Presented at MLA2011. Improved indexing changes are outlined as well as significant improvements to saving searches as part of a systematic search workflow.
Embase - Supporting Evidence Based Medicine - Webinar 24 Oct 2012Ann-Marie Roche
During this webinar, Ian Crowlesmith, our Embase expert:
- Outlined recent changes in Embase which you can use to identify medical evidence that is difficult to find elsewhere.
- Demonstrated Embase tools which help to search with greater precision, and support the preparation of Systematic Reviews.
- Evidence in therapy, diagnosis, prognosis and prevention were also covered
This presentation outlines benefits for including Embase in as well designed systematic search and how you may best use Embase, based on established EBM guidelines.
This document describes using partial least squares discriminant analysis (PLS-DA) to identify metabolites that best discriminate between different sample processing methods using metabolomic data from pumpkin samples. It discusses modeling strategies including model selection, results visualization, feature selection, and validation. Key steps involve building PLS models to discriminate extraction and treatment groups, evaluating scores and loadings plots, and identifying the top discriminating variables between extraction methods based on their importance in the models.
This document summarizes the analysis of different extraction and drying protocols for pumpkin leaf metabolites. It compares various metrics like mean, standard deviation, and percent relative standard deviation (%RSD) to identify the optimal sample processing method. Method #2, using acetonitrile, isopropanol and water in a 3:3:2 ratio, showed the lowest average %RSD and most metabolites below a 40% RSD cutoff, making it the optimal method. Statistical tests found minimal effect of drying on metabolite levels. A power analysis determined sample sizes needed to detect certain minimum effect sizes.
The document discusses using hierarchical cluster analysis (HCA) to evaluate metabolomic sample processing methods. It describes two goals: 1) Use HCA to cluster samples based on raw data similarities and correlations to determine the impact of extraction and treatment methods on data variance. Extraction had the greatest effect, with ACN:/IPA/water and MeOH/CH3Cl/water samples most similar. 2) Use HCA to cluster metabolites based on z-scaled data and correlations to identify groups of related metabolites and evaluate the robustness of different correlation measures. Clusters extracted from the correlation-based dendrogram contained metabolites that shared biological functions.
Prote-OMIC Data Analysis and VisualizationDmitry Grapov
Introductory lecture to multivariate analysis of proteomic data.
Material from the UC Davis 2014 Proteomics Workshop.
See more at: http://sourceforge.net/projects/teachingdemos/files/2014%20UC%20Davis%20Proteomics%20Workshop/
This document summarizes an analysis comparing the primary leaf metabolites of pumpkin and tomatillo plants. The goal was to carry out statistical analyses, hierarchical cluster analysis (HCA), principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (O-PLS-DA) on metabolite profile data from pumpkin and tomatillo leaf samples. Both the HCA and PCA suggested that the treatment effect on metabolite profiles was minor compared to differences between species. A PLS-DA model was validated and found to have outstanding performance in discriminating between pumpkin and tomatillo leaf metabolites. Top discriminating metabolites between the species were then identified.
Embase - Supporting Evidence Based Medicine - Webinar 24 Oct 2012Ann-Marie Roche
During this webinar, Ian Crowlesmith, our Embase expert:
- Outlined recent changes in Embase which you can use to identify medical evidence that is difficult to find elsewhere.
- Demonstrated Embase tools which help to search with greater precision, and support the preparation of Systematic Reviews.
- Evidence in therapy, diagnosis, prognosis and prevention were also covered
This presentation outlines benefits for including Embase in as well designed systematic search and how you may best use Embase, based on established EBM guidelines.
This document describes using partial least squares discriminant analysis (PLS-DA) to identify metabolites that best discriminate between different sample processing methods using metabolomic data from pumpkin samples. It discusses modeling strategies including model selection, results visualization, feature selection, and validation. Key steps involve building PLS models to discriminate extraction and treatment groups, evaluating scores and loadings plots, and identifying the top discriminating variables between extraction methods based on their importance in the models.
This document summarizes the analysis of different extraction and drying protocols for pumpkin leaf metabolites. It compares various metrics like mean, standard deviation, and percent relative standard deviation (%RSD) to identify the optimal sample processing method. Method #2, using acetonitrile, isopropanol and water in a 3:3:2 ratio, showed the lowest average %RSD and most metabolites below a 40% RSD cutoff, making it the optimal method. Statistical tests found minimal effect of drying on metabolite levels. A power analysis determined sample sizes needed to detect certain minimum effect sizes.
The document discusses using hierarchical cluster analysis (HCA) to evaluate metabolomic sample processing methods. It describes two goals: 1) Use HCA to cluster samples based on raw data similarities and correlations to determine the impact of extraction and treatment methods on data variance. Extraction had the greatest effect, with ACN:/IPA/water and MeOH/CH3Cl/water samples most similar. 2) Use HCA to cluster metabolites based on z-scaled data and correlations to identify groups of related metabolites and evaluate the robustness of different correlation measures. Clusters extracted from the correlation-based dendrogram contained metabolites that shared biological functions.
Prote-OMIC Data Analysis and VisualizationDmitry Grapov
Introductory lecture to multivariate analysis of proteomic data.
Material from the UC Davis 2014 Proteomics Workshop.
