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Restoring nutrient circularity across scales is important for ecosystem integrity as well as nutrient and food security. As such, research and development of technologies to recover plant nutrients from various organic residues has intensified. Yet, this emerging field is diverse and difficult to navigate, especially for newcomers. As an increasing number of actors search for circular solutions to nutrient management, there is a need to simplify access to the latest knowledge. Since the majority of nutrients entering urban areas end up in human excreta, we have chosen to focus on human excreta and domestic wastewater. Through systematic mapping with stakeholder engagement, we compiled and consolidated available evidence from research and practice. In this paper, we present 'Egestabase' - a carefully curated open-access online evidence platform that presents this evidence base in a systematic and accessible manner. We hope that this online evidence platform helps a variety of actors to navigate evidence on circular nutrient solutions for human excreta and domestic wastewater with ease and keep track of new findings.

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BACKGROUND: Embedding researchers into policy and other settings may enhance research capacity within organisations to enable them to become more research active. We aimed to generate an evidence map on evaluations of embedded researcher interventions to (i) identify where systematic reviews and primary research are needed and (ii) develop conceptual understandings of 'embedded researchers'. We define 'embedded researchers' through a set of principles that incorporate elements such as the aim of activities, the types of relationships and learning involved, and the affiliations and identities adopted. METHODS: We included studies published across all sectors, searching fourteen databases, other web sources and two journals for evaluations published between 1991 and spring 2021. Data were extracted using a coding tool developed for this study. We identified new typologies of embedded researcher interventions through undertaking Latent Class Analysis. RESULTS: The map describes 229 evaluations spanning a variety of contexts. Our set of principles allowed us to move beyond a narrow focus on embedded researchers in name alone, towards consideration of the wide range of roles, activities, identities, and affiliations related to embedded researchers. We identified 108 different allied terms describing an embedded researcher. Embedded researcher activity spanned a continuum across lines of physical, cultural, institutional, and procedural embeddedness (from weaker to more intense forms of embeddedness) and took a range of forms that bridge or blur boundaries between academia and policy/practice. CONCLUSIONS: We developed a broad map of international embedded researcher activity in a wide range of sectors. The map suggests that embedded researcher interventions occupy a broader suite of models than previously acknowledged and our findings also offer insight on the type and nature of this literature. Given the clear policy interest in this area, a better understanding of the processes involved with becoming embedded within an organisation is needed. Further work is also necessary to address the challenges of evaluating the work of embedded researchers, including consideration for which outcome measures are most appropriate, to better understand their influence.

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Agriculture is expanding rapidly across the tropics. While cultivation can boost socioeconomic conditions and food security, it also threatens native ecosystems. Oil palm (Elaeis guineensis), which is grown pantropically, is the most productive vegetable oil crop worldwide. The impacts of oil palm cultivation have been studied extensively in Southeast Asia and - to a lesser extent - in Latin America but, in comparison, very little is known about its impacts in Africa: oil palm's native range, and where cultivation is expanding rapidly. In this paper, we introduce a large-scale research programme - the Sustainable Oil Palm in West Africa (SOPWA) Project - that is evaluating the relative ecological impacts of oil palm cultivation under traditional (i.e., by local people) and industrial (i.e., by a large-scale corporation) management in Liberia. Our paper is twofold in focus. First, we use systematic mapping to appraise the literature on oil palm research in an African context, assessing the geographic and disciplinary focus of existing research. We found 757 publications occurring in 36 African countries. Studies tended to focus on the impacts of palm oil consumption on human health and wellbeing. We found no research that has evaluated the whole-ecosystem (i.e., multiple taxa and ecosystem functions) impacts of oil palm cultivation in Africa, a knowledge gap which the SOPWA Project directly addresses. Second, we describe the SOPWA Project's study design and-using canopy cover, ground vegetation cover, and soil temperature data as a case study-demonstrate its utility for assessing differences between areas of rainforest and oil palm agriculture. We outline the socioecological data collected by the SOPWA Project to date and describe the potential for future research, to encourage new collaborations and additional similar projects of its kind in West Africa. Increased research in Africa is needed urgently to understand the combined ecological and sociocultural impacts of oil palm and other agriculture in this unique region. This will help to ensure long-term sustainability of the oil palm industry-and, indeed, all tropical agricultural activity-in Africa.

