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 understand the impact of preoperative nutritional status on the postoperative complications for patients with low/ultra-low rectal cancer undergoing extreme sphincter-preserving surgery following neoadjuvant therapy. MethodsThe patients with low/ultra-low rectal cancer who underwent extreme sphincter-preserving surgery following neoadjuvant therapy from January 2009 to December 2020 were retrospectively collected using the Database from Colorectal Cancer (DACCA), and then who were assigned into a nutritional risk group (the score was low than 3 by the Nutrition Risk Screening 2002) and non-nutritional risk group (the score was 3 or more by the Nutrition Risk Screening 2002). The postoperative complications and survival were analyzed for the patients with or without nutritional risk. The postoperative complications were defined as early-term (complications occurring within 30 d after surgery), middle-term (complications occurring during 30–180 d after surgery), and long-term (complications occurring at 180 d and more after surgery). The survival indicators included overall survival and disease-specific survival. ResultsA total of 680 patients who met the inclusion criteria for this study were retrieved from the DACCA database. Among them, there were 500 (73.5%) patients without nutritional risk and 180 (26.5%) patients with nutritional risk. The postoperative follow-up time was 0–152 months (with average 48.9 months). Five hundreds and forty-three survived, including 471 (86.7%) patients with free-tumors survival and 72 (13.3%) patients with tumors survival. There were 137 deaths, including 122 (89.1%) patients with cancer related deaths and 15 (10.9%) patients with non-cancer related deaths. There were 48 (7.1%) cases of early-term postoperative complications, 51 (7.5%) cases of middle-term complications, and 17 (2.5%) cases of long-term complications. There were no statistical differences in the incidence of overall complications between the patients with and without nutritional risk (χ2=3.749, P=0.053; χ2=2.205, P=0.138; χ2=310, P=0.578). The specific complications at different stages after surgery (excluding the anastomotic leakage complications in the patients with nutritional risk was higher in patients without nutritional risk, P=0.034) had no statistical differences between the two groups (P>0.05). The survival curves (overall survival and disease-specific survival) using the Kaplan-Meier method had no statistical differences between the patients with and without nutritional risk (χ2=3.316, P=0.069; χ2=3.712, P=0.054). ConclusionsFrom the analysis results of this study, for the rectal cancer patients who underwent extreme sphincter-preserving surgery following neoadjuvant therapy, the patients with preoperative nutritional risk are more prone to anastomotic leakage within 30 d after surgery. Although other postoperative complications and long-term survival outcomes have no statistical differences between patients with and without nutritional risk, preoperative nutritional management for them cannot be ignored.
ObjectiveBased on recently update Database from Colorectal Cancer (DACCA), we aimed to analyze the characteristics of in-hospital process management from reginal medical center’s colorectal cancer patients.MethodsWe used Version January 29th, 2019 of DACAA being the analyzing source. The items were included date of first out-patient meeting, admitted date, operative date, discharged date, waiting-time, preoperative staying days, postoperative staying days, hospital staying days, and manage protocol, whose characteristics would be analyzed.ResultsWe left 8 913 lines to be analyzed by filtering DACCA. Useful data lines of first out-patient meeting had 3 915, admitted date had 8 144, operative date had 8 049, and discharged date had 7 958. The average of waiting-time were (9.41±0.43) days, and based on timeline trend for line prediction analyzing, which showed R2=0.101 257, P<0.001. The average of preoperative staying days were (5.41±0.04) days, and based on timeline trend for line prediction analyzing, which showed R2=0.023 671, P<0.001. The average of postoperative staying days were (8.99±0.07) days, and based on timeline trend for line prediction analyzing, which showed R2=0.086 177, P<0.001. The average of hospital staying days were (14.43±0.08) days, and based one timeline trend of line prediction analyzing, which showed R2=0.098 44, P<0.001. Analyzable ERAS data were 2 368 lines in DACCA. Total EARS data in 2 368 lines, there were 108 lines (5%) completed and 2 260 lines (95%) incomplete. Pre/post ERAS data in 2 260 lines, there were 150 lines (7%) completed and 2 110 lines (93%) incomplete. Post ERAS data in 2 110 lines, there were 170 lines (8%) completed and 1 940 lines (92%) incomplete.ConclusionsIn recent 20 years, the regional medical center served in-hospital colorectal cancer patients with decreased preoperative staying days, postoperative staying days, and in-hospital staying days from DACCA analyzing, which could prove the service ability had been in improved. Utilization rate of EARS was increased, and also being the main in-hospital process management.
