Conectar
by Se Min Kim, Namu Park, Hye Bin Park, JuKyung Lee, Changho Chun, Kyung Hoon Kim, Jong Seob Choi, Hyung Jin Kim, Sekyu Choi, Jung Hyun Lee
Triple-negative breast cancer (TNBC) demands urgent attention for the development of effective treatment strategies due to its aggressiveness and limited therapeutic options [1]. This research is primarily focused on identifying new biomarkers vital for immunotherapy, with the aim of developing tailored treatments specifically for TNBC, such as those targeting the PD-1/PD-L1 pathway. To achieve this, the study places a strong emphasis on investigating Ig genes, a characteristic of immune checkpoint inhibitors, particularly genes expressing Ig-like domains with altered expression levels induced by "cancer deformation," a condition associated with cancer malignancy. Human cells can express approximately 800 Ig family genes, yet only a few Ig genes, including PD-1 and PD-L1, have been developed into immunotherapy drugs thus far. Therefore, we investigated the Ig genes that were either upregulated or downregulated by the artificial metastatic environment in TNBC cell line. As a result, we confirmed the upregulation of approximately 13 Ig genes and validated them using qPCR. In summary, our study proposes an approach for identifying new biomarkers applicable to future immunotherapies aimed at addressing challenging cases of TNBC where conventional treatments fall short.by Yawen Xu, Jiangxuan Yu, Rui Shen, Xueqi Shan, Wenlu Zhou, Junjie Wang
ObjectiveAlthough several acupuncture and moxibustion therapies have been tested in managing breast cancer-related lymphedema (BCRL), there is little consensus regarding the best options for treating this condition. This systematic review and network meta-analysis compared the efficacy of various acupuncture and/or moxibustion therapies for BCRL.
MethodsSeven databases and two clinical registration centers were searched from their inception to December 1st, 2023. The Cochrane Collaboration risk-of-bias assessment tool evaluated the quality of included RCTs. A pairwise meta-analysis was performed in STATA 16.0, while a network meta-analysis was performed in R 4.2.2.
Results18 studies were included in this analysis. Our results showed that acupuncture and moxibustion methods had great advantages in improving BCRL of patients with breast cancer. In particular, needle-warming moxibustion (NWM) could be the optimal acupuncture and moxibustion method for improving clinical effectiveness and reducing the degree of swelling of affected limbs.
ConclusionOur findings suggest that NWM has great potential in treating BCRL. It may reduce arm circumference, lower swelling levels, and improve clinical effectiveness. Nevertheless, more multi-center, high-quality, and large sample RCTs will be needed in the future.
by Junning Chen, Marta Aido, Andreas Roschger, Alexander van Tol, Sara Checa, Bettina M. Willie, Richard Weinkamer
Osteocyte lacuno-canalicular network (LCN) is comprised of micrometre-sized pores and submicrometric wide channels in bone. Accumulating evidence suggests multiple functions of this network in material transportation, mechanobiological signalling, mineral homeostasis and bone remodelling. Combining rhodamine staining and confocal laser scanning microscopy, the longitudinal cross-sections of six mouse tibiae were imaged, and the connectome of the network was quantified with a focus on the spatial heterogeneities of network density, connectivity and length of canaliculi. In-vivo loading and double calcein labelling on these tibiae allowed differentiating the newly formed bone from the pre-existing regions. The canalicular density of the murine cortical bone varied between 0.174 and 0.243 μm/μm3, and therefore is three times larger than the corresponding value for human femoral midshaft osteons. The spatial heterogeneity of the network was found distinctly more pronounced across the cortex than along the cortex. We found that in regions with a dense network, the LCN conserves its largely tree-like character, but increases the density by including shorter canaliculi. The current study on healthy mice should serve as a motivating starting point to study the connectome of genetically modified mice, including models of bone diseases and of reduced mechanoresponse.To construct a symptom network of maintenance hemodialysis patients and identify the core symptoms and core symptom clusters. Finally, this study provides a reference for accurate symptom management.
A correlational cross-sectional design. A total of 368 patients who underwent maintenance hemodialysis were enrolled from two hemodialysis centers in Chengdu, Sichuan Province, China. A symptom network was constructed with the R coding language to analyze the centrality index. Symptom clusters were extracted by exploratory factor analysis, and core symptom clusters were preliminarily determined according to the centrality index of the symptom network.
