Preferred Reporting Items For Systematic Review And Meta-Analysis Protocols Research Articles

Cooperation in rural tourism routes: Evidence and insights

Cooperation serves as an effective strategy for fostering economic development in underdeveloped regions through tourism routes. The objective of this study is to identify the key components of cooperation process in rural tourism routes, drawing upon existing literature. A systematic review was conducted following the PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis) protocol. Two databases were utilized, resulting in the selection of 18 relevant studies. This study identifies the key components (factors, elements, and instruments) necessary for fostering cooperation in rural tourism routes. Additionally, it underscores their significance in generating synergies to benefit destinations, promote sustainable development, and enhance the experiences of tourists. The identified factors encompass tourist attractions (36%), tourist services (30%), public services (15%), basic infrastructure (6%), management (8%), brand image (2%), and price (2%). The pivotal elements for cooperation include stakeholder interaction, active community participation, support from the public sector, trust, shared goals, planning, structuring, financing, product development, mutual benefits, communication, learning, and self-assessment. Moreover, various instruments support cooperation, including agreements, projects, plans, partnerships, programs, inter-cooperation, associations, sub-projects, regulations, letters of intent, alliances, mission statements, bylaws, and barter. These instruments facilitate the formalization and enhancement of cooperative arrangements within rural tourism routes, ensuring long-term sustainability and promoting effective implementation. Furthermore, the study indicates the necessity of conducting further in-depth exploration into the essential elements for cooperation in rural tourism routes.

Implementation of Machine Learning Applications in Health Care Organizations: Protocol for a Systematic Review of Empirical Studies.

An increasing interest in machine learning (ML) has been observed among scholars and health care professionals. However, while ML-based applications have been shown to be effective and have the potential to change the delivery of patient care, their implementation in health care organizations is complex. There are several challenges that currently hamper the uptake of ML in daily practice, and there is currently limited knowledge on how these challenges have been addressed in empirical studies on implemented ML-based applications. The aim of this systematic literature review is twofold: (1) to map the ML-based applications implemented in health care organizations, with a focus on investigating the organizational dimensions that are relevant in the implementation process; and (2) to analyze the processes and strategies adopted to foster a successful uptake of ML. We developed this protocol following the PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols) guidelines. The search was conducted on 3 databases (PubMed, Scopus, and Web of Science), considering a 10-year time frame (2013-2023). The search strategy was built around 4 blocks of keywords (artificial intelligence, implementation, health care, and study type). Based on the detailed inclusion criteria defined, only empirical studies documenting the implementation of ML-based applications used by health care professionals in clinical settings will be considered. The study protocol was registered in PROSPERO (International Prospective Register of Systematic Reviews). The review is ongoing and is expected to be completed by September 2023. Data analysis is currently underway, and the first results are expected to be submitted for publication in November 2023. The study was funded by the European Union within the Multilayered Urban Sustainability Action (MUSA) project. ML-based applications involving clinical decision support and automation of clinical tasks present unique traits that add several layers of complexity compared with earlier health technologies. Our review aims at contributing to the existing literature by investigating the implementation of ML from an organizational perspective and by systematizing a conspicuous amount of information on factors influencing implementation. DERR1-10.2196/47971.

Prevalence of neck pain and its associated factors in Africa: a systematic review and meta-analysis protocol

IntroductionNeck pain is one of the most prevalent musculoskeletal pain conditions with multifactorial impact including pain, disability and reduced quality of life. To the best of our knowledge, no systematic...

Insights into the computer-aided drug design and discovery based on anthraquinone scaffold for cancer treatment: A protocol for systematic review.

