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Academic Emergency Medicine : Official... Aug 2022Shoulder dislocations are a common injury prompting presentation to the emergency department. Point-of-care ultrasound (POCUS) is a diagnostic tool for shoulder... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Shoulder dislocations are a common injury prompting presentation to the emergency department. Point-of-care ultrasound (POCUS) is a diagnostic tool for shoulder dislocations, which has the potential to reduce time to diagnosis and reduction, radiation exposure, and health care costs. This systematic review sought to evaluate the diagnostic accuracy of POCUS for diagnosing shoulder dislocations.
METHODS
We searched PubMed, Scopus, CINAHL, LILACS, the Cochrane databases, Google Scholar, and bibliographies of selected articles for all prospective and randomized controlled trials evaluating the diagnostic accuracy of POCUS for identifying shoulder dislocations. We dual-extracted data into a predefined worksheet and performed quality analysis using the QUADAS-2 tool. We performed a meta-analysis with subgroup analyses by technique and transducer type. As a secondary outcome, we assessed the diagnostic accuracy of identifying associated fractures.
RESULTS
Ten studies met our inclusion criteria, comprising 1,836 assessments with 636 dislocations (34.6%). Overall, POCUS was 100% (95% confidence interval [CI], 85.6%-100%) sensitive and 100% (95% CI, 79.4%-100%) specific for the diagnosis of shoulder dislocation with a LR+ of 11,254.8 (95% CI, 3.9-3.3e7) and a LR- of <0.1 (95% CI, < 0.1-0.2). When compared with the anterior/lateral technique, the posterior technique had greater sensitivity but no difference in specificity. There was no difference between transducer types. POCUS was also 96.8% (95% CI, 92.6%-98.7%) sensitive and 99.7% (95% CI, 92.5%-100%) specific for the diagnosis of associated fractures.
CONCLUSIONS
POCUS is a sensitive and specific tool for the rapid identification of shoulder dislocations and reductions, as well as for the detection of associated fractures. POCUS should be considered as an alternate diagnostic tool for the diagnosis and management of shoulder dislocations.
Topics: Emergency Service, Hospital; Fractures, Bone; Humans; Point-of-Care Testing; Prospective Studies; Shoulder Dislocation; Ultrasonography
PubMed: 35094451
DOI: 10.1111/acem.14454 -
International Journal of Environmental... May 2022Low Back Pain (LBP) is currently the first cause of disability in the world, with a significant socioeconomic burden. Diagnosis and treatment of LBP often involve a... (Review)
Review
Low Back Pain (LBP) is currently the first cause of disability in the world, with a significant socioeconomic burden. Diagnosis and treatment of LBP often involve a multidisciplinary, individualized approach consisting of several outcome measures and imaging data along with emerging technologies. The increased amount of data generated in this process has led to the development of methods related to artificial intelligence (AI), and to computer-aided diagnosis (CAD) in particular, which aim to assist and improve the diagnosis and treatment of LBP. In this manuscript, we have systematically reviewed the available literature on the use of CAD in the diagnosis and treatment of chronic LBP. A systematic research of PubMed, Scopus, and Web of Science electronic databases was performed. The search strategy was set as the combinations of the following keywords: “Artificial Intelligence”, “Machine Learning”, “Deep Learning”, “Neural Network”, “Computer Aided Diagnosis”, “Low Back Pain”, “Lumbar”, “Intervertebral Disc Degeneration”, “Spine Surgery”, etc. The search returned a total of 1536 articles. After duplication removal and evaluation of the abstracts, 1386 were excluded, whereas 93 papers were excluded after full-text examination, taking the number of eligible articles to 57. The main applications of CAD in LBP included classification and regression. Classification is used to identify or categorize a disease, whereas regression is used to produce a numerical output as a quantitative evaluation of some measure. The best performing systems were developed to diagnose degenerative changes of the spine from imaging data, with average accuracy rates >80%. However, notable outcomes were also reported for CAD tools executing different tasks including analysis of clinical, biomechanical, electrophysiological, and functional imaging data. Further studies are needed to better define the role of CAD in LBP care.
Topics: Artificial Intelligence; Computers; Diagnosis, Computer-Assisted; Humans; Intervertebral Disc Degeneration; Low Back Pain
PubMed: 35627508
DOI: 10.3390/ijerph19105971 -
Best Practice & Research. Clinical... Aug 2023Of all neonates, 21% are delivered by cesarean section (CS). A long-term maternal complication of an SC is a uterine niche. The aim of this review is to provide an... (Review)
Review
Of all neonates, 21% are delivered by cesarean section (CS). A long-term maternal complication of an SC is a uterine niche. The aim of this review is to provide an overview of the current literature on imaging techniques and niche-related symptomatology. We performed systematic searches on imaging and niche symptoms. For both searches, 87 new studies were included. Niche evaluation by transvaginal sonography (TVS) or contrast sonohysterography (SHG) proved superior over hysteroscopy or magnetic resonance imaging. Studies that used SHG in a random population identified a niche prevalence of 42%-84%. Niche prevalence differed based on niche definition, symptomatology, and imaging technique. Most studies reported an association with gynecological symptoms, poor reproductive outcomes, obstetrical complications, and reduced quality of life. In conclusion, non-invasive TVS and SHG are the superior imaging modalities to diagnose a niche. Niches are prevalent and strongly associated with gynecological symptoms and poor reproductive outcomes.
