ObjectiveTo summarize the research status of risk factors of chronic postoperative inguinal pain (CPIP).MethodWe searched and summarized the domestic and foreign literatures about the risk factors of CPIP in recent years.ResultsThere was no doubt that the risk factors of CPIP included preoperative pain, acute pain at postoperative, recurrent inguinal hernia, smaller hernia sac, higher body mass index (BMI), and surgical methods. These effects were controversial such as age, gender, and the mesh. In recent years, hypertension and a past history of chronic pain may also be risk factors for the development of CPIP.ConclusionsThe risk factors of CPIP still need the further study.
ObjectiveTo compare the properties of hernia repair mesh of different materials used in clinical practice, so as to provide reference for clinical selection of numerous meshes at present. MethodThe literatures of different materials of hernia mesh in the treatment of abdominal hernia and inguinal hernia at home and abroad were reviewed.ResultsThe synthetic mesh, especially the polypropylene mesh with wide-pore mesh in the midweight mesh, might be the most ideal synthetic mesh. The new coating material improved the defect of polypropylene material to a great extent. The status of biological mesh in complex hernia repair had been waxed, and it had a tendency to be replaced by absorbable synthetic mesh.ConclusionsCurrently, there is no single mesh suitable for all types of hernia repair. Polypropylene mesh is still an effective and low cost mesh material, and there may be more room for the development of absorbable synthetic materials and antimicrobial coatings.
ObjectiveTo summarise the influencing factors of gut microbiota in the perioperative period and its regulatory mechanism in postoperative pain, with the aim of providing clinical reference for postoperative pain management. MethodRelevant literatures on gut microbiota and postoperative pain in recent years were systematically reviewed and synthesised. ResultsAnaesthesia, preoperative mechanical bowel preparation, surgical stress, etc. could cause gut microbiota dysbiosis. Gut microbiota directly or indirectly modulated the excitability of primary sensory neurons through their derived metabolites and pathogen-associated molecular patterns and influenced the pain signalling process by activating immune cells to release cytokines. ConclusionsGut microbiota play an important role in the development and progression of postoperative pain. Future studies should further clarify its role in different types of postoperative pain and develop innovative therapeutic strategies based on the regulation of gut microbiota to improve the management of postoperative pain.
ObjectiveTo systematically summarize the research progress in risk prediction models for postoperative anastomotic leakage in gastric cancer, and to explore the advantages and limitations of models constructed using traditional statistical methods and machine learning, thereby providing a theoretical basis for clinical precision prediction and early intervention. MethodBy analyzing domestic and international literature, the construction strategies of logistic regression, least absolute shrinkage and selection operator (LASSO) regression, and machine learning models (support vector machine, random forest, deep learning) were systematically reviewed, and their predictive performance and clinical applicability were compared. ResultsThe traditional logistic regression and LASSO regression models performed excellently in terms of interpretability and in small-sample scenarios but were limited by linear assumptions. The machine learning models significantly enhanced predictive capabilities for complex data through non-linear modeling and automatic feature extraction, but required larger data scales and had higher demands for interpretability. ConclusionsDifferent prediction models have their own advantages and limitations; in practical clinical applications, they should be flexibly selected or complementarily applied based on specific scenarios. Current anastomotic leakage prediction models are evolving from single factor analysis to multi-modal dynamic integration. Future efforts should combine artificial intelligence and multi-center prospective clinical studies to validate, so advancing the development of precise and individualized anastomotic leakage predictive tools for patients after gastric cancer resection.
Objective To construct the eukaryotic expressive vector of human tissue factor （TF），and to abserve the effect of TF on invasion and metastasis of gastric cancer cells line. Methods The human TF cDNA was obtained from human placenta by nest PCR, and the constructed eukaryotic expressive vector TF-pcDNA3 was transfected into SGC7901 cells by lipofectamine. Stable-transfected cells were screened by G418. The expressions of TF mRNA and protein on the cells were detected by RT-PCR and Western blot. Cell motility was assessed by using Transwell experiments and wound-healing assays. Results The eukaryotic expressive vector TF-pcDNA3 was successfully constructed and transfected into SGC7901. Compared with blank control group and negative control group, the expressions of TF mRNA and TF protein in transfection group were increased, the cell motility in vitro was enhanced. Conclusion TF can enhance the ability of invasion and metastasis of gastric cancer cells in vitro.
ObjectiveTo understand the research progress of Aurora kinase A (AURKA) in colorectal cancer, so as to provide new ideas for treatment of colorectal cancer. MethodThe relevant to literature on AURKA and its relation with colorectal cancer was searched and reviewed. ResultsThe AURKA was a member of the polygenic family of mitosis/threonine protein kinases. The studies in recent years had found that the AURKA not only played an important role in the regulation in the cell cycle processes, but also played a different role outside the cell cycle. The AURKA abnormally expressed in a variety of malignancies, including colorectal cancer, and was associated with a poor prognosis in patients, and many inhibitors against AURKA were developed and evaluated at different stages of clinical study. ConclusionAs a key gene in the occurrence and development of colorectal cancer, AURKA should be further studied to clarify its specific mechanism of action, and targeted drugs may be developed.
