scholarly journals Inter-Professional Collaboration and Patient Mortality: Protocol for a Systematic Review and Meta-Analysis

2020 ◽  
Vol 10 (1) ◽  
pp. 15-22
Author(s):  
Sandesh Pantha ◽  
Martin Jones ◽  
Richard Gray
Keyword(s):  
Patient Care ◽  
Systematic Reviews ◽  
Interprofessional Collaboration ◽  
Data Extraction ◽  
Meta Analysis ◽  
Public Health Practice ◽  
Direct Patient Care ◽  
Professional Collaboration ◽  
Evidence Based Care ◽  
Effective Public Health

Inter-professional collaboration is a process in which health professionals from different disciplines work together, sharing their ideas and opinions to plan evidence-based care. Nurses and doctors spend most of their time providing direct patient care. Therefore, effective interprofessional collaboration may be important in ensuring safe and effective patient care. There are no systematic reviews that have evaluated the association between nurse–doctor collaboration and patient outcomes in medical and surgical settings. We will conduct a systematic search of five key databases MEDLINE, EMBASE, PsycInfo, CINAHL, and the Cochrane register. We will include observational and experimental research that tests the association between levels of inter-professional collaboration and medical and surgical inpatient mortality. Two reviewers will independently conduct title and abstract, full-text screening, and data extraction. The Effective Public Health Practice (EPHPP) tool will be used to determine the quality of the included studies. If sufficient studies are available, we will undertake a meta-analysis. The protocol is registered with the international prospective register of systematic reviews (PROSPERO-CRD42019133543).

scholarly journals Maternal age at delivery and risk of allergy and asthma in the offspring: a systematic review and meta-analysis protocol

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e039288
Author(s):  
Yohannes Tesfaye Amera ◽  
Abdoulie K Baldeh ◽  
Mohamed Mustafa Ali ◽  
Emma Goksör ◽  
Göran Wennergren ◽  
...  
Keyword(s):  
Systematic Review ◽  
Maternal Age ◽  
Data Extraction ◽  
Meta Analysis ◽  
Public Health Practice ◽  
Risk Of Bias ◽  
Protocol Registration ◽  
Registration Number ◽  
Asthma And Allergy ◽  
Effective Public Health

IntroductionWhile several perinatal factors have been linked to the risk of developing asthma and allergy in childhood, the role of maternal age at delivery remains uncertain. Some studies suggest that young maternal age at delivery may increase the risk, while other studies suggested a reduced risk. To provide a clearer appreciation of the underlying evidence, we plan to undertake a systematic review to synthesise previous studies that have investigated the association between maternal age at delivery and the risk of asthma and allergy in the offspring.Methods and analysisWe will search PubMed, EMBASE, ISI Web of Science, Scopus and Google Scholar to identify relevant studies on the topic published in the databases from inception until October 2020. We will search databases of proceedings of international conferences, contact authors who have published on the topic and search the reference lists of the included studies in order to identify additional studies. Two investigators will independently screen the identified studies, perform data extraction and examine the risk of bias in the studies; a third investigator will arbitrate throughout these processes. We will use the Effective Public Health Practice Project tool for assessment of the risk of bias in included studies. We will perform random-effects meta-analysis to combine effect estimates from included studies judged to be homogeneous.Ethics and disseminationOnly data from the published literature will be included in this study, therefore no ethics approval is required. Our findings will be published in a peer-reviewed journal.Protocol registrationThe protocol has been submitted for registration on PROSPERO, University of York, and Centre for Review and Dissemination, now awaiting the assignment of a registration number.

scholarly journals Relationship between hospital or surgeon volume and outcomes in joint arthroplasty: protocol for a suite of systematic reviews and dose–response meta-analyses

