scholarly journals Preconception exposures and adverse pregnancy, birth and postpartum outcomes: Umbrella review of systematic reviews

2021 ◽  
Author(s):  
Michael Daly ◽  
Ruth R. Kipping ◽  
Laura E. Tinner ◽  
Julia Sanders ◽  
James W. White
Keyword(s):  
Systematic Reviews ◽  
Umbrella Review ◽  
Adverse Pregnancy ◽  
Postpartum Outcomes

scholarly journals Efficacy and safety of aliskiren combination therapy: a protocol for an umbrella review

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e043807
Author(s):  
Jiantong Shen ◽  
Wenming Feng ◽  
Yike Wang ◽  
Qiyuan Zhao ◽  
Billong Laura Flavorta ◽  
...  
Keyword(s):  
Combination Therapy ◽  
Systematic Reviews ◽  
Cochrane Library ◽  
Umbrella Review ◽  
Quality Of Reporting ◽  
Ethical Approval ◽  
Registration Number ◽  
Third Person ◽  
Meta Analyses ◽  
The Impact

IntroductionEfficacy of aliskiren combination therapy with other antihypertensive has been evaluated in the treatment of patients with hypertension in recent systematic reviews. However, most previous reviews only focused on one single health outcome or one setting, none of them made a full summary that assessed the impact of aliskiren combination treatment comprehensively. As such, this umbrella review based on systematic reviews and meta-analyses is aimed to synthesise the evidences on efficacy, safety and tolerability of aliskiren-based therapy for hypertension and related comorbid patients.Methods and analysisA comprehensive search of PubMed, EMBASE, Cochrane Library, CNKI published from inception to August 2020 will be conducted. The selected articles are systematic reviews which evaluated efficacy, safety and tolerability of aliskiren combination therapy. Two reviewers will screen eligible articles, extract data and evaluate quality independently. Any disputes will be resolved by discussion or the arbitration of a third person. The quality of reporting evidence will be assessed using the Assessment of Multiple Systematic Reviews V.2 tool tool. We will take a mixed-methods approach to synthesising the review literatures, reporting summary of findings tables and iteratively mapping the results.Ethics and disseminationEthical approval is not required for the study, as we would only collect data from available published materials. This umbrella review will be also submitted to a peer-reviewed journal for publication after completion.PROSPERO registration numberCRD42020192131.

scholarly journals Frailty Status and All-Cause Mortality in the Community-Dwelling Older People: An Umbrella Review

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 488-489
Author(s):  
A R M Saifuddin Ekram ◽  
Joanne Ryan ◽  
Carlene Britt ◽  
Sara Espinoza ◽  
Robyn Woods
Keyword(s):  
Older People ◽  
Systematic Reviews ◽  
Community Dwelling ◽  
Umbrella Review ◽  
Frailty Phenotype ◽  
Frailty Status ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Community Dwelling Older People ◽  
Meta Analyses

Abstract Frailty is increasingly recognised for its association with adverse health outcomes including mortality. However, various measures are used to assess frailty, and the strength of association could vary depending on the specific definition used. This umbrella review aimed to map which frailty scale could best predict the relationship between frailty and all-cause mortality among community-dwelling older people. According to the PRISMA guidelines, Medline, Embase, EBSCOhost and Web of Science databases were searched to identify eligible systematic reviews and meta-analyses which examined the association between frailty and all-cause mortality in the community-dwelling older people. Relevant data were extracted and summarised qualitatively. Methodological quality was assessed by AMSTAR-2 checklist. Five moderate-quality systematic reviews with a total of 374,529 participants were identified. Of these, two examined the frailty phenotype and its derivatives, two examined the cumulative deficit models and the other predominantly included studies assessing frailty with the FRAIL scale. All of the reviews found a significant association between frailty status and all-cause mortality. The magnitude of association varied between individual studies, with no consistent pattern related to the frailty measures that were used. In conclusion, regardless of the measure used to assess frailty status, it is associated with an increased risk of all-cause mortality.