The most common symptoms in maintenance hemodialysis patients were fatigue, dry skin, and pruritus. In the symptom network, headache had the highest mediation centrality (rB = 2.789) and closeness centrality (rC = 2.218) and the greatest intensity of numbness or tingling in the feet (rS = 1.952). A total of six symptom clusters were extracted, including pain and discomfort symptom clusters, emotional symptom clusters, gastrointestinal symptom clusters, sleep disorder symptom clusters, dry symptom clusters, and sexual dysfunction symptom clusters. The cumulative variance contribution rate was 69.269%.
Fatigue, dry skin, and pruritus are the sentinel symptoms of maintenance hemodialysis patients, headache is the core symptom and bridge symptom, and pain symptom clusters are the core symptom clusters of MHD patients. Nurses can develop interventions based on core symptoms and symptom clusters to improve the effectiveness of symptom management in maintenance hemodialysis patients.
Understanding the core symptoms and symptom groups that plague maintenance hemodialysis patients is critical to providing accurate symptom management. To ensure that maintenance hemodialysis patients receive effective support during treatment, reduce the adverse effects of symptoms, and improve the quality of life of patients.
This study aims to investigate the mediating role of regulatory emotional self-efficacy and self-compassion in the relationship among anxiety, depression, body image distress and subjective well-being among women with polycystic ovary syndrome.
A cross-sectional study.
The study recruited 510 women with polycystic ovary syndrome from a tertiary hospital affiliated with a university in Hunan Province, China. The study employed several tools to collect data, including the Generalized Anxiety Scale, the Patient Health Questionnaire-9, the Body Image States Scale, the Self-Compassion Scale, the Regulatory Emotional Self-Efficacy Scale and the Index of Well-being questionnaire. Data analysis was carried out using descriptive analysis, spearman correlation analysis, ordinary least squares regression and bootstrapping.
The study's findings indicate that regulatory emotional self-efficacy and self-compassion both act as mediators in the connection between anxiety, depression, body image distress and subjective well-being among women with polycystic ovary syndrome.
The study emphasizes the significance of regulatory emotional self-efficacy and self-compassion in promoting well-being among women with polycystic ovary syndrome. It also implies that interventions targeted at enhancing these factors could potentially enhance the subjective well-being of women affected by PCOS.
Our study's primary contribution is to underscore the crucial mediating roles of regulatory emotional self-efficacy and self-compassion in the relationship among anxiety, depression, body image distress and subjective well-being. Our study indicates that clinical practitioners should prioritize improving the regulatory emotional self-efficacy and self-compassion of women with polycystic ovary syndrome, reducing their anxiety, depression and body image distress and improving their subjective well-being.
This study was reported according to the Standards for Reporting Qualitative Research (SRQR).
No patient or public contribution outside of participation in the actual study for purposes of data collection.
As of now, a model for predicting the survival of patients with out-of-hospital cardiac arrest has not been established. This study aimed to develop a model for identifying predictors of survival over time in patients with out-of-hospital cardiac arrest during their stay in the emergency department, using ensemble-based machine learning. A total of 26 013 patients from the Korean nationwide out-of-hospital cardiac arrest registry were enrolled between January 1 and December 31, 2019. Our model, comprising 38 variables, was developed using the Survival Quilts model to improve predictive performance. We found that changes in important variables of patients with out-of-hospital cardiac arrest were observed 10 minutes after arrival at the emergency department. The important score of the predictors showed that the influence of patient age decreased, moving from the highest rank to the fifth. In contrast, the significance of reperfusion attempts increased, moving from the fourth to the highest rank. Our research suggests that the ensemble-based machine learning model, particularly the Survival Quilts, offers a promising approach for predicting survival in patients with out-of-hospital cardiac arrest. The Survival Quilts model may potentially assist emergency department staff in making informed decisions quickly, reducing preventable deaths. by Junhao Sun, Siqi Yang, Yue Zhang, Wenzhi Xiang, Xiubo Jiang