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Evidence synthesis methodologies rely on bibliographic data. The process of searching and retrieving bibliographic data can be supported by using bibliographic APIs. This paper presents a collection of code that serves both as a recipe book and a finished working example of how to interact with Scopus and OpenAlex APIs for the purpose of supporting evidence synthesis. While the procedure and code base presented here were developed as part of an evidence synthesis project in the field of nutrient recovery from human excreta and domestic wastewater for reuse in agriculture, the procedure and code base should be useful more broadly for evidence syntheses or bibliographic analyses also in other fields.•This paper presents a working example of how to interact with Scopus and OpenAlex APIs•The code base is written in SQL (MySQL) and Unix Shell (Bash)•The procedure was developed in an MacOS environment but should be portable to other environments.

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OBJECTIVES: There is increasing recognition of the value and capabilities of design in healthcare. Beyond the development of medical devices, design is increasingly being applied to intangible, complex and systemic healthcare problems. However, there is limited evidence on the use of design specifically in the field of oral health. This systematic mapping study aims to collate and catalogue evidence of design in oral health. METHODS: A systematic search of academic databases and grey literature was performed. Duplicate results were removed, and publications relating to the same project were grouped. Reviewers from design and oral health independently screened a sample of the dataset. Projects of both relevance to oral health, and with input from a designer or clear implementation of a design methodology or approach were included. Projects were coded and plotted on a novel interactive evidence map. RESULTS: 119 design and oral health projects were included between 1973 and 2022. Interventional (n = 94, 79%), empirical (n = 46, 39%), methodological (n = 35, 29%) and theoretical (n = 7, 6%) design contributions were identified across the projects. The projects were categorized by four orders of design: first-graphics (n = 6, 5%), second-products (n = 41, 34%), third-interactions (n = 70, 59%), and fourth-systems (n = 2, 2%). Design was found in a diverse range of contexts in oral health; most commonly being relevant to general patients (n = 61, 51%), and for use in general dental practice (n = 56, 47%). Further design outcome categories (digital material; printed material; object; room or space; apparel; process; smart device; tangible interface; graphical interface; virtual reality; service; policy; system) and oral health themes (oral health literacy; oral care training; dental clinic design; dental instruments and equipment; personal oral care; dental appliance; clinician health and productivity; clinical information systems; informed consent; oral health promotion and prevention; oral care training; patient interactions and experience) were identified. CONCLUSIONS: The novel interactive evidence map of design in oral health created enables ongoing and open-ended multivariant documentation and analysis of the evidence, as well as identification of strategic opportunities. Future research and policy implications include; recognition and engagement with the full capabilities of design; integration of design experts; fostering inclusive engagement and collaboration; disentangling patient and public involvement; advancing human-centred systems approaches; adopting design-led approaches for policy-making.

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BACKGROUND: Marked ethnic inequalities in COVID-19 infection and its consequences have been documented. The aim of this paper is to identify the range and nature of evidence on potential pathways which lead to ethnic inequalities in COVID-19 related health outcomes in the United Kingdom (UK). METHODS: We searched six bibliographic and five grey literature databases from 1st December 2019 to 23rd February 2022 for research on pathways to ethnic inequalities in COVID-19 health outcomes in the UK. Meta-data were extracted and coded, using a framework informed by a logic model. Open Science Framework Registration: DOI 10.17605/OSF.IO/HZRB7. RESULTS: The search returned 10,728 records after excluding duplicates, with 123 included (83% peer-reviewed). Mortality was the most common outcome investigated (N = 79), followed by infection (N = 52). The majority of studies were quantitative (N = 93, 75%), with four qualitative studies (3%), seven academic narrative reviews (6%), nine third sector reports (7%) and five government reports (4%), and four systematic reviews or meta-analyses (3%). There were 78 studies which examined comorbidities as a pathway to mortality, infection, and severe disease. Socioeconomic inequalities (N = 67) were also commonly investigated, with considerable research into neighbourhood infrastructure (N = 38) and occupational risk (N = 28). Few studies examined barriers to healthcare (N = 6) and consequences of infection control measures (N = 10). Only 11% of eligible studies theorised racism to be a driver of inequalities and 10% (typically government/third sector reports and qualitative studies) explored this as a pathway. CONCLUSION: This systematic map identified knowledge clusters that may be amenable to subsequent systematic reviews, and critical gaps in the evidence-base requiring additional primary research. Most studies do not incorporate or conceptualise racism as the fundamental cause of ethnic inequalities and therefore the contribution to literature and policy is limited.