See more at: http://sourceforge.net/projects/teachingdemos/files/2014%20UC%20Davis%20Proteomics%20Workshop/
This document summarizes an analysis comparing the primary leaf metabolites of pumpkin and tomatillo plants. The goal was to carry out statistical analyses, hierarchical cluster analysis (HCA), principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (O-PLS-DA) on metabolite profile data from pumpkin and tomatillo leaf samples. Both the HCA and PCA suggested that the treatment effect on metabolite profiles was minor compared to differences between species. A PLS-DA model was validated and found to have outstanding performance in discriminating between pumpkin and tomatillo leaf metabolites. Top discriminating metabolites between the species were then identified.
Metabolomics and Beyond Challenges and Strategies for Next-gen Omic Analyses Dmitry Grapov
Dr. Dmitry Grapov gave a webinar on challenges and strategies for next-generation omics analyses. He discussed how large, longitudinal studies integrating multiple omics domains are needed to identify small biological effects. Data normalization strategies must be considered during experimental design to remove analytical batch effects. Quality control-based normalization using analytical replicates can estimate and remove analytical variance from large datasets. Integrating multiple measurement platforms is often required to identify systems of biological changes. Network-based analysis of omics data can help explain more phenotypic variance than single omics approaches alone. Dr. Grapov demonstrated software tools he developed for network analysis, visualization, and integration of multi-omics datasets.
This document describes a methodology for comparing bioavailability and bioequivalence data from pharmaceutical clinical trials. The methodology involves gathering generic and innovator drug data, classifying the data, comparing the data using statistical methods, and establishing equivalence criteria. The comparison methods calculate correlation coefficients and weighted differences between tests, and use z-scores to evaluate test performance in a proficiency test. The goal is to assure therapeutic equivalence between generic and innovator drugs.
Advanced strategies for Metabolomics Data AnalysisDmitry Grapov
Part of a lectures series for the international summer course in metabolomics 2013 (http://metabolomics.ucdavis.edu/courses-and-seminars/courses). Get more material and information here (http://imdevsoftware.wordpress.com/2013/09/08/sessions-in-metabolomics-2013/).
The document presents a conceptual model for matching patients and researchers based on medical measurements. The model uses well-established techniques like filtering, principal component analysis (PCA) for data reduction, and similarity matching. A simulation for type 2 diabetes shows PCA significantly reduces the feature space while retaining unique information. Similarity coefficients may effectively match individuals based on their medical measurements and profiles. Next steps include adding temporal filtering and testing the model on a larger scale.
This document discusses different techniques for analyzing qualitative, descriptive, correlational, multivariate, and experimental research data. It notes that qualitative data analysis involves deriving categories from text or applying an existing category system. Descriptive data is commonly analyzed using descriptive statistics like frequencies, central tendencies, and variabilities. Correlational data examines the relationship between two variables, while multivariate techniques like multiple regression and discriminant analysis analyze relationships between multiple variables simultaneously. Experimental data can be analyzed using t-tests, ANOVA, factorial ANOVA, and chi-square tests. The document concludes that most data analysis techniques can now be performed using computer software packages designed for this purpose.
Embase: Tips and tricks for trainers - 27 Feb 2013Ann-Marie Roche
In this webinar, Ann-Marie reviewed the following:
- How to demonstrate value in Embase
- How to scope out and build searches
- Where to find tools and materials for training.
Case Study: Overview of Metabolomic Data Normalization StrategiesDmitry Grapov
Five normalization methods were compared, of which the combination of qc-LOESS and cubic splines showed the best performance based on within-batch and between-batch variable relative standard deviations for QCs. This approach was used to normalize sample measurements the results of which were analyzed using principal components analysis.
A query is a request for data or action on data. Queries can be used to answer questions, perform calculations, combine data from different tables, or add, change, or delete table data. Select queries are used to retrieve data or make calculations, while action queries add, change, or delete data. Common examples of queries include finding the maximum value in a column and calculating visits per day.
Learn how to use Embase for all your biomedical searches
• Which workflows are supported by Embase and why
• An overview of content and indexing compared to Medline
• A demo in Embase of some introductory searches
• Answers to the most frequently asked questions by new users
• Where to find materials to support trainers
Embase - Searching for Evidence Based Medicine - May 22 2013Ann-Marie Roche
In our Embase webinar, Ian Crowlesmith searched for evidence in 4 case studies: Drugs & diseases; Diagnostic tests; Medical devices and Process of care
He also focused on: Goals and methods; Levels of evidence and Other search tips
The document discusses searching for qualitative research studies. It provides additional search terms to try under categories like exploratory methods, software, approaches, and experiences. It also discusses the challenges of searching for qualitative studies and how to use methodological filters to improve search results by focusing on study design and methodology. Advanced search techniques like filters aim to retrieve qualitative research studies in a more focused way.
6410 Application 3 Becoming a Leader in the Translation of Evide.docxtroutmanboris
6410 Application 3: Becoming a Leader in the Translation of Evidence to Practice
Note: Have an APA Level 1 header for each area noted below in blue (a level 1 header is centered, bolded, using upper and lower case letters—see APA manual area 3.03) Follow APA format and include a minimum of 5 scholarly references less than 5 years old.
Include a BRIEF Introduction and Summary in addition to the headers below. DO NOT EXCEED THREE PAGES AND MUST CITE OFTEN THROUGHOUT THE PAPER.
