scholarly journals COVID-19 Associated Mucormycosis: Scoping Review Protocol

2021 ◽  
Author(s):  
Salman Hussain ◽  
Harveen Baxi ◽  
Abanoub Riad ◽  
Jitka Kulgarova ◽  
Radim Licenik ◽  
...  
Keyword(s):  
Fungal Infection ◽  
Scoping Review ◽  
Data Extraction ◽  
Special Focus ◽  
Unpublished Studies ◽  
Scoping Reviews ◽  
Registration Number ◽  
Critical Appraisal Tool ◽  
Meta Analyses ◽  
Detailed Search

Background and Objective: Mucormycosis, a serious and rare fungal infection, has occurred concurrently in COVID-19 patients globally. Mucormycosis is associated with a high risk of all-cause mortality, with mortality depending on body site infected, fungus type, and the patients overall condition. This deadly fungal infection is quite difficult and expensive to treat. Therefore, this scoping review aims to map all the empirical evidence on the association of COVID-19 with mucormycosis with a special focus on clinical presentation, treatment, and patient outcomes. Inclusion criteria: We will include all those studies which are presenting mucormycosis cases in COVID-19 positive patients. Methods: The proposed scoping review will be developed by adhering to the JBI methodology for scoping reviews and will be reported as per the Preferred Reporting Items for Systematic Reviews and Meta-analyses for Scoping Reviews (PRISMA-ScR). A detailed search strategy has already been utilized to locate both published and unpublished studies. Literature search was carried out in three phases. PubMed, Scopus, Cochrane, Google scholar was searched. Data will be extracted in a pre-designed data extraction sheet and risk of bias will be assessed using JBI critical appraisal tool. Data will be presented in tabular form. OSF registration number: osf.io/438sm

scholarly journals Choice of anaesthetic in emergency operations: a protocol for a scoping review

BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e030817 ◽  
Author(s):  
Lucy Elliott ◽  
Rachael L Morley ◽  
Ronelle Mouton ◽  
Robert Hinchliffe
Keyword(s):  
Scoping Review ◽  
Descriptive Analysis ◽  
Kidney Injury ◽  
General Anaesthetic ◽  
Emergency Operations ◽  
Coronary Syndrome ◽  
Scoping Reviews ◽  
Morbidity Data ◽  
Registration Number ◽  
Meta Analyses

IntroductionThe effect of mode of anaesthesia in emergency surgery is uncertain. This scoping review will identify and summarise the evidence for local, regional or general anaesthetic in adult patients undergoing emergency surgical procedures.Methods and analysisScoping review methodology will be followed. The search will be run in EMBASE and Medline. Further articles will be identified from searching references in relevant studies. A descriptive analysis will be performed considering the following main outcomes; mortality, length of stay, intensive care unit (ICU) admission, postoperative pain and morbidity. Data on complications including acute coronary syndrome, stroke, thromboembolic events, delirium, acute kidney injury, respiratory tract infection, surgical site infection and study-specific additional outcomes will also be collected.Ethics and disseminationNo ethics approval is required. The results will be used to inform a funding application for a clinical trial comparing local/regional anaesthetic with general anaesthetic. The study will be disseminated via peer-reviewed manuscript and conferences.Trial registration numberResults will be reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) Statement. There are currently no registries that accept scoping reviews.

scholarly journals Artificial Intelligence in the Fight Against COVID-19: Scoping Review (Preprint)

2020 ◽  
Author(s):  
Alaa Abd-Alrazaq ◽  
Mohannad Alajlani ◽  
Dari Alhuwail ◽  
Jens Schneider ◽  
Saif Al-Kuwari ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Scoping Review ◽  
Data Extraction ◽  
Length Of Hospital Stay ◽  
Support Vector ◽  
Data Sets ◽  
Daily Lives ◽  
Scoping Reviews ◽  
Target Disease ◽  
Meta Analyses

