1.Meta-analysis on safety of application of enhanced recovery after surgery to laparoscopic bariatric surgery.
Wenyue WANG ; Chengcan YANG ; Bing WANG
Chinese Journal of Gastrointestinal Surgery 2018;21(10):1167-1174
OBJECTIVETo systematically review the safety of application of enhanced recovery after surgery(ERAS) to laparoscopic bariatric surgery.
METHODSThe randomized controlled trials (RCTs) or case-controlled trials concerning application of ERAS principles in bariatric surgery were collected by searching several national and international online databases, including PubMed, Cochrane Library, CNKI, EMBASE and Wanfang databases. Data collection was completed in October 2016. The ERAS protocol covered three phases (preoperative, intraoperative, and postoperative), including preoperative counseling, reduced fasting, early ambulation, early oral feeding, etc. The endpoints included at least one of the following parameters: length of stay (LOS), operation time, readmission rate within 30 days, morbidity of postoperative complication (major/minor), and reoperation rate within 30 days. The quality of enrolled literatures was evaluated according to Cochrane Handbook and Newcastle-Ottawa Scale. RevMan 5.2 software was applied to perform meta analysis. The weighted mean difference (WMD) was used to combine the statistics for the measurement data, and the ratio and its 95% confidence interval were used to combine the statistics for the counting data. Subgroup analysis was conducted based on the quality of the enrolled literatures for the results of high heterogeneity.
RESULTSA total of 7 studies, including 1 randomized controlled trail and 6 case-control studies, with 3264 patients were enrolled. Among the 3264 patients, 2051 received ERAS management (ERAS group) and 1213 received traditional perioperative management (control group). Meta analysis showed that compared with control group, ERAS group had shorter operative time (WMD=-17.56, 95%CI: -29.50 to -5.62, P=0.00), shorter length of hospital stay (WMD=-1.11, 95%CI: -1.31 to -0.92,P=0.00). There were no statistically significant differences between the two groups in the morbidity of postoperative major complication(OR=1.21, 95%CI:0.87 to 1.69, P=0.26) or minor complication (OR=1.25, 95%CI:0.99 to 1.58, P=0.06), re-admission rate within 30 days (OR=1.07, 95%CI: 0.81 to 1.43, P=0.63) and re-operation rate within 30 days(OR=1.33, 95%CI: 0.84 to 2.11, P=0.23).
CONCLUSIONApplication of ERAS protocols to bariatric surgery is safe and feasible, which can also reduce length of hospital stay and operative time, and accelerate recovery.
2.MCDB: A comprehensive curated mitotic catastrophe database for retrieval, protein sequence alignment, and target prediction.
Le ZHANG ; Lei ZHANG ; Yue GUO ; Ming XIAO ; Lu FENG ; Chengcan YANG ; Guan WANG ; Liang OUYANG
Acta Pharmaceutica Sinica B 2021;11(10):3092-3104
Mitotic catastrophe (MC) is a form of programmed cell death induced by mitotic process disorders, which is very important in tumor prevention, development, and drug resistance. Because rapidly increased data for MC is vigorously promoting the tumor-related biomedical and clinical study, it is urgent for us to develop a professional and comprehensive database to curate MC-related data. Mitotic Catastrophe Database (MCDB) consists of 1214 genes/proteins and 5014 compounds collected and organized from more than 8000 research articles. Also, MCDB defines the confidence level, classification criteria, and uniform naming rules for MC-related data, which greatly improves data reliability and retrieval convenience. Moreover, MCDB develops protein sequence alignment and target prediction functions. The former can be used to predict new potential MC-related genes and proteins, and the latter can facilitate the identification of potential target proteins of unknown MC-related compounds. In short, MCDB is such a proprietary, standard, and comprehensive database for MC-relate data that will facilitate the exploration of MC from chemists to biologists in the fields of medicinal chemistry, molecular biology, bioinformatics, oncology and so on. The MCDB is distributed on http://www.combio-lezhang.online/MCDB/index_html/.