Grading Area
Points Possible
Points Earned
Potential areas for earning points:
Header: Efforts to Increase Finance and Economic Knowledge
How you would continue to increase your knowledge and awareness of financial, economic, and other concerns related to new practice approaches
2
Header: Use of Evidence to Improve Practice
How translating evidence would enable you to affect or strengthen health care delivery and nursing practice
2
Header: Advocating for EBP Policy Change
How you would advocate for the use of new evidence-based practice approaches through the policy arena
2
Potential areas for losing points:
Grammar, Spelling, and APA errors
Up to 2 pt. deduction
Went Over Page Limit (2-3 pages max)
Up to 2 pt. deduction
Improper credit & citation issue
(See Turnitin Report)
1-6 pt. deduction
Late Submission
20% deduction (1.2 pts) per day late (per syllabus)
6 Total Points Possible
Total Points Earned
P.S. Under the first header on “Effort to Increase Finance and Economic Knowledge, please refer to the attached week 6 discussion you did for me, except you did not include specific numbers and statistics. Below is the critique made by the professor on that area. Please read through the critique and try to incorporate it in this portion of this paper.
Dear student: Thank you for your contribution to this week’s discussion. You brought forward potential costs associated with increased mobilization of ICU patients….namely the need for more nurse time. Do you have some hard numbers you can provide on the potential cost of this? Do you have any local or national information on the cost of not mobilizing the patients (longer stays, increased infection, readmission)? Calculating approximate cost associated with the practice change versus the cost of not changing is important. This will help stakeholders see the value in the investment.
DISCUSSION PAPER
Evidence-based practice models for organizational change: overview
and practical applications
Marjorie A. Schaffer, Kristin E. Sandau & Lee Diedrick
Accepted for publication 19 July 2012
Correspondence to M.A. Schaffer:
e-mail: [email protected]
Marjorie A. Schaffer PhD RN
Professor of Nursing
Bethel University, St. Paul, Minnesota, USA
Kristin E. Sandau PhD RN CNE
Professor of Nursing
Bethel University, St. Paul, Minnesota, USA
Lee Diedrick MAN RN C-NIC
Clinical Educator
Children’s Hospitals and Clinics of
Minnesota, St. Paul, Minnesota, USA
S C H A F F E R M . A . , S A N D A U K ..
This document discusses the difference between common practice and best practice in nursing. Common practice refers to the way things are typically done based on past experience, while best practice refers to the most effective way to do something based on research evidence. The document encourages nurses to engage in clinical inquiry by questioning current practices and searching research to determine if common practices should be changed or maintained. Nurses are asked to identify a clinical issue of interest, search the literature to find peer-reviewed research on the topic, and analyze the methodologies used in 4 research articles related to the issue.
The document discusses evidence-based health services management and provides guidance on conducting literature searches to inform management decisions. It outlines the origins and definition of evidence-based management, describes databases like Cochrane Library and PubMed that contain systematic reviews and studies, and provides tips for developing focused search questions and strategies to efficiently find relevant evidence. Examples of search exercises are included to demonstrate these concepts.
A session for the Dent 610 course at the University of Michigan, on research methods and processes. Specific focus of this session on systematic review methods and processes, especially through database searching.
For a School of Information class on medical librarianship, this presentation was created to provide a very basic introduction and overview of the concepts, expectations, and experience of the librarian portion of working in a systematic review team.
Learn how to use Embase for all your biomedical searches.
- Which workflows are supported by Embase and why
- An overview of content and indexing compared to Medline
- A demo in Embase of some introductory searches
- Answers to the most frequently asked questions by new users
- Where to find materials to support trainers
Metabolomics and Beyond Challenges and Strategies for Next-gen Omic Analyses Dmitry Grapov
Dr. Dmitry Grapov gave a webinar on challenges and strategies for next-generation omics analyses. He discussed how large, longitudinal studies integrating multiple omics domains are needed to identify small biological effects. Data normalization strategies must be considered during experimental design to remove analytical batch effects. Quality control-based normalization using analytical replicates can estimate and remove analytical variance from large datasets. Integrating multiple measurement platforms is often required to identify systems of biological changes. Network-based analysis of omics data can help explain more phenotypic variance than single omics approaches alone. Dr. Grapov demonstrated software tools he developed for network analysis, visualization, and integration of multi-omics datasets.
This document describes a methodology for comparing bioavailability and bioequivalence data from pharmaceutical clinical trials. The methodology involves gathering generic and innovator drug data, classifying the data, comparing the data using statistical methods, and establishing equivalence criteria. The comparison methods calculate correlation coefficients and weighted differences between tests, and use z-scores to evaluate test performance in a proficiency test. The goal is to assure therapeutic equivalence between generic and innovator drugs.
Advanced strategies for Metabolomics Data AnalysisDmitry Grapov
Part of a lectures series for the international summer course in metabolomics 2013 (http://metabolomics.ucdavis.edu/courses-and-seminars/courses). Get more material and information here (http://imdevsoftware.wordpress.com/2013/09/08/sessions-in-metabolomics-2013/).
The document presents a conceptual model for matching patients and researchers based on medical measurements. The model uses well-established techniques like filtering, principal component analysis (PCA) for data reduction, and similarity matching. A simulation for type 2 diabetes shows PCA significantly reduces the feature space while retaining unique information. Similarity coefficients may effectively match individuals based on their medical measurements and profiles. Next steps include adding temporal filtering and testing the model on a larger scale.