BACKGROUND In December 2019, COVID-19 broke out in Wuhan, China, leading to national and international disruptions in health care, business, education, transportation, and nearly every aspect of our daily lives. Artificial intelligence (AI) has been leveraged amid the COVID-19 pandemic; however, little is known about its use for supporting public health efforts. OBJECTIVE This scoping review aims to explore how AI technology is being used during the COVID-19 pandemic, as reported in the literature. Thus, it is the first review that describes and summarizes features of the identified AI techniques and data sets used for their development and validation. METHODS A scoping review was conducted following the guidelines of PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews). We searched the most commonly used electronic databases (eg, MEDLINE, EMBASE, and PsycInfo) between April 10 and 12, 2020. These terms were selected based on the target intervention (ie, AI) and the target disease (ie, COVID-19). Two reviewers independently conducted study selection and data extraction. A narrative approach was used to synthesize the extracted data. RESULTS We considered 82 studies out of the 435 retrieved studies. The most common use of AI was diagnosing COVID-19 cases based on various indicators. AI was also employed in drug and vaccine discovery or repurposing and for assessing their safety. Further, the included studies used AI for forecasting the epidemic development of COVID-19 and predicting its potential hosts and reservoirs. Researchers used AI for patient outcome–related tasks such as assessing the severity of COVID-19, predicting mortality risk, its associated factors, and the length of hospital stay. AI was used for infodemiology to raise awareness to use water, sanitation, and hygiene. The most prominent AI technique used was convolutional neural network, followed by support vector machine. CONCLUSIONS The included studies showed that AI has the potential to fight against COVID-19. However, many of the proposed methods are not yet clinically accepted. Thus, the most rewarding research will be on methods promising value beyond COVID-19. More efforts are needed for developing standardized reporting protocols or guidelines for studies on AI.

scholarly journals Artificial Intelligence in the Fight Against COVID-19: Scoping Review

10.2196/20756 ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. e20756 ◽  
Author(s):  
Alaa Abd-Alrazaq ◽  
Mohannad Alajlani ◽  
Dari Alhuwail ◽  
Jens Schneider ◽  
Saif Al-Kuwari ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Scoping Review ◽  
Data Extraction ◽  
Length Of Hospital Stay ◽  
Support Vector ◽  
Data Sets ◽  
Daily Lives ◽  
Scoping Reviews ◽  
Target Disease ◽  
Meta Analyses

Background In December 2019, COVID-19 broke out in Wuhan, China, leading to national and international disruptions in health care, business, education, transportation, and nearly every aspect of our daily lives. Artificial intelligence (AI) has been leveraged amid the COVID-19 pandemic; however, little is known about its use for supporting public health efforts. Objective This scoping review aims to explore how AI technology is being used during the COVID-19 pandemic, as reported in the literature. Thus, it is the first review that describes and summarizes features of the identified AI techniques and data sets used for their development and validation. Methods A scoping review was conducted following the guidelines of PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews). We searched the most commonly used electronic databases (eg, MEDLINE, EMBASE, and PsycInfo) between April 10 and 12, 2020. These terms were selected based on the target intervention (ie, AI) and the target disease (ie, COVID-19). Two reviewers independently conducted study selection and data extraction. A narrative approach was used to synthesize the extracted data. Results We considered 82 studies out of the 435 retrieved studies. The most common use of AI was diagnosing COVID-19 cases based on various indicators. AI was also employed in drug and vaccine discovery or repurposing and for assessing their safety. Further, the included studies used AI for forecasting the epidemic development of COVID-19 and predicting its potential hosts and reservoirs. Researchers used AI for patient outcome–related tasks such as assessing the severity of COVID-19, predicting mortality risk, its associated factors, and the length of hospital stay. AI was used for infodemiology to raise awareness to use water, sanitation, and hygiene. The most prominent AI technique used was convolutional neural network, followed by support vector machine. Conclusions The included studies showed that AI has the potential to fight against COVID-19. However, many of the proposed methods are not yet clinically accepted. Thus, the most rewarding research will be on methods promising value beyond COVID-19. More efforts are needed for developing standardized reporting protocols or guidelines for studies on AI.

scholarly journals Current tools available for investigating vaccine hesitancy: a scoping review protocol

BMJ Open ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. e033245 ◽  
Author(s):  
Elizabeth O Oduwole ◽  
Elizabeth D Pienaar ◽  
Hassan Mahomed ◽  
Charles Shey Wiysonge
Keyword(s):  
Narrative Analysis ◽  
Scoping Review ◽  
Research Question ◽  
Controlled Vocabulary ◽  
Vaccine Hesitancy ◽  
Scoping Reviews ◽  
Registration Number ◽  
Review Protocol ◽  
Health Institutions ◽  
Meta Analyses