The performance of artificial intelligence-driven technologies in diagnosing mental disorders: An umbrella review (Preprint)

2021 ◽  
Author(s):  
Alaa Abd-Alrazaq ◽  
Jens Schneider ◽  
Dari Alhuwail ◽  
Carla T Toro ◽  
Arfan Ahmed ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Mental Disorders ◽  
Systematic Reviews ◽  
Autism Spectrum ◽  
Great Promise ◽  
Routine Practice ◽  
Daily Routine ◽  
Reference List ◽  
Umbrella Review ◽  
Compulsive Disorder

BACKGROUND Diagnosing mental disorders is usually not an easy task and requires a large amount of time and effort given the complex nature of mental disorders. Artificial intelligence (AI) has been successfully exploited in diagnosing many mental disorders. Numerous systematic reviews summarize the evidence on the accuracy of AI models in diagnosing different mental disorders. OBJECTIVE This umbrella review aims to synthesize results of previous systematic reviews on the performance of AI models in diagnosing mental disorders. METHODS To identify relevant systematic reviews, we searched 11 electronic databases, checked the reference list of the included reviews, and checked the reviews that cited the included reviews. Two reviewers independently selected the relevant reviews, extracted the data from them, and appraised their quality. We synthesized the extracted data using the narrative approach. Specifically, results of the included reviews were grouped based on the target mental disorders that the AI classifiers distinguish. RESULTS We included 15 systematic reviews of 852 citations identified by searching all databases. The included reviews assessed the performance of AI models in diagnosing Alzheimer’s disease (n=7), mild cognitive impairment (n=6), schizophrenia (n=3), bipolar disease (n=2), autism spectrum disorder (n=1), obsessive-compulsive disorder (n=1), post-traumatic stress disorder (n=1), and psychotic disorders (n=1). The performance of the AI models in diagnosing these mental disorders ranged between 21% and 100%. CONCLUSIONS AI technologies offer great promise in diagnosing mental health disorders. The reported performance metrics paint a vivid picture of a bright future for AI in this field. To expedite progress towards these technologies being incorporated into routine practice, we recommend that healthcare professionals in the field cautiously and consciously begin to explore the opportunities of AI-based tools for their daily routine. It would also be encouraging to see a greater number of meta-analyses and further systematic reviews on performance of AI models in diagnosing other common mental disorders such as depression and anxiety. CLINICALTRIAL CRD42021231558

scholarly journals 444Frailty status and all-cause mortality in the community-dwelling individuals: An umbrella review

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
A R M Saifuddin Ekram ◽  
Joanne Ryan ◽  
Carlene Britt ◽  
Sara Espinoza ◽  
Robyn Woods
Keyword(s):  
Systematic Reviews ◽  
Critical Appraisal ◽  
Frailty Index ◽  
Community Dwelling ◽  
Umbrella Review ◽  
Deficit Accumulation ◽  
Frailty Phenotype ◽  
Essential Information ◽  
Increased Risk ◽  
All Cause Mortality

Abstract Background Frailty is increasingly recognised for its association with adverse health outcomes, including mortality. However, various measures are used to assess frailty, and the strength of association could vary depending on the specific definition used. This umbrella review aims to map which frailty scale can best predict the relationship between frailty and all-cause mortality among community-dwelling older people. Methods A protocol was registered at PROSPERO, and it was conducted following the PRISMA statement. MEDLINE, Embase, PubMed, Cochrane Database of Systematic Reviews, Joanna Briggs Institute (JBI) EBP database, and Web of Science database was searched. Methodological quality was assessed using the JBI critical appraisal checklist and online AMSTAR-2 critical appraisal checklist. For eligible studies, essential information was extracted and synthesized qualitatively. Results Five systematic reviews were included, with a total of 434,115 participants. Three systematic reviews focused on single frailty scales; one evaluated Fried's physical frailty phenotype and its modifications; another focused on the deficit accumulation frailty index. The third evaluated the FRAIL (Fatigue, Resistance, Ambulation, Illness, and Loss of weight) scale. The two other systematic reviews determined the association between frailty and mortality using different frailty scales. All of the systematic reviews found that frailty was significantly associated with all-cause mortality. Conclusion This umbrella review demonstrates that frailty is a significant predictor of all-cause mortality, irrespective of the specific frailty scale. Key messages Frailty is associated with an increased risk of all-cause mortality in community-dwelling individuals signifying the importance of assessment in the primary healthcare setting.

scholarly journals Prevalence of mental disorders in South Asia: an umbrella review of systematic reviews and meta-analyses