This document discusses different techniques for analyzing qualitative, descriptive, correlational, multivariate, and experimental research data. It notes that qualitative data analysis involves deriving categories from text or applying an existing category system. Descriptive data is commonly analyzed using descriptive statistics like frequencies, central tendencies, and variabilities. Correlational data examines the relationship between two variables, while multivariate techniques like multiple regression and discriminant analysis analyze relationships between multiple variables simultaneously. Experimental data can be analyzed using t-tests, ANOVA, factorial ANOVA, and chi-square tests. The document concludes that most data analysis techniques can now be performed using computer software packages designed for this purpose.
Embase: Tips and tricks for trainers - 27 Feb 2013Ann-Marie Roche
In this webinar, Ann-Marie reviewed the following:
- How to demonstrate value in Embase
- How to scope out and build searches
- Where to find tools and materials for training.
Case Study: Overview of Metabolomic Data Normalization StrategiesDmitry Grapov
Five normalization methods were compared, of which the combination of qc-LOESS and cubic splines showed the best performance based on within-batch and between-batch variable relative standard deviations for QCs. This approach was used to normalize sample measurements the results of which were analyzed using principal components analysis.
A query is a request for data or action on data. Queries can be used to answer questions, perform calculations, combine data from different tables, or add, change, or delete table data. Select queries are used to retrieve data or make calculations, while action queries add, change, or delete data. Common examples of queries include finding the maximum value in a column and calculating visits per day.
Learn how to use Embase for all your biomedical searches
• Which workflows are supported by Embase and why
• An overview of content and indexing compared to Medline
• A demo in Embase of some introductory searches
• Answers to the most frequently asked questions by new users
• Where to find materials to support trainers
Embase - Searching for Evidence Based Medicine - May 22 2013Ann-Marie Roche
In our Embase webinar, Ian Crowlesmith searched for evidence in 4 case studies: Drugs & diseases; Diagnostic tests; Medical devices and Process of care
He also focused on: Goals and methods; Levels of evidence and Other search tips
The document discusses searching for qualitative research studies. It provides additional search terms to try under categories like exploratory methods, software, approaches, and experiences. It also discusses the challenges of searching for qualitative studies and how to use methodological filters to improve search results by focusing on study design and methodology. Advanced search techniques like filters aim to retrieve qualitative research studies in a more focused way.
6410 Application 3 Becoming a Leader in the Translation of Evide.docxtroutmanboris
6410 Application 3: Becoming a Leader in the Translation of Evidence to Practice
Note: Have an APA Level 1 header for each area noted below in blue (a level 1 header is centered, bolded, using upper and lower case letters—see APA manual area 3.03) Follow APA format and include a minimum of 5 scholarly references less than 5 years old.
Include a BRIEF Introduction and Summary in addition to the headers below. DO NOT EXCEED THREE PAGES AND MUST CITE OFTEN THROUGHOUT THE PAPER.
Grading Area
Points Possible
Points Earned
Potential areas for earning points:
Header: Efforts to Increase Finance and Economic Knowledge
How you would continue to increase your knowledge and awareness of financial, economic, and other concerns related to new practice approaches
2
Header: Use of Evidence to Improve Practice
How translating evidence would enable you to affect or strengthen health care delivery and nursing practice
2
Header: Advocating for EBP Policy Change
How you would advocate for the use of new evidence-based practice approaches through the policy arena
2
Potential areas for losing points:
Grammar, Spelling, and APA errors
Up to 2 pt. deduction
Went Over Page Limit (2-3 pages max)
Up to 2 pt. deduction
Improper credit & citation issue
(See Turnitin Report)
1-6 pt. deduction
Late Submission
20% deduction (1.2 pts) per day late (per syllabus)
6 Total Points Possible
Total Points Earned
P.S. Under the first header on “Effort to Increase Finance and Economic Knowledge, please refer to the attached week 6 discussion you did for me, except you did not include specific numbers and statistics. Below is the critique made by the professor on that area. Please read through the critique and try to incorporate it in this portion of this paper.
Dear student: Thank you for your contribution to this week’s discussion. You brought forward potential costs associated with increased mobilization of ICU patients….namely the need for more nurse time. Do you have some hard numbers you can provide on the potential cost of this? Do you have any local or national information on the cost of not mobilizing the patients (longer stays, increased infection, readmission)? Calculating approximate cost associated with the practice change versus the cost of not changing is important. This will help stakeholders see the value in the investment.
DISCUSSION PAPER
Evidence-based practice models for organizational change: overview
and practical applications
Marjorie A. Schaffer, Kristin E. Sandau & Lee Diedrick
Accepted for publication 19 July 2012
Correspondence to M.A. Schaffer:
e-mail: [email protected]
Marjorie A. Schaffer PhD RN
Professor of Nursing
Bethel University, St. Paul, Minnesota, USA
Kristin E. Sandau PhD RN CNE
Professor of Nursing
Bethel University, St. Paul, Minnesota, USA
Lee Diedrick MAN RN C-NIC
Clinical Educator
Children’s Hospitals and Clinics of
Minnesota, St. Paul, Minnesota, USA
S C H A F F E R M . A . , S A N D A U K ..
This document discusses the difference between common practice and best practice in nursing. Common practice refers to the way things are typically done based on past experience, while best practice refers to the most effective way to do something based on research evidence. The document encourages nurses to engage in clinical inquiry by questioning current practices and searching research to determine if common practices should be changed or maintained. Nurses are asked to identify a clinical issue of interest, search the literature to find peer-reviewed research on the topic, and analyze the methodologies used in 4 research articles related to the issue.
