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Briefings in Bioinformatics Sep 2021Individual variations in drug efficacy, side effects and adverse drug reactions are still challenging that cannot be ignored in drug research and development. The aim of...
Individual variations in drug efficacy, side effects and adverse drug reactions are still challenging that cannot be ignored in drug research and development. The aim of pharmacometabonomics is to better understand the pharmacokinetic properties of drugs and monitor the drug effects on specific metabolic pathways. Here, we systematically reviewed the recent technological advances in pharmacometabonomics for better understanding the pathophysiological mechanisms of diseases as well as the metabolic effects of drugs on bodies. First, the advantages and disadvantages of all mainstream analytical techniques were compared. Second, many data processing strategies including filtering, missing value imputation, quality control-based correction, transformation, normalization together with the methods implemented in each step were discussed. Third, various feature selection and feature extraction algorithms commonly applied in pharmacometabonomics were described. Finally, the databases that facilitate current pharmacometabonomics were collected and discussed. All in all, this review provided guidance for researchers engaged in pharmacometabonomics and metabolomics, and it would promote the wide application of metabolomics in drug research and personalized medicine.
Topics: Chromatography, Liquid; Databases, Factual; Gas Chromatography-Mass Spectrometry; Humans; Mass Spectrometry; Metabolome; Metabolomics; Pharmaceutical Preparations; Pharmacokinetics; Precision Medicine
PubMed: 33866355
DOI: 10.1093/bib/bbab138 -
Journal of the International... Feb 2020Dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD) have substantial clinical and biological overlap, with cognitive deficits typically observed in...
OBJECTIVES
Dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD) have substantial clinical and biological overlap, with cognitive deficits typically observed in the executive and visuospatial domains. However, the neuropsychological profiles of mild cognitive impairment (MCI) associated with these disorders are not well understood.
METHODS
This systematic review examined existing literature on cognition in MCI due to LB disease (MCI-LB) and PD (PD-MCI) using an electronic search of seven databases (Medline, Embase, Psychinfo, PubMed, ProQuest, Scopus, and ScienceDirect). MCI-LB results were reviewed narratively given the small number of resulting papers (n = 7). Outcome variables from PD-MCI studies (n = 13) were extracted for meta-analysis of standardised mean differences (SMD).
RESULTS
In MCI-LB, executive dysfunction and slowed processing speed were the most prominent impairments, while visuospatial and working memory (WM) functions were also poor. MCI-LB scored significantly lower on verbal memory tests relative to controls, but significantly higher than patients with MCI due to Alzheimer's disease. Quantitative analysis of studies in PD-MCI showed a similar profile of impairment, with the largest deficits in visuospatial function (Benton Judgement of Line Orientation, SMD g = -2.09), executive function (Trail Making Test B, SMD g = -1.65), verbal ability (Naming Tests, SMD g = -0.140), and WM (Trail Making Test A, SMD g = -1.20). In both MCI-LB and PD-MCI, verbal and visuospatial memory retrieval was impaired, while encoding and storage appeared relatively intact.
CONCLUSIONS
The findings of this systematic review indicate similar neuropsychological profiles in the MCI stages of DLB and PDD. Executive impairment may at least partially explain poor performance in other domains.
Topics: Cognitive Dysfunction; Executive Function; Humans; Lewy Body Disease; Parkinson Disease
PubMed: 31826772
DOI: 10.1017/S1355617719001103 -
Brain and Behavior Dec 2019The current systematic and methodological review aimed to critically review existing literature utilizing implicit processing, or automatic approach- and/or...
OBJECTIVE
The current systematic and methodological review aimed to critically review existing literature utilizing implicit processing, or automatic approach- and/or avoidance-related attentional biases between eating disorder (ED) and nonclinical samples, which (a) highlights how psychophysiological methods advance knowledge of ED implicit bias; (b) explains how findings fit into transdiagnostic versus disorder-specific ED frameworks; and (c) suggests how research can address perfectionism-related ED biases.
METHOD
Three databases were systematically searched to identify studies: PubMed, Scopus, and PsychInfo electronic databases. Peer-reviewed studies of 18- to 39-year-olds with both clinical ED and healthy samples assessing visual attentional biases using pictorial and/or linguistic stimuli related to food, body, and/or perfectionism were included.
RESULTS
Forty-six studies were included. While behavioral results were often similar across ED diagnoses, studies incorporating psychophysiological measures often revealed disease-specific attentional biases. Specifically, women with bulimia nervosa (BN) tend to approach food and other body types, whereas women with anorexia nervosa (AN) tend to avoid food as well as overweight bodies.
CONCLUSIONS
Further integration of psychophysiological and behavioral methods may identify subtle processing variations in ED, which may guide prevention strategies and interventions, and provide important clinical implications. Few implicit bias studies include male participants, investigate binge-eating disorder, or evaluate perfectionism-relevant stimuli, despite the fact that perfectionism is implicated in models of ED.