2020 ◽  
Author(s):  
Md Mahbub Hossain ◽  
Neetu Purohit ◽  
Abida Sultana ◽  
Ping Ma ◽  
E. Lisako J. McKyer ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Disorders ◽  
South Asia ◽  
South Asian ◽  
Systematic Reviews ◽  
Mental Health Problems ◽  
Future Research ◽  
Asian Countries ◽  
Umbrella Review ◽  
Meta Analyses

Objectives: Mental disorders are highly prevalent in eight South Asian countries, yet there is a gap of a synthesized overview of the prevalence of mental disorders in this region. This umbrella review aims to summarize the prevalence of mental disorders from systematic reviews and meta-analyses of South Asian studies.Materials and methods: A systematic search of 11 major databases and additional sources was conducted until December 11, 2019. Articles were included if they were systematic reviews or meta-analyses, reported the prevalence of mental disorders, and reported primary studies conducted in South Asian countries only. Results: Among 2591 citations, a total of 23 reviews met all the criteria of this umbrella review. The synthesized findings from those reviews suggest high prevalence rates for mental disorders, including depressive disorders, anxiety disorders, mood disorders, suicidal behavior and self-harm, schizophrenia, substance use disorders, neurodevelopmental disorders, dementia, and other mental health problems. Also, findings suggest a high burden of maternal depression, psychiatric comorbidities in chronic physical illnesses, and various mental disorders among children, elderly adults, refugees, and other vulnerable populations. Most studies were from India whereas evidence from Afghanistan, Bhutan, and Maldives was limited.Conclusion: The findings of this review are constrained with heterogeneity in prevalence estimations, methodologies, sampling issues, and limitations in the existing literature, which should be addressed in future research. The evidence synthesized in this review provides national and regional overview of the prevalence of mental disorders, which may inform better policymaking and practice advancing mental health in South Asia.

scholarly journals National or population level interventions addressing the social determinants of mental health – an umbrella review

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Neha Shah ◽  
Ian F. Walker ◽  
Yannish Naik ◽  
Selina Rajan ◽  
Kate O’Hagan ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
Systematic Reviews ◽  
Social Determinants ◽  
Population Level ◽  
Evidence Base ◽  
Mental Health Outcomes ◽  
Umbrella Review ◽  
The Social ◽  
Quality Evidence

Abstract Background Social circumstances in which people live and work impact the population’s mental health. We aimed to synthesise evidence identifying effective interventions and policies that influence the social determinants of mental health at national or scaled population level. We searched five databases (Cochrane Library, Global Health, MEDLINE, EMBASE and PsycINFO) between Jan 1st 2000 and July 23rd 2019 to identify systematic reviews of population-level interventions or policies addressing a recognised social determinant of mental health and collected mental health outcomes. There were no restrictions on country, sub-population or age. A narrative overview of results is provided. Quality assessment was conducted using Assessment of Multiple Systematic Reviews (AMSTAR 2). This study was registered on PROSPERO (CRD42019140198). Results We identified 20 reviews for inclusion. Most reviews were of low or critically low quality. Primary studies were mostly observational and from higher income settings. Higher quality evidence indicates more generous welfare benefits may reduce socioeconomic inequalities in mental health outcomes. Lower quality evidence suggests unemployment insurance, warm housing interventions, neighbourhood renewal, paid parental leave, gender equality policies, community-based parenting programmes, and less restrictive migration policies are associated with improved mental health outcomes. Low quality evidence suggests restriction of access to lethal means and multi-component suicide prevention programmes are associated with reduced suicide risk. Conclusion This umbrella review has identified a small and overall low-quality evidence base for population level interventions addressing the social determinants of mental health. There are significant gaps in the evidence base for key policy areas, which limit ability of national policymakers to understand how to effectively improve population mental health.

scholarly journals Effectiveness of interventions to prevent falls for people with multiple sclerosis, Parkinson’s disease and stroke: an umbrella review

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nicola O’Malley ◽  
Amanda M. Clifford ◽  
Mairéad Conneely ◽  
Bláthín Casey ◽  
Susan Coote
Keyword(s):  
Risk Factors ◽  
Multiple Sclerosis ◽  
Systematic Reviews ◽  
Methodological Quality ◽  
Falls Prevention ◽  
Umbrella Review ◽  
Falls Risk ◽  
Prevention Interventions ◽  
Evidence Table