The document discusses evidence-based health services management and provides guidance on conducting literature searches to inform management decisions. It outlines the origins and definition of evidence-based management, describes databases like Cochrane Library and PubMed that contain systematic reviews and studies, and provides tips for developing focused search questions and strategies to efficiently find relevant evidence. Examples of search exercises are included to demonstrate these concepts.
A session for the Dent 610 course at the University of Michigan, on research methods and processes. Specific focus of this session on systematic review methods and processes, especially through database searching.
For a School of Information class on medical librarianship, this presentation was created to provide a very basic introduction and overview of the concepts, expectations, and experience of the librarian portion of working in a systematic review team.
Learn how to use Embase for all your biomedical searches.
- Which workflows are supported by Embase and why
- An overview of content and indexing compared to Medline
- A demo in Embase of some introductory searches
- Answers to the most frequently asked questions by new users
- Where to find materials to support trainers
This document discusses translating research into nursing practice. It defines key terms like evidence-based practice, comparative effectiveness research, and practice-based evidence. It also outlines frameworks for translating research like the stages of diffusion of innovations and Stetler's research utilization model. Finally, it discusses strategies for individual nurses and organizations to facilitate applying research findings in clinical settings.
This document provides an overview and summary of Health Science eBooks, Embase, and SciVerse Scopus. It describes the key features and benefits of each product, including over 850 eBook titles in health sciences from imprints like Mosby, Saunders, and Churchill Livingston available on ScienceDirect. It also summarizes Embase as the world's most comprehensive biomedical research tool covering 7,000 journals and SciVerse Scopus as the largest abstract and citation database of peer-reviewed literature with over 22,000 titles.
Embase is a biomedical literature database that provides comprehensive coverage of journal articles and conference proceedings. It indexes over 31 million records from over 8,500 journals. Embase focuses on literature relevant to disease, drug, and medical device research. It provides more extensive coverage than MEDLINE, including more non-English content and randomized controlled trials. Embase indexing uses a controlled vocabulary thesaurus called Emtree to deeply index articles at the level of drugs, diseases, and associated terms. This deep indexing allows users to precisely search and retrieve all relevant articles on a topic.
Improving Biomedical Literature Search Skills within Evidence-Based Dentistryvmarnova
This document provides an overview of conducting literature searches to support evidence-based dentistry. It discusses different types of biomedical databases including bibliographic databases like PubMed and evidence-based practice databases like Cochrane. It also outlines the process of developing a focused clinical question, performing a systematic search of the relevant literature, and evaluating the levels of evidence found. The goal is to effectively apply the growing body of dental knowledge to clinical practice and improve patient outcomes.
The document provides guidance on conducting an effective search of the CINAHL database to answer a question about factors that influence control of postoperative pain in older patients. It outlines a 3-stage process: developing a search strategy using relevant concepts and keywords; searching databases using subject headings and keywords; and finding the full text of articles. Sample searches are demonstrated combining subject headings like "pain measurement" with keywords like "pain management" or "pain assessment". Tips are provided on using Boolean operators, truncation, phrase searching and limiting searches. The document concludes by assigning homework to search for specific subject terms in CINAHL.
The document provides guidance on conducting an effective search of the CINAHL database to answer a question about factors that influence control of postoperative pain in older patients. It outlines a 3-stage process: developing a search strategy using relevant concepts and keywords; searching databases using subject headings and keywords; and finding full text. Sample searches are demonstrated combining subject headings like "pain measurement" with keywords like "pain management" or "pain assessment". Tips are provided on using subject headings, keywords, wildcards and Boolean operators. The document stresses combining subject and keyword searches and limiting searches by date, age and other filters. It suggests practicing searches on topics like symptom distress, palliative care and cancer pain to refine skills.
The document provides guidance on conducting an effective search of the CINAHL database to answer a question about factors that influence control of postoperative pain in older patients. It outlines a 3-stage process: developing a search strategy using relevant concepts and keywords; searching databases using subject headings and keywords; and finding full text. Sample searches are demonstrated combining subject headings like "pain measurement" with keywords like "pain management" or "pain assessment". Tips are provided on using subject headings, keywords, wildcards and Boolean operators. The document stresses combining subject and keyword searches and limiting searches by date, age and other filters. It suggests practicing searches on topics like symptom distress, palliative care and cancer pain to refine skills.
Nursing Perspectives Nursing Research PowerPoint.pptAceTabiolo1
This chapter discusses nursing research and evidence-based practice, including defining nursing research, the evolution of nursing research, major organizations that fund nursing research, components of the research process, types of study designs, using research findings in practice, roles of nurse researchers, levels of evidence, critical appraisal of research, examples of evidence-based practices, and ethical issues related to research.
This document discusses additional research designs including meta-analysis, secondary data analysis, methodological studies, and outcome research. Meta-analysis statistically combines results from multiple studies on a shared research question. Secondary data analysis involves a new researcher analyzing data collected previously for a new research question. Methodological studies develop and test research instruments, while outcome research assesses the end results of care, services, or activities.
How predictive models help Medicinal Chemists design better drugs_webinarAnn-Marie Roche
All scientific disciplines, including medicinal chemistry, are experiencing a revolution in unprecedented rates of data being generated and the subsequent analysis and exploitation of this data is increasingly fundamental to innovation. Using data to design better compounds is a challenge for Medicinal and Computational chemists.
The design of small-molecule drug candidates, encompassing characteristics such as potency, selectivity and ADMET (absorption, distribution, metabolism, excretion and toxicity) is a key factor in the success of clinical trials and computer-aided drug discovery/design methods have played a major role in the development of therapeutically important small molecules for over three decades. These methods are broadly classified as either structure-based or ligand-based.
