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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 -
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 -
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 -
Nutrition Reviews Sep 2021Whether dietary restraint and dieting are risk factors associated with eating disorders has not been explored in the context of pediatric weight management.
CONTEXT
Whether dietary restraint and dieting are risk factors associated with eating disorders has not been explored in the context of pediatric weight management.
OBJECTIVE
To review associations between dietary pediatric weight management, dietary restraint, dieting, and eating disorder risk.
DATA SOURCES, SELECTION, AND EXTRACTION
Four databases - MEDLINE, EMBASE, Cochrane Library, and PsycINFO - were searched to May 2020 to identify pediatric weight management interventions with a dietary component for children and adolescents with overweight or obesity. The review was limited to studies reporting dietary restraint and/or dieting at preintervention, postintervention, and/or follow-up. Screening and quality assessment were conducted in duplicate, and data extraction was completed by 1 reviewer and cross-checked for accuracy. Data extracted included study characteristics, dietary restraint/dieting, and eating disorder-related outcomes (including disordered eating, body image, self-esteem, depression, and anxiety).
RESULTS
A total of 26 papers, representing 23 studies, were included. Of these, 20 studies reported on dietary restraint, which increased (10 postintervention, 6 follow-up) or remained unchanged (7 postintervention, 5 follow-up), and 5 studies reported on dieting, which increased (1 study), remained unchanged (2 studies) or decreased (2 studies) postintervention. All studies that reported on other eating disorder risk factors (eg, binge eating, body dissatisfaction, and depression) and weight-related outcomes found improvement or no change postintervention or at follow-up.
CONCLUSION
The results of this review suggest that current measures of dietary restraint and dieting are not associated with eating disorder risk within the context of pediatric weight management; however, long-term data is limited. In addition, those current measures may not be suitable risk markers. Concerns about dietary restraint and dieting leading to eating disorders should not prevent access to quality care for young people with obesity.
SYSTEMATIC REVIEW REGISTRATION
PROSPERO registration no. 2017 CRD42017069488.
Topics: Adolescent; Body Weight Maintenance; Caloric Restriction; Child; Diet; Feeding Behavior; Feeding and Eating Disorders; Humans; Obesity; Overweight; Risk Factors
PubMed: 33608718
DOI: 10.1093/nutrit/nuaa127 -
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 -
Clinical Rehabilitation Nov 2014To investigate the contributions of physiotherapy and occupational therapy to self-management interventions and the theoretical models used to support these... (Comparative Study)
Comparative Study Review
OBJECTIVE
To investigate the contributions of physiotherapy and occupational therapy to self-management interventions and the theoretical models used to support these interventions in chronic disease.
DATA SOURCES
We conducted two literature searches to identify studies that evaluated self-management interventions involving physiotherapists and occupational therapists in MEDLINE, the Cochrane Library, CINAHL, EMBASE, AMED (Allied and Complementary Medicine), SPORTdiscus, and REHABDATA databases.
STUDY SELECTION
Four investigator pairs screened article title and abstract, then full text with inclusion criteria. Selected articles (n = 57) included adults who received a chronic disease self-management intervention, developed or delivered by a physiotherapist and/or an occupational therapist compared with a control group.
DATA EXTRACTION
Four pairs of investigators performed independent reviews of each article and data extraction included: (a) participant characteristics, (b) the self-management intervention, (c) the comparison intervention, (d) outcome measures, construct measured and results.
DATA SYNTHESIS
A total of 47 articles reported the involvement of physiotherapy in self-management compared with 10 occupational therapy articles. The type of chronic condition produced different yields: arthritis n = 21 articles; chronic obstructive pulmonary disease and chronic pain n = 9 articles each. The theoretical frameworks most frequently cited were social cognitive theory and self-efficacy theory. Physical activity was the predominant focus of the self-management interventions. Physiotherapy programmes included disease-specific education, fatigue, posture, and pain management, while occupational therapists concentrated on joint protection, fatigue, and stress management.
CONCLUSIONS
Physiotherapists and occupational therapists make moderate contributions to self-management interventions. Most of these interventions are disease-specific and are most frequently based on the principles of behaviour change theories.
Topics: Adult; Aged; Chronic Disease; Evidence-Based Medicine; Female; Humans; Male; Middle Aged; Occupational Therapy; Pain Management; Pain Measurement; Patient Education as Topic; Physical Therapy Modalities; Prognosis; Self Care; Treatment Outcome
PubMed: 24784031
DOI: 10.1177/0269215514532478 -
The Cochrane Database of Systematic... Dec 2021Trial monitoring is an important component of good clinical practice to ensure the safety and rights of study participants, confidentiality of personal information, and... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Trial monitoring is an important component of good clinical practice to ensure the safety and rights of study participants, confidentiality of personal information, and quality of data. However, the effectiveness of various existing monitoring approaches is unclear. Information to guide the choice of monitoring methods in clinical intervention studies may help trialists, support units, and monitors to effectively adjust their approaches to current knowledge and evidence.
OBJECTIVES
To evaluate the advantages and disadvantages of different monitoring strategies (including risk-based strategies and others) for clinical intervention studies examined in prospective comparative studies of monitoring interventions.
SEARCH METHODS
We systematically searched CENTRAL, PubMed, and Embase via Ovid for relevant published literature up to March 2021. We searched the online 'Studies within A Trial' (SWAT) repository, grey literature, and trial registries for ongoing or unpublished studies.