Topics: Adult; Anorexia Nervosa; Attentional Bias; Binge-Eating Disorder; Body Image; Bulimia Nervosa; Feeding Behavior; Female; Food; Humans; Male; Perfectionism; Psychophysiology
PubMed: 31696674
DOI: 10.1002/brb3.1458 -
Clinical Oral Implants Research Oct 2018This systematic review and meta-analysis were conducted to assess and compare the accuracy of conventional and digital implant impressions. The review was registered on... (Meta-Analysis)
Meta-Analysis
AIM
This systematic review and meta-analysis were conducted to assess and compare the accuracy of conventional and digital implant impressions. The review was registered on the PROSPERO register (registration number: CRD42016050730).
MATERIAL AND METHODS
A systematic literature search was conducted adhering to PRISMA guidelines to identify studies on implant impressions published between 2012 and 2017. Experimental and clinical studies at all levels of evidence published in peer-reviewed journals were included, excluding expert opinions. Data extraction was performed along defined parameters for studied specimens, digital and conventional impression specifications and outcome assessment.
RESULTS
Seventy-nine studies were included for the systematic review, thereof 77 experimental studies, one RCT and one retrospective study. The study setting was in vitro for most of the included studies (75 studies) and in vivo for four studies. Accuracy of conventional impressions was examined in 59 studies, whereas digital impressions were examined in 11 studies. Nine studies compared the accuracy of conventional and digital implant impressions. Reported measurements for the accuracy include the following: (a) linear and angular deviations between reference models and test models fabricated with each impression technique; (b) three-dimensional deviations between impression posts and scan bodies respectively; and (c) fit of implant-supported frameworks, assessed by measuring marginal discrepancy along implant abutments.) Meta-analysis was performed of 62 studies. The results of conventional and digital implant impressions exhibited high values for heterogeneity.
CONCLUSIONS
The available data for accuracy of digital and conventional implant impressions have a low evidence level and do not include sufficient data on in vivo application to derive clinical recommendations.
Topics: Computer-Aided Design; Databases, Factual; Dental Implantation; Dental Implants; Dental Impression Materials; Dental Impression Technique; Dental Marginal Adaptation; Dental Prosthesis Design; Dental Prosthesis, Implant-Supported; Humans; Image Processing, Computer-Assisted; Imaging, Three-Dimensional; Models, Dental; Treatment Outcome
PubMed: 30328182
DOI: 10.1111/clr.13273 -
Neuroscience and Biobehavioral Reviews Apr 2017ALS is a multisystem disorder affecting motor and cognitive functions. Bulbar-onset ALS (bALS) may be preferentially associated with cognitive and language impairments,... (Review)
Review
ALS is a multisystem disorder affecting motor and cognitive functions. Bulbar-onset ALS (bALS) may be preferentially associated with cognitive and language impairments, compared with spinal-onset ALS (sALS), stemming from a potentially unique neuropathology. The objective of this systematic review was to compare neuropathology findings reported for bALS and sALS subtypes in studies of cadaveric brains. Using Cochrane guidelines, we reviewed articles in MEDLINE, Embase, and PsycINFO databases using standardized search terms for ALS and neuropathology, from inception until July 16th 2016. 17 studies were accepted for analysis. The analysis revealed that both subtypes presented with involvement in motor and frontotemporal cortices, deep cortical structures, and cerebellum and were characterized by neuronal loss, spongiosis, myelin pallor, and ubiquitin+ and TDP43+ inclusion bodies. Changes in Broca and Wernicke areas - regions associated with speech and language processing - were noted exclusively in bALS. Further, some bALS cases presented with atypical pathology such as neurofibrillary tangles and basophilic inclusions, which were not found in sALS cases. Given the limited number of studies, all with methodological biases, further work is required to better understand neuropathology of ALS subtypes.
Topics: Amyotrophic Lateral Sclerosis; Brain; DNA-Binding Proteins; Humans; Inclusion Bodies; Language Disorders
PubMed: 28163193
DOI: 10.1016/j.neubiorev.2017.01.045 -
Journal of Clinical Monitoring and... Apr 2017Improving diagnosis and treatment depends on clinical monitoring and computing. Clinical decision support systems (CDSS) have been in existence for over 50 years. While... (Review)
Review
Improving diagnosis and treatment depends on clinical monitoring and computing. Clinical decision support systems (CDSS) have been in existence for over 50 years. While the literature points to positive impacts on quality and patient safety, outcomes, and the avoidance of medical errors, technical and regulatory challenges continue to retard their rate of integration into clinical care processes and thus delay the refinement of diagnoses towards personalized care. We conducted a systematic review of pertinent articles in the MEDLINE, US Department of Health and Human Services, Agency for Health Research and Quality, and US Food and Drug Administration databases, using a Boolean approach to combine terms germane to the discussion (clinical decision support, tools, systems, critical care, trauma, outcome, cost savings, NSQIP, APACHE, SOFA, ICU, and diagnostics). References were selected on the basis of both temporal and thematic relevance, and subsequently aggregated around four distinct themes: the uses of CDSS in the critical and surgical care settings, clinical insertion challenges, utilization leading to cost-savings, and regulatory concerns. Precision diagnosis is the accurate and timely explanation of each patient's health problem and further requires communication of that explanation to patients and surrogate decision-makers. Both accuracy and timeliness are essential to critical care, yet computed decision support systems (CDSS) are scarce. The limitation arises from the technical complexity associated with integrating and filtering large data sets from diverse sources. Provider mistrust and resistance coupled with the absence of clear guidance from regulatory bodies further retard acceptance of CDSS. While challenges to develop and deploy CDSS are substantial, the clinical, quality, and economic impacts warrant the effort, especially in disciplines requiring complex decision-making, such as critical and surgical care. Improving diagnosis in health care requires accumulation, validation and transformation of data into actionable information. The aggregate of those processes-CDSS-is currently primitive. Despite technical and regulatory challenges, the apparent clinical and economic utilities of CDSS must lead to greater engagement. These tools play the key role in realizing the vision of a more 'personalized medicine', one characterized by individualized precision diagnosis rather than population-based risk-stratification.