In this webinar our expert Dr. Olivier Barberan will discuss ligand-based methods and he will cover the following:
How to use only ligand information to predict activity depending on its similarity/dissimilarity to previously known active ligands.
- Discuss ligand-based pharmacophores, molecular descriptors, and quantitative structure-activity relationships and important tools such as target/ligand databases necessary for successful implementation of various computer-aided drug discovery/design methods in a drug discovery campaign.
Webinar: New RMC - Your lead_optimization Solution June082017Ann-Marie Roche
The document discusses Reaxys Medicinal Chemistry and how it supports hit-to-lead and lead optimization processes. It provides high quality data on topics like efficacy, ADMET properties, and animal models to help computational and medicinal chemists. The pX concept normalizes bioactivity measurements like IC50, Ki, and % inhibition into a single comparable metric, making it possible to compare compound affinity regardless of the metric reported. This allows researchers to more easily search for and analyze active compounds.
Oil&Gas Thought Leader Webinar - New Plays for Old Ideas - Dr.Gabor TariAnn-Marie Roche
In our April 2017 webinar, three industry experts shared their research and demonstrated the importance of focusing on fundamental geologic and geophysical research approaches that integrate variety of data, information and concepts from disparate sources and related disciplines.
This back-to-fundamentals research can both inspire and accelerate exploration teams’ thinking about petroleum systems and lead to a path to success.
Dr Gabor Tari is currently the Group Chief Geologist at OMV. He has over 20 years’ experience working in upstream oil & gas and has worked for Amoco, BP, and Vanco, before joining OMV in 2007. Gabor has worked on exploration projects in basins around the globe, including Romania, Angola, North Africa, and the Middle East. He has authored over 50 scientific publications, presented papers at dozens of conferences, and most recently co-authored the book Permo-Triassic Salt Provinces of Europe, North Africa and the Atlantic Margins, with Dr Joan Flinch (Repsol) and Juan Soto, Professor of Geodynamics in the Granada University and in the Instituto Andaluz de Ciencias de la Tierra, Spain, which is currently available from Elsevier for pre-order online.
Gabor discussed and shared some examples of how new plays can be built on a solid foundation of petroleum system development and research, and how new ideas can be garnered from building on published research of oil & gas companies, academia, service providers and consultants.
Oil&Gas Thought-Leader Webinar - New Plays for Old Ideas - Dr. Rob ForknerAnn-Marie Roche
In our April 2017 webinar, three industry experts shared their research and demonstrated the importance of focusing on fundamental geologic and geophysical research approaches that integrate variety of data, information and concepts from disparate sources and related disciplines. This back-to-fundamentals research can both inspire and accelerate exploration teams’ thinking about petroleum systems and lead to a path to success.
Dr Rob Forkner is a carbonate geologist at Statoil, working in the carbonate plays and reservoirs research group in Austin, Texas, focusing on carbonate play prediction in Atlantic margin systems. Prior to Statoil, Rob worked at Maersk and Shell in onshore and offshore in well planning, geosteering, high-resolution sequence stratigraphy and facies prediction, carbonate sedimentology in unconventional assets, evaporite classification and prediction, rock typing, and more recently, carbonate system suppression and recovery during Oceanic Anoxic Events.
Oil&Gas Thought-Leader Webinar - New Plays for Old Ideas - Dr. Sander HoubenAnn-Marie Roche
Dr. Sander Houben presented on combining paleoceanographic and exploration tools to study Early Jurassic anoxic events. He discussed how carbon isotopes can be used as a stratigraphic tool to analyze perturbations to the carbon cycle during these events. Palynological analysis of indicators of photic zone anoxia and chemocline migration provided insight into changes in water column ecology. A case study of the Toarcian OAE and Posidonia Shale Formation showed how isotopic analyses revealed a major increase in export of hydrogen-rich organic matter due to intensified primary productivity by diazotrophs under low oxygen conditions. Paleoceanographic observations combined with an exploration geology perspective provided understanding of the formation of
Embase for pharmacovigilance: Search and validation March 22 2017Ann-Marie Roche
Scientific literature plays a critical role in Pharmacovigilance and Drug Safety workflows. Monitoring literature for mentions of adverse drug reactions (ADRs) is mandated by regulatory bodies, and marketing authorization holders (MAHs) that do not properly report ADRs can be subject to heavy fines. With an increasing volume of unstructured content to cover, along with rising labor costs, MAHs are looking for ways to make their literature monitoring more effective and efficient.
Abstract and indexing (A&I) databases play an important role in Literature Monitoring – due to the vast amount of scientific literature published daily – in order for MAH’s to locate specific articles or conference presentations that may be relevant for their products (for both benefit/risk analysis and ADR detection). Rather than reading all the literature, MAH’s create search strategies that identify the relevant records in A&I databases and execute the searches regularly. GVP module VI mandates that searches are done at least weekly, but many companies maintain a daily monitoring and review cycle.
In this webinar, Senior Product Development Manager Embase, Dr. Ivan Krstic discussed best practices for saving time, staying current, validating search strategies and mitigating risk in the face of these increasingly complex processes in literature monitoring
Literature Management for Pharmacovigilance: Outsource or in-house solution? ...Ann-Marie Roche
Pharmaceutical companies are required to screen scientific literature on a regular basis and this comes with many challenges, such as handling large amounts of data, building search strings and integrating EMA MLM results. Out-sourcing literature screening to service providers reduces the workload for the PV-team, but how does it impact the literature management process overall? Maybe it results in decreased oversight and additional activities like audits and reconciliation? And what about building the search strategy?