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.
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social communication and repetitive behaviors. With the rapid development of computer vision, visual behavior analysis aided diagnosis of ASD has got more and more attention. This paper reviews the research on visual behavior analysis aided diagnosis of ASD. First, the core symptoms and clinical diagnostic criteria of ASD are introduced briefly. Secondly, according to clinical diagnostic criteria, the interaction scenes are classified and introduced. Then, the existing relevant datasets are discussed. Finally, we analyze and compare the advantages and disadvantages of visual behavior analysis aided diagnosis methods for ASD in different interactive scenarios. The challenges in this research field are summarized and the prospects of related research are presented to promote the clinical application of visual behavior analysis in ASD diagnosis.
To achieve non-contact measurement of human heart rate and improve its accuracy, this paper proposes a method for measuring human heart rate based on multi-channel radar data fusion. The radar data were firstly extracted by human body position identification, phase extraction and unwinding, phase difference, band-pass filtering optimized by power spectrum entropy, and fast independent component analysis for each channel data. After overlaying and fusing the four-channel data, the heartbeat signal was separated using frost-optimized variational modal decomposition. Finally, a chirp Z-transform was introduced for heart rate estimation. After validation with 40 sets of data, the average root mean square error of the proposed method was 2.35 beats per minute, with an average error rate of 2.39%, a Pearson correlation coefficient of 0.97, a confidence interval of [–4.78, 4.78] beats per minute, and a consistency error of –0.04. The experimental results show that the proposed measurement method performs well in terms of accuracy, correlation, and consistency, enabling precise measurement of human heart rate.
With the development of society and the progress of technology, artificial intelligence (AI) and big data technology have penetrated into all walks of life in social production and promoted social production and lifestyle greatly. In the medical field, the applications of AI, such as AI-assisted diagnosis and treatment, robots, medical imaging and so on, have greatly promoted the development and transformation of the entire medical industry. At present, with the support of national policy, market, and technology, we should seize the opportunity of AI development, so as to build the first-mover advantage of AI development. Of course, the development and challenges are coexisted. In the future development process, we should objectively analyze the gap between our country and developed countries, think about the unfavorable factors such as AI chips and data problems, and extend the application and service of AI and big data to all links of medical industry, integrate with clinic fully, so as to better promote the further development of AI medicine treatment in China.
Objective To analyze the relationship between age 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). Methods The data of DACCA was updated on January 5, 2022. All data items included age, precancerous lesions, family history of cancer, tumor site, distance of tumor from dentate line, tumor morphology, location, pathological properties of tumor, differentiation, and preoperative TNM stage. The patients were divided into three groups according to the age segment proposed by the United Nations World Health Organization (WHO): 35 years old and below (including infant, infant, child, teenager and youth, young group), 35 to 59 years old (middle-aged group), and 60 years old and above (elderly group). Results After scanning, 7 856 data rows were analyzed. ① There was significant difference in the composition ratio of precancerous lesions with or without among different age groups (χ2=6.219, P=0.045), and the constituent ratio of various precancerous lesions in different age groups was also statistically significant (χ2=51.698, P<0.001). ② There was significant difference in the composition ratio of family history of cancer with or without among different age groups (χ2=50.212, P<0.001), and there was significant difference in the composition ratio of different tumor history among different age groups (χ2=9.880, P=0.027), and there was significant difference in the constituent ratio of various tumor history among relatives in different age groups (χ2=16.138, P=0.003). ③ There were significant differences in the number of primary cancers among different age groups (χ2=12.973, P=0.036). In all patients with single primary rectal cancer, the constituent ratio of different rectal tumor sites among different age groups was statistically significant (χ2=43.817, P<0.001), and in all patients with single primary colon cancer, there was significant difference in the composition ratio of different colon tumor sites between different age groups (χ2=86.704, P<0.001). ④ The distance of tumor from dentate line was statistically significant in different age groups (H=28.589, P<0.001). ⑤ There was no significant difference in the composition ratio of tumor location among different age groups (χ2=14.795, P=0.140). ⑥ There was significant difference in the composition ratio of pathological properties of tumor among different age groups (χ2=121.387, P<0.001). ⑦ The proportion of tumor morphology was significantly different among different age groups (χ2=89.719, P<0.001). ⑧ There were significant differences in differentiation degree of tumor among different age groups (H=43.544, P<0.001). ⑨ There was statistically significant difference in preoperative TNM stage of colorectal cancer among different age groups (H=7.547, P=0.023). Conclusions Preoperative tumor characteristics of colorectal cancer patients are associated with age at diagnosis. Most young colorectal cancer patients do not have precancerous lesions, and once precancerous lesions are present, familial adenomatous polyposis is more common. Younger patients with colorectal cancer also have a higher percentage of relatives with a family history of cancer with colorectal cancer. From the perspective of tumor location, the proportion of single primary cancer in young colorectal cancer is higher than that in middle-aged and elderly patients. Younger patients with rectal cancer have a lower distance of tumor from dentate line, a higher proportion of low differentiated malignant tumors, and a relatively later neoplasm staging.
