scholarly journals Total elbow arthroplasty in patients with rheumatoid arthritis

2020 ◽  
Vol 102-B (8) ◽  
pp. 967-980
Author(s):  
Te-Feng A. Chou ◽  
Hsuan-Hsiao Ma ◽  
Jou-Hua Wang ◽  
Shang-Wen Tsai ◽  
Cheng-Fong Chen ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Risk Factors ◽  
Regression Analysis ◽  
Implant Failure ◽  
Complication Rates ◽  
Younger Patients ◽  
Mode Of Failure ◽  
The Mean ◽  
Meta Regression ◽  
Meta Regression Analysis

Aims The aims of this study were to validate the outcome of total elbow arthroplasty (TEA) in patients with rheumatoid arthritis (RA), and to identify factors that affect the outcome. Methods We searched PubMed, MEDLINE, Cochrane Reviews, and Embase from between January 2003 and March 2019. The primary aim was to determine the implant failure rate, the mode of failure, and risk factors predisposing to failure. A secondary aim was to identify the overall complication rate, associated risk factors, and clinical performance. A meta-regression analysis was completed to identify the association between each parameter with the outcome. Results A total of 38 studies including 2,118 TEAs were included in the study. The mean follow-up was 80.9 months (8.2 to 156). The implant failure and complication rates were 16.1% (95% confidence interval (CI) 0.128 to 0.200) and 24.5% (95% CI 0.203 to 0.293), respectively. Aseptic loosening was the most common mode of failure (9.5%; 95% CI 0.071 to 0.124). The mean postoperative ranges of motion (ROMs) were: flexion 131.5° (124.2° to 138.8°), extension 29.3° (26.8° to 31.9°), pronation 74.0° (67.8° to 80.2°), and supination 72.5° (69.5° to 75.5°), and the mean postoperative Mayo Elbow Performance Score (MEPS) was 89.3 (95% CI 86.9 to 91.6). The meta-regression analysis identified that younger patients and implants with an unlinked design correlated with higher failure rates. Younger patients were associated with increased complications, while female patients and an unlinked prosthesis were associated with aseptic loosening. Conclusion TEA continues to provide satisfactory results for patients with RA. However, it is associated with a substantially higher implant failure and complication rates compared with hip and knee arthroplasties. The patient’s age, sex, and whether cemented fixation and unlinked prosthesis were used can influence the outcome. Level of Evidence: Therapeutic Level IV. Cite this article: Bone Joint J 2020;102-B(8):967–980.

scholarly journals Incidence of congestive heart failure in rheumatoid arthritis: a review of literature and meta‐regression analysis

2020 ◽  
Vol 7 (6) ◽  
pp. 3745-3753
Author(s):  
Yaser Khalid ◽  
Neethi Dasu ◽  
Ankit Shah ◽  
Keith Brown ◽  
Alan Kaell ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Heart Failure ◽  
Congestive Heart Failure ◽  
Regression Analysis ◽  
Review Of Literature ◽  
Meta Regression ◽  
Meta Regression Analysis

scholarly journals Systematic Review and Meta-Analysis of Fear of COVID-19

2021 ◽  
Vol 12 ◽  
Author(s):  
Faxiang Luo ◽  
Reza Ghanei Gheshlagh ◽  
Sahar Dalvand ◽  
Sholeh Saedmoucheshi ◽  
Qingyun Li
Keyword(s):  
Regression Analysis ◽  
Sample Size ◽  
Observational Studies ◽  
Meta Analysis ◽  
Target Population ◽  
Hospital Staff ◽  
Negative Effects ◽  
The Mean ◽  
Meta Regression ◽  
Meta Regression Analysis

Background: Due to lack of preparedness of health systems, fast spread of the new virus, high mortality rates, and lack of a definite treatment, the outbreak of Coronavirus disease (COVID-19) led to high levels of fear and anxiety in different populations. In addition, isolation, mental disorders, and limitations in social interactions as a result of lockdown and travel ban increased the fear of the new coronavirus.Methods: International databases, including Scopus, PubMed, Web of Science, and Google scholar, were searched without any time limitation, and all observational studies published in English reporting the mean of fear of COVID-19 based on the Fear of COVID-19 scale (FCV-19S) were included in the analysis. Methodological quality was assessed using the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines. Random effects model, subgroup analysis, and meta-regression analysis were used to analyze the data. Heterogeneity across studies was examined using Cochran's Q test and I2 statistic. All the statistical analyses were conducted using R software v4.0.3.Results: A total of 44 articles with a sample size of 52,462 were reviewed. A pooled mean of 18.57 was found for fear of COVID-19. The mean of fear of COVID-19 was higher in women than in men (20.67 vs. 18.21). The highest and lowest means of fear of COVID-19 had been found in Asia (18.36) and Australia (17.43) based on continent, and in hospital staff (19.51) and college students (17.95) based on target population, respectively. In addition, the highest and lowest means of fear of COVID-19 were related to items #1 and #3 of the scale, respectively. According to the results of meta-regression analysis, there was no significant association between the mean of fear of COVID-19 and sample size and participants' age. In addition, publication error was not significant (P = 0.721).Conclusion: The mean of fear of COVID-19 was high around the world; therefore, it seems necessary to pay more attention to the negative effects of the COVID-19 pandemic on mental health.