IntroductionVaccine hesitancy, defined as the delay in acceptance or refusal of vaccination despite availability of vaccination services is responsible in part for suboptimal levels of vaccination coverage worldwide. The WHO recommends that countries incorporate plans to measure and address vaccine hesitancy into their immunisation programmes. This requires that governments and health institutions be able to detect concerns about vaccination in the population and monitor changes in vaccination behaviours. To do this effectively, tools to detect and measure vaccine hesitancy are required. The purpose of this scoping review is to give a broad overview of currently available vaccine hesitancy measuring tools and present a summary of their nature, similarities and differences.Methods and analysisThe review will be conducted using the framework for scoping review proffered by Arksey and O’Malley. It will comply with the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews’ guidelines. The broader research question of this review is: what vaccine hesitancy measuring tools are currently available?Search strategies will be developed using controlled vocabulary and selected keywords. PubMed, Web of Science, Scopus and reference lists of relevant publications will be searched. Titles and abstracts will be independently screened by two authors and data from full-text articles meeting the inclusion criteria will be extracted independently by two authors using a pretested data charting form. Discrepancies will be resolved by discussion and consensus. Results will be presented using descriptive statistics such as percentages, tables, charts and flow diagrams as appropriate. Narrative analysis will be used to summarise the findings of the review.Ethics and disseminationEthics approval is not required for the review. It will be submitted as part of a doctoral thesis, presented at conferences and published in a peer-reviewed journal.Trial registration numberhttps://osf.io/x8fjk/

Artificial Intelligence for Skin Cancer Detection: A Scoping Review (Preprint)

2020 ◽  
Author(s):  
Abdulrahman Takiddin ◽  
Jens Schneider ◽  
Yin Yang ◽  
Alaa Abd-Alrazaq ◽  
Mowafa Househ
Keyword(s):  
Artificial Intelligence ◽  
Skin Cancer ◽  
Scoping Review ◽  
Performance Metrics ◽  
Data Extraction ◽  
Characteristic Curve ◽  
Evaluation Metrics ◽  
Cancer Type ◽  
Computer Algorithms ◽  
Scoping Reviews

BACKGROUND Skin cancer is the most common cancer type affecting humans. Traditional skin cancer diagnosis methods are costly, require a professional physician, and take time. Hence, to aid in diagnosing skin cancer, Artificial Intelligence (AI) tools are being used, including shallow and deep machine learning-based techniques that are trained to detect and classify skin cancer using computer algorithms and deep neural networks. OBJECTIVE The aim of this study is to identify and group the different types of AI-based technologies used to detect and classify skin cancer. The study also examines the reliability of the selected papers by studying the correlation between the dataset size and number of diagnostic classes with the performance metrics used to evaluate the models. METHODS We conducted a systematic search for articles using IEEE Xplore, ACM DL, and Ovid MEDLINE databases following the PRISMA Extension for Scoping Reviews (PRISMA-ScR) guidelines. The study included in this scoping review had to fulfill several selection criteria; to be specifically about skin cancer, detecting or classifying skin cancer, and using AI technologies. Study selection and data extraction were conducted by two reviewers independently. Extracted data were synthesized narratively, where studies were grouped based on the diagnostic AI techniques and their evaluation metrics. RESULTS We retrieved 906 papers from the 3 databases, but 53 studies were eligible for this review. While shallow techniques were used in 14 studies, deep techniques were utilized in 39 studies. The studies used accuracy (n=43/53), the area under receiver operating characteristic curve (n=5/53), sensitivity (n=3/53), and F1-score (n=2/53) to assess the proposed models. Studies that use smaller datasets and fewer diagnostic classes tend to have higher reported accuracy scores. CONCLUSIONS The adaptation of AI in the medical field facilitates the diagnosis process of skin cancer. However, the reliability of most AI tools is questionable since small datasets or low numbers of diagnostic classes are used. In addition, a direct comparison between methods is hindered by a varied use of different evaluation metrics and image types.