As a new definition for the evidence of hepatic steatosis and metabolic dysfunctions, the relationship between phthalates (PAEs) and metabolic dysfunction-associated fatty liver disease (MAFLD) remains virtually unexplored. This study included 3,137 adults from the National Health and Nutrition Examination Survey spanning 2007–2018. The diagnosis of MAFLD depended on the US Fatty Liver Index (US FLI) and evidence of metabolic dysregulation. Eleven metabolites of PAEs were included in the study. Poisson regression, restricted cubic spline (RCS), and weighted quantile sum (WQS) regression were used to assess the associations between phthalate metabolites and MAFLD. After adjusting for potential confounders, Poisson regression analysis showed that mono-2-ethyl-5-carboxypentyl phthalate (MECPP), mono-n-butyl phthalate, mono-(3-carboxypropyl) phthalate, mono-ethyl phthalate (MEP), mono-(2-ethyl-5-hydroxyhexyl) phthalate (MEHHP) and mono-(2-ethyl-5-oxohexyl) phthalate were generally significant positively associated with MAFLD (PA meta-analysis was conducted to comprehensively explore the effects of platelet-rich plasma (PRP) combined with negative pressure wound therapy (NPWT) in treating patients with chronic wounds. Computer searches were conducted, from database infection to November 2023, in EMBASE, Google Scholar, Cochrane Library, PubMed, Wanfang and China National Knowledge Infrastructure databases for randomized controlled trials (RCTs) on the use of PRP combined with NPWT technology for treating chronic wounds. Two researchers independently screened the literature, extracted data and conducted quality assessments according to the inclusion and exclusion criteria. Stata 17.0 software was employed for data analysis. Overall, 18 RCTs involving 1294 patients with chronic wounds were included. The analysis revealed that, compared with NPWT alone, the use of PRP combined with NPWT technology significantly improved the healing rate (odds ratios [OR] = 1.92, 95% confidence intervals [CIs]: 1.43–2.58, p < 0.001) and total effective rate (OR = 1.31, 95% CI: 1.23–1.39, p < 0.001), and also significantly shortened the healing time of the wound (standardized mean difference = −2.01, 95% CI: −2.58 to −1.45, p < 0.001). This study indicates that the treatment of chronic wounds with PRP combined with NPWT technology can significantly enhance clinical repair effectiveness and accelerate wound healing, with a high healing rate, and is worth further promotion and practice.
Buddhist novices reside in Buddhist temples, which are legally designated as smoke-free areas. Nevertheless, similar to other men in their age group, they are susceptible to various risk factors that lead to smoking. This digital survey aimed to examine tobacco smoking and its associated factors among Buddhist novices in Thailand.
A cross-sectional digital survey.
88 temple-based schools in Thailand.
A stratified two-stage cluster sampling method was employed to select 5371 novices. Data were collected between June and August 2022 using self-administered electronic questionnaires.
Descriptive statistics and multivariable logistic regression analysis were used to identify the associated factors.
Overall, 32.8% of the respondents reported they had tried smoking, and the average age of initiation was 12.4 years. In the past 30 days, 25.7% had smoked any tobacco product. Multiple factors following the ecological model of health behaviour were found to be statistically associated with smoking by 37.3%. Among these were intrapersonal-level factors, such as age, living in the southern region and attempted smoking. Two were interpersonal-level factors: the smoking behaviour of close relatives, specifically parents, and their respected monks. Two were institutional-level factors: perceiving that temple-based schools are smoke-free areas and exposure to secondhand smoke. Three factors at the community and policy levels were noticed tobacco advertising at the point of sale, social media and tobacco promotion.
The findings of this study support the development of comprehensive intervention programmes that address the multiple factors to prevent Buddhist novices from smoking.
Early identification and intervention of the frailty of the elderly will help lighten the burden of social medical care and improve the quality of life of the elderly. Therefore, we used machine learning (ML) algorithm to develop models to predict frailty risk in the elderly.
A prospective cohort study.
We collected data on 6997 elderly people from Chinese Longitudinal Healthy Longevity Study wave 6–7 surveys (2011–2012, 2014). After the baseline survey in 1998 (wave 1), the project conducted follow-up surveys (wave 2–8) in 2000–2018. The osteoporotic fractures index was used to assess frailty. Four ML algorithms (random forest [RF], support vector machine, XGBoost and logistic regression [LR]) were used to develop models to identify the risk factors of frailty and predict the risk of frailty. Different ML models were used for the prediction of frailty risk in the elderly and frailty risk was trained on a cohort of 4385 elderly people with frailty (split into a training cohort [75%] and internal validation cohort [25%]). The best-performing model for each study outcome was tested in an external validation cohort of 6997 elderly people with frailty pooled from the surveys (wave 6–7). Model performance was assessed by receiver operating curve and F2-score.
Among the four ML models, the F2-score values were similar (0.91 vs. 0.91 vs. 0.88 vs. 0.90), and the area under the curve (AUC) values of RF model was the highest (0.75), followed by LR model (0.74). In the final two models, the AUC values of RF and LR model were similar (0.77 vs. 0.76) and their accuracy was identical (87.4% vs. 87.4%).
