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Journal of Vascular Surgery Jul 2020Abdominal aortic aneurysm (AAA) is a life-threatening disease, and the only curative treatment relies on open or endovascular repair. The decision to treat relies on the...
OBJECTIVE
Abdominal aortic aneurysm (AAA) is a life-threatening disease, and the only curative treatment relies on open or endovascular repair. The decision to treat relies on the evaluation of the risk of AAA growth and rupture, which can be difficult to assess in practice. Artificial intelligence (AI) has revealed new insights into the management of cardiovascular diseases, but its application in AAA has so far been poorly described. The aim of this review was to summarize the current knowledge on the potential applications of AI in patients with AAA.
METHODS
A comprehensive literature review was performed. The MEDLINE database was searched according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The search strategy used a combination of keywords and included studies using AI in patients with AAA published between May 2019 and January 2000. Two authors independently screened titles and abstracts and performed data extraction. The search of published literature identified 34 studies with distinct methodologies, aims, and study designs.
RESULTS
AI was used in patients with AAA to improve image segmentation and for quantitative analysis and characterization of AAA morphology, geometry, and fluid dynamics. AI allowed computation of large data sets to identify patterns that may be predictive of AAA growth and rupture. Several predictive and prognostic programs were also developed to assess patients' postoperative outcomes, including mortality and complications after endovascular aneurysm repair.
CONCLUSIONS
AI represents a useful tool in the interpretation and analysis of AAA imaging by enabling automatic quantitative measurements and morphologic characterization. It could be used to help surgeons in preoperative planning. AI-driven data management may lead to the development of computational programs for the prediction of AAA evolution and risk of rupture as well as postoperative outcomes. AI could also be used to better evaluate the indications and types of surgical treatment and to plan the postoperative follow-up. AI represents an attractive tool for decision-making and may facilitate development of personalized therapeutic approaches for patients with AAA.
Topics: Aortic Aneurysm, Abdominal; Artificial Intelligence; Clinical Decision-Making; Decision Support Systems, Clinical; Decision Support Techniques; Diagnosis, Computer-Assisted; Humans; Image Interpretation, Computer-Assisted; Patient Selection; Predictive Value of Tests; Risk Assessment; Risk Factors; Treatment Outcome
PubMed: 32093909
DOI: 10.1016/j.jvs.2019.12.026 -
Frontiers in Artificial Intelligence 2021Well-curated datasets are essential to evidence based decision making and to the integration of artificial intelligence with human reasoning across disciplines. However,...
Well-curated datasets are essential to evidence based decision making and to the integration of artificial intelligence with human reasoning across disciplines. However, many sources of data remain siloed, unstructured, and/or unavailable for complementary and secondary research. Sysrev was developed to address these issues. First, Sysrev was built to aid in systematic evidence reviews (SER), where digital documents are evaluated according to a well defined process, and where Sysrev provides an easy to access, publicly available and free platform for collaborating in SER projects. Secondly, Sysrev addresses the issue of unstructured, siloed, and inaccessible data in the context of generalized data extraction, where human and machine learning algorithms are combined to extract insights and evidence for better decision making across disciplines. Sysrev uses FAIR - Findability, Accessibility, Interoperability, and Reuse of digital assets - as primary principles in design. Sysrev was developed primarily because of an observed need to reduce redundancy, reduce inefficient use of human time and increase the impact of evidence based decision making. This publication is an introduction to Sysrev as a novel technology, with an overview of the features, motivations and use cases of the tool. Sysrev. com is a FAIR motivated web platform for data curation and SER. Sysrev allows users to create data curation projects called "sysrevs" wherein users upload documents, define review tasks, recruit reviewers, perform review tasks, and automate review tasks. Sysrev is a web application designed to facilitate data curation and SERs. Thousands of publicly accessible Sysrev projects have been created, accommodating research in a wide variety of disciplines. Described use cases include data curation, managed reviews, and SERs.
PubMed: 34423285
DOI: 10.3389/frai.2021.685298 -
Nursing Open Aug 2023To review the literature related to symptom management, clinical significance and related theoretical framework systems in adult patients with brain tumours. (Review)
Review
AIM
To review the literature related to symptom management, clinical significance and related theoretical framework systems in adult patients with brain tumours.
BACKGROUND
As understanding of symptoms or symptom clusters and underlying biologic mechanisms has grown, it is apparent that symptom science is moving forward. Although some progress has been made in the symptom science of solid tumours such as breast and lung neoplasms, insufficient attention has been paid to symptom management for patients suffering from brain tumours. Further research is needed to achieve effective symptom management for these patients.
DESIGN
A literature review with a systematic search of symptom management in adult brain tumours.