Topics: Infant, Newborn; Pregnancy; Female; Humans; Cesarean Section; Quality of Life; Uterus; Hysteroscopy; Ultrasonography; Cicatrix
PubMed: 37506497
DOI: 10.1016/j.bpobgyn.2023.102390 -
ESC Heart Failure Aug 2023The aim of the meta-analysis was to generate a more comprehensive understanding of the HFA-PEFF score in the diagnosis of heart failure with preserved ejection fraction... (Meta-Analysis)
Meta-Analysis Review
The aim of the meta-analysis was to generate a more comprehensive understanding of the HFA-PEFF score in the diagnosis of heart failure with preserved ejection fraction (HFpEF) and to pose clues in the field of scientific and clinical practice. Electronic databases of PubMed, Web of Science, Cochrane Library, and Embase were systematically searched. Studies investigating the use of the HFA-PEFF score to diagnose HFpEF were included. Pooled sensitivity, specificity, positive likelihood ratio (PLR) and negative Likelihood Ratio (NLR), diagnostic odds ratio (DOR), area under the curve of summary receiver operating characteristic, and superiority index were calculated. Five studies with 1521 participants were included in this meta-analysis. In the pooled analysis of the 'Rule-out' approach, the pooled sensitivity, specificity, PLR, NLR, and DOR were 0.98 (0.94, 1.00), 0.33 (0.08, 0.73), 1.5 (0.8, 2.5), 0.05 (0.02, 0.17), and 28 (6, 127). In the pooled analysis of the 'Rule-in' approach, the pooled sensitivity and specificity, PLR, NLR, and DOR were 0.69 (0.62, 0.75), 0.87 (0.64, 0.96), 5.5 (1.8, 16.9), 0.35 (0.30, 0.41), and 16 (5, 50). This meta-analysis indicates that the HFA-PEFF algorithm showed acceptable specificity and sensitivity for the diagnosis and exclusion of HFpEF. More relevant studies on the diagnostic validity of the HFA-PEFF score are needed in the future.
Topics: Humans; Heart Failure; Stroke Volume; Sensitivity and Specificity; ROC Curve; Algorithms
PubMed: 37292053
DOI: 10.1002/ehf2.14421 -
Medicina (Kaunas, Lithuania) May 2023The development of liver fibrosis as a consequence of continuous inflammation represents a turning point in the evolution of chronic liver diseases. The recent... (Review)
Review
The development of liver fibrosis as a consequence of continuous inflammation represents a turning point in the evolution of chronic liver diseases. The recent developments of artificial intelligence (AI) applications show a high potential for improving the accuracy of diagnosis, involving large sets of clinical data. For this reason, the aim of this systematic review is to provide a comprehensive overview of current AI applications and analyze the accuracy of these systems to perform an automated diagnosis of liver fibrosis. We searched PubMed, Cochrane Library, EMBASE, and WILEY databases using predefined keywords. Articles were screened for relevant publications about AI applications capable of diagnosing liver fibrosis. Exclusion criteria were animal studies, case reports, abstracts, letters to the editor, conference presentations, pediatric studies, studies written in languages other than English, and editorials. Our search identified a total of 24 articles analyzing the automated imagistic diagnosis of liver fibrosis, out of which six studies analyze liver ultrasound images, seven studies analyze computer tomography images, five studies analyze magnetic resonance images, and six studies analyze liver biopsies. The studies included in our systematic review showed that AI-assisted non-invasive techniques performed as accurately as human experts in detecting and staging liver fibrosis. Nevertheless, the findings of these studies need to be confirmed through clinical trials to be implemented into clinical practice. The current systematic review provides a comprehensive analysis of the performance of AI systems in diagnosing liver fibrosis. Automatic diagnosis, staging, and risk stratification for liver fibrosis is currently possible considering the accuracy of the AI systems, which can overcome the limitations of non-invasive diagnosis methods.
