Data-driven biological subtypes of depression: systematic review of biological approaches to depression subtyping

2019 ◽  
Vol 24 (6) ◽  
pp. 888-900 ◽  
Author(s):  
Lian Beijers ◽  
Klaas J. Wardenaar ◽  
Hanna M. van Loo ◽  
Robert A. Schoevers
Keyword(s):  
Systematic Review ◽  
Data Driven

scholarly journals Measuring context-dependent memory in rodents: a systematic review and meta-analysis of important variables in the object-in-context task.

2021 ◽  
Author(s):  
Milou Sep ◽  
Marijn Vellinga ◽  
R. Angela Sarabdjitsingh ◽  
Marian Joëls
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Animal Experiments ◽  
Data Driven ◽  
Evidence Based ◽  
Critical Factors ◽  
Context Dependent ◽  
Set Up ◽  
Rats And Mice ◽  
Learning Trials

Environmental information plays an important role in remembering events. Information about stable aspects of the environment (here referred to as ‘context’) and the event are combined by the hippocampal system and stored as context-dependent memory. In rodents (such as rats and mice), context-dependent memory is often investigated with the object-in-context task. However, the implementation and interpretation of this task varies considerably across studies. This variation hampers the comparison between studies and - for those who design a new experiment or carry out pilot experiments – the estimation of whether observed behavior is within the expected range. Also, it is currently unclear which of the variables critically influence the outcome of the task. To address these issues, we carried out a preregistered systematic review (PROSPERO CRD42020191340) and provide an up-to-date overview of the animal-, task-, and protocol-related variations in the object-in-context task for rodents. Using a data-driven explorative meta-analysis we next identified critical factors influencing the outcome of this task, such as sex, testbox size and the delay between the learning trials. Based on these observations we provide recommendations to create more consensus in the set-up, procedure and interpretation of the object-in-context task for rodents. This could contribute to a more robust and evidence-based design in future animal experiments.

scholarly journals Post‐sigh sleep apneas in mice: Systematic review and data‐driven definition

2019 ◽  
Vol 28 (6) ◽  
Author(s):  
Stefano Bastianini ◽  
Sara Alvente ◽  
Chiara Berteotti ◽  
Marcello Bosi ◽  
Viviana Lo Martire ◽  
...  
Keyword(s):  
Systematic Review ◽  
Data Driven

scholarly journals Quantification and visualisation methods of data-driven chronic care delivery pathways: protocol for a systematic review and content analysis

BMJ Open ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. e033573 ◽  
Author(s):  
Luiza Siqueira do Prado ◽  
Samuel Allemann ◽  
Marie Viprey ◽  
Anne-Marie Schott ◽  
Dan Dediu ◽  
...  
Keyword(s):  
Systematic Review ◽  
Content Analysis ◽  
Chronic Conditions ◽  
Data Science ◽  
Care Delivery ◽  
Meta Analysis ◽  
Healthcare Utilisation ◽  
Data Driven ◽  
Term Care ◽  
Electronic Healthcare Databases

IntroductionChronic conditions require long periods of care and often involve repeated interactions with multiple healthcare providers. Faced with increasing illness burden and costs, healthcare systems are currently working towards integrated care to streamline these interactions and improve efficiency. To support this, one promising resource is the information on routine care delivery stored in various electronic healthcare databases (EHD). In chronic conditions, care delivery pathways (CDPs) can be constructed by linking multiple data sources and extracting time-stamped healthcare utilisation events and other medical data related to individual or groups of patients over specific time periods; CDPs may provide insights into current practice and ways of improving it. Several methods have been proposed in recent years to quantify and visualise CDPs. We present the protocol for a systematic review aiming to describe the content and development of CDP methods, to derive common recommendations for CDP construction.Methods and analysisThis protocol followed the Preferred Reporting Items for Systematic review and Meta-Analysis Protocols. A literature search will be performed in PubMed (MEDLINE), Scopus, IEEE, CINAHL and EMBASE, without date restrictions, to review published papers reporting data-driven chronic CDPs quantification and visualisation methods. We will describe them using several characteristics relevant for EHD use in long-term care, grouped into three domains: (1) clinical (what clinical information does the method use and how was it considered relevant?), (2) data science (what are the method’s development and implementation characteristics?) and (3) behavioural (which behaviours and interactions does the method aim to promote among users and how?). Data extraction will be performed via deductive content analysis using previously defined characteristics and accompanied by an inductive analysis to identify and code additional relevant features. Results will be presented in descriptive format and used to compare current CDPs and generate recommendations for future CDP development initiatives.Ethics and disseminationDatabase searches will be initiated in May 2019. The review is expected to be completed by February 2020. Ethical approval is not required for this review. Results will be disseminated in peer-reviewed journals and conference presentations.PROSPERO registration numberCRD42019140494.