METHODS
Electronic data bases were searched to obtain relevant published literature on symptom management in adults with brain tumours. This was then analysed and a synthesis of relevant findings is presented.
FINDINGS
Four significant general themes relating to symptom management of brain tumours in adults were identified: (1) The potential theoretical foundation related to symptom management was revealed. (2) Widely accepted validated scales or questionnaires for the assessment of single symptoms or symptom clusters were recommended. (3) Several symptom clusters and the underlying biologic mechanisms have been reported. (4) Specific symptom interventions for adults with brain tumours were collected and classified as evidence-based or insufficient evidence.
CONCLUSION
There are still many challenges in the effective management of symptoms in adults with brain tumours. The guiding role of theoretical frameworks or models related to symptom management should be utilized in future research. Using the concept of symptom clustering for research into symptoms found in patients with brain tumours, exploring common biological mechanisms for specific symptom clusters and making full use of modern big data resources to build a strong evidence base for an effective intervention or management program may inform the management of symptoms among these patients leading to better results.
NO PATIENT OR PUBLIC CONTRIBUTION
This is a literature review.
IMPLICATIONS FOR SYMPTOM MANAGEMENT
The ultimate goal is obviously not only improving the survival rate of patients with brain tumours, but also enhancing their quality of life. Several important findings from our review include the theoretical foundations, validated assessment tools, the assessment of symptom clusters and the underlying biologic mechanism, and the identification of the evidence base for symptom interventions. These are of relevance for managers, researchers and practitioners and may function as a reference to help the effective symptom management for adults with brain tumours.
Topics: Adult; Humans; Biological Products; Brain Neoplasms; Lung Neoplasms; Quality of Life; Syndrome
PubMed: 37120840
DOI: 10.1002/nop2.1795 -
Journal of Oral & Maxillofacial Research 2023This systematic review searched three of the most used databases to assess if current evidence suggested a difference between surgical and non-surgical management of... (Review)
Review
OBJECTIVES
This systematic review searched three of the most used databases to assess if current evidence suggested a difference between surgical and non-surgical management of mandibular condyle fractures in paediatric patients.
MATERIAL AND METHODS
An electronic literature search was conducted of three well known databases - Ovid, PubMed and Web of Science. Studies included were conducted paediatric patients, in humans, written in English and published from January 1 1996 until April 1 2022. Data collection was carried out by two independent reviewers. Data collated from studies without high risk of bias was pooled for surgical vs non-surgical management and total tallies of all outcomes presented. Presence or absence of complications was recorded in 4 x 4 tables for each outcome and compared using a Chi-Square test.
RESULTS
After duplicate records were removed, 182 records were screened. After exclusion of unsuitable reports, 20 were included in the review. Further analysis showed the included studies had high risk of bias. Given this, comparison of this pooled data showed no significant difference between management methods.
CONCLUSIONS
Presently it appears conservative management is functionally adequate without risks associated with surgical management, even though incidence of these risks was shown to be low in the studies included in this review.
PubMed: 37521323
DOI: 10.5037/jomr.2023.14202 -
Journal of Medical Internet Research Aug 2023The prevalence of Parkinson disease (PD) is becoming an increasing concern owing to the aging population in the United Kingdom. Wearable devices have the potential to... (Review)
Review
BACKGROUND
The prevalence of Parkinson disease (PD) is becoming an increasing concern owing to the aging population in the United Kingdom. Wearable devices have the potential to improve the clinical care of patients with PD while reducing health care costs. Consequently, exploring the features of these wearable devices is important to identify the limitations and further areas of investigation of how wearable devices are currently used in clinical care in the United Kingdom.
OBJECTIVE
In this scoping review, we aimed to explore the features of wearable devices used for PD in hospitals in the United Kingdom.
METHODS
A scoping review of the current research was undertaken and reported according to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. The literature search was undertaken on June 6, 2022, and publications were obtained from MEDLINE or PubMed, Embase, and the Cochrane Library. Eligible publications were initially screened by their titles and abstracts. Publications that passed the initial screening underwent a full review. The study characteristics were extracted from the final publications, and the evidence was synthesized using a narrative approach. Any queries were reviewed by the first and second authors.
RESULTS
Of the 4543 publications identified, 39 (0.86%) publications underwent a full review, and 20 (0.44%) publications were included in the scoping review. Most studies (11/20, 55%) were conducted at the Newcastle upon Tyne Hospitals NHS Foundation Trust, with sample sizes ranging from 10 to 418. Most study participants were male individuals with a mean age ranging from 57.7 to 78.0 years. The AX3 was the most popular device brand used, and it was commercially manufactured by Axivity. Common wearable device types included body-worn sensors, inertial measurement units, and smartwatches that used accelerometers and gyroscopes to measure the clinical features of PD. Most wearable device primary measures involved the measured gait, bradykinesia, and dyskinesia. The most common wearable device placements were the lumbar region, head, and wrist. Furthermore, 65% (13/20) of the studies used artificial intelligence or machine learning to support PD data analysis.