BMJ Open ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. e022797 ◽  
Author(s):  
Xiang-Dong Wu ◽  
Meng-Meng Liu ◽  
Ya-Ying Sun ◽  
Zhi-Hu Zhao ◽  
Quan Zhou ◽  
...  
Keyword(s):  
Systematic Reviews ◽  
Dose Response ◽  
Data Extraction ◽  
Meta Analysis ◽  
High Volume ◽  
Joint Arthroplasty ◽  
Surgeon Volume ◽  
Published Data ◽  
Records Management ◽  
Meta Analyses

IntroductionJoint arthroplasty is a particularly complex orthopaedic surgical procedure performed on joints, including the hip, knee, shoulder, ankle, elbow, wrist and even digit joints. Increasing evidence from volume–outcomes research supports the finding that patients undergoing joint arthroplasty in high-volume hospitals or by high-volume surgeons achieve better outcomes, and minimum case load requirements have been established in some areas. However, the relationships between hospital/surgeon volume and outcomes in patients undergoing arthroplasty are not fully understood. Furthermore, whether elective arthroplasty should be restricted to high-volume hospitals or surgeons remains in dispute, and little is known regarding where the thresholds should be set for different types of joint arthroplasties.Methods and analysesThis is a protocol for a suite of systematic reviews and dose–response meta-analyses, which will be amended and updated in conjunction with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols. Electronic databases, including PubMed and Embase, will be searched for observational studies examining the relationship between the hospital or surgeon volume and clinical outcomes in adult patients undergoing primary or revision of joint arthroplasty. We will use records management software for study selection and a predefined standardised file for data extraction and management. Quality will be assessed using the Newcastle-Ottawa Scale, and the meta-analysis, subgroup analysis and sensitivity analysis will be performed using Stata statistical software. Once the volume–outcome relationships are established, we will examine the potential non-linear relationships between hospital/surgeon volume and outcomes and detect whether thresholds or turning points exist.Ethics and disseminationEthical approval is not required, because these studies are based on aggregated published data. The results of this suite of systematic reviews and meta-analyses will be submitted to peer-reviewed journals for publication.PROSPERO registration numberCRD42017056639.

scholarly journals Systematic Reviews and Meta-analysis Published in Indexed Portuguese Medical Journals: Time Trends and Critical Appraisal.

2021 ◽  
Author(s):  
Luísa Prada ◽  
Ana Prada ◽  
Miguel Antunes ◽  
Ricardo Fernandes ◽  
João Costa ◽  
...  
Keyword(s):  
Systematic Reviews ◽  
Critical Appraisal ◽  
Data Extraction ◽  
Evidence Synthesis ◽  
Meta Analysis ◽  
Measurement Tool ◽  
Medical Journals ◽  
Electronic Search ◽  
Potential Impact

Abstract Introduction:Over the last years, the number of systematic reviews published is steadily increasing due to the global interest in this type of evidence synthesis. However, little is known about the characteristics of this research published in Portuguese medical journals. This study aims to evaluate the publication trends and overall quality of these systematic reviews.Material and Methods:Systematic reviews were identified through an electronic search up to August 2020, targeting Portuguese Medical journals indexed in MEDLINE. Systematic reviews selection and data extraction were done independently by three authors. The overall quality critical appraisal using the A MeaSurement Tool to Assess systematic Reviews (AMSTAR II) was independently assessed by three authors. Disagreements were solved by consensus.Results:Seventy systematic reviews published in 5 Portuguese medical journals were included. Most (n=57; 81,4%) were systematic reviews without meta-analysis. Until 2010, the number of systematic reviews per year increased. Since then, the number of reviews published has not remained stable and no less than 3 SRs were published per year. According to the systematic reviews’ typology, most have been predominantly conducted to assess the effectiveness of health interventions (n=28; 40,0%). General and Internal Medicine (n=26; 37,1%) was the most addressed field. Most systematic reviews (n=45; 64,3%) were rated as being of “critically low-quality”.Conclusions:There were consistent flaws in the methodological quality report of the systematic reviews included, particularly in establishing a prior protocol and not assessing the potential impact of the risk of bias on the results.Through the years, the number of systematic reviews published increased, yet their quality is suboptimal. There is a need to improve the reporting of systematic reviews in Portuguese medical journals, which can be achieved by better adherence to quality checklists/tools.Systematic review registration: INPLASY202090105

scholarly journals Pre-arrest and intra-arrest prognostic factors associated with survival after in-hospital cardiac arrest: systematic review and meta-analysis