scholarly journals How Much do Needlestick Injuries Cost? A Systematic Review of the Economic Evaluations of Needlestick and Sharps Injuries Among Healthcare Personnel

2016 ◽  
Vol 37 (6) ◽  
pp. 635-646 ◽  
Author(s):  
Alice Mannocci ◽  
Gabriella De Carli ◽  
Virginia Di Bari ◽  
Rosella Saulle ◽  
Brigid Unim ◽  
...  
Keyword(s):  
Systematic Review ◽  
Indirect Costs ◽  
Occupational Exposures ◽  
Direct Costs ◽  
Data Driven ◽  
Healthcare Personnel ◽  
Economic Evaluations ◽  
Modeling Studies ◽  
Intangible Costs ◽  
The Impact

OBJECTIVETo provide an overview of the economic aspects of needlestick and sharps injury (NSI) management among healthcare personnel (HCP) within a Health Technology Assessment project to evaluate the impact of safety-engineered devices on health careMETHODSA systematic review of economic analyses related to NSIs was performed in accordance with the PRISMA statement and by searching PubMed and Scopus databases (January 1997–February 2015). Mean costs were stratified by study approach (modeling or data driven) and type of cost (direct or indirect). Costs were evaluated using the CDC operative definition and converted to 2015 International US dollars (Int$).RESULTSA total of 14 studies were retrieved: 8 data-driven studies and 6 modeling studies. Among them, 11 studies provided direct and indirect costs and 3 studies provided only direct costs. The median of the means for aggregate (direct + indirect) costs was Int$747 (range, Int$199–Int$1,691). The medians of the means for disaggregated costs were Int$425 (range, Int$48–Int$1,516) for direct costs (9 studies) and Int$322 (range, Int$152–Int$413) for indirect costs (6 studies). When compared with data-driven studies, modeling studies had higher disaggregated and aggregated costs, but data-driven studies showed greater variability. Indirect costs were consistent between studies, mostly referring to lost productivity, while direct costs varied widely within and between studies according to source infectivity, HCP susceptibility, and post-exposure diagnostic and prophylactic protocols. Costs of treating infections were not included, and intangible costs could equal those associated with NSI medical evaluations.CONCLUSIONSNSIs generate significant direct, indirect, potential, and intangible costs, possibly increasing over time. Economic efforts directed at preventing occupational exposures and infections, including provision of safety-engineered devices, may be offset by the savings from a lower incidence of NSIs.Infect Control Hosp Epidemiol 2016;37:635–646

A Systematic Review of Studies Reporting Data-Driven Cognitive Subtypes across the Psychosis Spectrum

2019 ◽  
Vol 30 (4) ◽  
pp. 446-460 ◽  
Author(s):  
Melissa J. Green ◽  
Leah Girshkin ◽  
Kyle Kremerskothen ◽  
Oliver Watkeys ◽  
Yann Quidé
Keyword(s):  
Systematic Review ◽  
Data Driven ◽  
Reporting Data

Implications of data-driven analyses for personalized therapy in psychosis: a systematic review of cluster- and trajectory-based modelling studies

