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Clinical Psychology Review Aug 2015There are an increasing number of studies exploring the association between voice-hearing (auditory verbal hallucinations) and dissociative experiences. The current... (Meta-Analysis)
Meta-Analysis Review
There are an increasing number of studies exploring the association between voice-hearing (auditory verbal hallucinations) and dissociative experiences. The current study provides a systematic literature review and meta-analytic synthesis of quantitative studies investigating the relationship between voice-hearing and dissociation. A systematic search identified and included 19 clinical studies, comprising 1620 participants, and 12 non-clinical studies, comprising 2137 participants, published between 1986 and 2014. Nineteen of these studies provided sufficient data to be included within the meta-analysis. The narrative review findings suggested that dissociative experiences may be implicated in voice-hearing, and may potentially be a mediating factor within the well-established trauma and voice-hearing relationship. Similarly, the meta-analytic findings suggested that the majority of the identified studies showed a significant positive relationship between dissociative experiences and voice-hearing. The magnitude of the summary effect was large and significant (r=.52), indicating a robust relationship between these two phenomena. However, considerable heterogeneity within the meta-analytic results and methodological limitations of the identified studies were evident, highlighting areas for future investigation. As the majority of the studies were cross-sectional by design, we recommended future research to include longitudinal designs with a view to exploring directional effects. Additionally, future studies should control for potential confounding factors. Clinical implications of the findings were also considered.
Topics: Comorbidity; Dissociative Disorders; Hallucinations; Humans
PubMed: 26117061
DOI: 10.1016/j.cpr.2015.06.004 -
Ageing Research Reviews Dec 2023Alterations in nitric oxide (NO) synthesis have been reported in Alzheimer's disease and vascular dementia. However, as the measurement of NO in biological samples is... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Alterations in nitric oxide (NO) synthesis have been reported in Alzheimer's disease and vascular dementia. However, as the measurement of NO in biological samples is analytically challenging, alternative, stable circulatory biomarkers of NO synthesis may be useful to unravel new pathophysiological mechanisms and treatment targets in dementia.
METHODS
We conducted a systematic review and meta-analysis of the circulating concentrations of arginine metabolites linked to NO synthesis, arginine, citrulline, asymmetric (ADMA) and symmetric (SDMA) dimethylarginine, and ornithine, in Alzheimer's disease and vascular dementia. We searched for relevant studies in PubMed, Scopus, and Web of Science from inception to the 31st of May 2023. The JBI checklist and GRADE were used to assess the risk of bias and the certainty of evidence, respectively.
RESULTS
In 14 selected studies, there were no significant between-group differences in arginine and ornithine concentrations. By contrast, compared to controls, patients with dementia had significantly higher ADMA (standard mean difference, SMD=0.62, 95% CI 0.06-1.19, p = 0.029), SDMA (SMD=0.70, 95% CI 0.34-1.35, p<0.001), and citrulline concentrations (SMD=0.50, 95% CI 0.08-0.91, p = 0.018). In subgroup analysis, the effect size was significantly associated with treatment with cholinesterase inhibitors and/or antipsychotics for ADMA, and underlying disorder (Alzheimer's disease), study continent, and analytical method for citrulline.
CONCLUSION
Alterations in ADMA, SDMA, and citrulline, biomarkers of NO synthesis, may be useful to investigate the pathophysiology of different forms of dementia and identify novel therapeutic strategies. (PROSPERO registration number: CRD42023439528).
Topics: Humans; Alzheimer Disease; Dementia, Vascular; Citrulline; Arginine; Biomarkers; Ornithine
PubMed: 38007048
DOI: 10.1016/j.arr.2023.102139 -
Health Psychology : Official Journal of... Jan 2022Significant proportions of burnout have been reported among both oncologists and oncology nurses. However, these groups have not been compared in a meta-analytic design.... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Significant proportions of burnout have been reported among both oncologists and oncology nurses. However, these groups have not been compared in a meta-analytic design. It is important to compare how burnout affects different types of health professionals to understand its individual implications and devise ways of minimizing and treating it.
OBJECTIVE
The current meta-analysis study aimed to systematically compare burnout prevalence between oncologists and oncology nurses.
METHOD
Authors assessed 34 studies (four included nurses and oncologists and 30 focused either on oncologists or oncology nurses) that used the Maslach Burnout Inventory (MBI) to measure burnout. Both fixed- and random-effects models were used to calculate meta-analytic estimates of the burnout subscales: emotional exhaustion (EE), depersonalization (DP), and personal accomplishment (PA).
