scholarly journals Systematic review on risk factors of rotator cuff tears

2017 ◽  
Vol 25 (1) ◽  
pp. 230949901668431 ◽  
Author(s):  
Andrew Arjun Sayampanathan ◽  
Tan Hwee Chye Andrew
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Rotator Cuff ◽  
Meta Analysis ◽  
Random Effect ◽  
Female Gender ◽  
Analysis Data ◽  
Rotator Cuff Tears ◽  
Dominant Hand ◽  
Random Effect Models

Purpose: Rotator cuff tears (RCTs) occur commonly, especially among certain groups of individuals. In this meta-analysis, we aim to identify risk factors for RCTs. Methods: We searched MEDLINE for 210 articles. Seventeen articles were selected for systematic review, of which 10 were eligible for meta-analysis. Data was analysed with Review Manager 5.3, using Mantel–Haenszel statistics and random effect models. Results: A total of 6653 individuals were analysed. The odds of sustaining a RCT on the dominant hand was 2.30 times more than the non-dominant hand (95% confidence interval (CI): 1.01–5.25, Z = 1.99, p = 0.05; Heterogenity: τ2 = 0.38, χ2 = 8.84, df = 2 ( p = 0.01), I2 = 77%). The odds of an individual aged 60 years and above sustaining a RCT was 5.07 times higher than an individual less than 60 years old (95% CI: 2.45–10.51, Z = 4.37, p < 0.001; Heterogenity: τ2 = 0.47, χ2 = 25.24, df = 3 ( p < 0.001), I2 = 88%). Female gender was not a significant association, with an odds ratio of 0.98 when compared to the male gender (95% CI: 0.66–1.45, Z = 0.09, p = 0.93; Heterogenity: τ2 = 0.20, χ2 = 44.24, df = 5 ( p < 0.001), I2 = 89%). Conclusions: Hand dominance and older age are associated with RCTs. More studies are required for further assessment of associations and risk factors of RCTs.

scholarly journals Factors affecting the incidence of postoperative periprosthetic fractures following primary and revision hip arthroplasty: a systematic review and meta-analysis

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Christos Bissias ◽  
Angelos Kaspiris ◽  
Athanasios Kalogeropoulos ◽  
Konstantinos Papoutsis ◽  
Nikolaos Natsioulas ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Risk Factors ◽  
Systematic Review ◽  
Meta Analysis ◽  
Revision Arthroplasty ◽  
Female Gender ◽  
Periprosthetic Fractures ◽  
Factors Affecting ◽  
Potential Risk Factors ◽  
Grade 3

Abstract Objectives The increasing number of hip arthroplasties (HA), due to the growing elderly population, is associated with the risk of femoral periprosthetic fractures (FPFs). The purpose of this study was to identify potential risk factors for the development of FPFs after HA. Methods A systematic review was conducted in five data bases (Medline, Embase, Cochrane, Cinahl, ICTRP) according to the Preferred Reporting Items for Systematic reviews and Meta-analysis (PRISMA) guidelines up to May 2019, using the key words “risk factor,” “periprosthetic fracture,” and “hip replacement or arthroplasty.” Meta-analysis of the clinical outcomes of HA and subgroup analysis based on the factors that were implicated in FPFs was performed. Results Sixteen studies were included (sample size: 599,551 HA patients, 4253 FPFs, incidence 0.71%). Risk factors statistically associated with increased incidence of FPFs were female gender (+ 40%), previous revision arthroplasty surgery (× 3 times), and the presence of rheumatoid arthritis (× 2.1 times), while osteoarthritis (− 57%), cement application (− 59%), and insertion of Biomet (− 68%) or Thompson’s prosthesis (− 75%) were correlated with low prevalence of FPFs. Obesity, cardiac diseases, advanced age, bad general health (ASA grade ≥ 3), and use of Exeter or Lubinus prosthesis were not linked to the appearance of FPFs. Conclusion This meta-analysis suggested that female gender, rheumatoid arthritis, and revision arthroplasty are major risk factors for the development of FPFs after a HA. In those patients, frequent follow-ups should be planned. Further prospective studies are necessary to clarify all the risk factors contributing to the appearance of FPFs after HA.

scholarly journals An Evidence-Based Approach to Assess the Accuracy of MRI in Diagnosing Rotator Cuff Tears: A Systematic Review and Meta-Analysis

2019 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Wen-Fei Li ◽  
Tahir Mehmood Shakir ◽  
Yuemei Zhao ◽  
Tao Chen ◽  
Chen Niu ◽  
...  
Keyword(s):  
Systematic Review ◽  
Rotator Cuff ◽  
Meta Analysis ◽  
Rotator Cuff Tears ◽  
Evidence Based