CONCLUSIONS
This study demonstrated that wearable devices could help provide a more detailed analysis of PD symptoms during the assessment phase and personalize treatment. Using machine learning, wearable devices could differentiate PD from other neurodegenerative diseases. The identified evidence gaps include the lack of analysis of wearable device cybersecurity and data management. The lack of cost-effectiveness analysis and large-scale participation in studies resulted in uncertainty regarding the feasibility of the widespread use of wearable devices. The uncertainty around the identified research gaps was further exacerbated by the lack of medical regulation of wearable devices for PD, particularly in the United Kingdom where regulations were changing due to the political landscape.
Topics: Humans; Male; Aged; Middle Aged; Female; Parkinson Disease; Artificial Intelligence; Aging; Commerce; Hospitals
PubMed: 37594791
DOI: 10.2196/42950 -
Health SA = SA Gesondheid 2022Reaction to epilepsy management has been described as moulded by traditional beliefs, despite the reported progress of anti-epilepsy medication. In Africa, traditional...
BACKGROUND
Reaction to epilepsy management has been described as moulded by traditional beliefs, despite the reported progress of anti-epilepsy medication. In Africa, traditional healers are seen as essential in providing epilepsy care, yet little is known about their epilepsy care.
AIM
This manuscript aimed to systematically review and summarise the various indigenous traditional and Western methods of epilepsy management and their effectiveness in Africa.
SETTING
This study is conducted in Africa.
METHODS
A systematic review was performed, searching MEDLINE (through PubMed), Google Scholar and ScienceDirect data from 2000 to December 2021. The search strategies used terms and medical subject headings 'traditional methods' AND 'epilepsy' AND 'management' AND 'Africa'. The bibliography of the included articles was manually searched. Critical Appraisal Skills Programme and systematic reviews of randomised controlled trials tool were used to identify the validity of studies.
RESULTS
The search generated 17 927 articles. After screening for titles and abstracts, duplicate entries were removed and full texts of 22 articles were reviewed. After reading full texts, 12 articles met the inclusion criteria. The themes identified from synthesised data were indigenous traditional and Western methods of epilepsy management.
CONCLUSION
Traditional and faith-based healers were perceived to provide frontline care for people living with epilepsy resulting in considerable delays in seeking anti-epilepsy medication initiation. Furthermore, taking anti-epilepsy treatment was not adequately adhered to.
CONTRIBUTION
Findings would contribute to the body of essential information to create awareness and upskill the community that epilepsy is like any medical condition that needs medical care.
PubMed: 36483509
DOI: 10.4102/hsag.v27i0.1984 -
Pediatric Nephrology (Berlin, Germany) Nov 2023Children with non-refluxing primary megaureter are mostly managed by a watchful approach with close follow-up and serial imaging. (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Children with non-refluxing primary megaureter are mostly managed by a watchful approach with close follow-up and serial imaging.
OBJECTIVES
This systematic review and meta-analysis aimed to determine whether there is sufficient evidence to support the current non-surgical management strategy in these patients.
DATA SOURCES
A comprehensive search including electronic literature databases, clinical trial registries, and conference proceedings was performed.
DATA SYNTHESIS METHODS
Outcomes were estimated as pooled prevalence. If meta-analytical calculations were not appropriate, outcomes were provided in a descriptive manner.
RESULTS
Data from 8 studies (290 patients/354 renal units) were included. For the primary outcome, differential renal function estimated by functional imaging, meta-analysis was impossible due to reported data not being precise. Pooled prevalence for secondary surgery was 13% (95% confidence interval: 8-19%) and for resolution 61% (95% confidence interval: 42-78%). The risk of bias was moderate or high in most studies.
LIMITATIONS
This analysis was limited by the low number of eligible studies with few participants and high clinical heterogeneity, and the poor quality of the available data.
CONCLUSIONS
The low pooled prevalence of secondary surgical intervention and high pooled prevalence of resolution may support the current non-surgical management in children with non-refluxing primary megaureter. However, these results should be interpreted cautiously due to the limited available body of evidence. Future studies should overcome existing limitations of imaging methods by using standardized, comparable criteria and report outcome parameters in a quantitative manner. This would allow more sufficient data synthesis to provide evidence-based recommendations for clinical decision-making and counseling.