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BACKGROUND: To review the highest level of available evidence, a systematic map identified systematic reviews that evaluated the effectiveness of interventions to improve contraception choice and increase contraception use. METHODS: Systematic reviews published since 2000 were identified from searches of nine databases. Data were extracted using a coding tool developed for this systematic map. Methodological quality of included reviews was assessed using AMSTAR 2 criteria. FINDINGS AND CONCLUSION: Fifty systematic reviews reported evaluations of interventions for contraception choice and use addressing three domains (individual, couples, community); Meta-analyses in 11 of the reviews mostly addressed interventions for individuals. We identified 26 reviews covering High Income Countries, 12 reviews covering Low Middle-Income Countries and the rest a mix of both. Most reviews (15) focussed on psychosocial interventions, followed by incentives (6) and m-health interventions (6). The strongest evidence from meta-analyses is for the effectiveness of motivational interviewing, contraceptive counselling, psychosocial interventions, school-based education, and interventions promoting contraceptive access, demand-generation interventions (community and facility based, financial mechanisms and mass media), and mobile phone message interventions. Even in resource constrained settings, community-based interventions can increase contraceptive use. There are gaps in the evidence on interventions for contraception choice and use, and limitations in study designs and lack of representativeness. Most approaches focus on individual women rather than couples or wider socio-cultural influences on contraception and fertility. This review identifies interventions which work to increase contraception choice and use, and these could be implemented in school, healthcare or community settings.

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Underwater light is spatially as well as temporally variable and directly affects phytoplankton growth and competition. Here we systematically (following the guidelines of PRISMA-EcoEvo) searched and screened the published literature resulting in 640 individual articles. We mapped the conducted research for the objectives of (1) phytoplankton fundamental responses to light, (2) effects of light on the competition between phytoplankton species, and (3) effects of climate-change-induced changes in the light availability in aquatic ecosystems. Among the fundamental responses of phytoplankton to light, the effects of light intensity (quantity, as measure of total photon or energy flux) were investigated in most identified studies. The effects of the light spectrum (quality) that via species-specific light absorbance result in direct consequences on species competition emerged more recently. Complexity in competition arises due to variability and fluctuations in light which effects are sparsely investigated on community level. Predictions regarding future climate change scenarios included changes in in stratification and mixing, lake and coastal ocean darkening, UV radiation, ice melting as well as light pollution which affect the underwater light-climate. Generalization of consequences is difficult due to a high variability, interactions of consequences as well as a lack in sustained timeseries and holistic approaches. Nevertheless, our systematic literature map, and the identified articles within, provide a comprehensive overview and shall guide prospective research.

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People believe information more if they have encountered it before, a finding known as the illusory truth effect. But what is the evidence for the generality and pervasiveness of the illusory truth effect? Our preregistered systematic map describes the existing knowledge base and objectively assesses the quality, completeness and interpretability of the evidence provided by empirical studies in the literature. A systematic search of 16 bibliographic and grey literature databases identified 93 reports with a total of 181 eligible studies. All studies were conducted at Western universities, and most used convenience samples. Most studies used verbatim repetition of trivia statements in a single testing session with a minimal delay between exposure and test. The exposure tasks, filler tasks and truth measures varied substantially across studies, with no standardisation of materials or procedures. Many reports lacked transparency, both in terms of open science practices and reporting of descriptive statistics and exclusions. Systematic mapping resulted in a searchable database of illusory truth effect studies ( https://osf.io/37xma/ ). Key limitations of the current literature include the need for greater diversity of materials as stimuli (e.g., political or health contents), more participants from non-Western countries, studies examining effects of multiple repetitions and longer intersession intervals, and closer examination of the dependency of effects on the choice of exposure task and truth measure. These gaps could be investigated using carefully designed multi-lab studies. With a lack of external replications, preregistrations, data and code, verifying replicability and robustness is only possible for a small number of studies.