RESULTS
The pooled sample size was 4,705 oncologists and 6,940 oncology nurses. The average proportions of EE, DP, and PA were 32%, 26%, and 25%, respectively, among oncologists and 32%, 21%, and 26%, respectively, among oncology nurses. Higher DP was found among oncologists compared with oncology nurses, only in the analysis of studies that included samples of both oncologists and oncology nurses. The subgroup analysis showed higher levels of DP in Europe and Asia and lower PA in Asia and Canada. No evidence of publication bias was found.
CONCLUSIONS
Findings suggest differences in burnout between oncologists and oncology nurses and among geographic regions. This highlights the need for tailored interventions for different professions and regions. Hospitals should provide support and encourage teamwork to improve oncology professionals' well-being and provide optimal care for patients. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Topics: Burnout, Professional; Burnout, Psychological; Emotions; Humans; Oncologists; Prevalence; Surveys and Questionnaires
PubMed: 35113585
DOI: 10.1037/hea0001155 -
Journal of Nephrology Aug 2014The metabolic syndrome is a cluster of cardiometabolic alterations at least partly dependent on reduced insulin sensitivity and hyperinsulinemia that can have several... (Meta-Analysis)
Meta-Analysis Review
The metabolic syndrome is a cluster of cardiometabolic alterations at least partly dependent on reduced insulin sensitivity and hyperinsulinemia that can have several renal implications. A systematic review and meta-analysis of studies available in the international literature in English language demonstrates that the metabolic syndrome occurrence is associated with a significantly higher prevalence of nephrolithiasis (odds ratio 1.29, 95% confidence intervals: 1.11-1.51). The pathophysiological bases of this association are currently not completely understood, however. Potential pathogenetic links between the two conditions include metabolic factors that promote insulin resistance as well as stone formation in urine, environmental factors such as diet, oxidative stress and inflammation, and molecular changes impacting the transport of some analytes in urine. Metabolic syndrome-related nephrolithiasis shows peculiar clinical and biochemical characteristics and should be considered a multifactorial systemic disorder needing a multidisciplinary approach for adequate prevention and management in pediatric and adult age.
Topics: Age Factors; Feeding Behavior; Humans; Kidney Calculi; Metabolic Syndrome; Nephrolithiasis
PubMed: 24696310
DOI: 10.1007/s40620-014-0085-9 -
Perspectives in Psychiatric Care Oct 2022This study aimed to clarify the mixed conclusions regarding work engagement and job satisfaction in the nursing research literature by conducting a systematic review and... (Meta-Analysis)
Meta-Analysis Review
PURPOSE
This study aimed to clarify the mixed conclusions regarding work engagement and job satisfaction in the nursing research literature by conducting a systematic review and meta-analysis.
DESIGN AND METHODS
This meta-analytic review synthesized 15 independent studies published between 2007 and 2021.
FINDINGS
An overall effect size of random-effect model was calculated as r = 0.47 (k = 15, N = 3,818, 95% confidence interval [0.43;0.51]). Data collection method and presence of control variable, as significant moderators, accounted for 43.6% and 43.8%, respectively, of the effect size heterogeneity.
PRACTICE IMPLICATIONS
While the positive relationship between work engagement and job satisfaction was higher in studies using the face-to-face data collection method, it was lower in studies using the control variable in their research models.
Topics: Humans; Job Satisfaction; Work Engagement; Nursing Research; Nursing Staff, Hospital; Surveys and Questionnaires
PubMed: 35383388
DOI: 10.1111/ppc.13068 -
Schizophrenia Bulletin Oct 2017Individuals with schizophrenia are burdened with impairments in functional outcome, despite existing interventions. The lack of understanding of the neurobiological... (Meta-Analysis)
Meta-Analysis Review
Individuals with schizophrenia are burdened with impairments in functional outcome, despite existing interventions. The lack of understanding of the neurobiological correlates supporting adaptive function in the disorder is a significant barrier to developing more effective treatments. This research conducted a systematic and meta-analytic review of all peer-reviewed studies examining brain-functional outcome relationships in schizophrenia. A total of 53 (37 structural and 16 functional) brain imaging studies examining the neural correlates of functional outcome across 1631 individuals with schizophrenia were identified from literature searches in relevant databases occurring between January, 1968 and December, 2016. Study characteristics and results representing brain-functional outcome relationships were systematically extracted, reviewed, and meta-analyzed. Results indicated that better functional outcome was associated with greater fronto-limbic and whole brain volumes, smaller ventricles, and greater activation, especially during social cognitive processing. Thematic observations revealed that the dorsolateral prefrontal cortex, anterior cingulate, posterior cingulate, parahippocampal gyrus, superior temporal sulcus, and cerebellum may have role in functioning. The neural basis of functional outcome and disability is infrequently studied in schizophrenia. While existing evidence is limited and heterogeneous, these findings suggest that the structural and functional integrity of fronto-limbic brain regions is consistently related to functional outcome in individuals with schizophrenia. Further research is needed to understand the mechanisms and directionality of these relationships, and the potential for identifying neural targets to support functional improvement.
