Data Extraction Phase Research Articles

Effect of telomere shortening on disease progression in patients with inflammatory bowel disease: A systematic review and meta-analysis protocol.

Inflammatory bowel disease (IBD) remains a major public health challenge worldwide. In recent years, it has been discovered that a link between telomere shortening and disease progression in IBD patients has been present. However, there is controversy as to whether telomere shortening precipitates disease progression or disease progression causes telomere shortening. There is also a shortage of systematic reviews and data synthesis to explain the association between telomere shortening and disease progression in individuals with IBD. We aimed to systematically review the association between telomere shortening and disease advancement in individuals with IBD to inform future studies. We will undertake a thorough search of the electronic database from the beginning until December 31, 2023. We will search the databases: MEDLINE/PubMed, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), VIP, Wanfang Database (Wanfang), CMB, Cochrane Library, Cochran Clinical Trials Registry, and the World Health Organization International Clinical Trials Registry Platform. Two reviewers will assess the discovered citations for eligibility based on the title and abstract before proceeding to the full-text and data extraction phases. These reviewers will debate and settle any conflicts that arise during the inclusion process; a third reviewer will settle any issues that remain. The validated data extraction form will be used to collect data for eligible research. The included studies will undergo a quality and bias check and will proceed meta-analysis. This systematic review and meta-analysis will reveal a positive correlation between illness progression and telomere shortening in individuals with IBD, perhaps demonstrating three causal links between them. This study will conduct the first systematic review and meta-analysis examining the correlation between telomere shortening and illness advancement in individuals with IBD. Exploring the connection between these two situations can enhance the comprehension of the development and advancement of IBD. PROSPERO registration number: CRD42024501171.

Extracting contextual insights from user reviews for recommender systems: a novel method

Extracting contextual insights from user reviews for recommender systems: a novel method

Facilitators and barriers to the implementation of the picture exchange communication system (PECS): a systematic review

Background and aimsAlthough there are several published systematic reviews and meta-analyses of the effectiveness of the Picture Exchange Communication System (PECS) protocol, no previous review has focused on factors affecting its implementation. The present review attempted to identify potential barriers and facilitators in implementing PECS, as well as examining authors’ and stakeholders’ views and experiences in terms of implementation.Methods and proceduresA total of 49 studies were identified through a systematic review search process and were included in the data extraction phase. A Content Analysis of previous researchers’ comments was also carried out.Outcome and resultsDuring the data extraction and synthesis phase, it became evident that important features of PECS interventions are not systematically reported in published literature. Thus, our primary research question remained partially unanswered. A Content Analysis of previous researchers’ comments revealed four potential implementation factors, including Contextual & Environmental Factors, PECS Training/Consultation, Supervision and Implementation Fidelity and Adherence to the Protocol.Conclusions and implicationsThe identification of potential barriers or facilitators affecting the implementation of PECS is not currently possible. The present review’s identified implementation factors were extracted from qualitative analysis of previous researchers’ anecdotal remarks or from the social validity measures. Implications in terms of previous PECS literature findings are discussed.Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42018099767.

Clinical practice guidelines for adolescent and young adult cancer: A literature review.

e13727 Background: Cancers among adolescents and young adults (AYA, aged 15-39) are rising in incidence, yet formal guidelines for diagnosis, treatment, and management of AYA-specific cancers are not widely known or disseminated. Practice patterns vary widely, contributing to a lack of improvement in outcomes for this underserved population. Clinicians and health systems have reported a need for additional guidance in care delivery for AYAs. Methods: We conducted a comprehensive literature review to identify clinical practice guidelines for cancer care delivery specific to AYAs published in PubMed or MEDLINE since 2010. MeSH and other key words were applied, using a search strategy guided by a health science librarian (EM). 795 papers were identified, with 690 excluded based on title and abstract review. 105 papers underwent full text review, and 64 papers underwent complete data extraction. Using Covidence software, two team members independently reviewed articles at the data extraction phase, with disagreements resolved through discussion. Results: We identified 22 papers that met our inclusion criteria as clinical practice guidelines specific to AYA cancer care. Clinical focus included breast cancer (4), sarcoma (4), brain tumors (2), gynecologic malignancies (2), acute lymphoblastic leukemia (1), colorectal cancer (1), NUT carcinoma (1), and proton therapy (1). Six papers covered general principles of caring for AYAs, regardless of cancer diagnosis. Key themes across guidelines included the importance of fertility preservation and psychosocial support, multidisciplinary care provided at specialized centers, and consideration of long-term toxicities of treatment. Conclusions: Clinical practice guidelines exist to inform clinicians and health systems on best practices for caring for AYAs with cancer, a growing and underserved population. Further dissemination of these guidelines may assist with improving outcomes. Comprehensive summary of these and other AYA specific guidelines is forthcoming and may serve as a useful clinical reference. [Table: see text]