Factors Related to Positive Memory Count Among Trauma-Exposed Individuals: A Scoping Review

2021 ◽  
pp. 152483802110131
Author(s):  
Ateka A. Contractor ◽  
Stephanie V. Caldas ◽  
Megan Dolan ◽  
Nicole H. Weiss
Keyword(s):  
Scoping Review ◽  
Stress Disorder ◽  
Acute Stress ◽  
Longitudinal Research ◽  
Trauma Exposure ◽  
Memory Specificity ◽  
Scoping Reviews ◽  
Meta Analyses ◽  
Study Designs ◽  
Positive Memories

To examine the existing knowledge base on trauma experiences and positive memories, we conducted a scoping review of trauma and post-trauma factors related to positive memory count. In July 2019, we searched PubMed, Medline, PsycINFO, Web of Science, Cumulative Index of Nursing and Allied Health Literature, Embase, and PTSDpubs for a combination of words related to “positive memories/experiences,” “trauma/posttraumatic stress disorder (PTSD),” and “number/retrieval.” Twenty-one articles met inclusion criteria (adult samples, original articles in English, peer-reviewed, included trauma-exposed group or variable of trauma exposure, trauma exposure examined with a trauma measure/methodology, assessed positive memory count, empirical experimental/non-experimental study designs). Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines, two authors reviewed abstracts, completed a secondary search, and independently extracted data. Our review indicated (1) that depression and PTSD were most researched; (2) no conclusive relationships of positive memory count with several psychopathology (depression, acute stress disorder, eating disorder, and anxiety), cognitive/affective, neurobiological, and demographic factors; (3) trends of potential relationships of positive memory count with PTSD and childhood interpersonal traumas (e.g., sexual and physical abuse); and (4) lower positive memory specificity as a potential counterpart to greater overgeneral positive memory bias. Given variations in sample characteristics and methodology as well as the limited longitudinal research, conclusions are tentative and worthy of further investigations.

scholarly journals Role of occupational therapy in musicians’ health: a scoping review protocol

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e040922
Author(s):  
Bethany Villas ◽  
Uira Duarte Wisnesky ◽  
Sandra Campbell ◽  
Lauren Slavik ◽  
Amynah S. Mevawala ◽  
...  
Keyword(s):  
Occupational Therapy ◽  
Scoping Review ◽  
Health Conditions ◽  
Study Selection ◽  
Increased Risk ◽  
Scoping Reviews ◽  
Review Protocol ◽  
And Performance ◽  
Meta Analyses

Review question/objectiveThe purpose of this proposed review is twofold: first, to understand the role of occupational therapy presented in the musicians’ health literature; and second, to explore the potential for this role.IntroductionThe intense movement, awkward postures, concentration and emotional communication required of musicians can place them at increased risk of music-related health conditions, such as musculoskeletal disorders and performance anxiety. The development of music-related health conditions can be emotionally and financially devastating. The role of occupational therapy in musicians’ health has been previously discussed; however, no rigorous reviews of the scholarly literature have been published. We will, therefore, undertake a scoping review with the following research questions: (1) what is known about the role of occupational therapy in instrumental musicians’ health? and (2) what is the potential role of occupational therapy in musicians’ health?Methods and analysisA preliminary search of Medline, CINAHL, SCOPUS and Web of Science was previously undertaken by the first author to determine the extent of the research on this topic and to confirm that no other reviews have been conducted or are in progress. Study selection and analysis will follow the Joanna Briggs Institute and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews guidelines for conducting a scoping review.Ethics and disseminationFormal ethics approval is not required at our institution for a review of published literature. The results of this review will be shared through peer-reviewed publications, conference presentations and traditional and social media.

Parental Bereavement in Older Age: A Scoping Review

2021 ◽  
pp. 105413732199581
Author(s):  
Patricia Moyle Wright
Keyword(s):  
Older Adults ◽  
Scoping Review ◽  
Adult Child ◽  
Older Age ◽  
Parental Bereavement ◽  
Older Parents ◽  
Physical Decline ◽  
Scoping Reviews ◽  
Cultural Mores ◽  
Meta Analyses

A scoping review of parental bereavement in older age was conducted to identify the unique needs of older adults after the loss of an adult child. Inclusion and exclusion criteria were developed in accordance with the stated objectives of this review, which was guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). In total, 26 research studies were included. The data were then analyzed using a systematic approach for organizing and synthesizing key data. The results indicated that some consequences and mediators of parental bereavement are similar regardless of age. But, older adults experience greater loneliness, isolation, and stigma than their younger counterparts. Older parents are also at greater risk for physical decline, mortality, and institutionalization following the death of an adult child. Religious and cultural mores also have influence on the bereavement process.