ObjectiveTo systematically evaluate the effects of biological mesh (BM) and non-absorbable synthetic mesh (SM) on the risks of recurrence, complications, and cost-effectiveness after ventral hernia repair. MethodsThe publicly published related researches of BM versus SM for ventral hernia repair were searched in the PubMed, Cochrane Library, Embase, Web of Science, CNKI, Wanfang, VIP, CBM databases from the establishment of the databases to August 1, 2021. According to the inclusion and exclusion criteria, the literatures were screened and the data were extracted, and the data that met the conditions were merged and analyzed. The meta-analysis was performed by RevMan5.4.1 software. ResultsA total of 26 studies with 3 259 patients were included, including 1 388 patients in the BM group and 1 871 in the SM group. The results of meta-analysis showed that the recurrence, surgical site infection, surgical site occurrence, reoperation rates, and medical costs in the BM group were higher than those in the SM group (P<0.05). There were no significant differences in the patch infection, seroma, hematoma, wound dehiscence, and readmission rates between the two groups (P>0.05). ConclusionsSM during ventral hernia repair is better than BM on postoperative recurrence, surgical site infection, surgical site occurrence, reoperation, etc., and could reduce medical costs. In the future, it is tried to use more SM in patients with complicated ventral hernia such as cleaning pollution and contaminated environment.
ObjectiveTo evaluate existing predictive models for surgical site infection (SSI) following colorectal cancer (CRC) surgery, aiming to provide a scientific basis for refining risk prediction models and developing clinically practical and widely applicable screening tools. MethodA comprehensive review of existing literature on predictive models for SSI following CRC surgery, both domestically and internationally, were conducted. ResultsThe determination of SSI following CRC surgery primarily relied on the Centers for Disease Control and Prevention standard of USA, which presented issues of consistency and accuracy. Various predictive models had been developed, including traditional statistical models and machine learning models, with 0.991 of an area under the operating characteristic curve of predictive model. However, most studies were based on retrospective and single-center data, which limited their applicability and accuracy. ConclusionsAlthough existing models provide strong support for predicting SSI following CRC surgery, there is a need for multi-center, prospective studies to enhance the generalizability and accuracy of these models. Additionally, future research should focus on improving model interpretability to better apply them in clinical practice, providing personalized risk assessments and intervention strategies for patients.
ObjectiveTo systematically review the research progress on risk factors and predictive models for postoperative pulmonary infection (POPI) in gastric cancer patients, aiming to provide a reference for the early identification of high-risk patients and the optimization of clinical interventions. MethodsBy reviewing relevant domestic and international studies in recent years, the key risk factors for POPI in gastric cancer were summarized. And the construction methodologies, efficacy, and clinical application value of the latest predictive models developed in the last three years were evaluated. ResultsIn addition to traditional risk factors, recent studies had further confirmed the significant predictive value of novel factors for POPI following gastric cancer surgery, including nutritional-immune-inflammatory markers (such as prognostic nutritional index, C-reactive protein to albumin ratio, C-reactive protein-albumin-lymphocyte index), preoperative frailty, sarcopenia, and specific surgical approaches (e.g., differences between totally laparoscopic and laparoscopically assisted gastrectomy). Regarding predictive models, nomogram models developed based on multivariate logistic regression analysis and risk scoring systems had demonstrated favorable performance in both internal and partial external validations, with the area under the receiver operating characteristic curve mostly ranging from 0.74 to 0.97. Notably, composite models that integrate nutritional and immune-inflammatory markers with frailty assessments had shown superior predictive accuracy and clinical applicability. ConclusionsThis review provides a novel predictive perspective based on emerging biomarkers and functional assessments for the early identification of high-risk populations of POPI following gastric cancer surgery. Future research should prioritize the validation and refinement of existing models through multicenter collaboration, ultimately transforming them into more effective clinical risk assessment tools to guide precision prevention.
Objective To understand the changes of intestinal flora during perioperative period of colorectal cancer and the mechanism affecting the occurrence of postoperative anastomotic leakage, so as to improve perioperative management of patients and find possible measures to decrease the incidence rate of anastomotic leakage. Method The literature related to perioperative intestinal flora assessment, anastomotic healing, and anastomotic leakage of colorectal cancer in recent years was comprehensively searched in the CNKI, PubMed, and Embase databases and made an review. ResultsDue to the various perioperative interventions, the diversity and abundance of intestinal flora had changed after colorectal cancer surgery, and some conditional pathogenic bacteria such as Enterococcus faecalis, Pseudomonas aeruginosa, etc. increased obviously, which led to collagen degradation through the expression of bacterial collagenase or the excessive activation of matrix metalloproteinases in the host intestine, then might lead to the poor anastomotic healing and even the anastomotic leakage. ConclusionAlthough the evidence of effect of intestinal flora on anastomotic leakage mainly comes from animal experiments, it still shows the potential role of intestinal flora in the occurrence of anastomotic leakage after colorectal cancer surgery, and can be regulated by perioperative intervention, which suggests that it may provide a new strategy for prevention of anastomotic leakage.