Topics: Algorithms; Critical Care; Decision Support Systems, Clinical; Device Approval; Equipment Design; Health Care Costs; Humans; Medical Errors; Monitoring, Intraoperative; Monitoring, Physiologic; Patient Safety; Precision Medicine; Reproducibility of Results; Risk; Signal Processing, Computer-Assisted; Treatment Outcome; United States; United States Food and Drug Administration
PubMed: 26902081
DOI: 10.1007/s10877-016-9849-1 -
European Journal of Neurology Feb 2016Phosphorylated α-synuclein (phosαSYN) containing inclusions in neurons (Lewy bodies, LB) and nerve terminals (Lewy neurites, LN), the pathological hallmark of... (Review)
Review
Phosphorylated α-synuclein (phosαSYN) containing inclusions in neurons (Lewy bodies, LB) and nerve terminals (Lewy neurites, LN), the pathological hallmark of Parkinson's disease (PD), are not confined to the central nervous system, but have also been reported in peripheral tissues. However, the usefulness of αSYN/phosαSYN detection in tissues accessible to biopsies as a reliable biomarker for prodromal PD remains unclear. A systematic review of studies using biopsies of skin, olfactory and gastrointestinal (GI) tissues was conducted to evaluate the sensitivity and specificity of both αSYN and phosαSYN staining in PD patients. Data analysis was hampered by the diversity of the methods used, e.g. choice of biopsy sites, tissue processing, staining protocols and evaluation of the findings. Tissue obtained from GI tract/salivary glands (13 post-mortem, 13 in vivo studies) yielded the highest overall sensitivity and specificity compared to skin (three post-mortem, eight in vivo studies) and olfactory mucosa/bulb (six post-mortem studies, one in vivo study). In contrast to phosαSYN, αSYN was more consistently detectable in peripheral tissues of healthy controls. GI tract/salivary glands appear to be the most promising candidate tissue for peripheral biopsy-taking. phosαSYN is considered as the marker of choice to delineate pathological aggregates from normal αSYN regularly found in peripheral neural tissues. However, the sensitivity and specificity of phosαSYN are not yet acceptable for using phosαSYN as a reliable peripheral biomarker for PD in clinical routine. Further refinement regarding the interpretation of the peripheral αSYN/phosαSYN burden and the phenotypical definition of peripheral LB/LN is needed to optimize screening methods for prodromal PD.
Topics: Biomarkers; Gastrointestinal Tract; Humans; Parkinson Disease; Salivary Glands; alpha-Synuclein
PubMed: 26100920
DOI: 10.1111/ene.12753 -
Postgraduate Medicine Aug 2015Although doctors' discharge summaries (DS) are important forms of communication between the physicians in patient care, deficits in the quality of DS are common. This... (Review)
Review
OBJECTIVE
Although doctors' discharge summaries (DS) are important forms of communication between the physicians in patient care, deficits in the quality of DS are common. This review aims to answer the following question: according to the literature, how can the quality of DS be improved by (1) interventions; (2) reviews and guidelines of regulatory bodies; and (3) other practical recommendations?
METHODS
Systematic review of the literature.
RESULTS
The scientific papers on optimizing the quality of DS (n = 234) are heterogeneous and do not allow any meta-analysis. The interventional studies revealed that a structured approach of writing, educational training including feedback and the use of a checklist are effective methods. Guidelines are helpful for outlining the key characteristics of DS. Additionally, the articles in the literature provided practical proposals on improving form, structure, clinical content, treatment recommendations, follow-up plan, medications and changes, addressees, patient data, length, language, dictation, electronic processing and timeliness of DS.
CONCLUSION
The literature review revealed various possibilities for improving the quality of DS.
Topics: Communication; Humans; Patient Discharge Summaries; Quality Improvement
PubMed: 26074128
DOI: 10.1080/00325481.2015.1054256