SELECTION CRITERIA
We included randomized or non-randomized prospective, empirical evaluation studies of different monitoring strategies in one or more clinical intervention studies. We applied no restrictions for language or date of publication.
DATA COLLECTION AND ANALYSIS
We extracted data on the evaluated monitoring methods, countries involved, study population, study setting, randomization method, and numbers and proportions in each intervention group. Our primary outcome was critical and major monitoring findings in prospective intervention studies. Monitoring findings were classified according to different error domains (e.g. major eligibility violations) and the primary outcome measure was a composite of these domains. Secondary outcomes were individual error domains, participant recruitment and follow-up, and resource use. If we identified more than one study for a comparison and outcome definitions were similar across identified studies, we quantitatively summarized effects in a meta-analysis using a random-effects model. Otherwise, we qualitatively summarized the results of eligible studies stratified by different comparisons of monitoring strategies. We used the GRADE approach to assess the certainty of the evidence for different groups of comparisons.
MAIN RESULTS
We identified eight eligible studies, which we grouped into five comparisons. 1. Risk-based versus extensive on-site monitoring: based on two large studies, we found moderate certainty of evidence for the combined primary outcome of major or critical findings that risk-based monitoring is not inferior to extensive on-site monitoring. Although the risk ratio was close to 'no difference' (1.03 with a 95% confidence interval [CI] of 0.81 to 1.33, below 1.0 in favor of the risk-based strategy), the high imprecision in one study and the small number of eligible studies resulted in a wide CI of the summary estimate. Low certainty of evidence suggested that monitoring strategies with extensive on-site monitoring were associated with considerably higher resource use and costs (up to a factor of 3.4). Data on recruitment or retention of trial participants were not available. 2. Central monitoring with triggered on-site visits versus regular on-site visits: combining the results of two eligible studies yielded low certainty of evidence with a risk ratio of 1.83 (95% CI 0.51 to 6.55) in favor of triggered monitoring intervention. Data on recruitment, retention, and resource use were not available. 3. Central statistical monitoring and local monitoring performed by site staff with annual on-site visits versus central statistical monitoring and local monitoring only: based on one study, there was moderate certainty of evidence that a small number of major and critical findings were missed with the central monitoring approach without on-site visits: 3.8% of participants in the group without on-site visits and 6.4% in the group with on-site visits had a major or critical monitoring finding (odds ratio 1.7, 95% CI 1.1 to 2.7; P = 0.03). The absolute number of monitoring findings was very low, probably because defined major and critical findings were very study specific and central monitoring was present in both intervention groups. Very low certainty of evidence did not suggest a relevant effect on participant retention, and very low certainty evidence indicated an extra cost for on-site visits of USD 2,035,392. There were no data on recruitment. 4. Traditional 100% source data verification (SDV) versus targeted or remote SDV: the two studies assessing targeted and remote SDV reported findings only related to source documents. Compared to the final database obtained using the full SDV monitoring process, only a small proportion of remaining errors on overall data were identified using the targeted SDV process in the MONITORING study (absolute difference 1.47%, 95% CI 1.41% to 1.53%). Targeted SDV was effective in the verification of source documents, but increased the workload on data management. The other included study was a pilot study, which compared traditional on-site SDV versus remote SDV and found little difference in monitoring findings and the ability to locate data values despite marked differences in remote access in two clinical trial networks. There were no data on recruitment or retention. 5. Systematic on-site initiation visit versus on-site initiation visit upon request: very low certainty of evidence suggested no difference in retention and recruitment between the two approaches. There were no data on critical and major findings or on resource use.
AUTHORS' CONCLUSIONS
The evidence base is limited in terms of quantity and quality. Ideally, for each of the five identified comparisons, more prospective, comparative monitoring studies nested in clinical trials and measuring effects on all outcomes specified in this review are necessary to draw more reliable conclusions. However, the results suggesting risk-based, targeted, and mainly central monitoring as an efficient strategy are promising. The development of reliable triggers for on-site visits is ongoing; different triggers might be used in different settings. More evidence on risk indicators that identify sites with problems or the prognostic value of triggers is needed to further optimize central monitoring strategies. In particular, approaches with an initial assessment of trial-specific risks that need to be closely monitored centrally during trial conduct with triggered on-site visits should be evaluated in future research.
Topics: Humans; Pilot Projects; Prospective Studies
PubMed: 34878168
DOI: 10.1002/14651858.MR000051.pub2 -
International Journal of Environmental... Apr 2022Several studies have attempted to identify how people's risk perceptions differ in regard to containing COVID-19 infections. The aim of the present review was to... (Review)
Review
Several studies have attempted to identify how people's risk perceptions differ in regard to containing COVID-19 infections. The aim of the present review was to illustrate how risk awareness towards COVID-19 predicts people's preventive behaviors and to understand which features are associated with it. For the review, 77 articles found in six different databases (, , , , , and ) were considered, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was followed, and data synthesis was conducted using a mixed-methods approach. The results indicate that a high-risk perception towards COVID-19 predicts, in general, compliance with preventive behaviors and social distancing measures. Additionally, risk awareness was found to be associated with four other key themes: demographic factors, individual factors, geographical factors, and timing. Therefore, gaining a greater understanding of individual and cultural differences as well as how people behave could be the basis of an effective strategy for raising public risk awareness and for countering COVID-19.
Topics: COVID-19; Data Management; Humans; Perception
PubMed: 35457521
DOI: 10.3390/ijerph19084649