Entry-To-Practice Competency Expectations for Health Justice in Physiotherapy Curricula: A Scoping Review

Purpose: Canadian physiotherapists are expected to demonstrate essential competencies upon entry-to-practice including health justice competencies. However, as an emerging topic among Canadian physiotherapy programs, physiotherapy curricula may lack explicit content to develop skills related to health justice. This scoping review examined existing entry-level physiotherapy competencies related to health justice in Canada and countries other than Canada, the existing entry-level competencies for physiotherapy related to health justice in countries other than Canada; and evaluated how entry-level competencies related to health justice in Canadian physiotherapy practice compared to those of other countries. Methods: Four databases (MEDLINE, Emcare, Embase, and CINHL) and the grey literature were searched. Results: Four thousand three hundred seventy-seven relevant abstracts and 71 grey literature sources were identified respectively. One hundred seven sources underwent full text review with 12 database articles and 13 grey literature sources selected for data extraction. None of the included articles specifically articulated one or more competencies for health justice; instead competencies in content areas relevant to health justice were identified. During the data extraction phase four themes were identified: (1) Lack of specificity, clarity, and consistency which was further separated into two subthemes (a) lack of consistency and clarity of definitions and concepts (b) lack of an assessment tool; (2) Author identification; (3) Curriculum development; (4) Experiential learning. Limitations include restricting the search to English language only, and grey literature limited to specific PDFs and websites. Conclusion: The data collected in this scoping review demonstrates gaps in the integration of health justice in Canadian and international entry-level physiotherapy curricula.

What is known about changes in pelvic floor muscle strength and tone in women during the childbirth pathway? A scoping review.

This scoping review aims to comprehensively explore the existing research on the changes in pelvic floor function that occur throughout the childbirth pathway (antenatal, intrapartum, and postnatal period). Furthermore, it seeks to identify new opportunities and directions for future research in this field. In particular, this review focuses on investigating pelvic floor muscle strength and tone in women during the childbirth pathway. The following databases were investigated from their inception: PubMed, OVID, Medline, ScienceDirect, The Cochrane Central Library, Scopus, Web of Science, PEDro, Scholar Google, Embase, and CINHAIL. Literature research was carried out from March to October 2022. Records identified through database searching were imported to Covidence. According to Arksey and O'Malley's five-stage scoping review framework, researchers screen titles and abstracts for eligibility and exclude records that do not meet the inclusion criteria. A total of 40 studies were included in the data extraction phase. These articles underwent a review, with a specific emphasis on examining the tone, strength, and distensibility of the pelvic floor throughout the childbirth pathway. Among the selected studies, 22 investigated pelvic floor strength, 7 the distensibility, and 3 articles the tone. This review identified both areas of agreement and disagreement across all three themes examined, with a particular emphasis on labor and the postpartum period. Notably, the review unveiled a significant scarcity of data concerning the tone of pelvic floor muscles throughout the childbirth pathway. Further studies to investigate the relationship between midwifery care and pelvic floor outcomes are required to improve clinical practice.

Time Series Classification with Multiple Wavelength Scattering Signals for Nuisance Alarm Mitigation

Smoke detectors are the most widely used fire detectors due to their high sensitivity. However, they have persistently faced issues with false alarms, known as nuisance alarms, as they cannot distinguish smoke particles, and their responsiveness varies depending on the particle size and concentration. Although technologies for distinguishing smoke particles have shown promising results, the hardware limitations of smoke detectors necessitate an intelligent approach to analyze scattering signals of various wavelengths and their temporal changes. In this paper, we propose a pipeline that can distinguish smoke particles based on scattering signals of various wavelengths as input. In the data extraction phase, we propose methods for extracting datasets from time series data. We propose a method that combines traditional approaches, early detection methods, and a Dynamic Time Warping technique that utilizes only the shape of the signal without preprocessing. In the learning model and classification phase, we present a method to select and compare various architectures and hyperparameters to create a model that achieves the best classification performance for time series data. We create datasets for six different targets in our presented sensor and smoke particle test environment and train classification models. Through performance comparisons, we identify architecture and parameter combinations that achieve up to 98.7% accuracy. Ablation studies under various conditions demonstrate the validity of the chosen architecture and the potential of other models.