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BACKGROUND: It is well-recognized that consumers face many challenges in understanding and applying nutritional guidance for low-calorie sweeteners (LCS). Thus, this research aims to (1) assess how benchmarks for safe levels of consumption of LCS are utilized by researchers, and (2) understand how varying use of such benchmarks may contribute to challenges in understanding and applying nutritional guidance for LCS consumption. METHODS: A systematic mapping exercise was employed to characterize when and how acceptable daily intake (ADI) values are used as health-based benchmarks in nutrition research studies that consider the safety of LCS. RESULTS: Based on results from charting 121 studies, our findings demonstrate that comparisons of LCS intake to an ADI derived by an authoritative body have been made in a diverse set of published literature, varying widely in their objectives, approaches, and populations of interest. The majority of studies compared the ADI to intake in a population under study; these represent the type of comparison that is most consistent with the intent of the ADI. Other applications of the ADI included use as a benchmark in experimental studies, risk-benefit analyses, and metabolism studies. CONCLUSION: Although most instances of ADI use were reasonable within the context of the individual studies' objectives, the diversity in use by original-study authors amplifies the continued need for development of "best practices" regarding the use and interpretation of the ADIs in current research. Using comparisons to the ADI can be a helpful way to provide context to research findings. However, in doing so, it is important that researchers utilize the value in a manner specific with its intent, as the ADI is a metric that represents an estimate of the amount of a substance that can be consumed daily over a lifetime without presenting an appreciable risk to health.

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BACKGROUND: Pilonidal sinus is a hole in the natal cleft which may cause severe pain and become infected. The evidence base for management of pilonidal sinus is said to be poor quality, poorly focused and rapidly proliferating. We undertook a systematic mapping review to provide a broad overview of the field and support the identification of research priorities. METHODS: We searched MEDLINE, CINAHL, and EMBASE from inception to 22nd Nov 2020 for primary research studies focused on the management of pilonidal sinus. We extracted data on study design and categorised studies under five major headings ('non-surgical treatment', 'surgical treatment', 'aftercare' and 'other'), producing frequency counts for different study designs. Gaps in research were identified from published systematic reviews and tabulated. RESULTS: We identified 983 eligible studies, of which 36 were systematic reviews and/or meta-analyses; 121 were randomised controlled trials), and 826 observational studies of various design. The majority of studies evaluated surgical techniques (n = 665), or adjuvant medical interventions (n = 98). The literature on wound care has developed most recently, and the evidence base includes 30% randomised controlled trials. Gaps analysis highlighted comparison of surgical techniques including flaps, laser depilation, and wound care interventions as potential areas for randomised controlled trials. CONCLUSIONS: This mapping review summarises eight decades of research on the management of pilonidal sinus. Further research is needed to identify front-running interventions, understand variation in practice and patient values, and to prioritise future research.

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Various animal models are available to study cystic fibrosis (CF). These models may help to enhance our understanding of the pathology and contribute to the development of new treatments. We systematically searched all publications on CF animal models. Because of the large number of models retrieved, we split this mapping review into two parts. Previously, we presented the genetic CF animal models. In this paper we present the nongenetic CF animal models. While genetic animal models may, in theory, be preferable for genetic diseases, the phenotype of a genetic model does not automatically resemble human disease. Depending on the research question, other animal models may thus be more informative.We searched Pubmed and Embase and identified 12,303 unique publications (after duplicate removal). All references were screened for inclusion by two independent reviewers. The genetic animal models for CF (from 636 publications) were previously described. The non-genetic CF models (from 189 publications) are described in this paper, grouped by model type: infection-based, pharmacological, administration of human materials, xenografts and other. As before for the genetic models, an overview of basic model characteristics and outcome measures is provided. This CF animal model overview can be the basis for an objective, evidence-based model choice for specific research questions. Besides, it can help to retrieve relevant background literature on outcome measures of interest.