During this webinar our PV expert, Dr. Joyce De Langen spoke about the following:
• The importance of literature management in Pharmacovigilance and the challenges.
• An evaluation of the benefits and risks of outsourcing literature management versus alternative solutions.
About the speaker:
Joyce de Langen, Ph.D has more than 10 years of experience in the domain of pharmacovigilance and drug safety. Through her work in the pharmaceutical industry, academia and regulatory authorities, Joyce has developed a broad perspective and knowledge in pharmacovigilance and drug safety.
Finding the right medical device information in embase 11 2016Ann-Marie Roche
The document discusses guidelines for systematic reviews of biomedical literature in Clinical Evaluation Reports (CERs) for medical devices, highlighting how Embase addresses the requirements through its comprehensive indexing of devices, manufacturers, and adverse effects, as well as features for building sensitive searches. It also provides examples of searches in Embase to find information on device clinical performance, comparisons, and safety for a case study on an everolimus eluting coronary stent.
The document discusses medical device adverse event reporting requirements, including definitions of reportable events and timelines for submitting reports to regulatory agencies. It provides an overview of the classification system for medical devices and regulations around reporting malfunctions, deaths and serious injuries caused by devices. Reporting requirements and challenges involving software as a medical device are also reviewed.
The All-New 2016 Engineering Academic Challenge - developed by students for students
The Engineering Academic Challenge (formerly as the Knovel Academic Challenge) is an immersive, 5-week interactive problem-set competition, featuring weekly thematic engineering challenges built around five transdisciplinary themes inspired by the National Academy of Engineering Grand Challenges.
Literature monitoring for pv what are we doing at galderma elsevier webinarAnn-Marie Roche
The document discusses literature monitoring for pharmacovigilance. It describes weekly monitoring of individual case safety reports and periodic monitoring through development safety update reports and periodic benefit-risk evaluation reports. Key databases for literature searches are Medline and Embase. While Embase has more extensive drug coverage, searches on Medline via PubMed are more reliable due to the potential for loss of MeSH subheadings when mapping to Emtree and the risk of false negatives and positives when searching Embase alone. Literature searches support signal detection and periodic evaluation of a product's safety profile.
This document discusses how drug analytics based on manually extracted semantic relationships in Embase can be useful for drug development, repurposing, and safety. It describes how relationships between drugs, diseases, and adverse reactions that are manually indexed can provide valuable information for drug repurposing, development, and safety. Specific examples are provided to show how the semantic relationships can guide drug repositioning strategies, investigate new combination drugs, identify drug-drug interactions, collect drug comparison data, and help improve risk management.
This document discusses Lean Six Sigma and resources available through Knovel to support Lean Six Sigma implementation. It provides an overview of the Lean Six Sigma implementation process including strategic leadership and vision, deployment planning, and execution and results. It describes Knovel's Lean Six Sigma resources such as handbooks, case studies, templates, and guides covering tools like DMAIC, DOE, SPC etc. that can help with the different belts and project phases from Define to Control. Other resources discussed include those for Design for Six Sigma and practical applications/case studies.
Reaxys provides a unified information portal that integrates data from multiple chemistry sources through a single interface. It links chemistry data, structures, citations, and full-text articles. Reaxys also integrates in-house data from sources like electronic lab notebooks through its API and can be used for activities like compound screening, literature searching, and patent analysis to support drug discovery.
Phil Lorenzi discusses pathway analysis approaches and their uses in biomedical research and drug development. He compares strategies for analyzing the autophagy and apoptosis pathways, finding that integrating multiple methods provides the most comprehensive understanding. Lorenzi also provides examples of how pathway analysis could have predicted problems with COX-2 inhibitors and helped explain past failures of AKT inhibitors. He concludes that pathway analysis is consistent with approvals of EGFR, MEK, RANKL and PARP inhibitors and may support development of GLS inhibitors.
Searching literature databases for post authorisation safety studies (pass)Ann-Marie Roche
This document discusses using literature databases like Embase to conduct post-authorization safety studies (PASS) through systematic literature reviews and meta-analyses. It provides an example PASS on the drug brentuximab vedotin that identified adverse events like peripheral neuropathy and infections. The document reviews how to structure a literature search using the PICO framework and Embase's in-depth indexing of concepts, relationships, and causality to comprehensively identify safety outcomes reported for a drug.
Julie glanville embase sunrise seminar may 2016Ann-Marie Roche
Simple text mining tools can help Embase users in several ways:
- Frequency analysis of terms in records can identify useful search terms and concepts to explore. Tools like EndNote and Voyant allow viewing frequencies of words in titles, abstracts, and subject headings.
- Phrase analysis identifies common word combinations or concepts in the text, beyond single words. Voyant and TERMINE are useful for this.
- Word collocation analysis shows which words frequently occur near each other, suggesting relationships between ideas. The Voyant collocates tool supports this.
- Cluster and network visualizations identify major themes or concepts within a set of records. VOSviewer creates visual maps of related terms.