BMJ ◽  
2019 ◽  
pp. l6373 ◽  
Author(s):  
Shannon M Fernando ◽  
Alexandre Tran ◽  
Wei Cheng ◽  
Bram Rochwerg ◽  
Monica Taljaard ◽  
...  
Keyword(s):  
Systematic Review ◽  
Cardiac Arrest ◽  
Prognostic Factors ◽  
Systematic Reviews ◽  
English Language ◽  
Data Extraction ◽  
Meta Analysis ◽  
Research Strategy ◽  
Primary Analysis ◽  
Hospital Cardiac Arrest

Abstract Objective To determine associations between important pre-arrest and intra-arrest prognostic factors and survival after in-hospital cardiac arrest. Design Systematic review and meta-analysis. Data sources Medline, PubMed, Embase, Scopus, Web of Science, and the Cochrane Database of Systematic Reviews from inception to 4 February 2019. Primary, unpublished data from the United Kingdom National Cardiac Arrest Audit database. Study selection criteria English language studies that investigated pre-arrest and intra-arrest prognostic factors and survival after in-hospital cardiac arrest. Data extraction PROGRESS (prognosis research strategy group) recommendations and the CHARMS (critical appraisal and data extraction for systematic reviews of prediction modelling studies) checklist were followed. Risk of bias was assessed by using the QUIPS tool (quality in prognosis studies). The primary analysis pooled associations only if they were adjusted for relevant confounders. The GRADE approach (grading of recommendations assessment, development, and evaluation) was used to rate certainty in the evidence. Results The primary analysis included 23 cohort studies. Of the pre-arrest factors, male sex (odds ratio 0.84, 95% confidence interval 0.73 to 0.95, moderate certainty), age 60 or older (0.50, 0.40 to 0.62, low certainty), active malignancy (0.57, 0.45 to 0.71, high certainty), and history of chronic kidney disease (0.56, 0.40 to 0.78, high certainty) were associated with reduced odds of survival after in-hospital cardiac arrest. Of the intra-arrest factors, witnessed arrest (2.71, 2.17 to 3.38, high certainty), monitored arrest (2.23, 1.41 to 3.52, high certainty), arrest during daytime hours (1.41, 1.20 to 1.66, high certainty), and initial shockable rhythm (5.28, 3.78 to 7.39, high certainty) were associated with increased odds of survival. Intubation during arrest (0.54, 0.42 to 0.70, moderate certainty) and duration of resuscitation of at least 15 minutes (0.12, 0.07 to 0.19, high certainty) were associated with reduced odds of survival. Conclusion Moderate to high certainty evidence was found for associations of pre-arrest and intra-arrest prognostic factors with survival after in-hospital cardiac arrest. Systematic review registration PROSPERO CRD42018104795

scholarly journals Quality of Systematic Reviews of the Foods with Function Claims in Japan: Comparative Before- and After-Evaluation of Verification Reports by the Consumer Affairs Agency

Nutrients ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 1583 ◽  
Author(s):  
Kamioka ◽  
Tsutani ◽  
Origasa ◽  
Yoshizaki ◽  
Kitayuguchi ◽  
...  
Keyword(s):  
Systematic Reviews ◽  
Data Extraction ◽  
Meta Analysis ◽  
Scientific Evidence ◽  
Reporting Quality ◽  
Health Claims ◽  
Scientific Quality ◽  
Before And After ◽  
Product Effectiveness