Topics: Animals; Humans; Child; Artificial Intelligence; Liver Cirrhosis; Biopsy; Databases, Factual; Inflammation
PubMed: 37241224
DOI: 10.3390/medicina59050992 -
Medicina (Kaunas, Lithuania) Oct 2022: The positive implications of using free light chains in diagnosing multiple sclerosis have increasingly gained considerable interest in medical research and the... (Meta-Analysis)
Meta-Analysis Review
: The positive implications of using free light chains in diagnosing multiple sclerosis have increasingly gained considerable interest in medical research and the scientific community. It is often presumed that free light chains, particularly kappa and lambda free light chains, are of practical use and are associated with a higher probability of obtaining positive results compared to oligoclonal bands. The primary purpose of the current paper was to conduct a systematic review to assess the up-to-date methods for diagnosing multiple sclerosis using kappa and lambda free light chains. : An organized literature search was performed across four electronic sources, including Google Scholar, Web of Science, Embase, and MEDLINE. The sources analyzed in this systematic review and meta-analysis comprise randomized clinical trials, prospective cohort studies, retrospective studies, controlled clinical trials, and systematic reviews. : The review contains 116 reports that includes 1204 participants. The final selection includes a vast array of preexisting literature concerning the study topic: 35 randomized clinical trials, 21 prospective cohort studies, 19 retrospective studies, 22 controlled clinical trials, and 13 systematic reviews. : The incorporated literature sources provided integral insights into the benefits of free light chain diagnostics for multiple sclerosis. It was also evident that the use of free light chains in the diagnosis of clinically isolated syndrome (CIS) and multiple sclerosis is relatively fast and inexpensive in comparison to other conventional state-of-the-art diagnostic methods, e.g., using oligoclonal bands (OCBs).
Topics: Humans; Oligoclonal Bands; Multiple Sclerosis; Retrospective Studies; Prospective Studies; Immunoglobulin kappa-Chains; Immunoglobulin lambda-Chains; Immunoglobulin Light Chains; Randomized Controlled Trials as Topic
PubMed: 36363469
DOI: 10.3390/medicina58111512 -
Journal of Alzheimer's Disease : JAD 2023Semantic and Phonological fluency (SF and PF) are routinely evaluated in patients with Alzheimer's disease (AD). There are disagreements in the literature regarding... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Semantic and Phonological fluency (SF and PF) are routinely evaluated in patients with Alzheimer's disease (AD). There are disagreements in the literature regarding which fluency task is more affected while developing AD. Most studies focus on SF assessment, given its connection with the temporoparietal amnesic system. PF is less reported, it is related to working memory, which is also impaired in probable and diagnosed AD. Differentiating between performance on these tasks might be informative in early AD diagnosis, providing an accurate linguistic profile.
OBJECTIVE
Compare SF and PF performance in healthy volunteers, volunteers with probable AD, and patients with AD diagnosis, considering the heterogeneity of age, gender, and educational level variables.
METHODS
A total of 8 studies were included for meta-analysis, reaching a sample size of 1,270 individuals (568 patients diagnosed with AD, 340 with probable AD diagnosis, and 362 healthy volunteers).
RESULTS
The three groups consistently performed better on SF than PF. When progressing to a diagnosis of AD, we observed a significant difference in SF and PF performance across our 3 groups of interest (p = 0.04). The age variable explained a proportion of this difference in task performance across the groups, and as age increases, both tasks equally worsen.
CONCLUSION
The performance of SF and PF might play a differential role in early AD diagnosis. These tasks rely on partially different neural bases of language processing. They are thus worth exploring independently in diagnosing normal aging and its transition to pathological stages, including probable and diagnosed AD.
Topics: Humans; Semantics; Alzheimer Disease; Verbal Behavior; Neuropsychological Tests; Linguistics
PubMed: 37482994
DOI: 10.3233/JAD-221272 -
The Cochrane Database of Systematic... Jun 2020Classical galactosaemia is an autosomal recessive inborn error of metabolism caused by a deficiency of the enzyme galactose-1-phosphate uridyltransferase. This is a rare...
BACKGROUND
Classical galactosaemia is an autosomal recessive inborn error of metabolism caused by a deficiency of the enzyme galactose-1-phosphate uridyltransferase. This is a rare and potentially lethal condition that classically presents in the first week of life once milk feeds have commenced. Affected babies may present with any or all of the following: cataracts; fulminant liver failure; prolonged jaundice; or Escherichia coli sepsis. Once the diagnosis is suspected, feeds containing galactose must be stopped immediately and replaced with a soya-based formula. The majority of babies will recover, however a number will not survive. There are long-term complications of galactosaemia, despite treatment, including learning disabilities and female infertility. It has been postulated that galactosaemia could be detected on newborn screening and this would prevent the immediate severe liver dysfunction and sepsis. This is an update of a previously published review.
OBJECTIVES
To assess whether there is evidence that newborn screening for galactosaemia prevents or reduces mortality and morbidity and improves clinical outcomes in affected neonates and the quality of life in older children.