Objective To define an objective evaluation model for metadata integrity of randomized controlled trials (RCTs) in traditional Chinese medicine (TCM), and to evaluate the data integrity of RCT reports published in TCM journals. Methods Retrieving Chinese medicine RCT literature and extracting data, using the metadata specification list and customized evaluation model defined in the project "Intelligent Construction and Application Demonstration of the Evidence System of Chinese Medicine Dominant Diseases" to analyze RCTs from the perspective of data integrity. Results A metadata interface specification and an objective evaluation model for RCT metadata integrity were proposed. A total of 37 361 articles of 10 diseases from 1986 to 2020 were evaluated. Among them, 6 743 reports failed to meet the basic requirements of metadata specifications. The proportion of reports with no missing required items was between 73% and 97%. "tcm_disease" and "num_drop_total" had a greater impact on completeness for the required items. The reporting rates of the items in the "age_sd" and "history_sd" in the "group" section, and "dosage", "dosage_form" and "dosage_freq" in the "interventions" section were low. The average score of RCT report was 71.39 points. Conclusions There is room for improvement in the integrity of RCT data in TCM, and data reporting is urgently required to be standardized. The metadata specification and completeness objective evaluation model proposed in this study can provide references for improving the data integrity of clinical trial reports of TCM.
ObjectiveScreening the Database from Colorectal Cancer (DACCA) based on West China Hospial data by " Operation Date”, we purposed to analyze the population characteristics of colorectal cancer patients in regional medical center within recent Database Version.MethodsThe DACCA Version was updated in December 12th, 2018. Personal data (including sex, age, blood type, height, weight, and BMI), location data (including provinces, cities, and subordinate areas in Chengdu), occupation and education data, and main diagnosis data were included in the items. Characteristic analysis was performed on each selected data item.ResultsAccording to screening, 9 633 analytical data rows were obtained. Based on the database information, there were 24 consecutive years from 1995 to 2018 into every year. We set 2005 to 2006 as the time node for the database construction. The contribution to database before 2005 (including) was 1 358, while after 2005 (not including) were 8 275. The contribution rate (contribution numbers/years) after 2005 was higher than before 2005 ［1 358/11 vs. 8 275/13, 95% CI was (–625.337, –400.831), P<0.001］. According to gender distribution, total male data were 4 669, female were 3 340, non-checked were 1 624. According to age distribution, age were from 13 to 104 ［(59±13) years］. Linear prediction was used to predict the age distribution with the " year” as the time axis. The results showed the stable linear prediction (\begin{document}$\hat y$\end{document}=0.016 1x+26.54, R2=3.42×105, P=0.601 108). According to height, height were from 138 cm to 192 cm ［(161±7)cm］, linear prediction results showed that the linear variation with height changes by value (\begin{document}$\hat y$\end{document}=0.110 5 x–60.911, R2=0.002 6, P=0.000 272). According to weight, weight were from 27.5 kg to 80.5 kg ［(59.38±10.27) kg］, linear prediction results showed that the linear variation with height changes by value (\begin{document}$\hat y$\end{document}=0.296 5x–537.24, R2=0.010 625, P=2.37×1014). Available 6 884 data showed the difference between serving areas by West China Hospital and official definition of western region. A total of 9 209 data obtained by analyzing main diagnosis, showed that the main site of disease was rectum (68.64%). Sigmoid was the main location of colon cancer (68.64%), and anal-rectal cancer was main of rectal cancer (27.06%).ConclusionPopulation characteristics from DACCA database could initially reflect the trend of increasing weight and BMI of colorectal cancer patients, and also reflect the regional distribution characteristics based on geographic information. They would be the clues for further database research.