Our study developed a preliminary prediction model based on two different ML approaches to help predict frailty risk in the elderly.
The presented models from this study can be used to inform healthcare providers to predict the frailty probability among older adults and maybe help guide the development of effective frailty risk management interventions.
Detecting frailty at an early stage and implementing timely targeted interventions may help to improve the allocation of health care resources and to reduce frailty-related burden. Identifying risk factors for frailty could be beneficial to provide tailored and personalized care intervention for older adults to more accurately prevent or improve their frail conditions so as to improve their quality of life.
The study has adhered to STROBE guidelines.
No patient or public contribution.
by Weiyong Chen, Qiaoqin Ma, Xiaohong Pan, Lin Chen, Hui Wang, Xin Zhou, Tingting Jiang, Wanjun Chen
ObjectivesThe characteristics of men who have sex with men (either exclusively or with both men and women; MSM) who engaged in casual sex among Chinese male university students have not been compared with the characteristics of men who have sex with only women (MSW). This information is important for tailoring targeted behavioral interventions to prevent human immunodeficiency virus (HIV)/sexually transmitted infection (STI) transmission in this subgroup of MSM.
MethodsData were derived from a large cross-sectional electronic questionnaire survey conducted at 13 universities in Zhejiang Province, China, in 2018. Bivariate analyses were used to compare demographic, HIV-related psychosocial, and behavioral characteristics between MSM and MSW students who engaged in casual sex during the previous year. Proportion differences between the two groups and their 95% confidence intervals were analyzed.
ResultsAmong the 583 sexually active male students who engaged in casual sex during the previous year, 128 and 455 were MSM and MSW, respectively. Compared with MSW students, larger proportions of MSM students reported knowing that male-to-male sexual behavior was the main mode of HIV transmission among Chinese students (62.5% vs. 45.5%), consenting to commercial sex (67.2% vs. 53.4%), wanting to know the HIV serostatus of partners before casual sex (65.8% vs. 51.3%), feeling at risk of HIV infection (40.5% vs. 11.8%), high condom-decision scale scores (55.3% vs. 42.6%), engaging in sex with ≥ 5 casual sex partners (44.6% vs. 25.9%), searching for casual partners online (89.2% vs. 51.3%), consuming alcohol before casual sex (64.8% vs. 45.0%), engaging in sex with regular partners (83.1% vs. 67.0%), engaging in commercial sex (54.2% vs. 26.4%), and visiting a clinic for voluntary counselling and testing (VCT) (16.4% vs. 8.4%). However, compared with MSW students, smaller proportions of MSM students reported knowing that consistent condom use could prevent HIV transmission (80.5% vs. 95.2%) and that VCT should be actively sought after risky sexual behavior (78.9% vs. 93.8%), using condoms sometimes/often (26.4% vs. 44.3%), and consistently using condoms (28.9% vs. 40.1%) while engaging in sex with casual partners.
ConclusionsMSM students who engaged in casual sex were at a greater risk of HIV/STI transmission, compared with MSW students. Comprehensive interventions to address the risks of unprotected male-to-male sex, searching for casual sex partners online, and non-use of HIV testing services are needed to reduce the burden of HIV/STI transmission among this subgroup of MSM.