There is still unmet medical need in cancer treatment mainly due to drug resistance and adverse drug events. Therefore, the search for better drugs is essential. Computer-aided drug design (CADD) and discovery tools are useful to streamline the lengthy and costly drug development process. Anthraquinones are a group of naturally occurring compounds with unique scaffold that exert various biological properties including anticancer activities. This protocol describes a systematic review that provide insights into the computer-aided drug design and discovery based on anthraquinone scaffold for cancer treatment. It was prepared in accordance with the "Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 guidelines, and published in the "International prospective register of systematic reviews" database (PROSPERO: CRD42023432904). Search strategies will be developed based on the combination of relevant keywords and executed in PubMed, Scopus, Web of Science and MedRxiv. Only original studies that employed CADD as primary tool in virtual screening for the purpose of designing or discovering anti-cancer drugs involving anthraquinone scaffold published in English language will be included. Two independent reviewers will be involved to screen and select the papers, extract the data and assess the risk of bias. Apart from exploring the trends and types of CADD methods used, the target proteins of these compounds in cancer treatment will also be revealed in this review. It is believed that the outcome of this study could be utilized to support the ongoing research in similar area with better quality and greater probability of success, consequently optimizing the resources in subsequent in vitro, in vivo, non-clinical and clinical development. It will also serve as an evidence based scientific guide for new research to design novel anthraquinone-derived drug with improved efficacy and safety profile for cancer treatment.

The Effect of Reiki on Pain Applied to Patients With Cancer: A Systematic Review.

Pain, the most common and major source of fear in patients with cancer, reduces the quality of life. This systematic review was conducted to determine the effect of Reiki on pain applied to patients with cancer. The creation of a systematic review protocol and the writing of the article were based on the PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols) criteria. The literature review was carried out in PubMed, Scopus, and Cochrane Library databases. Seven experimental and quasi-experimental studies met the inclusion criteria, and a total of 572 patients with cancer with sample sizes ranging from 18 to 180 were included. In-person Reiki was applied in 6 of the studies included in the systematic review, while in one of them, distance Reiki was applied. Although Reiki was found to reduce pain in 5 studies included in the review, it was determined that it was not effective on pain in 2 studies. A limited number of studies show that Reiki applied to patients with cancer has a positive effect on pain. It is recommended to conduct more randomized controlled trials with a high methodological quality that examine the effectiveness of Reiki application for patients with cancer.

Teaching strategies for library instruction: directions from the literature

This paper proposes teaching strategies and techniques for library instruction in academic libraries to achieve the intended goals. The recommendations are based on insights from previous research in library instruction with the intention to identify possible strategies and techniques for different user groups. This study applied a systematic literature review method, using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) protocol to examine the use of teaching strategies and techniques in library instruction programs. The Web of Science (WoS) and Scopus databases were searched for relevant literature using specific keywords. Applying the inclusion criteria, a total of 27 articles out of the 1380 documents extracted, were deemed relevant to the study. The results show that library instruction is usually conducted in the form of individual sessions. Teaching strategies used by librarians include flipped classroom, faux flip, classroom teaching, research clinic, consultation, asynchronous learning, and online synchronous learning, among others. These teaching strategies improved engagement and relationships between students and librarians, while impacting critical thinking, confidence and self-directed learning. It is concluded that librarians should consider adopting and combining teaching strategies based on individual needs and use technology to improve teaching effectiveness and increase student learning. This study shows that most studies on library instruction have only partially addressed instructional strategies. A critical review of the literature revealed that a strategic shift in the management of library instruction is necessary to achieve the intended outcomes. In this study, three teaching strategies for library education are proposed, namely Embracing for freshman, Encouraging for sophomore, and Leveraging for postgraduates.

Antibody Response against Severe Acute Respiratory Syndrome Coronavirus 2 Messenger Ribonucleic Acid Vaccines in Infected Individuals: A Systematic Review.

