The document discusses the ASSERT framework for evaluating the ethical conduct of clinical trials. It begins by defining some common reporting guidelines for different types of research studies. It then explains that ASSERT proposes a structured approach for reviewing trial proposals to ensure they meet standards for scientific and ethical review. The document outlines the key requirements for ethical clinical research, provides sample ASSERT checklists, and notes that ASSERT has now been incorporated into the SPIRIT guideline for clinical trial protocols. It cautions that ASSERT is intended for protocol review rather than reporting trial results.
What do you need to know before and while working on a clinical trial? This slide deck tells you more about the things you need to remember when preparing to publish your clinical trial, from developing a research protocol and getting informed consent from study participants to registering your trial and preparing a clinical trial manuscript.
Providing a course that is relevant, practical and patient-centered that will positively impact the speed in which entry-level oncology specialists integrate into the oncology practice setting.
June Lee, MD, Director of CTSI's Early Translational Research program, presents the goals and vision for the program. Learn more about June Lee at UCSF Profiles http://profiles.ucsf.edu/ProfileDetails.aspx?From=SE&Person=5208624
What do you need to know before and while working on a clinical trial? This slide deck tells you more about the things you need to remember when preparing to publish your clinical trial, from developing a research protocol and getting informed consent from study participants to registering your trial and preparing a clinical trial manuscript.
Providing a course that is relevant, practical and patient-centered that will positively impact the speed in which entry-level oncology specialists integrate into the oncology practice setting.
June Lee, MD, Director of CTSI's Early Translational Research program, presents the goals and vision for the program. Learn more about June Lee at UCSF Profiles http://profiles.ucsf.edu/ProfileDetails.aspx?From=SE&Person=5208624
Prof. Todor (Ted) A. Popov - 6th Clinical Research ConferenceStarttech Ventures
Ομιλία - Παρουσίαση: Prof. Todor (Ted) A. Popov, Professor of Medicine, Medical University in Sofia, Chairman of the Bulgarian Ethics Committee for Multicenter Studies
Τίτλος Παρουσίασης: «Do databases around the world speak the same language?»
Regulatory Medical Writing: The Challenges of Writing Patient Narratives Cognibrain Healthcare
Patient/Safety narratives are important documents of clinical study reports writing and pharmacovigilance activities. They are written to report deaths, serious adverse events, adverse events of special clinical interest, and any such events in a clinical trial of the drug.
APPRAISAL OF GUIDELINES FOR RESEARCH & EVALUATION (AGREE) II Instrument: Assessment of the Quality of Clinical Practice Guidelines.
A training workshop presented to the healthcare professionals (i.e. physicians, nurses, pharmacists, technicians,...etc.) of King Khalid University Hospital, King Saud University in Riyadh, Saudi Arabia in August 2014.
I present my highest gratitude to all of my professors and colleagues who have and still inspire me.
Namely, Prof. Mahmoud El-Zalabany, Prof. Tarek Omar, Prof. Nabil Dowidar and Prof. Afaf Ibrahim (Alexandria Univ., EG), Prof. Abdelhamid Attia (Cairo Univ., EG), Prof. Lubna Al-Ansary, Dr. Hayfaa Wahbi, Dr. Rasmieh Alzeidan (King Saud Univ., KSA), Prof. David Sackett and Dr. Melissa Brouwers (McMaster Univ., CAN)
Improving Inclusion/Exclusion Criteria for Clinical TrialsBrook White, PMP
Adherence to inclusion and exclusion criteria is essential to the successful execution of a clinical trial. Deviations from these criteria must be avoided because they can jeopardize scientific integrity, regulatory acceptability, or the safety of subjects in the study. This presentation provides suggestions and advice on formulating inclusion and exclusion criteria to enhance the quality of subject selection, minimize protocol violations, and avoid protocol amendments.
Methods Pyramids as an Organizing Structure for Evidence-Based Medicine--SIGC...jodischneider
Keynote talk 2020-08-01 for the JCDL Workshop on Conceptual Models: https://sig-cm.github.io/news/JCDL-2020-CFP/
Discussion points:
* Methods are a key part of the Knowledge Organizing Structure for Evidence-Based Medicine.
* Methods relate to how we GENERATE evidence.
* Different methods generate evidence of different kinds and strength.
* I believe Methods can be useful in mining claims and arguments from papers: methods AUTHORIZE claims.
* More specialized hierarchies of evidence can be found in medicine
* Various groups are complicating the “evidence pyramid” hierarchy of evidence.