SEARCH METHODS
We searched the Cochrane Cystic Fibrosis and Genetic Disorders Group Trials Register comprising references identified from electronic database searches, handsearches of relevant journals and conference abstract books. We also searched online trials registries and the reference lists of relevant articles and reviews. Date of the most recent search of Cochrane Cystic Fibrosis Group's Trials Register: 12 December 2019. Date of the most recent search of additional resources: 02 February 2020.
SELECTION CRITERIA
Randomised controlled studies and controlled clinical studies, published or unpublished comparing the use of any newborn screening test to diagnose infants with galactosaemia and presenting a comparison between a screened population versus a non-screened population.
DATA COLLECTION AND ANALYSIS
No studies of newborn screening for galactosaemia were found.
MAIN RESULTS
No studies were identified for inclusion in the review.
AUTHORS' CONCLUSIONS
We were unable to identify any eligible studies for inclusion in this review and hence it is not possible to draw any conclusions based on randomised controlled studies. However, we are aware of uncontrolled studies which support the efficacy of newborn screening for galactosaemia. There are a number of reviews and economic analyses of non-trial literature suggesting that screening is appropriate.
Topics: Galactosemias; Humans; Infant, Newborn; Neonatal Screening
PubMed: 32567677
DOI: 10.1002/14651858.CD012272.pub3 -
Frontiers in Molecular Biosciences 2020Magnetic resonance imaging (MRI), cerebrospinal fluid (CSF) analysis, and the McDonald's clinical criteria are currently utilized tools in diagnosing multiple sclerosis.... (Review)
Review
BACKGROUND
Magnetic resonance imaging (MRI), cerebrospinal fluid (CSF) analysis, and the McDonald's clinical criteria are currently utilized tools in diagnosing multiple sclerosis. However, a more conclusive, consistent, and efficient way of diagnosing multiple sclerosis (MS) is yet to be discovered. A potential biomarker, discovered using advances in high-throughput sequencing such as nuclear magnetic resonance (NMR) spectroscopy and other "Omics"-based techniques, may make diagnosis and prognosis more reliable resulting in a more personalized and targeted treatment regime and improved outcomes. The aim of this review was to systematically search the literature for potential biomarkers from any bodily fluid that could consistently and accurately diagnose MS and/or indicate disease progression.
METHODS
A systematic literature review of EMBASE, PubMed (MEDLINE), The Cochrane Library, and CINAHL databases produced over a thousand potential studies. Inclusion criteria stated studies with potential biomarker outcomes for people with MS were to be included in the review. Studies were limited to those with human participants who had a clinically defined diagnosis of MS and published in English, with no limit placed on date of publication or the type of bodily fluid sampled.
RESULTS
A total of 1,805 studies were recorded from the literature search. A total of 1,760 studies were removed based on their abstract, with a further 18 removed after considering the full text. A total of 30 studies were considered relevant and had their data retrieved and analyzed. Due to the heterogeneity of focus and results from the refined studies, a narrative synthesis was favored.
CONCLUSION
Several promising candidate biomarkers suitable for clinical application in MS have been studied. It is recommended follow-up studies with larger sample sizes be completed on several potential biomarkers.
PubMed: 33381517
DOI: 10.3389/fmolb.2020.574133 -
Cureus Jul 2020Lemierre's syndrome (LS), once known as "the forgotten disease," is a rare and potentially life-threatening condition that has had a gain in incidence over the last 30... (Review)
Review
Lemierre's syndrome (LS), once known as "the forgotten disease," is a rare and potentially life-threatening condition that has had a gain in incidence over the last 30 years due to a variety of factors that could include changes in antibody prescription patterns, particularly in regard to the treatment of pharyngitis/tonsillitis. Due to its low incidence and broad spectrum of symptoms, LS does not have an obvious clinical diagnosis and can confuse the clinician managing the patient. Furthermore, it is equally difficult to treat patients suffering from LS as it requires a multidisciplinary approach from multiple subspecialties. Thus, communication between hospitalists, radiologists, otolaryngologists, neurologists, and ophthalmologists is critical towards quickly diagnosing the disease condition so that prompt antibiotics, anticoagulation, and surgical intervention can occur. Atypical presentations can also exist, making the diagnosis and management exponentially more challenging. Ophthalmologic symptoms are a particularly rare and atypical presentation of LS. These rare symptoms in LS can be terrifying for patients and providers alike; yet, there does not seem to be any modern medical literature that summarizes ophthalmologic complications for LS patients. To our knowledge, this is the first systematic review of LS with a focus on ophthalmologic complications that has been done. The main objective of this review paper is to provide an up-to-date literature review of LS epidemiology, pathophysiology, diagnosis, and treatment while also performing a novel systematic review of reported cases of LS with ophthalmological complications. We hope to bring more awareness towards LS and its atypical presentations so that physicians will be better able to rapidly diagnose and treat their patients in order to minimize long-term morbidity and mortality.
PubMed: 32742884
DOI: 10.7759/cureus.9326