Exploring records
Ian crowlesmith embase retrospective mla 2016Ann-Marie Roche
Embase began in 1946 as Excerpta Medica, founded to provide medical abstracts. It was acquired by Elsevier in 1971 and became available online in 1978. Key developments included introducing a controlled vocabulary called Emtree in 1987 and adding item types and check tags for evidence-based medicine in 1990. Currently, Embase indexes articles in great depth using natural language and extensively covers drugs and devices. The taxonomy Emtree is regularly updated to reflect new terms.
The document provides an update on new features and enhancements to Embase.com. Key points include:
- The addition of a new PICO search page that allows users to build clinical searches by splitting questions into Patient, Intervention, Comparison, and Outcome elements.
- Other enhancements include improved search tips, the ability to add synonyms and view all abstracts, as well as analytics capabilities for drug safety and repurposing based on triple indexing of content.
- Future plans include improvements to content, taxonomy, and indexing as well as a revamp of the search platform interface and functionality.
This document discusses upcoming changes to process safety management (PSM) regulations and standards. It notes several major industrial accidents in recent decades that prompted reforms. New PSM requirements in California will likely be adopted more widely and require more prescriptive tasks, reporting, and accountability. To ensure future PSM success, the document recommends: making no distinction between internal/external compliance; expanding the definition of mechanical integrity; understanding "double jeopardy"; not replacing investigations with management of change; knowing what the operations team is doing; and clarifying teamwork expectations regarding stop work authorizations.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
The chapter Lifelines of National Economy in Class 10 Geography focuses on the various modes of transportation and communication that play a vital role in the economic development of a country. These lifelines are crucial for the movement of goods, services, and people, thereby connecting different regions and promoting economic activities.
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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16. Human Emtree 2010 Emtree 2011 Previously: Limited to humans as experimental subjects. From 2011: Includes items reporting (for example) the training of medical staff (i.e. even though they are not regarded as “experimental” subjects).
17. Clinical trial Definition: Used for original reports of prospective clinical studies in which the (comparative) efficacy of one or more medical interventions in humans is evaluated; also used for prospective clinical veterinary trials in which the (comparative) efficacy of one or more medical interventions in animals is evaluated. Previously: This check tag was limited to use in human studies. From 2011: It now includes veterinary clinical trials.
18. Diagnostic Test Accuracy Study Definition:Used for original studies or systematic reviews which assess how accurately a test distinguishes humans or animals having a condition or disease from those who do not. Typically, the test under evaluation is called the index test and its results are compared to the results of the best. Previously: Did not exist From 2011: This is a new check tag and unique to Embase
Content is key/backbone for Embase(Over 360k conference abstracts)Continue to focus to building up content but also on enhancing functionality and indexing/quality.
Bullets in the boxes
Condense
From 2011: Users will consistently search all Embase with the current Emtree (preferred terms/synonyms, including explosion searching)Backposting entails all older records being reloaded so that their indexing is consistent with the new Emtree (2011). This means that you will be able to search all Embase with Emtree 2011 PTs /synonyms and get comprehensive retrieval, including in explosion searches, even for records indexed with candidate terms which have since been incorporated into Emtree. If you want an example see my email of 5 May last week copied to you last week (How badly do we need backposting?) in which I provided these examples:2010: I checked this using test term tocilizumab, which replaced atlizumab in 20102011: I will check after they have loaded Emtree 2011 (mid-May): test term cositecan will replace karenitecinSo after the reload cositec/de will have the same results as karenitecin/de (and all the results will be included in an explosion search using any of the BTs ofcositec)
Bullets in the boxes
Previously: 10 “study type” check tags (for example, clinical trial) were used in Embase for ALL items that were about the study type, as well as for original reports of clinical trials etc.
Old and new Emtree treeClinical trials ChangesAs from 2011, clinical trial is used to index prospective clinical veterinary trials.Before 2011, clinical trial was limited to human studies only. Search tipsLimit clinical trial using human to ensure only human studies are retrieved.A small number (<3%) of clinical trials indexed before 2011 are non-human. This is attributable to the Medline content of Embase.
Diagnostic test accuracy studies ChangesThe new check tag diagnostic test accuracy study was introduced in 2011Before 2011, such studies could only be searched indirectly (e.g. with terms such as diagnostic accuracy) Search tipsAs from 2011, use the check tag diagnostic test accuracy study to find studies which assess how accurately tests distinguish humans or animals which have a condition or disease from those who do not (see scope note). This has been indexed 3000 times from January-May 2011.To extend retrieval to all studies on diagnostic accuracy, also search using the term diagnostic accuracy.
Bullets in the boxes
New folder structure and privacy rights. It is now not allowed to save a search in a public folder (previously my institution), which contains a reference to a search in a private folder. So they must be fully in private or public, and NOT in both. Right now they can be in both which is an obstacle for sharing, as it looks to be a public search but then only the owner of the private folder will be able to work with the query. Now the user will see a warning if they try to save a search in this way. It is not allowed. There is now no crossover between the folders, and a clear divide between public and private. Improved look and feel – new icons, and private folders now have locks.
A search strategy is any search made up of one or more queries. From the results screen. When you select a search,( here no.6), all related searches are identified (blue check mark). This can then be saved as a strategy by clicking on save. Add naming and searching…
In saved search folders the strategy is saved not as a flattened query but with all the steps comprising the strategy broken down, exactly as they were in session results. The user then has a number of possible actions form the drop down menu (rerun, alert, edit). The updated hit count can be previewed in saved searches, or for more details you can go straight to the results screen.
The user then has a number of possible actions form the drop down menu (rerun, alert, edit). The updated hit count can be previewed in saved searches, or for more details you can go straight to the results screen.