Improved and Secure LSB2 of Message Steganography

Data steganography is widely used in message protection from being read, and mostly used methods based on LSB and LSB2 methods are not enough secure. In this research paper a modified LSB2 method will be introduced. This method will use a complex complicated key to enhance the data protection degree. The key will be used to rearrange the message stream of bits before data hiding and before data extraction. The key will be sensitive to any minor changes giving a corrupted unreadable message when any change was done in the data extraction phase o data steganography phases. It will be shown that the proposed method very efficient comparing with other methods base on LSB or LSB2 methods. The proposed method will add an improvements to the process of steganography by reducing both the hiding and extracting times. It will be shown that the proposed modified LSB2 method will be used to treat any message short or long using any color image, the size of the used covering image will not affect the method efficiency, so we can use bigger covering images to enhance the quality of the stego image by optimizing the value of MSE and PSNR. The proposed method will be implemented and various analysis will be introduced to prove the improvements achieved by the proposed method.

Using Twitter to collect a multi-dialectal corpus of Albanian using advanced geotagging and dialect modeling.

In this study, we present the acquisition and categorization of a geographically-informed, multi-dialectal Albanian National Corpus, derived from Twitter data. The primary dialects from three distinct regions-Albania, Kosovo, and North Macedonia-are considered. The assembled publicly available dataset encompasses anonymized user information, user-generated tweets, auxiliary tweet-related data, and annotations corresponding to dialect categories. Utilizing a highly automated scraping approach, we initially identified over 1,000 Twitter users with discernible locations who actively employ at least one of the targeted Albanian dialects. Subsequent data extraction phases yielded an augmentation of the preliminary dataset with an additional 1,500 Twitterers. The study also explores the application of advanced geotagging techniques to expedite corpus generation. Alongside experimentation with diverse classification methodologies, comprehensive feature engineering and feature selection investigations were conducted. A subjective assessment is conducted using human annotators, which demonstrates that humans achieve significantly lower accuracy rates in comparison to machine learning (ML) models. Our findings indicate that machine learning algorithms are proficient in accurately differentiating various Albanian dialects, even when analyzing individual tweets. A meticulous evaluation of the most salient attributes of top-performing algorithms provides insights into the decision-making mechanisms utilized by these models. Remarkably, our investigation revealed numerous dialectal patterns that, despite being familiar to human annotators, have not been widely acknowledged within the broader scientific community.

Conceptual modeling of Big Data extraction phase

As the amount of information exceeds the management and storage capacity of traditional data management systems, several domains need to take into account this growth of data, in particular the decision-making domain known as Business Intelligence (BI). Since the accumulation and reuse of these massive data stands for a gold mine for businesses, several insights that are useful and essential for effective decision making have to be provided. However, it is obvious that there are several problems and challenges for the BI systems, especially at the level of the ETL (Extraction-Transformation-Loading) as an integration system. These processes are responsible for the selection, filtering and restructuring of data sources in order to obtain relevant decisions. In this research paper, our central focus is especially upon the adaptation of the extraction phase inspired from the first step of MapReduce paradigm in order to prepare the massive data to the transformation phase. Subsequently, we provide a conceptual model of the extraction phase which is composed of a conversion operation that guarantees obtaining NoSQL structure suitable for Big Data storage, and a vertical partitioning operation for presenting the storage mode before submitting data to the second ETL phase. Finally, we implement through Talend for Big Data our new component which helps the designer extract data from semi-structured data.

Identifying facilitators and barriers to culturally responsive communication for racial, ethnic, sexual, and gender minoritized patients when screened for COVID-19 vaccinations: A scoping review protocol.