Individuals with a history of coronavirus disease 2019 (COVID-19) exhibit memory immunity acquired during natural infection. However, a decline in immunity after infection renders these individuals vulnerable to re-infection, in addition to a higher risk of infection with new variants. This systematic review examined related studies to elucidate the antibody response in these infected individuals after messenger ribonucleic acid (mRNA) vaccination. Hence, the focus of this review was to ascertain differences in the concentration of binding and neutralising antibodies of previously infected individuals in comparison to those of infection-naïve individuals after administration of two doses of mRNA vaccination through available case-control and cohort studies. Positive reverse transcriptase-polymerase chain reaction (RT-PCR) test or detectable anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies at the baseline in included studies showed categorisation of infected and uninfected individuals. This review utilised three online databases: PubMed, Scopus and Cochrane with the following keywords: (COVID-19 OR 'Coronavirus Disease 2019' OR SARS-CoV-2) AND Immun* AND (Pfizer OR BioNTech OR BNT162b2 OR Comirnaty OR Moderna OR mRNA-1273) from January 2019 to July 2021. Following the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocol (PRISMA-P) 2020 guidelines and assessment based on the Crowe Critical Appraisal Tool (CCAT), we included 13 related qualified papers of observational studies discerning the binding and neutralising antibody concentrations of infected and uninfected individuals after administration of mRNA vaccines, such as the BNT162b2 and mRNA-1273 vaccine. The mRNA vaccines induced robust binding and neutralising antibody responses in both groups. However, infected individuals showed induction of higher antibody responses in a shorter time compared to uninfected individuals. Hence, a single dose of mRNA vaccination for infected individuals may be sufficient to reach the same level of antibody concentration as that observed in uninfected individuals after receiving two doses of vaccination.

Prognostic Factors and Resectability Predictors in Insular Gliomas: A Systematic Review.

Insular gliomas (INGs) remain a surgically intimidating glioma subgroup encased by eloquent cortical parcels and white matter language tracts, and traversed by multiple middle cerebral artery branches. The predictive power of prognostic factors affecting overall survival (OS), progression-free survival (PFS), and resectability of INGs remain disputed. This comprehensive systematic review analyses prognostic factors and resectability predictors of INGs substantiating pragmatic management options. A systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) and the Cochrane Handbook of Systematic Reviews of Interventions guidelines. The PubMed, MEDLINE, and Embase databases were searched in April 2022. All clinical studies with ≥10 patients harboring INGs with any intervention and reporting predictors of OS, PFS, and tumor resectability in INGs were included. Molecular ING prognosticators were also included. Studies combining insular and other gliomas analysis, case studies, experimental and animal studies, conference abstracts, letters to the editor, and articles in other languages were excluded. Of the 2,384 articles returned, 27 fulfilled the inclusion criteria totaling 1,985 patients. The review yielded 18 OS and 17 PFS prognosticators. These were classified as preoperative (radiologic; clinical), intraoperative, and postoperative (molecular; histopathologic; clinical) prognosticators. In addition, 21 resectability predictors were categorized as preoperative (radiologic; clinical), intraoperative (surgical approach and assistive technology), and postoperative (histopathologic; clinical). The quality assessment revealed 24/27 studies had low risk of bias. One study with moderate and two studies with high risk of bias were included. Negative prognosticators reported in ≥2 studies included putaminal or paralimbic involvement and higher tumor grade, while seizures at presentation, isocitrate dehydrogenase (IDH) mutation, increased extent of resection, and higher Karnofsky Performance Status preoperatively and at 3 months postoperation were positive prognosticators. Resectability predictors reported in ≥2 studies included the positive predictors of zone I/zone IV tumor location and intraoperative imaging use and the negative predictor of encased lenticulostriate arteries. Paralimbic INGs are not a single entity with homogeneous prognosis. Integration of identified prognosticators in a prospective trial to devise a grading system for INGs can improve clinical decision-making.