Topics: Adult; Brain; Employment; Humans; Independent Living; Interpersonal Relations; Middle Aged; Schizophrenia; Young Adult
PubMed: 28204755
DOI: 10.1093/schbul/sbx008 -
JNCI Cancer Spectrum Mar 2019Meta-analysis of randomized controlled trials (RCTs) has been widely conducted for the evaluation of surrogate endpoints in oncology, but little attention has been given... (Review)
Review
BACKGROUND
Meta-analysis of randomized controlled trials (RCTs) has been widely conducted for the evaluation of surrogate endpoints in oncology, but little attention has been given to the adequacy of reporting and interpretation. This review evaluated the reporting quality of published meta-analyses on surrogacy evaluation and developed recommendations for future reporting.
METHODS
We searched PubMed through August 2017 to identify studies that evaluated surrogate endpoints using the meta-analyses of RCTs in oncology. Both individual patient data (IPD) and aggregate data (AD) meta-analyses were included for the review.
RESULTS
Eighty meta-analyses were identified: 22 used IPD and 58 used AD from multiple RCTs. We observed variability and reporting deficiencies in both IPD and AD meta-analyses, especially on reporting of trial selection, endpoint definition, study and patient characteristics for included RCTs, and important statistical methods and results. Based on these findings, we proposed a checklist and recommendations to improve completeness, consistency, and transparency of reports of meta-analytic surrogacy evaluation. We highlighted key aspects of the design and analysis of surrogate endpoints and presented explanations and rationale why these items should be clearly reported in surrogacy evaluation.
CONCLUSIONS
Our reporting of surrogate endpoint evaluation using meta-analyses (ReSEEM) guidelines and recommendations will improve the quality in reporting and facilitate the interpretation and reproducibility of meta-analytic surrogacy evaluation. Also, they should help promote greater methodological consistency and could also serve as an evaluation tool in the peer review process for assessing surrogacy research.
PubMed: 31360890
DOI: 10.1093/jncics/pkz002 -
Journal of Medical Internet Research Jun 2019With the advancement in information technology and mobile internet, digital health interventions (DHIs) are improving the care of cardiovascular diseases (CVDs). The...
BACKGROUND
With the advancement in information technology and mobile internet, digital health interventions (DHIs) are improving the care of cardiovascular diseases (CVDs). The impact of DHIs on cost-effective management of CVDs has been examined using the decision analytic model-based health technology assessment approach.
OBJECTIVE
The aim of this study was to perform a systematic review of the decision analytic model-based studies evaluating the cost-effectiveness of DHIs on the management of CVDs.
METHODS
A literature review was conducted in Medline, Embase, Cumulative Index to Nursing and Allied Health Literature Complete, PsycINFO, Scopus, Web of Science, Center for Review and Dissemination, and Institute for IEEE Xplore between 2001 and 2018. Studies were included if the following criteria were met: (1) English articles, (2) DHIs that promoted or delivered clinical interventions and had an impact on patients' cardiovascular conditions, (3) studies that were modeling works with health economic outcomes of DHIs for CVDs, (4) studies that had a comparative group for assessment, and (5) full economic evaluations including a cost-effectiveness analysis, cost-utility analysis, cost-benefit analysis, and cost-consequence analysis. The primary outcome collected was the cost-effectiveness of the DHIs, presented by incremental cost per additional quality-adjusted life year (QALY). The quality of each included study was evaluated using the Consolidated Health Economic Evaluation Reporting Standards.
RESULTS
A total of 14 studies met the defined criteria and were included in the review. Among the included studies, heart failure (7/14, 50%) and stroke (4/14, 29%) were two of the most frequent CVDs that were managed by DHIs. A total of 9 (64%) studies were published between 2015 and 2018 and 5 (36%) published between 2011 and 2014. The time horizon was ≤1 year in 3 studies (21%), >1 year in 10 studies (71%), and 1 study (7%) did not declare the time frame. The types of devices or technologies used to deliver the health interventions were short message service (1/14, 7%), telephone support (1/14, 7%), mobile app (1/14, 7%), video conferencing system (5/14, 36%), digital transmission of physiologic data (telemonitoring; 5/14, 36%), and wearable medical device (1/14, 7%). The DHIs gained higher QALYs with cost saving in 43% (6/14) of studies and gained QALYs at a higher cost at acceptable incremental cost-effectiveness ratio (ICER) in 57% (8/14) of studies. The studies were classified as excellent (0/14, 0%), good (9/14, 64%), moderate (4/14, 29%), and low (1/14, 7%) quality.
