scholarly journals Corrigendum to “Current Status of Sodium Bicarbonate in Coronary Angiography: An Updated Comprehensive Meta-Analysis and Systematic Review”

2018 ◽  
Vol 2018 ◽  
pp. 1-1
Author(s):  
Sadeq Ali-Hasan-Al-Saegh ◽  
Seyed Jalil Mirhosseini ◽  
Elham Rahimizadeh ◽  
Zahra Ghodratipour ◽  
Zahra Sarrafan-Chaharsoughi ◽  
...  
2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Sadegh Ali-Hassan-Sayegh ◽  
Seyed Jalil Mirhosseini ◽  
Elham Rahimizadeh ◽  
Zahra Ghodratipour ◽  
Zahra Sarrafan-Chaharsoughi ◽  
...  

This systematic review with meta-analysis sought to determine comparison of efficacy and safety of hydration with sodium bicarbonate versus sodium chloride on contrast induced nephropathy and clinical outcomes. We searched major electronic databases for studies in randomized controlled trials. A value ofP<0.1for Q test orI2>50% indicated significant heterogeneity between the studies. Literature search of all databases retrieved 650 studies. 29 studies enrolled in meta-analysis. Pooled analysis indicated about the incidence of CIN (OR of 0.718; 95% CI: 0.60 to 0.85;P=0.000), requirement of hemodialysis (OR of 1.00; 95% CI: 0.49 to 2.01;P=0.9), mean changes of serum creatinine (WMD of 2.321; 95% CI: 1.995 to 2.648;P=0.000), length of hospital stays (WMD of −0.774; 95% CI: −1.65 to 0.10;P=0.08), major adverse cardiovascular events (OR = 1.075, 95% CI: 0.59 to 1.95;P=0.8), and mortality (OR of 0.73; 95% CI: 0.42 to 1.26;P=0.2). Overall, hydration with sodium bicarbonate could significantly reduce CIN and the length of hospital stay compared to sodium chloride. In addition NAC added as a supplement to sodium bicarbonate could increase prophylactic effects against nephropathy.


2018 ◽  
Vol 34 (2) ◽  
pp. 180-194 ◽  
Author(s):  
Michelle Welsford ◽  
Matthias Bossard ◽  
Colleen Shortt ◽  
Jodie Pritchard ◽  
Madhu K. Natarajan ◽  
...  

Angiology ◽  
2016 ◽  
Vol 68 (5) ◽  
pp. 389-413 ◽  
Author(s):  
Sadegh Ali-Hassan-Sayegh ◽  
Seyed Jalil Mirhosseini ◽  
Zahra Ghodratipour ◽  
Zahra Sarrafan-Chaharsoughi ◽  
Elham Rahimizadeh ◽  
...  

This systematic review with meta-analysis sought to determine the strength of evidence for the effects of hydration (sodium bicarbonate [SB] and normal saline [NS]), supplementations ( N-acetylcysteine [NAC] and vitamin C), and some common drugs (adenosine antagonists [AAs], statins, loop diuretics, and angiotensin-converting enzyme inhibitors [ACEIs]) on the incidence of contrast-induced nephropathy (CIN) and requirement for hemodialysis after coronary angiography. After screening, a total of 125 trials that reported outcomes were identified. Pooled analysis indicated beneficial effects of SB versus NS (odds ratio [OR] = 0.73; 95% confidence interval [CI]: 0.56-0.94; P = .01), NAC (OR = 0.79; 95% CI: 0.70-0.88; P = .001), vitamin C (OR = 0.64; 95% CI: 0.45-0.89; P = .01), statins (OR = 0.45; 95% CI: 0.35-0.57; P = .001), AA (OR = 0.28; 95% CI: 0.14-0.47; P = .001), loop diuretics (OR = 0.97; 95% CI: 0.33-2.85; P = .9), and ACEI (OR = 1.06; 95% CI: 0.69-1.61; P = .8). Overall, hydration with SB, use of supplements, such as NAC and vitamin C, and administration of statins and AA should always be considered for the prevention of CIN after coronary angiography.