The Concept and Application of Social Capital in Health, Education and Employment: A Scoping Review

The term social capital has been conceptualized and applied in different fields with different controversial connotations and impacts. Due to the variation in the conceptualization and operationalization of the subject, understanding the application of social capital in education, health, and employment remains incomplete. Thus, the purpose of this study is to provide a thorough review of the concept and application of social capital in health, education, and employment using the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) guidelines. Findings from the review reveal that the conceptualization of social capital is multidimensional in each context, with common underlining constructs such as social networks, connections, and a sense of community engagement in all three areas of health, education, and employment. Few reviews in the context of health and education extend social capital conceptualization to include trust, reciprocity, the interlinking of physical structure and social structure, and social cohesion. Furthermore, the conclusive consensus is that social capital leads to positive impacts on health outcomes, though negative outcomes may also be expected through behavioural contagion. The review found a bidirectional relationship between social capital and education. The findings for employment outcomes vary from country to country depending on the methodology used and the strength of social capital, with most studies finding a positive relationship with employment. Additionally, operationalizing social capital may benefit from both quantitative and qualitative methods, therefore, further studies using qualitative approaches to social capital may be especially helpful to understand what social capital means to people. It is also worth noting that the application of social capital is mainly within the context of developed countries; hence, further studies in the context of developing countries on the different types and impacts of social capital are recommended.

Antiemetic prophylaxis in hematologic malignancies patients receiving conditioning protocols for hematopoietic stem cell transplantation: A study protocol for a systematic review

ObjectiveChemotherapy-induced nausea and vomiting continue to pose a significant challenge for patients undergoing hematopoietic stem cell transplantation. This study aims to synthesize available evidence on antiemetic prophylaxis regimens in patients with hematologic malignancies undergoing hematopoietic stem cell transplantation, in order to identify the best standard of care. MethodsA systematic review will be conducted using MEDLINE via PubMed, EMBASE, Clinical-Trials.gov., and Cochrane databases. Studies written in English, French, Italian, or Spanish will be considered. After screening the literature according to the inclusion and exclusion criteria, 2 independent reviewers will extract data and assess the risk of bias in eligible articles. This protocol has been prepared according to the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) guidelines. This protocol is registered in the Prospective Register of Ongoing Systematic Reviews (PROSPERO) CRD42023406380. DiscussionChemotherapy-induced nausea and vomiting is a debilitating side effect that presents a significant challenge for patients with hematologic malignancies. Despite the publication of various guidelines, none of them include specific recommendations for each chemotherapy regimen. Therefore, analyzing the primary antiemetic prophylaxis regimens in patients with hematologic malignancies undergoing hematopoietic stem cell transplantation would be valuable in enhancing patients' quality of life.

The Mutation Portraits of Oncogenes and Tumor Supressor Genes in Predicting the Overall Survival in Pancreatic Cancer: A Bayesian Network Meta-Analysis.

In pancreatic cancer, the carcinogenesis can not be separated from genetics mutations. The portraits of genes alterations majorily including oncogenes (KRAS, HER2, PD-L1) and tumor supressor genes (P53, CDKN2A, SMAD4). Besides being notorious a screening marker, the genetic mutations were related to the prognosis of pancreatic cancer. The aim of this study is to determine the genetic mutations portrait in predicting the overall survival in pancreatic cancer. The network meta analysis (NMA) was registered in PROSPERO (CRD42023397976) and conducted in accordance with the PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols) in addition of NMA extension guidance. Comprehensive searches were done including all studies which reported the overall survival of pancreatic cancer subjects with KRAS, HER2, PD-L1, P53, CDKN2A, SMAD4. Data were collected and analysis will be done based on Bayesian method, Markov Chain Monte Carlo algorithm, using BUGSnet package in R studio. Transivity was controlled by methods and consistency of the NMA will be fitted by deviance information criterion. Data analysis in NMA were presented in Sucra plot, league table, and forest plot. Twenty-four studies were included in this NMA with 4613 total subjects. The NMA was conducted in random-effects, consistent, and convergence model. Relative to control, the genetic mutation of SMAD4 (HR 1.84; 95%CI 1.39-2.46), HER2 (HR 1.76; 95%CI 1.14-2.71), and KRAS (HR 1.7; 95%CI 1.19-2.48) were significant to have worse survival. The mutations of PD-L1, P53, and CDKN2A also showed poor survival, but not statistically significant compared to control. In pancreatic cancer, the mutation of SMAD4 predicted the worst overall survival, compared to control, also mutation of HER2, KRAS, PD-L1, P53, and CDKN2A.