Racial, ethnic, sexual, and gender minoritized groups are considered historically excluded groups and have been disproportionately affected by the coronavirus disease 2019 (COVID-19) pandemic. The influence of social determinants of health (SDOH), including access to screening and treatment, and other systemic and structural factors are largely responsible for these disparities. Primary care practitioner (PCP) competence in culturally responsive screening practices will be critical to reducing the impact of systemic and structural factors serving as barriers to screening and treatment. Correspondingly, improving the capacity of PCPs to communicate with patients in a culturally responsive manner may influence improved screening and treatment outcomes for minoritized groups related to COVID-19. This scoping literature review aims to determine the current breadth of literature on culturally responsive communication (CRC) in regard to COVID-19 vaccination screening for historically excluded, or minoritized groups. Results from this review will inform the development of a training series and social marketing campaign to improve PCPs capacity in CRC. This manuscript provides details on our study protocol. This scoping literature review aims to analyze existing literature on culturally responsive COVID-19 vaccinations between PCPs and patients in the U.S., specifically for racial, ethnic, sexual, and gender minoritized groups. Results of this scoping review will inform the development of a training series and social marketing campaign to improve capacity of PCPs in this area. Additionally, the review will inform recommendations for future research. This scoping review will be performed following the framework of Arksey and O'Malley and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews (PRISMA-ScR). Relevant studies between the years 2019-2022 were identified using a rigorous search strategy across four databases: MEDLINE (via PubMed), Scopus, Cochrane (CENTRAL; via Wiley), and CINAHL (via EBSCO), using Boolean and Medical Subject Headings (MeSH) search terms. Studies will be uploaded to the data extraction tool, Covidence, to remove duplicates and perform a title/abstract screening, followed by a full-text screening. The data extraction and analysis phases of the scoping review are in progress. Data will be analyzed for themes related to culturally responsive COVID-19 screening practices in clinical encounters with the identified study populations. Results will be reported by theme and align to PRISMA-ScR guidelines. To our knowledge, this is the first study to use scoping methods to investigate the barriers and facilitators to CRC of COVID-19 vaccine screening for historically excluded communities in the U.S. The work and results from this research will be directly utilized for the development of nationally-accessible, continuing medical education materials to teach PCPs about CRC, as well as other materials to influence relevant policy changes within the healthcare landscape.

Tethered Unmanned Aerial Vehicles—A Systematic Review

In recent years, there has been a remarkable surge in the development and research of tethered aerial systems, thus reflecting a growing interest in their diverse applications. Long-term missions involving aerial vehicles present significant challenges due to the limitations of current battery solutions. Tethered vehicles can circumvent such restrictions by receiving their power from an element on the ground such as a ground station or a mobile terrestrial platform. Tethered Unmanned Aerial Vehicles (UAVs) can also be applied to load transportation achieved by a single or multiple UAVs. This paper presents a comprehensive systematic literature review, with a special focus on solutions published in the last five years (2017–2022). It emphasizes the key characteristics that are capable of grouping publications by application scope, propulsion method, energy transfer solution, perception sensors, and control techniques adopted. The search was performed in six different databases, thereby resulting in 1172 unique publications, from which 182 were considered for inclusion in the data extraction phase of this review. Among the various aircraft types, multirotors emerged as the most widely used category. We also identified significant variations in the application scope of tethered UAVs, thus leading to tailored approaches for each use case, such as the fixed-wing model being predominant in the wind generation application and the lighter-than-air aircraft in the meteorology field. Notably, the classical Proportional–Integral–Derivative (PID) control scheme emerged as the predominant control methodology across the surveyed publications. Regarding energy transfer techniques, most publications did not explicitly describe their approach. However, among those that did, high-voltage DC energy transfer emerged as the preferred solution. In summary, this systematic literature review provides valuable insights into the current state of tethered aerial systems, thereby showcasing their potential as a robust and sustainable alternative to address the challenges associated with long-duration aerial missions and load transportation.

Advice for improving the reproducibility of data extraction in meta-analysis.

Extracting data from studies is the norm in meta-analyses, enabling researchers to generate effect sizes when raw data are otherwise not available. While there has been a general push for increased reproducibility in meta-analysis, the transparency and reproducibility of the data extraction phase is still lagging behind. Unfortunately, there is little guidance of how to make this process more transparent and shareable. To address this, we provide several steps to help increase the reproducibility of data extraction in meta-analysis. We also provide suggestions of R software that can further help with reproducible data policies: the shinyDigitise and juicr packages. Adopting the guiding principles listed here and using the appropriate software will provide a more transparent form of data extraction in meta-analyses.

Allergic Rhinitis in Preschoolers: A Systematic Review of Diagnostics.