Abstract Background The implementation of condition-specific falls prevention interventions is proving challenging due to lack of critical mass and resources. Given the similarities in falls risk factors across stroke, Parkinson’s Disease (PD) and Multiple Sclerosis (MS), the development of an intervention designed for groups comprising of people with these three neurological conditions may provide a pragmatic solution to these challenges. The aims of this umbrella review were to investigate the effectiveness of falls prevention interventions in MS, PD and stroke, and to identify the commonalities and differences between effective interventions for each condition to inform the development of an intervention for mixed neurological groups. Methods A systematic literature search was conducted using 15 electronic databases, grey literature searches and hand-screening of reference lists. Systematic reviews of studies investigating the effects of falls prevention interventions in MS, PD and stroke were included. Methodological quality of reviews was assessed using the A MeaSurement Tool to Assess Systematic Reviews 2. A matrix of evidence table was used to assess the degree of overlap. The Grading of Recommendations Assessments, Development and Evaluation framework was used to rate the quality of evidence. Findings were presented through narrative synthesis and a summary of evidence table. Results Eighteen reviews were included; three investigating effectiveness of falls prevention interventions in MS, 11 in PD, three in stroke, and one in both PD and stroke. Exercise-based interventions were the most commonly investigated for all three conditions, but differences were identified in the content and delivery of these interventions. Low to moderate quality evidence was found for the effectiveness of exercise-based interventions at reducing falls in PD. Best available evidence suggests that exercise is effective at reducing falls in stroke but no evidence of effect was identified in MS. Conclusions The findings suggest that exercise-based interventions are effective at reducing falls in PD, however, the evidence for MS and stroke is less conclusive. A strong theoretical rationale remains for the use of exercise-based interventions to address modifiable physiological falls risk factors for people with MS, PD and stroke, supporting the feasibility of a mixed-diagnosis intervention. Given the high overlap and low methodological quality of primary studies, the focus should be on the development of high-quality trials investigating the effectiveness of falls prevention interventions, rather than the publication of further systematic reviews.

scholarly journals Efficacy of perioperative immunonutrition in visceral surgery: an umbrella review protocol

BMJ Open ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. e053851
Author(s):  
Karem Slim ◽  
Flora Badon ◽  
Charles-Hervé Vacheron ◽  
Chadli Dziri ◽  
Thomas Marquillier
Keyword(s):  
Systematic Reviews ◽  
Surgical Site Infections ◽  
Visceral Surgery ◽  
Hospital Length Of Stay ◽  
Bibliographic Databases ◽  
Measurement Tool ◽  
Published Data ◽  
Umbrella Review ◽  
Meta Analyses

IntroductionImmunonutrition (IN) is generally used before major visceral surgery with the intent to reduce postoperative complications, especially infectious ones. However, the conclusions of published meta-analyses are conflicting. The purpose of this review is to synthesise the data of published systematic reviews on the effectiveness of IN.Methods and analysisThis protocol follows the Preferred Reporting Items for Systematic Reviews and Meta-analyses Protocols guidelines. This is an umbrella review of systematic reviews comparing IN (delivered orally 5–7 days preoperatively) with normal diet or isocaloric isonitrogenous feeding before visceral surgery performed on any of several viscera (colorectum, stomach, pancreas, liver, oesophagus). We search the systematic reviews included in the main bibliographic databases. To assess the efficacy of IN, several outcomes will be considered: the main outcome is infectious complications (surgical site infections, pulmonary infections or urinary infections) and secondary outcomes are overall morbidity, hospital length of stay and mortality. Identified reviews will be screened by two independent assessors. The methodological quality of relevant included reviews will be assessed using A MeaSurement Tool to Assess systematic Reviews (AMSTAR) instrument. The data extracted from included reviews will be synthesised using the r-Metafor package considering separate groups according to the viscus of interest. Publication bias will be evaluated, and subgroup analyses will be performed according to the quality of studies and preoperative nutritional status.Ethics and disseminationAn umbrella review based on published data from systematic reviews needs no ethical approval. Furthermore, no patient will be involved in the review. Once terminated, the review will be submitted for publication in an open access journal to ensure wide dissemination of the findings.PROSPERO registration numberCRD42021255177.

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