Background: In Japan, a new type of foods with health claims, called Foods with Function Claims (FFC), was introduced in April 2015 in order to make more products available that are clearly labeled with certain health functions. Regarding substantiating product effectiveness, scientific evidence for the proposed function claims must be explained by systematic reviews (SRs), but the quality of SRs was not clear. The objectives of this review were to assess the quality of SRs based on the FFC registered on the Consumer Affairs Agency (CAA) website in Japan, and to determine whether the CAA’s verification report in 2016 was associated with improvement in the quality of SRs. Methods: We evaluated the reporting quality of each SR by the AMSTAR checklist on methodological quality. We searched the database from 1 April to 31 October 2015 as the before-SR and from 1 July 2017 to 31 January 2018 as the after-SR. Results: Among the 104 SRs reviewed, 96 final products were included: 51 (53.1%) were supplements, 42 (43.8%) were processed foods without supplements, and 3 (3.1%) were fresh foods. Of the 104 SRs, 92 (88.5%) were qualitative reviews (i.e., without meta-analysis) and 12 (11.5%) performed a meta-analysis. The average quality score of before-SRs and after-SRs was 6.2 ± 1.8 and 5.0 ± 1.9, respectively, a statistically significant decrease (p < 0.001). Conclusion: Overall, the methodology and reporting quality of after-SRs based on the FFC were poorer than those of before-SRs. In particular, there were very poor descriptions and/or implementations of study selection and data extraction, search strategy, evaluation methods for risk of bias, assessment of publication bias, and formulating conclusions based on methodological rigor and scientific quality of the included studies.

scholarly journals Epidemiology of Cancers in Men Who Have Sex with Men (MSM): A Protocol for Umbrella Review of Systematic Reviews

2020 ◽  
Vol 17 (14) ◽  
pp. 4954
Author(s):  
Manoj Kumar Honaryar ◽  
Yelena Tarasenko ◽  
Maribel Almonte ◽  
Vitaly Smelov
Keyword(s):  
Sexual Orientation ◽  
Systematic Reviews ◽  
Data Extraction ◽  
Meta Analysis ◽  
Umbrella Review ◽  
Team Members ◽  
Cochrane Database ◽  
Health Community ◽  
Global Epidemiology ◽  
Sex With Men

While earlier studies on men having sex with men (MSM) tended to examine infection-related cancers, an increasing number of studies have been focusing on effects of sexual orientation on other cancers and social and cultural causes for cancer disparities. As a type of tertiary research, this umbrella review (UR) aims to synthesize findings from existing review studies on the effects of sexual orientation on cancer. Relevant peer-reviewed systematic reviews (SRs) will be identified without date or language restrictions using MEDLINE, Cochrane Database of Systematic Reviews, and the International Prospective Register for Systematic Reviews, among others. The research team members will prepare the data extraction forms. Two reviewers will independently assess extracted SRs using the Assessment of Methodological Quality of Systematic Reviews. A third reviewer will weigh in to resolve discrepancies. The reviewers will be blinded to publisher, journal, and authors, making their judgements on the title, year, and abstract. The Preferred Reporting Items for Systematic Reviews and Meta-analysis checklist will guide data synthesis. By collating evidence from multiple reviews into one accessible and usable document, our first UR on global epidemiology of malignancies among MSM would serve as an evidence-based decision-making tool for the public health community.

scholarly journals Assessment of humoral and cell-mediated immune responses to pertussis vaccination: a systematic review protocol

BMJ Open ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. e028109 ◽  
Author(s):  
Funbi Akinola ◽  
Rudzani Muloiwa ◽  
Gregory, D Hussey ◽  
Violette Dirix ◽  
Benjamin Kagina ◽  
...  
Keyword(s):  
Systematic Review ◽  
Immune Response ◽  
Immune Responses ◽  
Public Space ◽  
Systematic Reviews ◽  
Data Extraction ◽  
Meta Analysis ◽  
Grey Literature ◽  
Assessment Tools ◽  
Population Type