Most studies that seek to analyze the prevalence of allergic rhinitis do not include preschool children and the diagnosis in this age group is difficult. Identify complementary tests to the diagnosis of allergic rhinitis in preschool children and verify if there is scientific robustness to propose a diagnostic algorithm for this condition in this age group. Systematic review of the literature in four databases: SCIELO, PubMed/MEDLINE, LILACS and SCOPUS. Each article was initially chosen by title, abstract and by the keywords "allergic rhinitis," "diagnosis" and "preschool." Those articles selected entered the complete reading and data extraction phase. The study was registered in the International Prospective Register of Systematic Reviews under number CRD42020207053. Fourteen articles were suitable for analysis. In the assessment using Quality Assessment of Diagnostic Accuracy Studies - 2, all studies had at least one domain considered "high risk" or "undetermined risk." Seven reports of nasal cytology, seven of specific IgE, four of immediate hypersensitivity skin test, one of nasal nitric oxide, three of total IgE and one of urinary leukotriene E4 were found. Eight articles evaluated more than one diagnostic test. There are no defined criteria for the diagnosis of allergic rhinitis in preschool children. Nasal cytology, serum specific IgE and immediate hypersensitivity skin test were the most used tests. A reliable diagnostic criterion in this age group is necessary so that in the future it is possible to propose a diagnostic algorithm for allergic rhinitis in preschool children.

Big Data Bot with a Special Reference to Bioinformatics

There are quintillions of data on deoxyribonucleic acid (DNA) and protein in publicly accessible data banks, and that number is expanding at an exponential rate. Many scientific fields, such as bioinformatics and drug discovery, rely on such data; nevertheless, gathering and extracting data from these resources is a tough undertaking. This data should go through several processes, including mining, data processing, analysis, and classification. This study proposes software that extracts data from big data repositories automatically and with the particular ability to repeat data extraction phases as many times as needed without human intervention. This software simulates the extraction of data from web-based (point-and-click) resources or graphical user interfaces that cannot be accessed using command-line tools. The software was evaluated by creating a novel database of 34 parameters for 1360 physicochemical properties of antimicrobial peptides (AMP) sequences (46240 hits) from various MARVIN software panels, which can be later utilized to develop novel AMPs. Furthermore, for machine learning research, the program was validated by extracting 10,000 protein tertiary structures from the Protein Data Bank. As a result, data collection from the web will become faster and less expensive, with no need for manual data extraction. The software is critical as a first step to preparing large datasets for subsequent stages of analysis, such as those using machine and deep-learning applications.

The links between adipose tissue DNA methylation, obesity, and insulin resistance: A protocol for systematic review.

Obesity is a metabolic condition brought on by the interplay of hereditary and environmental factors, making it one of the most common diseases in the world. Insulin resistance (IR) and obesity have a close connection and can both be advantageous. One of the main methods of epigenetic regulation is DNA methylation modification. Studies have demonstrated over the past few years that DNA methylation is crucial to the emergence of obesity and DNA methylation can lead to IR. Adipose tissue participates in the physiopathological processes of obesity and IR and functions as an endocrine organ controlling the body's balanced metabolism, thus, adipose tissue-associated gene DNA methylation affects the development of obesity and IR by influencing the function of adipose tissue. Hence, an explanation of current research on DNA methylation, IR, and obesity, following the most recent developments, exploring changes in DNA methylation in different types of adipose tissue in insulin-resistant patients and obese patients may enable the identification of novel targets in clinical obesity prevention and treatment. The following electronic bibliographic databases will be searched from inception for peer-reviewed original research published: MEDLINE (through PubMed), Scopus, and EMBASE. Cochrane Library, Cochrane Clinical Trials Registry, the National Institutes for Health Clinical Trials Registry, and the WHO International Clinical Trials Registry Platform from inception to December 31, 2021 will be conducted. Systematic reviews will adhere to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines. The development of search strategies will make use of medical issue phrases and keywords associated with DNA methylation, Adipose tissue DNA methylation, obesity, and IR. Identified citations will be independently reviewed by two authors to determine eligibility at the title and abstract level, and then at the full text and data extraction phases. Disagreements and conflicts will be resolved through discussion with a third author. Two authors will extract the necessary data from the included studies independently, and The Cochrane Risk of Bias Assessment Tool will be used to assess the bias of randomized controlled studies, and the Newcastle-Ottawa scale for nonrandomized controlled studies. If the interventions and outcomes evaluated are sufficiently homogeneous, results from subgroups of studies will be pooled together in a meta-analysis.