scholarly journals Meta-regression Analysis of Technical (In)Efficiency in Agriculture: a Regional Approach

2021 ◽  
Vol 17 (3) ◽  
pp. 917-928
Author(s):  
Micael Queiroga dos Santos ◽  
Ana Alexandra Marta-Costa ◽  
Xosé Antón Rodríguez
Keyword(s):  
Regression Analysis ◽  
Low Income ◽  
Developed Countries ◽  
Productive Efficiency ◽  
Low Income Countries ◽  
Future Research ◽  
Technical Inefficiency ◽  
The Mean ◽  
Meta Regression ◽  
Meta Regression Analysis

While scientific studies have not reached a consensus on the methodology for examining Technical Efficiency (or Inefficiency), the influence of regions appears to be important for efficiency scores. Therefore, this research aims to investigate the empirical procedures for the achievement of more robust results in the analysis of productive efficiency, as well as to evaluate the effect of the location of farms on such efficiency. The goal was to check whether the most developed regions are the most efficient. Meta-regression analysis provides an adequate method for an accurate assessment of both situations. This technique was applied based on a database of 166 observations on the agricultural sector from countries around the world, published in the period 2010–2017. The criteria used for the database collection and for the conceived model were not previously used and, thereby, enrich the discussion on the topic. The procedure aims to check the variation in the Mean of Technical Inefficiency and conduct an analysis using Quasi-Maximum Likelihood Estimation. The regressions showed that the Mean of Technical Inefficiency could be mainly explained by data, variables, employed empirical models and the region of study. The studies that focus on farms of developed countries present the lowest Mean of Technical Inefficiency, while studies for developing or low-income countries exhibit the opposite. Therefore, for future research on productive analysis, we suggest empirical procedures aimed at achieving robust results that take into account specific regional characteristics of farms.

scholarly journals Cardiovascular risk factors and mortality in hospitalized patients with COVID-19: systematic review and meta-analysis of 45 studies and 18,300 patients

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Angelo Silverio ◽  
Marco Di Maio ◽  
Rodolfo Citro ◽  
Luca Esposito ◽  
Giuseppe Iuliano ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Cardiovascular Risk ◽  
Hospital Mortality ◽  
Cardiovascular Risk Factors ◽  
Meta Analysis ◽  
Hospital Death ◽  
Male Sex ◽  
Meta Regression ◽  
Meta Regression Analysis

Abstract Background A high prevalence of cardiovascular risk factors including age, male sex, hypertension, diabetes, and tobacco use, has been reported in patients with Coronavirus disease 2019 (COVID-19) who experienced adverse outcome. The aim of this study was to investigate the relationship between cardiovascular risk factors and in-hospital mortality in patients with COVID-19. Methods MEDLINE, Cochrane, Web of Sciences, and SCOPUS were searched for retrospective or prospective observational studies reporting data on cardiovascular risk factors and in-hospital mortality in patients with COVID-19. Univariable and multivariable age-adjusted analyses were conducted to evaluate the association between cardiovascular risk factors and the occurrence of in-hospital death. Results The analysis included 45 studies enrolling 18,300 patients. The pooled estimate of in-hospital mortality was 12% (95% CI 9–15%). The univariable meta-regression analysis showed a significant association between age (coefficient: 1.06; 95% CI 1.04–1.09; p < 0.001), diabetes (coefficient: 1.04; 95% CI 1.02–1.07; p < 0.001) and hypertension (coefficient: 1.01; 95% CI 1.01–1.03; p = 0.013) with in-hospital death. Male sex and smoking did not significantly affect mortality. At multivariable age-adjusted meta-regression analysis, diabetes was significantly associated with in-hospital mortality (coefficient: 1.02; 95% CI 1.01–1.05; p = 0.043); conversely, hypertension was no longer significant after adjustment for age (coefficient: 1.00; 95% CI 0.99–1.01; p = 0.820). A significant association between age and in-hospital mortality was confirmed in all multivariable models. Conclusions This meta-analysis suggests that older age and diabetes are associated with higher risk of in-hospital mortality in patients infected by SARS-CoV-2. Conversely, male sex, hypertension, and smoking did not independently correlate with fatal outcome.

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