2021 ◽  
Author(s):  
Jiyeon Yu ◽  
Angelica de Antonio ◽  
Elena Villalba-Mora

BACKGROUND eHealth and Telehealth play a crucial role in assisting older adults who visit hospitals frequently or who live in nursing homes and can benefit from staying at home while being cared for. Adapting to new technologies can be difficult for older people. Thus, to better apply these technologies to older adults’ lives, many studies have analyzed acceptance factors for this particular population. However, there is not yet a consensual framework to be used in further development and the search for solutions. OBJECTIVE This paper presents an Integrated Acceptance Framework (IAF) for the older user’s acceptance of eHealth, based on 43 studies selected through a systematic review. METHODS We conducted a four-step study. First, through a systematic review from 2010 to 2020 in the field of eHealth, the acceptance factors and basic data for analysis were extracted. Second, we carried out a thematic analysis to group the factors into themes to propose and integrated framework for acceptance. Third, we defined a metric to evaluate the impact of the factors addressed in the studies. Last, the differences amongst the important IAF factors were analyzed, according to the participants’ health conditions, verification time, and year. RESULTS Through the systematic review, 731 studies were founded in 5 major databases, resulting in 43 selected studies using the PRISMA methodology. First, the research methods and the acceptance factors for eHealth were compared and analyzed, extracting a total of 105 acceptance factors, which were grouped later, resulting in the Integrated Acceptance Framework. Five dimensions (i.e., personal, user-technology relational, technological, service-related, environmental) emerged with a total of 23 factors. Also, we assessed the quality of the evidence. And then, we conducted a stratification analysis to reveal the more appropriate factors depending on the health condition and the assessment time. Finally, we assess which are the factors and dimensions that are recently becoming more important. CONCLUSIONS The result of this investigation is a framework for conducting research on eHealth acceptance. To elaborately analyze the impact of the factors of the proposed framework, the criteria for evaluating the evidence from the studies that have extracted factors are presented. Through this process, the impact of each factor in the IAF has been presented, in addition to the framework proposal. Moreover, a meta-analysis of the current status of research is presented, highlighting the areas where specific measures are needed to facilitate e-Health acceptance.


2016 ◽  
Vol 118 (10) ◽  
pp. 1473-1479 ◽  
Author(s):  
Jeremiah R. Brown ◽  
Daniel M. Pearlman ◽  
Emily J. Marshall ◽  
Shama S. Alam ◽  
Todd A. MacKenzie ◽  
...  

2021 ◽  
Author(s):  
Ghada Alhussein ◽  
Leontios Hadjileontiadis

BACKGROUND Osteoporosis is the fourth most common chronic disease in the world. Adopting preventative measures and effective self-management interventions help in improving bone health. Mobile health (mHealth) technologies can play a key role in osteoporosis patient care and self- management. OBJECTIVE This study presents a systematic review and meta-analysis of the currently available mHealth applications targeting osteoporosis self-management, aiming to determine the current status, gaps and challenges the future research could address, proposing appropriate recommendations. METHODS In this systematic review and meta-analysis, we searched PubMed, Scopus, EBSCO, Web of Science, and IEEExplore databases between Jan 1, 2010 and May 31, 2021, for all English publications that describe apps dedicated to or being useful for osteoporosis, targeting self-management, nutrition, physical activity, risk assessment, delivered on smartphone devices for young and older adults. In addition, a survey of all osteoporosis-related apps available in iOS and Android app stores as of May 31, 2021 was also conducted. Primary outcomes of interest were the prevention or reduction of unhealthy behaviours or improvement in healthy behaviours of the six behaviours. Outcomes were summarised in a narrative synthesis and combined using random-effects meta-analysis. RESULTS In total, 3906 unique articles were identified. Of these, 32 articles met the inclusion criteria and were reviewed in depth. The 32 studies were comprising 14 235 participants, of whom on average 69.5% were female, with a mean age of 49.8 years (SD 17.8). The app search identified 23 relevant apps for osteoporosis self-management. The meta-analysis revealed that mHealth supported interventions resulted in a significant reduction in pain (Hedge’s g -1.09, 95%CI -1.68 to -0.45) and disability (Hedge’s g -0.77, 95%CI -1.59 to 0.05). The post-treatment effect of the digital intervention was significant for physical function (Hedge’s g 2.54, 95%CI -4.08 to 4.08); yet nonsignificant for wellbeing (Hedge’s g 0.17, 95% CI -1.84 to 2.17), physical activity (Hedges’ g 0.09, 95%CI -0.59 to 0.50), anxiety (Hedge’s g -0.29, 95%CI -6.11 to 5.53), fatigue (Hedge’s g -0.34, 95%CI -5.84 to 5.16), calcium (Hedge’s g -0.05, 95%CI -0.59 to 0.50) and vitamin D (Hedge’s g 0.10, 95% CI -4.05 to 4.26) intake, and trabecular score (Hedge’s g 0.06, 95%CI -1.00 to 1.12). CONCLUSIONS Osteoporosis apps have the potential to support and improve the management of the disease and its symptoms; they also appear to be a valuable tool for patients and health professionals. However, the majority of the apps that are currently available lack clinically validated evidence of their efficacy and they most focus on a limited number of symptoms. A more holistic and personalized approach, within a co-creation design ecosystem, is needed.


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