The role of L1CAM as predictor of poor prognosis in stage I endometrial cancer: a systematic review and meta-analysis.

Molecular and genomic profiling in endometrial cancer is increasing popularity. L1 cell adhesion molecule (L1CAM) is frequently mutated in endometrial cancer. In this paper, we aim to evaluate the prognostic role of L1CAM in patients with stage I endometrial cancer. We performed a systematic review and meta-analysis searching in PubMed (MEDLINE), EMBASE, and Web of Science database to identify studies reporting the expression of L1CAM in endometrial cancer. The primary endpoint measure was to assess and evaluate the impact of L1CAM on survival outcomes. This study was performed according to the Preferred Reporting Items for Systematic review and Meta-Analysis Protocols (PRISMA-P) statement. Five studies were included. The pooled results suggested that L1CAM expression influences survival outcomes in stage I endometrial cancer. High L1CAM expression correlated with worse disease-free survival (HR 4.11, 95% CI 1.02-16.59, p = 0.047) and overall survival (HR 3.62, 95% CI 1.32-9.31, p = 0.012). High L1CAM level was also associated with a more aggressive FIGO grade and with older age. This systematic review supported that L1CAM have a prognostic role in stage I endometrial cancer, thus providing a potential useful tool for tailoring the need of adjuvant therapy.

Tool Wear Monitoring with Artificial Intelligence Methods: A Review

Tool wear is one of the main issues encountered in the manufacturing industry during machining operations. In traditional machining for chip removal, it is necessary to know the wear of the tool since the modification of the geometric characteristics of the cutting edge makes it unable to guarantee the quality required during machining. Knowing and measuring the wear of tools is possible through artificial intelligence (AI), a branch of information technology that, by interpreting the behaviour of the tool, predicts its wear through intelligent systems. AI systems include techniques such as machine learning, deep learning and neural networks, which allow for the study, construction and implementation of algorithms in order to understand, improve and optimize the wear process. The aim of this research work is to provide an overview of the recent years of development of tool wear monitoring through artificial intelligence in the general and essential requirements of offline and online methods. The last few years mainly refer to the last ten years, but with a few exceptions, for a better explanation of the topics covered. Therefore, the review identifies, in addition to the methods, the industrial sector to which the scientific article refers, the type of processing, the material processed, the tool used and the type of wear calculated. Publications are described in accordance with PRISMA-P (Preferred Reporting Items for Systematic review and Meta-Analysis Protocols).

The eradication of hate speech on social media: a systematic review

PurposeThe purpose of this paper is to present a quantitative and qualitative synthesis of the diverse academic proposals and initiatives for preventing and eliminating hate speech on the internet.Design/methodology/approachThe foundation for this study is a systematic review of papers devoted to the analysis of hate speech. It has been conducted using the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) protocol and applied to an initial corpus of 436 academic texts. Having implemented the suitability, screening and inclusion criteria, this corpus was refined to a sample of 74 articles.FindingsThe main subject categories studied in this corpus of academic research are legal issues and social media. In the majority of the articles, the use of hate speech via social media is associated with five typologies: religion, cyber racism, political slurs, misogyny and attacks on the LGTBI community. The absence of ethical reflection is one of the major shortcomings of IT-focused research and analysis devoted to online hate speech.Practical implicationsTo date various systematic reviews have been presented, and they focus on detecting or describing hate speech. These have used either the search appraisal synthesis analysis framework or the Cochrane network. The PRISMA protocol was applied for this study, and both Scopus and texts in German were included. To date no major, rigorous systematic review has been undertaken of proposals to combat hate speech.Originality/valueThe link between hate speech and poverty has not been studied in depth within the academic sphere. Tolerance and ethical compassion are not granted the attention they merit when it comes to analysing the phenomenon of hate speech.

Impact of overweight and obesity on disease activity and remission in systemic lupus erythematosus: A systematic review and meta-analysis protocol.