The Translational Medicine Ontology: Driving personalized medicine by br...Michel Dumontier
The Translational Medicine Ontology provides terminology that bridges diverse areas of translational medicine including hypothesis management, discovery research, drug development and formulation, clinical research, and clinical practice. Designed primarily from use cases, the ontology consists of essential terms that are mapped to other ontologies. It serves as a global schema for data integration while simultaneously facilitating the formulation of complex queries across heterogeneous sources. We demonstrate the utility of the ontology through question answering over a prototype knowledge base composed of sample patient data integrated with linked open data. This work forms a basis for the development of a computational platform for managing information relevant to personalized medicine.
Reasons for conducting clinical trialsJohn Douglas
To explain in simple terms, a clinical trail is a research in human volunteers to answer certain health questions. Carefully conducted clinical trails are the quickest and safest way to discover new treatment
methods that work in people and enhance their health.
Prof. Todor (Ted) A. Popov - 6th Clinical Research ConferenceStarttech Ventures
Ομιλία - Παρουσίαση: Prof. Todor (Ted) A. Popov, Professor of Medicine, Medical University in Sofia, Chairman of the Bulgarian Ethics Committee for Multicenter Studies
Τίτλος Παρουσίασης: «Do databases around the world speak the same language?»
Regulatory Medical Writing: The Challenges of Writing Patient Narratives Cognibrain Healthcare
Patient/Safety narratives are important documents of clinical study reports writing and pharmacovigilance activities. They are written to report deaths, serious adverse events, adverse events of special clinical interest, and any such events in a clinical trial of the drug.
APPRAISAL OF GUIDELINES FOR RESEARCH & EVALUATION (AGREE) II Instrument: Assessment of the Quality of Clinical Practice Guidelines.
A training workshop presented to the healthcare professionals (i.e. physicians, nurses, pharmacists, technicians,...etc.) of King Khalid University Hospital, King Saud University in Riyadh, Saudi Arabia in August 2014.
I present my highest gratitude to all of my professors and colleagues who have and still inspire me.
Namely, Prof. Mahmoud El-Zalabany, Prof. Tarek Omar, Prof. Nabil Dowidar and Prof. Afaf Ibrahim (Alexandria Univ., EG), Prof. Abdelhamid Attia (Cairo Univ., EG), Prof. Lubna Al-Ansary, Dr. Hayfaa Wahbi, Dr. Rasmieh Alzeidan (King Saud Univ., KSA), Prof. David Sackett and Dr. Melissa Brouwers (McMaster Univ., CAN)
Improving Inclusion/Exclusion Criteria for Clinical TrialsBrook White, PMP
Adherence to inclusion and exclusion criteria is essential to the successful execution of a clinical trial. Deviations from these criteria must be avoided because they can jeopardize scientific integrity, regulatory acceptability, or the safety of subjects in the study. This presentation provides suggestions and advice on formulating inclusion and exclusion criteria to enhance the quality of subject selection, minimize protocol violations, and avoid protocol amendments.
Methods Pyramids as an Organizing Structure for Evidence-Based Medicine--SIGC...jodischneider
Keynote talk 2020-08-01 for the JCDL Workshop on Conceptual Models: https://sig-cm.github.io/news/JCDL-2020-CFP/
Discussion points:
* Methods are a key part of the Knowledge Organizing Structure for Evidence-Based Medicine.
* Methods relate to how we GENERATE evidence.
* Different methods generate evidence of different kinds and strength.
* I believe Methods can be useful in mining claims and arguments from papers: methods AUTHORIZE claims.
* More specialized hierarchies of evidence can be found in medicine
* Various groups are complicating the “evidence pyramid” hierarchy of evidence.
The Translational Medicine Ontology: Driving personalized medicine by br...Michel Dumontier
The Translational Medicine Ontology provides terminology that bridges diverse areas of translational medicine including hypothesis management, discovery research, drug development and formulation, clinical research, and clinical practice. Designed primarily from use cases, the ontology consists of essential terms that are mapped to other ontologies. It serves as a global schema for data integration while simultaneously facilitating the formulation of complex queries across heterogeneous sources. We demonstrate the utility of the ontology through question answering over a prototype knowledge base composed of sample patient data integrated with linked open data. This work forms a basis for the development of a computational platform for managing information relevant to personalized medicine.
Reasons for conducting clinical trialsJohn Douglas
To explain in simple terms, a clinical trail is a research in human volunteers to answer certain health questions. Carefully conducted clinical trails are the quickest and safest way to discover new treatment
methods that work in people and enhance their health.