2019 ◽  
Author(s):  
Tesfa Dejenie Habtewold ◽  
Lyan H. Rodijk ◽  
Edith J. Liemburg ◽  
Grigory Sidorenkov ◽  
H. Marike Boezen ◽  
...  
Keyword(s):  
Systematic Review ◽  
Longitudinal Studies ◽  
Cognitive Deficits ◽  
Negative Symptoms ◽  
Clinical Symptoms ◽  
Data Driven ◽  
Schizophrenia Spectrum Disorders ◽  
Cross Sectional ◽  
Modelling Studies ◽  
Positive And Negative Symptoms

AbstractIntroductionTo tackle the phenotypic heterogeneity of schizophrenia, data-driven methods are often applied to identify subtypes of its (sub)clinical symptoms though there is no systematic review.AimsTo summarize the evidence from cluster- and trajectory-based studies of positive, negative and cognitive symptoms in patients with schizophrenia spectrum disorders, their siblings and healthy people. Additionally, we aimed to highlight knowledge gaps and point out future directions to optimize the translatability of cluster- and trajectory-based studies.MethodsA systematic review was performed through searching PsycINFO, PubMed, PsycTESTS, PsycARTICLES, SCOPUS, EMBASE, and Web of Science electronic databases. Both cross-sectional and longitudinal studies published from 2008 to 2019, which reported at least two statistically derived clusters or trajectories were included. Two reviewers independently screened and extracted the data.ResultsOf 2,285 studies retrieved, 50 studies (17 longitudinal and 33 cross-sectional) conducted in 30 countries were selected for review. Longitudinal studies discovered two to five trajectories of positive and negative symptoms in patient, and four to five trajectories of cognitive deficits in patient and sibling. In cross-sectional studies, three clusters of positive and negative symptoms in patient, four clusters of positive and negative schizotypy in sibling, and three to five clusters of cognitive deficits in patient and sibling were identified. These studies also reported multidimensional predictors of clusters and trajectories.ConclusionsOur findings indicate that (sub)clinical symptoms of schizophrenia are more heterogeneous than currently recognized. Identified clusters and trajectories can be used as a basis for personalized psychiatry.

scholarly journals Data-driven subtypes of major depressive disorder: a systematic review

BMC Medicine ◽  
2012 ◽  
Vol 10 (1) ◽  
Author(s):  
Hanna M van Loo ◽  
Peter de Jonge ◽  
Jan-Willem Romeijn ◽  
Ronald C Kessler ◽  
Robert A Schoevers
Keyword(s):  
Systematic Review ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Data Driven ◽  
Major Depressive

A systematic review and meta-analysis of vineyard techniques used to delay ripening.

2021 ◽  
Author(s):  
Pietro Previtali ◽  
Filippo Giorgini ◽  
Randall S. Mullen ◽  
Nick K. Dookozlian ◽  
Kerry L. Wilkinson ◽  
...  
Keyword(s):  
Systematic Review ◽  
Quantitative Data ◽  
Meta Analysis ◽  
Data Driven ◽  
Experimental Conditions ◽  
Factors Affecting ◽  
Apical Bud ◽  
Grape Quality ◽  
Source Limitation ◽  
The Impact

Abstract Several vineyard techniques have been proposed to delay grape maturity in light of the advanced maturation driven by increasingly frequent water and heat stress events that are detrimental to grape quality. These studies differ in terms of their experimental conditions, and in the present work we have attempted to summarize previous observations in a quantitative, data-driven systematic review. A meta-analysis of quantitative data gathered across 43 relevant studies revealed the overall significance of the proposed treatments and evaluated the impact of different experimental conditions on the outcome of antitranspirants, delayed pruning and late source limitation. Antitranspirants were most effective when applied twice and closer to veraison, while di-1-p-menthene increased the ripening delay by about 1°Brix compared to kaolin. Larger ripening delays were achieved with delayed pruning of low-yielding vines or by pruning at later stages of apical bud development. Late defoliation or shoot trimming delayed ripening in high-yielding vines and represent suitable solutions for late-harvested varieties, but became ineffective where the treatment decreased yield. This quantitative meta-analysis of 242 primary observations uncovers factors affecting the efficacy of vineyard practices to delay ripening, which should be carefully considered by grape growers attempting to achieve this outcome.

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