Systemic lupus erythematosus (SLE) is an autoimmune and inflammatory disease that requires treatment with hydroxychloroquine and glucocorticoids. Glucocorticoids are responsible for adverse effects such as increased weight, which can modify the severity and chronicity of autoimmune pathologies. To summarize scientific evidence regarding the impact of overweight and obesity on disease activity and remission in SLE. The protocol was developed according to the Preferred Reporting Items for Systematic Review and Meta-analysis Protocol (PRISMA-P) and published in the International Prospective Register of Systematic Reviews database (PROSPERO-CRD42021268217). PubMed, Scopus, Embase, and Google Scholar will be searched for observational studies including adult patients with SLE who were overweight and obese or not, that included disease activity or remission as outcomes. The search is planned for May 2023. Three independent authors will select the eligible articles and extract their data. Subsequently, three authors will independently extract data from each included study using an extraction form created by the researchers. Methodological quality analyses will be performed using the modified Newcastle-Ottawa scale. The results will be presented as a narrative synthesis according to the synthesis without a meta-analysis reporting guideline (SWiM). Meta-analysis will be conducted where appropriate using random-effects models. This review will identify the impact of overweight and obesity on the clinical features of SLE, helping clinicians manage disease activity and remission, both important to optimize disease outcomes and patient quality of life.

Self-management training in patients with chronic kidney disease undergoing hemodialysis: A systematic review.

The aim of this systematic review is to investigate the effectiveness of different self-management training programs applied to dialysis patients. During the literature review, the flow chart of preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) was utilized. The review was limited by the year. All studies in English were screened in the databases "Ulakbim National Database, Google Scholar, Scopus, PubMed, Science Direct, Web of Science, Medline, EBSCOhost, and Cochrane Library." Eleven studies, including nine randomized controlled and two quasi-experimental, were included in the review.

The Role of Oxytocin in Romantic Partnerships: A Systematic Review

A variety of theories explain how oxytocin affects interpersonal relationships (e.g., tend and befriend, social salience, calm and connection). While each of these theories has strong support, no one theory seems to encapsulate the role of oxytocin in romantic partnerships. This systematic review sought to aggregate findings from dyadic research to gain a greater understanding of oxytocin and romantic relationships. This systematic review was conducted consistent with the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P). Using three academic databases, we compiled all the research published in peer-reviewed journals with both romantic partners and measuring both endogenous and exogenous oxytocin as well as gene polymorphorisms related to oxytocin. The literature search yielded 27 articles that included statistical modeling testing interdependence between couples. Using a team-based approach to thematic synthesis, five analytic themes emerged including oxytocin synchrony, physical predictors, genetic influences, relationship dynamics, and factors external to the romantic relationship. Our research highlights oxytocin levels may be linked between romantic partners and inter-partner behaviors and relationship dynamics predict oxytocin levels. The amalgam of findings suggests when oxytocin is released and how genetics influence behaviors in romantic partnerships may be the result of a more complicated process than many theories are able to explain. Research has consistently supported co-regulation (i.e., physical, emotional) between romantic partners and oxytocin fitting under this hypothesis should be considered. As physiological interdependence suggests an adaptive, evolving, time-dependent process may help explain the role of oxytocin and romantic partnerships during homeostatic states.

Adverse Childhood Experiences and Opioid Use Disorder: A Systematic Review

Over the past several decades, opioid use has consistently increased. Thought to be related to poor prescribing and drug availability, since the onset of the pandemic, there has been a dramatic shift in opioid overdoses. While pandemic stress may explain some of the rapid rise in drug misuse, research suggests other variables (i.e., trauma) may make individuals particularly vulnerable to opioid use and abuse. This systematic review sought to examine the relationship between adverse childhood experiences (ACEs) and opioid use disorder (OUD). Following guidelines established by the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P), we conducted this systematic review using the Pubmed academic database. Searching research beginning in 2000-current, we found 48 articles that met our inclusion criteria. We used a team-based approach to conduct a thematic synthesis of the data. Four central analytical themes emerged including the nature of childhood relationship patterns, type of ACE, ACEs and OUD moderators, and biomarkers as predictors of OUDs. Several findings from this review may help to explain the relationship between ACEs and OUD. OUD is partially predicted by ACEs severity and frequency, type of ACE (i.e., abuse, neglect, parental substance use), psychiatric comorbidities, neurotransmitter level, and genetics. Resiliency may be key to OUD prevention. Both ACEs and OUD make lasting alterations in brain structure and biochemical pathways. Future research should focus on treatments to disrupt biochemical pathways that solidify craving. Clinicians may help by using risk-based assessments, promoting resiliency, and including families in treatment.