Treatment of Rotator Cuff Tears: A Systematic Review and Meta-Analysis

2021 ◽  
Author(s):  
Peter Lapner ◽  
Patrick Henry ◽  
George S. Athwal ◽  
Joel Moktar ◽  
Daniel McNeil ◽  
...  
Keyword(s):  
Systematic Review ◽  
Rotator Cuff ◽  
Meta Analysis ◽  
Rotator Cuff Tears

scholarly journals Efficacy of concomitant acromioplasty in the treatment of rotator cuff tears: A systematic review and meta-analysis

PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0207306 ◽  
Author(s):  
Cong Cheng ◽  
Bin Chen ◽  
Hongwei Xu ◽  
Zhongwei Zhang ◽  
Weibin Xu
Keyword(s):  
Systematic Review ◽  
Rotator Cuff ◽  
Meta Analysis ◽  
Rotator Cuff Tears

scholarly journals Mortality rate and predictors of Stroke: A Meta-Analysis and Systematic Review

2019 ◽  
Author(s):  
Amanual Getnet Mersha ◽  
Tadesse Melaku Abegaz ◽  
Mohammed Assen Seid ◽  
Eyob Alemayehu Gebreyohannes ◽  
Akshaya Srikanth Bhagavath ◽  
...  
Keyword(s):  
Systematic Review ◽  
Risk Factor ◽  
Observational Studies ◽  
Meta Analysis ◽  
Random Effect ◽  
Stroke Mortality ◽  
Stroke Event ◽  
Meta Analyses ◽  
Random Effect Models ◽  
Overall Mortality

Abstract Background Global data on stroke mortality remained to be sparse. In light of this, we aimed to conduct a Meta-analysis and systematic review of observational studies to estimate the mortality of stroke and to identify risk factors that predispose patients for stroke-related death.Methods This study was conducted based on the Meta-Analyses of Observational Studies in Epidemiology (MOOSE) guidelines. Overall mortality, in-hospital and 30- day mortality due to stroke were the primary outcome measures of the study. The meta-analysis was performed using Stata (Version 14, Stata Corp, College Station, Texas). Random-effect models were used for estimating pooled effects.Findings Overall, thirty two studies assessed overall mortality due to stroke. A total number of 2,885, 126 patients were recruited for the study. Pooled estimate indicated that the overall mortality of stroke was reported to be 20% (19%-22%). Whereas, the 30-day and In-hospital mortality were found to be 18% (16%-20%) and 16% (16%-19%), respectively. A subgroup analysis revealed that Africa registered the highest stroke-related death 29% (23%-36%). Hypertension was found to be an important risk factor for mortality secondary to stroke 61.9% (52.8%-71.1%).Conclusion Overall mortality of stroke was estimated to be twenty percent. The burden of stroke mortality was prominent in Africa region. Hypertension remained to be an independent risk factor for stroke mortality. Mortality of stroke can be minimized by establishing stroke centers that promptly deliver emergency management of stroke event.

scholarly journals Summarising and synthesising regression coefficients through systematic review and meta-analysis for improving hypertension prediction using metamodelling: protocol

BMJ Open ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. e036388
Author(s):  
Mohammad Ziaul Islam Chowdhury ◽  
Iffat Naeem ◽  
Hude Quan ◽  
Alexander A Leung ◽  
Khokan C Sikdar ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Risk Prediction ◽  
Prediction Models ◽  
Assessment Tool ◽  
Meta Analysis ◽  
Grey Literature ◽  
Random Effect ◽  
Regression Coefficients ◽  
Risk Prediction Models

IntroductionHypertension is one of the most common medical conditions and represents a major risk factor for heart attack, stroke, kidney disease and mortality. The risk of progression to hypertension depends on several factors, and combining these risk factors into a multivariable model for risk stratification would help to identify high-risk individuals who should be targeted for healthy behavioural changes and/or medical treatment to prevent the development of hypertension. The risk prediction models can be further improved in terms of accuracy by using a metamodel updating technique where existing hypertension prediction models can be updated by combining information available in existing models with new data. A systematic review and meta-analysis will be performed of hypertension prediction models in order to identify known risk factors for high blood pressure and to summarise the magnitude of their association with hypertension.Methods and analysisMEDLINE, Embase, Web of Science, Scopus and grey literature will be systematically searched for studies predicting the risk of hypertension among the general population. The search will be based on two key concepts: hypertension and risk prediction. The summary statistics from the individual studies will be the regression coefficients of the hypertension risk prediction models, and random-effect meta-analysis will be used to obtain pooled estimates. Heterogeneity and publication bias will be assessed, along with study quality, which will be assessed using the Prediction Model Risk of Bias Assessment Tool checklist.Ethics and disseminationEthics approval is not required for this systematic review and meta-analysis. We plan to disseminate the results of our review through journal publications and presentations at applicable platforms.

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