scholarly journals Intersectional stigma and its impact on HIV prevention and care among MSM and WSW in sub-Saharan African countries: a protocol for a scoping review

BMJ Open ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. e047280
Author(s):  
Gamji M’Rabiu Abubakari ◽  
Debbie Dada ◽  
Jemal Nur ◽  
DeAnne Turner ◽  
Amma Otchere ◽  
...  
Keyword(s):  
Hiv Prevention ◽  
Data Extraction ◽  
Grey Literature ◽  
Secondary Data ◽  
Well Being ◽  
Sub Saharan Africa ◽  
African Countries ◽  
Scoping Reviews ◽  
Sub Saharan ◽  
Meta Analyses

IntroductionResearch has established that various forms of stigma (HIV stigma, gender non-conforming stigma and same-gender sex stigma) exist across Sub-Saharan Africa and have consequences for the utilisation of HIV prevention and care services. Stigmas are typically investigated in HIV literature individually or through investigating individual populations and the various stigmas they may face. The concept of intersectionality highlights the interconnected nature of social categorisations and their ability to create interdependent systems of discrimination based on gender, race, sexuality and so on. Drawing from perspectives on intersectionality, intersectional stigma denotes the convergence of multiple marginalised identities within an individual or a group, the experiences of stigma associated with these identities as well as the synergistic impact of these experiences on health and well-being. With respect to HIV, public health scholars can examine the impacts of intersectional stigmas on HIV prevention and care utilisation.Methods and analysisReviewers will search systematically through MEDLINE, Global Health, Embase, Scopus, Web of Science Core Collection and Africa Index Medicus and citations for quantitative studies, qualitative studies and grey literature that include data on stigma and HIV among men who have sex with men and women who have sex with women in Sub-Saharan Africa. Eligible studies will include primary or secondary data on stigma related to HIV risk factors experienced by this population. Studies will be written in French or English and be published between January 1991 and November 2020. All screening and data extraction will be performed in duplicate, and if discrepancies arise, they will be settled by GM’RA, LEN, DD or AO. Findings from this study will be reported according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews.Ethics and disseminationEthics approval is not required as there will be no human participants and no protected data will be used in this study. We will disseminate findings through peer-reviewed manuscripts, conferences and webinars.

scholarly journals Instruments for measuring nursing research competence: a protocol for a scoping review

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e042325
Author(s):  
Qirong Chen ◽  
Chongmei Huang ◽  
Aimee R Castro ◽  
Siyuan Tang
Keyword(s):  
Scoping Review ◽  
Data Extraction ◽  
Target Population ◽  
Measurement Properties ◽  
Nursing Research ◽  
Measurement Instruments ◽  
Health Measurement ◽  
Research Competence ◽  
Scoping Reviews

IntroductionNursing research competence of nursing personnel has received much attention in recent years, as nursing has developed as both an independent academic discipline and an evidence-based practiing profession. Instruments for appraising nursing research competence are important, as they can be used to assess nursing research competence of the target population, showing changes of this variable over time and measuring the effectiveness of interventions for improving nursing research competence. There is a need to map the current state of the science of the instruments for nursing research competence, and to identify well validated and reliable instruments. This paper describes a protocol for a scoping review to identify, evaluate, compare and summarise the instruments designed to measure nursing research competence.Methods and analysisThe scoping review will be conducted following Arksey and O’Malley’s methodological framework and Levac et al’s additional recommendations for applying this framework. The scoping review will be reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist. The protocol is registered through the Open Science Framework (https://osf.io/ksh43/). Eight English databases and two Chinese databases will be searched between 1 December 2020 and 31 December 2020 to retrieve manuscripts which include instrument(s) of nursing research competence. The literature screening and data extraction will be conducted by two researchers, independently. A third researcher will be involved when consensus is needed. The COnsensus-based Standards for the selection of health Measurement INstruments methodology will be used to evaluate the methodological quality of the included studies on measurement properties of the instruments, as well as the quality of all the instruments identified.Ethics and disseminationEthical approval is not needed. We will disseminate the findings through a conference focusing on nursing research competence and publication of the results in a peer-reviewed journal.

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