IntroductionGlobally, some studies show a resurgence of pertussis. The risks and benefits of using whole-cell pertussis (wP) or acellular pertussis (aP) vaccines in the control of the disease have been widely debated. Better control of pertussis will require improved understanding of the immune response to pertussis vaccines. Improved understanding and assessment of the immunity induced by pertussis vaccines is thus imperative. Several studies have documented different immunological outcomes to pertussis vaccination from an array of assays. We propose to conduct a systematic review of the different immunological assays and outcomes used in the assessment of the humoraland cell-mediated immune response following pertussis vaccination.Methods and analysisThe primary outcomes for consideration are quality and quantity of immune responses (humoral and cell-mediated) post-pertussis vaccination. Of interest as secondary outcomes are types of immunoassays used in assessing immune responses post-pertussis vaccination, types of biological samples used in assessing immune responses post-pertussis vaccination, as well as the types of antigens used to stimulate these samples during post-pertussis vaccination immune response assessments. Different electronic databases (including PubMed, Cochrane, EBSCO Host, Scopus and Web of Science) will be accessed for peer-reviewed published and grey literature evaluating immune responses to pertussis vaccines between 1990 and 2019. The quality of included articles will be assessed using standardised risk and quality assessment tools specific to the study design used in each article. Data extraction will be done using a data extraction form. The extracted data will be analysed using STATA V.14.0 and RevMan V.5.3 software. A subgroup analysis will be conducted based on the study population, type of vaccine (wP or aP) and type of immune response (cell-mediated or humoral). Guidelines for reporting systematic reviews in the revised 2009 Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement will be used in this study.Ethics and disseminationEthics approval is not required for this study as it is a systematic review. We will only make use of data already available in the public space. Findings will be reported via publication in a peer-reviewed journal and presented at scientific meetings and workshops.Trial registration numberCRD42018102455.

scholarly journals Clinical, laboratory and imaging predictors for critical illness and mortality in patients with COVID-19: protocol for a systematic review and meta-analysis

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e039813
Author(s):  
Xinxing Lai ◽  
Jian Liu ◽  
Tianyi Zhang ◽  
Luda Feng ◽  
Ping Jiang ◽  
...  
Keyword(s):  
Systematic Review ◽  
Prognostic Factors ◽  
Critical Illness ◽  
Systematic Reviews ◽  
Clinical Laboratory ◽  
Data Extraction ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Early Management ◽  
Modifiable Factors

IntroductionWith the threat of a worldwide pandemic of COVID-19, it is important to identify the prognostic factors for critical conditions among patients with non-critical COVID-19. Prognostic factors and models may assist front-line clinicians in rapid identification of high-risk patients, early management of modifiable factors, appropriate triaging and optimising the use of limited healthcare resources. We aim to systematically assess the clinical, laboratory and imaging predictors as well as prediction models for severe or critical illness and mortality in patients with COVID-19.Methods and analysisAll peer-reviewed and preprint primary articles with a longitudinal design that focused on prognostic factors or models for critical illness and mortality related to COVID-19 will be eligible for inclusion. A systematic search of 11 databases including PubMed, EMBASE, Web of Science, Cochrane Library, CNKI, VIP, Wanfang Data, SinoMed, bioRxiv, Arxiv and MedRxiv will be conducted. Study selection will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Data extraction will be performed using the modified version of the Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies checklist and quality will be evaluated using the Newcastle-Ottawa Scale and the Quality In Prognosis Studies tool. The association between prognostic factors and outcomes of interest will be synthesised and a meta-analysis will be conducted with three or more studies reporting a particular factor in a consistent manner.Ethics and disseminationEthical approval was not required for this systematic review. We will disseminate our findings through publication in a peer-reviewed journal.PROSPERO registration numberCRD 42020178798.

scholarly journals Farm living and risk of asthma, atopic eczema, respiratory and food allergy: protocol for a systematic review and meta-analysis