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Background: Identifying new, eligible studies for integration into living systematic reviews and maps usually relies on conventional Boolean updating searches of multiple databases and manual processing of the updated results. Automated searches of one, comprehensive, continuously updated source, with adjunctive machine learning, could enable more efficient searching, selection and prioritisation workflows for updating (living) reviews and maps, though research is needed to establish this. Microsoft Academic Graph (MAG) is a potentially comprehensive single source which also contains metadata that can be used in machine learning to help efficiently identify eligible studies. This study sought to establish whether: (a) MAG was a sufficiently sensitive single source to maintain our living map of COVID-19 research; and (b) eligible records could be identified with an acceptably high level of specificity. Methods: We conducted an eight-arm cost-effectiveness analysis to assess the costs, recall and precision of semi-automated workflows, incorporating MAG with adjunctive machine learning, for continually updating our living map. Resource use data (time use) were collected from information specialists and other researchers involved in map production. Our systematic review software, EPPI-Reviewer, was adapted to incorporate MAG and associated machine learning workflows, and also used to collect data on recall, precision, and manual screening workload. Results: The semi-automated MAG-enabled workflow dominated conventional workflows in both the base case and sensitivity analyses. At one month our MAG-enabled workflow with machine learning, active learning and fixed screening targets identified 469 additional, eligible articles for inclusion in our living map, and cost £3,179 GBP per week less, compared with conventional methods relying on Boolean searches of Medline and Embase. Conclusions: We were able to increase recall and coverage of a large living map, whilst reducing its production costs. This finding is likely to be transferrable to OpenAlex, MAG's successor database platform.

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Conservation science and practice commonly draw on the theories and methods of social psychology to explain human cognition, emotion, and behavior germane to biodiversity conservation. We created a systematic map of the cross-disciplinary conservation science literature, which draws on social psychology concepts and methods in their application broadly described as conservation psychology. Established protocols were used to systematically collect and collate peer-reviewed research published in an explicit selection of multidisciplinary conservation journals. We sought to catalog the literature, elucidate trends and gaps, and critically reflect on the state of conservation psychology and its research practices that aim to influence conservation outcomes. The volume of publications per year and per decade increased from 1974 to 2016. Although a diversity of research designs and methods was applied, studies disproportionately focused on specific concepts (attitudes and beliefs), locations (North America and Europe), and contexts (terrestrial, rural). Studies also tended to be descriptive, quantitative, and atheoretical in nature. Our findings demonstrate that although conservation psychology has generally become more visible and prominent, it has done so within a limited space and suggest that disciplinary research principles and reporting standards must be more universally adopted by traditional and multidisciplinary conservation journals to raise the floor of empirical research.

Mapeo Sistemático de la Psicología de la Conservación Resumen Con frecuencia, la ciencia y la práctica de la conservación parten de las teorías y los métodos de la psicología social para explicar las facultades cognitivas, las emociones y el comportamiento humano relacionado con la conservación de la biodiversidad. Creamos un mapa sistemático de la literatura sobre las ciencias interdisciplinarias de la conservación, cuya aplicación está basada en los conceptos y métodos de la psicología social y el cual está caracterizado en términos generales como psicología de la conservación. Usamos protocolos establecidos para recolectar y cotejar investigaciones revisadas por pares publicadas en una selección explícita de revistas científicas multidisciplinarias sobre conservación. Buscamos catalogar la literatura, esclarecer tendencias y vacíos y reflexionar de manera importante sobre el estado de la psicología de la conservación y sus prácticas de investigación que se enfocan en influir sobre los resultados de conservación. El volumen de publicaciones por año y por década incrementó desde 1974 hasta 2016. Aunque se aplicaron diversos métodos y diseños de investigación, los estudios estuvieron enfocados desproporcionadamente en conceptos específicos (actitudes y creencias), localidades (América del Norte y Europa) y contextos (terrestre, rural). Los estudios también tendieron a ser descriptivos, cuantitativos y de naturaleza carente de teoría. Nuestros hallazgos demuestran que, aunque la psicología de la conservación se ha vuelto más visible y prominente de manera general, lo ha hecho dentro de un espacio limitado que sugiere que los principios de investigación disciplinaria y los estándares de reporte deben ser adoptados más universalmente por las revistas científicas de conservación tradicionales y multidisciplinarias para incrementar el nivel de la investigación empírica.