by Mina Baek, Minjae Kim, Hae In Choi, Bert Binas, Junho Cha, Kyoung Hwa Jung, Sungkyoung Choi, Young Gyu Chai
The multikinase inhibitor sorafenib is the standard first-line treatment for advanced hepatocellular carcinoma (HCC), but many patients become sorafenib-resistant (SR). This study investigated the efficacy of another kinase inhibitor, regorafenib (Rego), as a second-line treatment. We produced SR HCC cells, wherein the PI3K-Akt, TNF, cAMP, and TGF-beta signaling pathways were affected. Acute Rego treatment of these cells reversed the expression of genes involved in TGF-beta signaling but further increased the expression of genes involved in PI3K-Akt signaling. Additionally, Rego reversed the expression of genes involved in nucleosome assembly and epigenetic gene expression. Weighted gene co-expression network analysis (WGCNA) revealed four differentially expressed long non-coding RNA (DElncRNA) modules that were associated with the effectiveness of Rego on SR cells. Eleven putative DElncRNAs with distinct expression patterns were identified. We associated each module with DEmRNAs of the same pattern, thus obtaining DElncRNA/DEmRNA co-expression modules. We discuss the potential significance of each module. These findings provide insights and resources for further investigation into the potential mechanisms underlying the response of SR HCC cells to Rego.Skin Cutaneous Melanoma (SKCM) is a form of cancer that originates in the pigment-producing cells, known as melanocytes, of the skin. Delay wound healing is often correlated with the occurrence of and progression of SKCM. In this comprehensive study, we investigated the intricate roles of two important wound healing genes in SKCM, including Matrix Metalloproteinase-2 (MMP2) and Matrix Metalloproteinase-9 (MMP9). Through a multi-faceted approach, we collected clinical samples, conducted molecular experiments, including RT-qPCR, bisulphite sequencing, cell culture, cell Counting Kit-8, colony formation, and wound healing assays. Beside this, we also used various other databases/tools/approaches for additional analysis including, UALCAN, GEPIA, HPA, MEXPRESS, cBioPortal, KM plotter, DrugBank, and molecular docking. Our results revealed a significant up-regulation of MMP2 and MMP9 in SKCM tissues compared to normal counterparts. Moreover, promoter methylation analysis suggested an epigenetic regulatory mechanism. Validations using TCGA datasets and immunohistochemistry emphasized the clinical relevance of MMP2 and MMP9 dysregulation. Functional assays demonstrated their synergistic impact on proliferation and migration in SKCM cells. Furthermore, we identified potential therapeutic candidates, Estradiol and Calcitriol, through drug prediction and molecular docking analyses. These compounds exhibited binding affinities, suggesting their potential as MMP2/MMP9 inhibitors. Overall, our study elucidates the diagnostic, prognostic, and therapeutic implications of MMP2 and MMP9 in SKCM, shedding light on their complex interplay in SKCM occurrence and progression.
Wound complications after surgery for ankle fractures can lead to catastrophic consequences. The purpose of this study was to evaluate the risk factors of postoperative wound complications in patients with ankle fracture and to determine their effects on prognosis. 200 patients with ankle fracture treated in our hospital from October 2021 to December 2023 were analysed retrospectively. The total incidence of postoperative wound complications was 19% (38/200). Type of complications: wound edge necrosis 15 cases (39.47%), dehiscence (reopening of wound) 13 cases (34.21%), delayed healing (>30 days) 10 cases (26.32%); Univariate analysis showed that patients' age, body mass index (BMI), current smoking, alcoholism, diabetes mellitus, injury mechanism, open fracture, wound classification, higher American Society of Anesthesiologists (ASA) score and operation time were all associated with postoperative wound complications. Multivariate Logistic regression model shows: age ≥60 years old OR3.671 (1.875–5.937), BMI OR1.198 (1.143–1.324), current smoking OR2.727 (1.251–5.602), alcoholism OR1.143 (1.034–1.267), complicated with diabetes OR2.763 (1.236–4.852), injury mechanism (high vs. low and medium energy) OR2.437 (1.238–4.786), open fracture OR1.943 (1.8262.139), wound classification (II vs. I) OR4.423 (1.73511.674), ASA score (III–IV vs. I–II) OR1.307 (1.113–2.194) was an independent risk factor for postoperative wound complications in patients with ankle fracture. Further, ROC curves showed that these nine independent influences had high accuracy and validity in predicting postoperative wound complications in patients with ankle fractures. In conclusion, independent risk factors for postoperative complications of ankle fracture were age >60 years, BMI, injury mechanism, open fracture, wound classification (II vs. I), ASA score, current smoking, and alcoholism. The wound classification (II vs. I) has the highest diagnostic value.
Due to the high risks of postoperative complications brought on by gastric cancer, traditional Chinese medicine (TCM) as a commonly used therapy, has exerted its vital role in postoperative recovery care. In this sense, this meta-analysis was conducted to explore the related documents about TCM's impact on gastric cancer postoperative recovery. During the research, we explored a total of 1549 results from databases PubMed, China National Knowledge Infrastructure (CNKI), Embase, Cochrane Library and Web of Science (WoS). Thirty-two clinical randomized trials (RCTs) were then selected and analysed for this meta-analysis by using the software RevMan 5.4 (under PRISMA 2020 regulations), with a population of 3178 patients. Data prove that TCM therapy reduced the risks for postoperative complications exposure by an estimated average of 19% (95% CI). Among the complications, TCM therapy suppressed the risks of wound infection and incisional infections by 53% and 48% respectively. Meanwhile, the patient's wound healing duration exhibited a significant reduction compared to those without TCM treatment, with a difference at around 0.74 days (95% CI). TCM also exerted its potential to strengthen the patient's immune and health conditions, leading to a significantly promoted gastrointestinal function in the patients with a shorter duration to release first exhaustion and defecation compared to those with no TCM therapy. In addition, similar promoted phenomena also exist in those patients with TCM therapy in terms of their immunity and nutritional conditions. These facts all indicate a positive impact of TCM therapy in clinical applications.