Changes in occlusion after orthognathic surgery: a systematic review and meta-analysis.

This study aims to systematically review and identify the changes of occlusion in patients after orthognathic surgery. The protocol was developed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA-P) and was registered to the International Prospective Register of Systematic Reviews (PROSPERO) under the registration number CRD42021253129. Studies included were Original articles only, Additionally, studies were included if the outcome of occlusal force was measured pre- and postoperatively and if occlusal forces resulted from a long follow-up of a minimum of 1year following orthognathic surgery using adequate measurement tools. Non-English articles, case reports, case series, and non-original articles, including systematic reviews and literature reviews, were excluded. The search strategy yielded a total of 978 articles. Of the 978 articles, 285 were duplicates. After reading the titles and abstracts, 649 articles were excluded, and full-text articles of the remaining 47 studies were reviewed independently by two authors for eligibility wherein 33 articles were excluded, because they did not meet the inclusion criteria. Finally, a total of 14 studies were processed for critical review. The occlusal force increased after orthognathic surgery, although not to the level of the control group; however, the maximal bite force remained unchanged. Immediately after orthognathic surgery, chewing and swallowing forces increased. Significant reductions in the postoperative occlusal contact pressure areas was also observed.

Artificial Intelligence Applications for Assessment, Monitoring, and Management of Parkinson Disease Symptoms: Protocol for a Systematic Review.

Parkinson disease (PD) is the second most prevalent neurodegenerative disease, with around 10 million people with PD worldwide. Current assessments of PD symptoms are conducted by questionnaires and clinician assessments and have many limitations, including unreliable reporting of symptoms, little autonomy for patients over their disease management, and standard clinical review intervals regardless of disease status or clinical need. To address these limitations, digital technologies including wearable sensors, smartphone apps, and artificial intelligence (AI) methods have been implemented for this population. Many reviews have explored the use of AI in the diagnosis of PD and management of specific symptoms; however, there is limited research on the application of AI to the monitoring and management of the range of PD symptoms. A comprehensive review of the application of AI methods is necessary to address the gap of high-quality reviews and highlight the developments of the use of AI within PD care. The purpose of this protocol is to guide a systematic review to identify and summarize the current applications of AI applied to the assessment, monitoring, and management of PD symptoms. This review protocol was structured using the PRISMA-P (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols) and the Population, Intervention, Comparator, Outcome, and Study (PICOS) frameworks. The following 5 databases will be systematically searched: PubMed, IEEE Xplore, Institute for Scientific Information's Web of Science, Scopus, and the Cochrane Library. Title and abstract screening, full-text review, and data extraction will be conducted by 2 independent reviewers. Data will be extracted into a predetermined form, and any disagreements in screening or extraction will be discussed. Risk of bias will be assessed using the Cochrane Collaboration Risk of Bias 2 tool for randomized trials and the Mixed Methods Appraisal Tool for nonrandomized trials. As of April 2023, this systematic review has not yet been started. It is expected to begin in May 2023, with the aim to complete by September 2023. The systematic review subsequently conducted as a product of this protocol will provide an overview of the AI methods being used for the assessment, monitoring, and management of PD symptoms. This will identify areas for further research in which AI methods can be applied to the assessment or management of PD symptoms and could support the future implementation of AI-based tools for the effective management of PD. PRR1-10.2196/46581.