Enhancing the quality and transparency of health research: Introducing the PR...Thomas Bandholm
This lecture was held September 14 in Aalborg, Denmark at a PhD Forum (symposium). I hope you find it useful. Kind regards Thomas Bandholm (Twitter@TBandholm).
Operational research is becoming important in real world setting of health care as it always tried to find out challenges or gaps in any health related issues or in program. For health program improvement, OR should be conducting frequently. Program manager and doctors should be involve in OR and encourage to do so.
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.
Evidence based dentistry, public health , Prosthodontics and EBD,
history of ebd steps, evidence based medicine,evidence based practise. steps in ebd. advantages ,disadvantages, limitations.
prosthodontic considerations.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
3. LEARNING OBJECTIVES
What is Assert
Introduction to Assert
Conduct of Trials
Requirement for Ethical Conduct Of Clinical
research
Assert Checklists
Assert association with Consort
SPIRIT
Cautions and Limitations(including Scope)
4. SOME TERMS
CONSORT (CONsolidated Standards Of Reporting Trials)
STRICTA (STandards for Reporting Interventions in Clinical Trials of
Acupuncture)
TREND (Transparent Reporting of Evaluations with
Nonrandomized Designs)
STROBE (STrengthening the Reporting of OBservational studies in
Epidemiology)
STARD (STAndards for Reporting of Diagnostic Accuracy Studies)
SURGE (The SUrvey Reporting GuidelinE)
PRISMA (Preferred Reporting Items for Systematic Reviews and
Meta-Analyses)
5. WHAT IS ASSERT
This statement is the articulation of
A - A
S - Standard (for the)
S - Scientific (and)
E - Ethical
R - Review (of)
T - Trials
It proposes a structured approach
Howard Mann, M.D.
Program Associate, Division of Medical Ethics and Humanities, University of Utah School of Medicine, Salt Lake City, Utah
6. INTRODUCTION TO ASSERT
It represents a Declaration and
Elaboration of the necessary
requirements for the Ethical conduct of
human subject research in the form of
Randomized Controlled Clinical Trials
A proposal intended to operationalize these
percepts in the context of review of proposals for
trials by RESEARCH ETHIC COMMITTES
7. CONDUCT OF CLINICAL TRIALS
Each years Thousands of RCT ( Randomized controlled
trials) are performed worldwide
Theses involves
1- Marketed drugs or investigational agents
( active agent or placebo)
2- Other Medical interventions
( Surgical procedures and radiation therapy)
So the results of clinical trials are of considerable importance in many
interrelated health care contexts
Guidance for Industry. Providing Clinical Evidence of Effectiveness for Human Drug and Biological Products.
F.D.A. May 1998.
8. REQUIREMENT
In year 2000 few of the researchers enumerated
SEVEN universally applicable requirements for the
Ethical Conduct of Clinical Research
1- Social and scientific value
2- Scientific validity
3- Fair subject selection
4- Favorable risk benefit ratio
5- Independent review
6- Informed consent
7- Respect for potential and current research subject
Emanuel EJ, Wendler D, Grady C. What makes clinical research ethical? JAMA 2000; 283:2701-2717
14. ASSERT ASSOCIATION WITH CONSORT
The ASSERT checklist is modeled
directly on the CONSORT concept of
identifying and elaborating on specific
items known to be crucial in evaluating
the reports of controlled trials
Guidelines for Reporting Health Research: A User’s Manual
16. The ASSERT statement is no longer under
development
It has been included into the
SPIRIT(Standard Protocol Items :
Recommendations for Interventional Trials)
17. SPIRIT
The SPIRIT statement contain
guidance for authors of
protocols for randomized and
non randomized clinical trials
18. SPIRIT IS A 33 ITEMS CHECKLIST
Which further divided into 5 broad sections
1- Covering Administrative Information
(5 items)
2- The Introduction (3 items)
3- Methods (15 items)
4- Ethics and Dissemination (8 items)
5- Appendices (2 items)
19. Extensions or implementations
No extensions or implementations of SPIRIT 2013
have been published to date.
However, a similar initiative is under development for
protocols of systematic reviews – the PRISMA-P statement
The PRISMA-P statement aims to help authors
draft protocols of systematic reviews (item 5,
PRISMA checklist) and to facilitate their registration
PROSPERO
20. CAUTIONS AND LIMITATIONS(INCLUDING SCOPE)
1- It is not a tool to help reader asses the quality of
clinical trial protocols
2- It is also not intended to be used for reporting a
completed clinical trial
( author should use CONSORT 2010)
3- It is the minimum standard that is broadly
applicable to all types of clinical trials regardless of
study design, intervention or topic