CONCLUSIONS
This study is the first systematic review of decision analytic model-based cost-effectiveness analyses of DHIs in the management of CVDs. Most of the identified studies were published recently, and the majority of the studies were good quality cost-effectiveness analyses with an adequate duration of time frame. All the included studies found the DHIs to be cost-effective.
Topics: Cardiovascular Diseases; Cost-Benefit Analysis; Humans; Telemedicine
PubMed: 31210136
DOI: 10.2196/13166 -
Molecules (Basel, Switzerland) Aug 2021The biosynthesis of silver nanoparticles and the antibacterial activities has provided enormous data on populations, geographical areas, and experiments with bio silver...
The biosynthesis of silver nanoparticles and the antibacterial activities has provided enormous data on populations, geographical areas, and experiments with bio silver nanoparticles' antibacterial operation. Several peer-reviewed publications have discussed various aspects of this subject field over the last generation. However, there is an absence of a detailed and structured framework that can represent the research domain on this topic. This paper attempts to evaluate current articles mainly on the biosynthesis of nanoparticles or antibacterial activities utilizing the scientific methodology of big data analytics. A comprehensive study was done using multiple databases-Medline, Scopus, and Web of Sciences through PRISMA (i.e., Preferred Reporting Items for Systematic Reviews and Meta-Analyses). The keywords used included 'biosynthesis silver nano particles' OR 'silver nanoparticles' OR 'biosynthesis' AND 'antibacterial behavior' OR 'anti-microbial opposition' AND 'systematic analysis,' by using MeSH (Medical Subject Headings) terms, Boolean operator's parenthesis, or truncations as required. Since their effectiveness is dependent on particle size or initial concentration, it necessitates more research. Understanding the field of silver nanoparticle biosynthesis and antibacterial activity in Gulf areas and most Asian countries also necessitates its use of human-generated data. Furthermore, the need for this work has been highlighted by the lack of predictive modeling in this field and a need to combine specific domain expertise. Studies eligible for such a review were determined by certain inclusion and exclusion criteria. This study contributes to the existence of theoretical and analytical studies in this domain. After testing as per inclusion criteria, seven in vitro studies were selected out of 28 studies. Findings reveal that silver nanoparticles have different degrees of antimicrobial activity based on numerous factors. Limitations of the study include studies with low to moderate risks of bias and antimicrobial effects of silver nanoparticles. The study also reveals the possible use of silver nanoparticles as antibacterial irrigants using various methods, including a qualitative evaluation of knowledge and a comprehensive collection and interpretation of scientific studies.
Topics: Animals; Anti-Bacterial Agents; Humans; Metal Nanoparticles; Particle Size; Silver
PubMed: 34443644
DOI: 10.3390/molecules26165057 -
A Systematic Review on Healthcare Analytics: Application and Theoretical Perspective of Data Mining.Healthcare (Basel, Switzerland) May 2018The growing healthcare industry is generating a large volume of useful data on patient demographics, treatment plans, payment, and insurance coverage—attracting... (Review)
Review
The growing healthcare industry is generating a large volume of useful data on patient demographics, treatment plans, payment, and insurance coverage—attracting the attention of clinicians and scientists alike. In recent years, a number of peer-reviewed articles have addressed different dimensions of data mining application in healthcare. However, the lack of a comprehensive and systematic narrative motivated us to construct a literature review on this topic. In this paper, we present a review of the literature on healthcare analytics using data mining and big data. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a database search between 2005 and 2016. Critical elements of the selected studies—healthcare sub-areas, data mining techniques, types of analytics, data, and data sources—were extracted to provide a systematic view of development in this field and possible future directions. We found that the existing literature mostly examines analytics in clinical and administrative decision-making. Use of human-generated data is predominant considering the wide adoption of Electronic Medical Record in clinical care. However, analytics based on website and social media data has been increasing in recent years. Lack of prescriptive analytics in practice and integration of domain expert knowledge in the decision-making process emphasizes the necessity of future research.
PubMed: 29882866
DOI: 10.3390/healthcare6020054