Wound infection is a serious complication that impacts the prognosis of patients after colorectal surgery (CS). Probiotics and synbiotics (Pro and Syn) are live bacteria that produce bacteriostatic agents in the intestinal system and have a positive effect on postoperative wound infections. The purpose of this study was to evaluate the effect of Pro and Syn on complications of wound infection after CS. In November 2023, we searched relevant clinical trial reports from Pubmed, Cochrane Library, and Embase databases and screened the retrieved reports, extracted data, and finally analysed the data by using RevMan 5.3. A total of 12 studies with 1567 patients were included in the study. Pro and Syn significantly reduced total infection (OR, 0.44; 95% CI, 0.35, 0.56; p < 0.00001), surgical incision site infection (SSI) (OR, 0.61; 95% CI, 0.45, 0.81; p = 0.002), pneumonia (OR, 0.43; 95% CI, 0.25, 0.72; p = 0.001), urinary tract infection (OR, 0.28; 95% CI, 0.14, 0.56; p = 0.0003), and Pro and Syn did not reduce anastomotic leakage after colorectal surgery (OR, 0.84; 95% CI, 0.50, 1.41; p = 0.51). Pro and Syn can reduce postoperative wound infections in patients with colorectal cancer, which benefits patients' postoperative recovery.
To synthesise the composition and effectiveness of computer-based patient decision aid (PDAs) in interventions for patients with chronic diseases.
A systematic review with meta-analysis.
Five databases were searched, and only randomised controlled trials (RCTs)were included. This review was conducted with the PRISMA guidelines. The JBI Appraisal Tools for randomised trials were used to assess the risk of bias. We used the random-effects model to conduct meta-analyses. Evidence from RCTs was synthesised using standardised mean differences or mean differences. The GRADE system was employed to assess the certainty of evidence and recommendations. This study was registered on PROSPERO (number: CRD42022369340).
PubMed, Embase, Web of Science, CINAHL and Cochrane Library were searched for studies published before October 2022.
The review included 22 studies, and most computer-based PDAs reported information on the disease, treatment options, pros and cons and risk comparison and value clarification. The use of computer-based PDAs showed a significant effect on decision conflict and knowledge, but not on decision regret, satisfaction, self-efficacy, anxiety and quality of life. The overall GRADE certainty of evidence was low.
Although the quality of evidence was low, however, using computer-based PDAs could reduce decision conflict and enhance knowledge when making medical decisions. More research is needed to support the contention above.
Computer-based PDAs could assist health-care providers and patients in the shared decision-making process and improving the quality of decision-making.
This study adhered to PRISMA guidelines.
Peritoneal dialysis(PD) is one of the most efficient methods in end-stage kidney disease, and it is very important for PD to perform well. No research has been conducted to evaluate the effect of various types of PD catheters on the prognosis of post-operative wound complications. While recent meta-analyses are in favour of straight tubing, there is still uncertainty as to whether direct or coiled PD is beneficial. The purpose of this meta-analysis was to compare the efficacy of direct and coiled PD catheters on the incidence of post-operative wound infection, bleeding and peritonitis. A comprehensive search was carried out on three databases, including PubMed and Embase, and a manual search was carried out on the links in the paper. The results showed that the incidence rate of bleeding after operation and the degree of infection among the straight and coiled pipes were compared. The results showed that there were no statistically significant differences in the incidence of post-operative wound infection among straight PD patients with coiled PD (OR, 0.79; 95% CI, 0.58–1.08 p = 0.13). No statistical significance was found in the case of PD with coiled tubing compared with that of straight PD group in wound leakage (OR, 1.17; 95% CI, 0.71–1.93 p = 0.55). No statistically significantly different rates of post-operative peritonitis were observed for coiled tubing compared with straight ones in PD patients (OR, 1.06; 95% CI, 0.78–1.45 p = 0.7). There is no statistical significance on the rate of wound infection, wound leakage and peritonitis among coiled and straight tube in PD.
FreshRSS 