BMJ Open ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. e048736
Author(s):  
Johnstone Kuya ◽  
Ogban Omoronyia ◽  
Theopista Fokukora ◽  
Aduroja Posi Emmanuel ◽  
Olusegun Sunday Ewemooje ◽  
...  
Keyword(s):  
Food Allergy ◽  
Environmental Factors ◽  
Disease Risk ◽  
Data Extraction ◽  
Meta Analysis ◽  
Scientific Journal ◽  
Public Health Practice ◽  
Risk Of Bias ◽  
Cochrane Library ◽  
Cross Sectional

IntroductionAsthma and allergic disorders are of global concern and risk for their development results from the interplay of genetic and environmental factors. Among numerous environmental factors identified to influence the disease risk, the role of exposure to a farming environment has gained interest in recent times, but the underlying evidence is conflicting. The review aims to comprehensively identify, critically appraise and synthesise evidence from studies investigating the association between farm living and risk of asthma and allergic diseases in children and adults.Methods and analysisWe will identify relevant analytical observational epidemiological studies, including cross-sectional, case-control and cohort studies, by searching PubMed, Cochrane Library, Google Scholar, Cumulative Index to Nursing and Allied Health Literature (CINAHL), WHO Global Health Library, Web of Science, Scopus and Embase. Screening of identified records, data extraction from eligible studies and risk of bias assssment of eligible studies will be independently undertaken by two reviewers, with arbitration by a third reviewer. The Effective Public Health Practice Project will be employed for the risk of bias assessment. Estimates from studies judged to be clinically, methodologically and statistically homogeneous will be synthesised using random-effects meta-analysis. Heterogeneity will be assessed using the I-squared statistic. We will consider objectively measured or self-reported asthma, atopic dermatitis/eczema, allergic rhinitis, wheeze, and food allergy as primary outcomes.Ethics and disseminationAs this study is based solely on the published literature, no ethics approval is required. The study findings will be presented at scientific meetings related to the field of asthma and allergy and will be published in an international peer-reviewed scientific journal.PROSPERO registration numberCRD42020208805.

scholarly journals Methods used to meta-analyse results from interrupted time series studies: A methodological systematic review protocol

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 110
Author(s):  
Elizabeth Korevaar ◽  
Amalia Karahalios ◽  
Andrew B. Forbes ◽  
Simon L. Turner ◽  
Steve McDonald ◽  
...  
Keyword(s):  
Public Health ◽  
Time Series ◽  
Systematic Reviews ◽  
Data Extraction ◽  
Meta Analysis ◽  
Interrupted Time Series ◽  
Analysis Methods ◽  
Study Selection ◽  
The Individual ◽  
Meta Analyses

Background: Systematic reviews are used to inform healthcare decision making. In reviews that aim to examine the effects of organisational, policy change or public health interventions, or exposures, evidence from interrupted time series (ITS) studies may be included. A core component of many systematic reviews is meta-analysis, which is the statistical synthesis of results across studies. There is currently a lack of guidance informing the choice of meta-analysis methods for combining results from ITS studies, and there have been no studies examining the meta-analysis methods used in practice. This study therefore aims to describe current meta-analysis methods used in a cohort of reviews of ITS studies. Methods: We will identify the 100 most recent reviews (published between 1 January 2000 and 11 October 2019) that include meta-analyses of ITS studies from a search of eight electronic databases covering several disciplines (public health, psychology, education, economics). Study selection will be undertaken independently by two authors. Data extraction will be undertaken by one author, and for a random sample of the reviews, two authors. From eligible reviews we will extract details at the review level including discipline, type of interruption and any tools used to assess the risk of bias / methodological quality of included ITS studies; at the meta-analytic level we will extract type of outcome, effect measure(s), meta-analytic methods, and any methods used to re-analyse the individual ITS studies. Descriptive statistics will be used to summarise the data. Conclusions: This review will describe the methods used to meta-analyse results from ITS studies. Results from this review will inform future methods research examining how different meta-analysis methods perform, and ultimately, the development of guidance.

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