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Nature-based solutions (NbS) to climate change currently have considerable political traction. However, national intentions to deploy NbS have yet to be fully translated into evidence-based targets and action on the ground. To enable NbS policy and practice to be better informed by science, we produced the first global systematic map of evidence on the effectiveness of nature-based interventions for addressing the impacts of climate change and hydrometeorological hazards on people. Most of the interventions in natural or semi-natural ecosystems were reported to have ameliorated adverse climate impacts. Conversely, interventions involving created ecosystems (e.g., afforestation) were associated with trade-offs; such studies primarily reported reduced soil erosion or increased vegetation cover but lower water availability, although this evidence was geographically restricted. Overall, studies reported more synergies than trade-offs between reduced climate impacts and broader ecological, social, and climate change mitigation outcomes. In addition, nature-based interventions were most often shown to be as effective or more so than alternative interventions for addressing climate impacts. However, there were substantial gaps in the evidence base. Notably, there were few studies of the cost-effectiveness of interventions compared to alternatives and few integrated assessments considering broader social and ecological outcomes. There was also a bias in evidence toward the Global North, despite communities in the Global South being generally more vulnerable to climate impacts. To build resilience to climate change worldwide, it is imperative that we protect and harness the benefits that nature can provide, which can only be done effectively if informed by a strengthened evidence base.

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Almost 19% of the GDP of Ethiopia results from livestock production. Ruminants, in particular, form the majority of the national herd and are a critical source of income for smallholder farmers. Infectious diseases have been identified as a major cause of reduced livestock productivity in low- and middle-income countries (LMICs); therefore, a sound and comprehensive understanding of the relevant evidence would be beneficial in order to enable decision making on disease control policies. However, livestock disease data from sub-Saharan Africa is variable and disparate, which poses a challenge for evidence synthesis. This paper describes a protocol for a systematic mapping review of the recent available evidence on ruminant disease prevalence and associated mortality in Ethiopia. Literature sources will be identified using database search strategies. The titles, abstracts and, subsequently, full texts will be screened for inclusion based on predefined eligibility criteria. Specific data will be extracted and a preliminary qualitative assessment of the evidence will be performed using predefined indicators. The planned systematic map will be the first to provide a large-scale overview of the available ruminant disease evidence in Ethiopia; the final output will be an interactive dashboard tool to inform critical stakeholders in policy and research.

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BACKGROUND: Recruiting and retaining participants in randomised controlled trials (RCTs) is challenging. Digital tools, such as social media, data mining, email or text-messaging, could improve recruitment or retention, but an overview of this research area is lacking. We aimed to systematically map the characteristics of digital recruitment and retention tools for RCTs, and the features of the comparative studies that have evaluated the effectiveness of these tools during the past 10 years. METHODS: We searched Medline, Embase, other databases, the Internet, and relevant web sites in July 2018 to identify comparative studies of digital tools for recruiting and/or retaining participants in health RCTs. Two reviewers independently screened references against protocol-specified eligibility criteria. Included studies were coded by one reviewer with 20% checked by a second reviewer, using pre-defined keywords to describe characteristics of the studies, populations and digital tools evaluated. RESULTS: We identified 9163 potentially relevant references, of which 104 articles reporting 105 comparative studies were included in the systematic map. The number of published studies on digital tools has doubled in the past decade, but most studies evaluated digital tools for recruitment rather than retention. The key health areas investigated were health promotion, cancers, circulatory system diseases and mental health. Few studies focussed on minority or under-served populations, and most studies were observational. The most frequently-studied digital tools were social media, Internet sites, email and tv/radio for recruitment; and email and text-messaging for retention. One quarter of the studies measured efficiency (cost per recruited or retained participant) but few studies have evaluated people's attitudes towards the use of digital tools. CONCLUSIONS: This systematic map highlights a number of evidence gaps and may help stakeholders to identify and prioritise further research needs. In particular, there is a need for rigorous research on the efficiency of the digital tools and their impact on RCT participants and investigators, perhaps as studies-within-a-trial (SWAT) research. There is also a need for research into how digital tools may improve participant retention in RCTs which is currently underrepresented relative to recruitment research. REGISTRATION: Not registered; based on a pre-specified protocol, peer-reviewed by the project's Advisory Board.