A proposed methodology for uncertainty extraction and verification in priority setting partnerships with the James Lind Alliance: an example from the Common Conditions Affecting the Hand and Wrist Priority Setting Partnership

BackgroundTo report our recommended methodology for extracting and then confirming research uncertainties – areas where research has failed to answer a research question – derived from previously published literature during a broad scope Priority Setting Partnership (PSP) with the James Lind Alliance (JLA).MethodsThis process was completed in the UK as part of the PSP for “Common Conditions Affecting the Hand and Wrist”, comprising of health professionals, patients and carers and reports the data (uncertainty) extraction phase of this. The PSP followed the robust methodology dictated by the JLA and sought to identify knowledge gaps, termed “uncertainties” by the JLA. Published Cochrane Systematic Reviews, Guidelines and Protocols, NICE (National Institute for Health and Care Excellence) Guidelines, and SIGN (Scottish Intercollegiate Guidelines Network) Guidelines were screened for documented “uncertainties”. A robust method of screening, internally verifying and then checking uncertainties was adopted. This included independent screening and data extraction by multiple researchers and use of a PRISMA flowchart, alongside steering group consensus processes.Selection of research uncertainties was guided by the scope of the Common Conditions Affecting the Hand and Wrist PSP which focused on “common” hand conditions routinely treated by hand specialists, including hand surgeons and hand therapists limited to identifying questions concerning the results of intervention, and not the basic science or epidemiology behind disease.ResultsOf the 2358 records identified (after removal of duplicates) which entered the screening process, 186 records were presented to the PSP steering group for eligibility assessment; 79 were deemed within scope and included for the purpose of research uncertainty extraction (45 full Cochrane Reviews, 18 Cochrane Review protocols, 16 Guidelines). These yielded 89 research uncertainties, which were compared to the stakeholder survey, and added to the longlist where necessary; before derived uncertainties were checked against non-Cochrane published systematic reviews.ConclusionsIn carrying out this work, beyond reporting on output of the Common Conditions Affecting the Hand and Wrist PSP, we detail the methodology and processes we hope can inform and facilitate the work of future PSPs and other evidence reviews, especially those with a broader scope beyond a single disease or condition.

Collaborative Learning of New Information in Older Age: A Systematic Review

Introduction. Aging is accompanied by a multitude of changes in cognitive abilities such as processing speed and memory, which in turn affect learning. Learning collaboratively may benefit older adults by negating some of these age-related changes. Collaborative learning, especially in older age, has not been extensively studied but is experiencing a resurgence. However, studies in the literature differ in both their methodology and findings and a comprehensive overview of research conducted on collaborative learning does not exist. As such, this systematic review will focus on the current research on collaborative learning in older age, exploring under which circumstances collaborative learning can be more beneficial compared to learning individually, as well as identify gaps in current knowledge to address in future research. This systematic review is currently in progress. It was submitted as a registered report and has received Stage 1 acceptance at Royal Society Open Science on January 21st, 2022. We expect to complete the systematic review by January 24th, 2023.Method. We will conduct a literature search using the following databases: Web of Science, PubMed, Google Scholar, PsychInfo, Prospero, EBSCO and EthOS. We will also include works that cite, or are cited by, the articles found in the initial literature search, as well as email authors to enquire about unpublished work such as PhD theses or preprints. To be included in the systematic review, relevant works must examine collaborative learning, include a healthy older adult population of a mean age of 60 years or older, and must include new information (not existing or autobiographical information). The types of works included must be reviews, research articles, conference proceedings or abstracts, posters, PhD theses, preprints, and book chapters (to locate relevant works that are discussed in the chapter). Covidence will be used for the screening and data extraction phases of the review, with a second reviewer screening 10% of the works at both title and abstract screening and full-text review stages. All materials relating to this project, including the systematic review protocol, reviewer manual, extraction form and logbook, have been uploaded to the Open Science Framework, at https://osf.io/2kbxn/Conclusion. We will use a narrative synthesis for this systematic review, as methodology differs across studies. As such, we plan to discuss the relevant works in categories, based on study characteristics such as the type of relationship between participants, and will discuss the findings within those categories as well as the overall findings on collaborative learning in older age.

The psychological burden associated with Ehlers-Danlos syndromes: a systematic review.