SYSTEMATIC REVIEW REGISTRATION
The protocol was registered on PROSPERO under CRD42019134502.
Topics: Humans; Child; Kidney Function Tests; Kidney
PubMed: 36995462
DOI: 10.1007/s00467-023-05938-6 -
Sensors (Basel, Switzerland) Aug 2023Smart wearable devices enable personalized at-home healthcare by unobtrusively collecting patient health data and facilitating the development of intelligent platforms... (Review)
Review
Smart wearable devices enable personalized at-home healthcare by unobtrusively collecting patient health data and facilitating the development of intelligent platforms to support patient care and management. The accurate analysis of data obtained from wearable devices is crucial for interpreting and contextualizing health data and facilitating the reliable diagnosis and management of critical and chronic diseases. The combination of edge computing and artificial intelligence has provided real-time, time-critical, and privacy-preserving data analysis solutions. However, based on the envisioned service, evaluating the additive value of edge intelligence to the overall architecture is essential before implementation. This article aims to comprehensively analyze the current state of the art on smart health infrastructures implementing wearable and AI technologies at the far edge to support patients with chronic heart failure (CHF). In particular, we highlight the contribution of edge intelligence in supporting the integration of wearable devices into IoT-aware technology infrastructures that provide services for patient diagnosis and management. We also offer an in-depth analysis of open challenges and provide potential solutions to facilitate the integration of wearable devices with edge AI solutions to provide innovative technological infrastructures and interactive services for patients and doctors.
Topics: Humans; Artificial Intelligence; Awareness; Chronic Disease; Heart Failure; Wearable Electronic Devices
PubMed: 37571678
DOI: 10.3390/s23156896 -
International Journal of Environmental... Apr 2022Suicide and self-harm clusters exist in various forms, including point, mass, and echo clusters. The early identification of clusters is important to mitigate contagion... (Review)
Review
Suicide and self-harm clusters exist in various forms, including point, mass, and echo clusters. The early identification of clusters is important to mitigate contagion and allocate timely interventions. A systematic review was conducted to synthesize existing evidence of quantitative analyses of suicide and self-harm clusters. Electronic databases including Medline, Embase, Web of Science, and Scopus were searched from date of inception to December 2020 for studies that statistically analyzed the presence of suicide or self-harm clusters. Extracted data were narratively synthesized due to heterogeneity among the statistical methods applied. Of 7268 identified studies, 79 were eligible for narrative synthesis. Most studies quantitatively verified the presence of suicide and self-harm clusters based on the scale of the data and type of cluster. A Poisson-based scan statistical model was found to be effective in accurately detecting point and echo clusters. Mass clusters are typically detected by a time-series regression model, although limitations exist. Recently, the statistical analysis of suicide and self-harm clusters has progressed due to advances in quantitative methods and geospatial analytical techniques, most notably spatial scanning software. The application of such techniques to real-time surveillance data could effectively detect emerging clusters and provide timely intervention.
Topics: Data Management; Humans; Research Design; Risk Assessment; Self-Injurious Behavior; Suicide
PubMed: 35564710
DOI: 10.3390/ijerph19095313 -
European Journal of Preventive... Jun 2017Evidence-based clinical guidelines provide standards for the provision of healthcare. However, these guidelines have been poorly implemented in daily practice. Clinical... (Review)
Review
Evidence-based clinical guidelines provide standards for the provision of healthcare. However, these guidelines have been poorly implemented in daily practice. Clinical audit is a quality improvement tool to promote quality of care in daily practice and to improve outcomes through the systematic review of care delivery and implementation of changes. A major priority in the management of subjects with cardiovascular disease (CVD) management is secondary prevention by controlling cardiovascular risk factors and providing appropriate medical treatment. Clinical audits can be applied to monitor modifiable risk factors and evaluate quality improvements of CVD management in daily practice. Existing clinical audits have provided an overview of the burden of risk factors in subjects with CVD and reflect real-world risk factor recording and management. However, consistent and representative data from clinic audits are still insufficient to fully monitor quality improvement of CVD management. Data are lacking in particular from low- and middle-income countries, limiting the evaluation of CVD management quality by clinical audit projects in many settings. To support the development of clinical standards, monitor daily practice performance, and improve quality of care in CVD management at national and international levels, more widespread clinical audits are warranted.
Topics: Cardiovascular Diseases; Disease Progression; Humans; Medical Audit; Process Assessment, Health Care; Program Evaluation; Quality Improvement; Quality Indicators, Health Care; Recurrence; Risk Factors; Secondary Prevention; Treatment Outcome
PubMed: 28618906
DOI: 10.1177/2047487317703829