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Cyberbullying is associated with considerable negative mental and psychosocial consequences in children and young people, making it a serious public health concern. To review the highest level of available evidence, a systematic mapping review was conducted to identify systematic reviews that investigated the relationship between cyberbullying and mental and psychological outcomes in young people. Topic-relevant bibliographic databases and online resources were searched to identify reviews published since 2007. Data were extracted using a coding tool developed for this study. Methodological quality of included reviews was assessed using AMSTAR criteria. Nineteen systematic reviews satisfied the inclusion criteria and they reported a strong negative association between cyberbullying and mental health outcomes in young people. Meta-analysis was performed in 11 reviews and narrative synthesis in 8 reviews. Data were derived from predominantly cross-sectional studies and a clear causal relationship between cyberbullying and mental outcomes cannot be established. Two-third of the included reviews were classified to be of low or unclear quality, due to the lack of quality assessment of the primary studies included in individual reviews. This systematic map consolidates available evidence at review level and confirms the existing gaps in longitudinal and qualitative evidence synthesis. Closer examination of the moderating factors influencing cyberbullying behaviors in future research can advance our understanding and inform the development of tailored programs of intervention to mitigate the negative impact of this phenomenon.

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Animal models for cystic fibrosis (CF) have enhanced our understanding of the pathology and contributed to the development of new treatments. In the field of CF, many animal models have been developed and described. To our knowledge, thus far, none of the reviews of CF animal models has used a systematic methodology. A systematic approach to creating model overviews can lead to an objective, evidence-based choice of an animal model for new research questions. We searched Pubmed and Embase for the currently available animal models for CF. Two independent reviewers screened the results. We included all primary studies describing an animal model for CF. After duplicate removal, 12,304 publications were left. Because of the large number of models, in the current paper, only the genetic models are presented. A total of 636 publications were identified describing genetic animal models for CF in mice, pigs, ferrets, rats and zebrafish. Most of these models have an altered Cftr gene. An overview of basic model characteristics and outcome measures for these genetic models is provided, together with advice on using these data. As far as the authors are aware, this is one of the largest systematic mapping reviews on genetic animal models for CF. It can aid in selecting a suitable model and outcome measures. In general, the reporting quality of the included publications was poor. Further systematic reviews are warranted to determine the quality and translational value of these models further.

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The domain of healthcare has always been flooded with a huge amount of complex data, coming in at a very fast-pace. A vast amount of data is generated in different sectors of healthcare industry: data from hospitals and healthcare providers, medical insurance, medical equipment, life sciences and medical research. With the advancement in technology, there is a huge potential for utilization of this data for transforming healthcare. The application of analytics, machine learning and artificial intelligence over big data enables identification of patterns and correlations and hence provides actionable insights for improving the delivery of healthcare. There have been many contributions to the literature in this topic, but we lack a comprehensive view of the current state of research and application. This paper focuses on assessing the available literature in order to provide the researchers with evidence that enable fostering further development in this area. A systematic mapping study was conducted to identify and analyze research on big data analytics and artificial intelligence in healthcare, in which 2421 articles between 2013 and February 2019 were evaluated. The results of this study will help understand the needs in application of these technologies in healthcare by identifying the areas that require additional research. It will hence provide the researchers and industry experts with a base for future work.

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