A meta-analysis of the secondary fractures for osteoporotic vertebral compression fractures after percutaneous vertebroplasty.

ABSTRACT: To identify the risk factors of the secondary fractures for osteoporotic vertebral compression fractures (OVCFs) after percutaneous vertebroplasty (PVP).We conducted a search of relevant articles using Cochrane Library, PubMed, Medline, Science Direct, Embase, the Web of Science and other databases. The time range we retrieved from establishment of the electronic database to November 2017. Gray studies were found in the references of included literature reports. STATA version 11.0 (Stata Corporation, College Station, Texas) was used to analyze the pooled data.Fourteen studies involving 1910 patients, 395 of whom had fracture secondary to the surgery were included in this meta-analysis. The result of meta-analyses showed the risk factors of the secondary fractures for OVCFs after PVP was related to bone mineral density (BMD) [95%CI (-0.650, -0.164), SMD=-0.407, P=.001], cement leakage ((RR=0.596, 95%CI (0.444,0.798), P = .001)), and kyphosis after primary operation ((SMD=0.741, 95%CI (0.449,1.032), P = .000)), but not to gender, age, body mass index, cement volume, thoracolumbar spine, and cement injection approaches.Bone mineral density, cement leakage, and kyphosis after primary operation are the risk factors closely correlative to the secondary fracture after PVP. There have not been enough evidences to support the association between the secondary fracture and gender, age, body mass index, cement volume, thoracolumbar spine, and cement injection approaches.

Cemented versus uncemented hemiarthroplasty for elderly patients with displaced fracture of the femoral neck: A PRISMA-compliant meta-analysis of randomized controlled trial.

BACKGROUND: This meta-analysis was performed to incorporate newly published, high-quality randomized controlled trials (RCTs) to determine the effects of cemented versus uncemented hemiarthroplasty for elderly patients with displaced fracture of the femoral neck. METHODS: The following electronic databases were extensively searched from the inception of the database through December 2018: EMBASE, Medline, the Cochrane Library, and Web of Science. RCTs focusing on the outcomes of cemented and uncemented hemiarthroplasty were reviewed and screened for eligibility. We used the Cochrane Collaboration's Review Manager Software to perform meta-analyses. Two independent reviewers extracted the data and assessed the study quality and bias risk through the Cochrane Collaboration tool. Use fixed effect model or random effect model to pooled data. Cochran's Q statistic was used to evaluate heterogeneity, and I statistic was used to quantify heterogeneity. RESULTS: Fifteen RCTs were enrolled (n = 3790) (uncemented hemiarthroplasty group = 1015; cemented hemiarthroplasty group = 1037) (mean age ranged from 70-85.3 years; all patients > 65 years). The meta-analysis showed that cemented hemiarthroplasty has a longer operating time (weighted mean difference, 8.03; 95% confidence interval (CI) 4.83-11.23; P < .00001), less pain (odds ratio, 0.48; 95% CI 4.83-11.23; P = .02), lower mortality 1-year (odds ratio, 0.78; 95% CI 0.62-0.98; P = .03) and fewer implant-related complications (odds ratio, 0.20; 95% CI 0.13-0.30; P < .00001) than Uncemented hemiarthroplasty. However, there are still some limitations in our study, such as the uniformity of the surgery administration programme and rehabilitation scheme, and the small sample size of the included studies. CONCLUSIONS: Cemented hemiarthroplasty for elderly patients with displaced fracture of femoral neck may acquire better functional results.

Factors associated with postoperative axial symptom after expansive open-door laminoplasty: retrospective study using multivariable analysis.

PURPOSE: The aim of the present study was to investigate the factors associated with axial symptom using multivariable analysis. METHODS: The authors retrospectively assessed 249 patients treated by open-door laminoplasty. The patients were classified into two groups: axial symptom and no axial symptom group. The possible factors included demographic variables (age, sex, BMI, smoking, heart disease, diabetes, preoperative neck pain, preoperative JOA scores, preoperative NDI, course of disease and pathogenesis) and surgical and radiological variables [operation time, intraoperative blood loss, collar wear time, preoperative cervical curvature, postoperative cervical curvature, T1 slope, preoperative and postoperative C2 sagittal vertical axis (C2 SVA)]. RESULTS: The prevalence of axial symptom was 34.9% (89/249). The collar wear time, preoperative and postoperative C2 SVA were risk factors for axial symptom. A cutoff value of 22.6 mm for preoperative C2 SVA and 3.5 weeks for collar wear time predicted the development of axial symptom. CONCLUSIONS: The longer collar wear time, larger preoperative and postoperative C2 SVA were positively correlated with the higher incidence of axial symptom.

Exploring the Key Genes and Pathways in the Formation of Corneal Scar Using Bioinformatics Analysis.

The Corneal wound healing results in the formation of opaque corneal scar. In fact, millions of people around the world suffer from corneal scars, leading to loss of vision. This study aimed to identify the key changes of gene expression in the formation of opaque corneal scar and provided potential biomarker candidates for clinical treatment and drug target discovery. We downloaded Gene expression dataset GSE6676 from NCBI-GEO, and analyzed the Differentially Expressed Genes (DEGs), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment pathway analyses, and protein-protein interaction (PPI) network. A total of 1377 differentially expressed genes were identified and the result of Functional enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) identification and protein-protein interaction (PPI) networks were performed. In total, 7 hub genes IL6 (interleukin-6), MMP9 (matrix metallopeptidase 9), CXCL10 (C-X-C motif chemokine ligand 10), MAPK8 (mitogen-activated protein kinase 8), TLR4 (toll-like receptor 4), HGF (hepatocyte growth factor), EDN1 (endothelin 1) were selected. In conclusion, the DEGS, Hub genes and signal pathways identified in this study can help us understand the molecular mechanism of corneal scar formation and provide candidate targets for the diagnosis and treatment of corneal scar.