Ehlers-Danlos syndromes (EDS) are disorders of connective tissue that lead to a wide range of clinical presentations. While we are beginning to understand the association between EDS and psychological manifestations, it is critical that we further elucidate the relationship between the two. Understanding the correlation between EDS and mental health will better ensure swift diagnosis and effective treatment for patients. This study aims to systematically examine and report the prevalence of psychiatric disorders in the EDS population. The PubMed database was searched on June 14, 2021 for articles published from January 2011 to June 2021. We included original, evidence-based, peer-reviewed journal articles in English that reported information on psychiatric disorders among EDS patients. Psychiatric disorders and psychological conditions were limited to those included in the "psychology" and "mental disorders" Medical Subject Headings (MeSH) search terms defined by the National Library of Medicine. Publications identified utilizing this search strategy by M.K. were imported into the Covidence system, where they first underwent a title and abstract screening process by three independent reviewers (M.K., K.L., H.G.). During the full-text review, two independent reviewers read the full text of the questionable articles to assess their eligibility for inclusion. Studies were excluded if they did not meet our target objective or if they were not in English or if they were opinion pieces, conference abstracts, or review articles. Data were extracted from the shortlisted studies by reviewers. During the data extraction phase, the quality and risk of publication bias were assessed by two independent reviewers utilizing the National Institutes of Health (NIH) Study Quality Assessment Tools. Any disagreements in study selection, data extraction, or quality assessment were adjudicated via discussion between the two reviewers, utilizing a third reviewer as a decider if necessary. Out of 73 articles identified, there were no duplicates. A total of 73 records were screened, but only 40 articles were assessed in full text for eligibility. A total of 23 articles were ultimately included, which collectively discussed 12,298 participants. Ten (43.5%) of the included studies were cross-sectional in design, three (13.0%) were case reports, and three (13.0%) were retrospective chart reviews. The remaining seven (30.4%) articles were either case-control, cohort, qualitative, controlled observational, or validation studies. Twelve (52.2%) of the studies reported data on depression disorders, six of which reported prevalence data. Nine (39.1%) of the studies reported data on anxiety disorders, five of which reported prevalence data. Studies that reported nonprevalence data presented odds-ratio, mean scores on psychiatric evaluations, and other correlation statistics. Psychiatric disorders that were most reported in these articles were mood disorders (n=11), anxiety disorders (n=9), and neurodevelopmental disorders (n=7). Although the reports varied, the highest psychiatric prevalence reports in EDS patients involved language disorders (63.2%), attention-deficit/hyperactivity disorder (ADHD) (52.4%), anxiety (51.2%), learning disabilities (42.4%), and depression (30.2%). Although mood disorders were cited in more articles, the highest reported prevalence was for language disorders and ADHD. This discrepancy highlights the importance of performing more research to better understand the relationship between EDS and psychiatric disorders.

Adalimumab-Adbm: The First Interchangeable Biosimilar for the Treatment of Inflammatory Diseases.

The objective of the study was to review the pharmacologic and clinical profile of adalimumab-adbm (BI 695501), the first interchangeable biosimilar for treatment of inflammatory diseases. A PubMed search was conducted from inception to December 2021 using the keywords BI 695501 and adalimumab-adbm. Information was also obtained from published abstracts and package inserts. Phase 1, 2 and 3 studies plus relevant literature on adalimumab-adbm pharmacologic and clinical profile were reviewed. Adalimumab-adbm approval was based on a series of phase 3 VOLTAIRE trials, which evaluated the biosimilar's efficacy and safety in the treatment of moderate to severe Crohn's disease, rheumatoid arthritis, and psoriasis. Interchangeability status was granted based on data from the VOLTAIRE-X trial. The VOLTAIRE and VOLTAIRE-X studies demonstrated comparable efficacy and safety between adalimumab-adbm and reference adalimumab. Common adverse events included infections and injection site reactions. Similar to reference adalimumab, adalimumab-adbm contains black box warnings related to serious infections and malignancy. Adalimumab-adbm is the first interchangeable biosimilar to be approved for inflammatory diseases and has the potential to improve patient access to treatment while decreasing medication-related costs. However, it will not be commercially available for patient use until 2023 and its adoption into clinical practice may face potential barriers seen with other biosimilars. As an interchangeable biosimilar with comparable efficacy and safety to reference adalimumab, adalimumab-adbm is an important advance toward cost-effective management of inflammatory diseases.