SUMSearch and TRIP database are meta search engines for searching clinical evidence. This article introduces major contents and search methods of the SUMSearch and TRIP database, so as to provide quick search resources and technical help for evidence-based practice.
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 describe the constructive process of follow-up of colorectal cancer part in the Database from Colorectal Cancer (DACCA) in West China Hospital. MethodThe article was described in words. ResultsThe specific concepts of follow-up of colorectal cancer including end-stage of follow-up, survival status, follow-up strategy, follow-up emphasis, follow-up plan, follow-up record using communication tools, follow-up frequency, annual follow-up times, and single follow-up record of the DACCA in the West China Hospital were defined. Then they were detailed for their definition, label, structure, error correction, and update. ConclusionThrough the detailed description of the details of follow-up of colorectal cancer 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.
objective To analyze the impact of body mass index (BMI) on medical and surgical complications of colorectal cancer patients served by West China Hospital, based on the current version of Database from Colorectal Cancer (DACCA). Methods The data of DACCA was updated on September 27, 2021. The data included BMI, surgical complications, liver nodules, liver function, renal nodules, renal function, operation history, medical complications, diabetes, hypertension, pneumonia, pulmonary nodules, pulmonary function, heart disease, thrombosis, and cardiac function. Results After scanning, 5 305 data rows were included. BMI was divided by Chinese four classification methods. The analysis results showed that in terms of surgical complications, obese patients were more likely to be complicated with surgical complications of digestive system (χ2= 43.883, P<0.001) and reproductive system (χ2=13.139, P=0.004). Lean patients were more likely to have surgical complications of urinary system (χ2=223.415, P<0.001), and obese patients had liver function (H=61.521, P<0.001) and renal function (H=9.994, P=0.019) might be even worse. In terms of operation history, BMI in colorectal cancer patients had nothing to do with the number of times of operation (H=6.262, P=0.100), and operation history of each system or department (P>0.05). Regarding to medical complications, with the increase of BMI, the risk of colorectal cancer patients with diabetes mellitus (χ2=118.597, P<0.001), or hypertension (χ2= 163.334, P< 0.001) increased. Patients with low BMI were more likely to have pneumonia (H=7.899, P= 0.048) and worse pulmonary function (H=40.673, P<0.001). Conclusions The analysis results of DACCA database show that BMI is not related to the occurrence of any special surgical history included in the research. Because the internal and external complications of patients are closely related to the treatment plan and prognosis, we should pay more attention to the obese patients in the process of clinical treatment, and they are more likely to have multisystemic abnormalities and various abnormal indicators than other patients. For thin patients, we should pay more attention to their lung function and inflammatory lesions, so as to improve the clinical therapeutic effect.
ObjectiveTo elaborate constitute, definition, and interpretation of tumor characteristics module of colorectal cancer in the Database from Colorectal Cancer (DACCA) in the West China Hospital.MethodThe article was described in the words.ResultsThe tumor features module of colorectal cancer in the DACCA included the precancerous lesion, cancer family, location of tumor, distance to the dentate line, morphology of tumor, size, position, happening and origination, differentiation, pathology of tumor, Ki-67 protein, obstruction, intussusception, perforation, pain, edema, and hemorrhage. The exact definitions of morphology of tumor, size, position, differentiation, pathology of tumor, Ki-67 protein and complication (included obstruction, intussusception, perforation, pain, edema, and hemorrhage), tag and structure, corrective precautions and update of these columns, and how to use these tumor characteristics in the DACCA when analysis was carried out were described in detail.ConclusionThrough detailed description and specification of current tumor characteristics module 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 analyze the tumor characteristics of colorectal cancer in the current version of Database from Colorectal Cancer (DACCA).MethodsThe DACCA version was the updated version on April 16, 2020. The data items including: procedure of anastomosis, shape of anastomosis, enhanced suture for anastomosis, stuffing, drainage, coverage of major omentum, anti-adhesion material, reconstruction of pelvic peritoneum, contaminate, and drug implants were analyzed for the characteristics of each selected data item.ResultsA total of 6 338 analyzable data rows were obtained by screening the DACCA database. Among the 6 338 pieces of data, the most common one was the double staple technique (58.1%), end-to-end anastomosis (69.4%), one-total-circle of enhancement (33.2%), and without stuffing (54.1%) in the items of procedure of anastomosis, shape of anastomosis, enhanced suture for anastomosis, stuffing, respectively; the ratio with drainage was higher (79.2%) in the term of drainage, the drainage time was (3.74±2.89) d and median drainage time was 3.00 d; the ratio with covering part of major omentum, without anti-adhesion material, with unilateral partial closure, without contaminate, and without drug implants were more higher, which was 41.1%, 79.8%, 58.7%, 73.9%, and 53.9% in the items of coverage of major omentum, anti-adhesion material, reconstruction of pelvic peritoneum, contaminate, and drug implants, respectively.ConclusionIt might better explain the outcome of surgery associated with intraoperative operation by studying the features of surgery of DACCA and guide the operation in the future for better outcomes.
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.
ObjectiveTo explain surgery reaction and perioperative complications of colorectal cancer in detail as well as their tags and structures of Database from Colorectal Cancer (DACCA) in the West China Hospital.MethodThe article was described in words.ResultsThe surgery reaction and perioperative complications of colorectal cancer module including temperature, flatus, pain, and mental status, as well as preoperative complications, intraoperative complications, postoperative complications (short-term complications and long-term complications) of the DACCA in the West China Hospital were defined. 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 surgery reaction and perioperative complications of colorectal cancer of DACCA in West China Hospital, it provides standard and basis for clinical application of DACCA in future, and provides reference for other peers who wish to build a colorectal cancer database.
ObjectiveTo analyze the relationship between occupation and tumor characteristics of colorectal patients served by West China Hospital of Sichuan University as a regional center in the current version of Database from Colorectal Cancer (DACCA). MethodsThe data of DACCA was updated on January 5, 2022. All data items included occupation, tumor morphology, distance of tumor from dentate line, tumor site, properties of tumor, differentiation degree, postoperative complex physiological index (CPI) stage, tumor comorbidities, tumor location, and tumor occurrence. According to the 2015 edition of the Occupational Classification of the People’s Republic of China, the occupational parameters of patients in this study were divided into three groups: Mental workers, physical workers and unemployed residents. ResultsThe DACCA database was filtered according to the conditions, obtaining 3 215 valid data. In terms of tumor complications, there were significant differences in the proportion of tumor bleeding, perforation grade, mechanical intestinal obstruction degree and pain degree among the different occupational groups (P<0.05). There were no significant difference in the ratio of edema degree and intussusception of tumor site among the different occupational groups (P>0.05). There were no significant difference in the composition ratio of tumor differentiation degree, tumor occurrence, tumor orientation and tumor morphology among the different occupational groups (P>0.05). The composition ratio of CPI staging of colorectal cancer, the distance between tumor and dentate line, the composition ratio of different tumor pathological properties, and the composition ratio of tumor located in rectum and colon were statistically significant (P<0.05). ConclusionPreoperative tumor characteristics of patients with colorectal cancer are associated with various occupations. In patients with rectal cancer, the distance from the dentate line to the physical work of the tumor is smaller, lower site, some tumor complications are more severe, and the stage is relatively later.
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.