ratio of the coping styles was the doctors’ active follow-up (76.8%, 2 121/2 762). ④ The highest data composition ratio of the follow-up path was out-patient service (90.6%, 4 236/4 676). ⑤ The highest data composition ratio of the number of out-patient follow-up was conducted by the original surgical team (100%, 4 380/4 380), the specific number was 0–130、5 (2, 10) times. The data composition ratio of telephone follow-up was 86.9% (3 808/4 380) and the specific number was 0–68、0 (0, 1) times. The highest frequency of follow-up was in the first year (89.9%, 3 044/3 386) and the specific number was 0–73、5 (3, 9) times.ConclusionBy expounding the characteristics of the colorectal cancer follow-up from colorectal cancer in DACCA, it provides some references for using big data to determine prognosis.
ObjectiveTo describe the difficulties and quality evaluation of colorectal cancer surgical procedures in the West China Colorectal Cancer Database (DACCA).MethodWe used the form of text description.ResultsThe related content modules of DACCA operation in West China Hospital, included operator, operative duration, anatomy (anatomical difficulty), pelvis (pelvic stenosis), obesity (abdominal obesity), adhesion (adhesion in surgical area), mesentery (abnormal mesenteric status), hypertrophy (tissue hypertrophy or organ hypertrophy), intestinal quality, death (risk of death), injury (risk of tissue injury), recurrence (tumor recurrence), metastasis (tumor metastasis), anastomotic leakage (risk of anastomotic leakage), difficulty of operation, prognosis, and quality of operation, were elaborated. Then the surgical characteristics were detailed for their definition, label, structure, error correction, and update.ConclusionThrough detailed description and specification of surgical difficulties and quality evaluation of colorectal cancer in DACCA in West China Hospital, it can provide a reference for standardized 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 characteristics of adjuvant treatment of colorectal cancer in the Database from Colorectal Cancer (DACCA).MethodsThe informations in the DACCA database were screened, including adjuvant therapy (adjuvant strategy, compliance), adjuvant chemotherapy (indication selection, acceptance, actual cycles of chemotherapy, effect, and standardized application), adjuvant radiotherapy (indication selection, acceptance, and effect), and targeted therapy (uses of oral and intravenous targeted drugs). The data that at least one of items must not be “empty” were selected.ResultsA total of 3 955 data items were analyzed for colorectal cancer adjuvant therapy. ① The highest data composition ratio of “planned strategy of adjuvant therapy” and “compliance of adjuvant therapy” was “adjuvant therapy” (35.6%, 929/2 611) and “coordination” (28.1%, 664/2362), respectively. ② The highest data composition ratios of “indication of chemotherapy”, “acceptance of chemotherapy”, “cycles of chemotherapy”, “effect of chemotherapy”, and “chemotherapy based guidelines” were “must” (38.6%, 1 140/2 963), “rejection” (53.1%, 1 373/2 586), “6-cycle adjuvant chemotherapy” (12.4%, 338/2 722), “stability” (59.9%, 618/1031), and “standardization” (78.6%, 903/1 149). There was an obvious relationship between the planned strategy of adjuvant chemotherapy and the final acceptance of chemotherapy (χ2=505.262, P<0.001), that was, when the planned strategy of adjuvant chemotherapy was “optional”, the proportion of final rejection was very high (89.0%, 137/154). ③ The highest data composition ratios of “indication of radiation”, “acceptance of radiation”, and “effect of radiation” were “unnecessary” (49.1%, 1 423/2 915), “rejection” (93.8%, 2 629/2 803), and “stability” (38.1%, 45/118). There was a correlation between the planned strategy of adjuvant radiotherapy and the final acceptance of radiotherapy (χ2=139.593, P<0.001), that was, when the patients who should receive radiotherapy had not high acceptance (10.6%, 127/1 194), and the patients who should select optional radiotherapy all refused radiotherapy (100%).④ The data composition ratios of “none” of oral and intravenous targeted therapy drugs in targeted therapy were the highest, at 84.2% (2 121/2 520) and 73.3% (206/281), respectively. ConclusionBy expounding the characteristics of the current adjuvant treatment of colorectal cancer in DACCA, it provides a reference for the adjuvant treatment of colorectal cancer.