Search results “Systematic vs meta analysis review”
Intro to Systematic Reviews & Meta-Analyses
Here's a brief introduction to how to evaluate systematic reviews.
Views: 149990 Rahul Patwari
Systematic Review and Meta analysis - All you ever need to know
Meta analysis is a very common way of bringing together data to help us decide which treatments might be best. BUT, you have to take care when interpreting them - there's a lot more to it than just looking which side of the line the little black diamond is on! How do you construct a search for a systematic review?Can you trust the result of a meta analysis? How do you know if it has been done well? How to recognise different kinds of bias, how to interpret a forest plot, and funnel plot and a bubble plot. What is the I squared statistic and what does it tell you about the data and how much to trust the result? These and many more things to do with these common but complex analyses is explained by Brett Doleman, statistical guru!
Views: 13891 school of surgery
Systematic Reviews and Meta-Analyses - How to Interpret the Results
In this video, I go over how to interpret the results of a meta-analysis.
Views: 41142 Tara Bishop MD
What are systematic reviews?
Summary: This video explains why systematic reviews are important and how they are done. This includes an explanation of how the effects of interventions are compared in order to provide evidence. Attribution/credits: Prepared by the Cochrane Consumers and Communication Group, La Trobe University and generously support by Cochrane Australia. Written by Jack Nunn and Sophie Hill. cccrg.cochrane.org. Animation by Shakira Moss, Doodler Animation - doodler.com.au
Views: 99230 Cochrane
Systematic Reviews and MetaAnalysis
More info on www.amzn.to/1XhxciA
An Introduction to Reading Systematic Reviews and Meta-Analyses
In this video, I go over the basics of systematic reviews.
Views: 1072 Tara Bishop MD
What is META-ANALYSIS? What does META-ANALYSIS mean? META-ANALYSIS meaning & explanation
What is META-ANALYSIS? What does META-ANALYSIS mean? META-ANALYSIS meaning - META-ANALYSIS definition - META-ANALYSIS explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. The basic tenet of a meta-analysis is that there is a common truth behind all conceptually similar scientific studies, but which has been measured with a certain error within individual studies. The aim in meta-analysis then is to use approaches from statistics to derive a pooled estimate closest to the unknown common truth based on how this error is perceived. In essence, all existing methods yield a weighted average from the results of the individual studies and what differs is the manner in which these weights are allocated and also the manner in which the uncertainty is computed around the point estimate thus generated. In addition to providing an estimate of the unknown common truth, meta-analysis has the capacity to contrast results from different studies and identify patterns among study results, sources of disagreement among those results, or other interesting relationships that may come to light in the context of multiple studies. Meta-analysis can be thought of as "conducting research about previous research." Meta-analysis can only proceed if we are able to identify a common statistical measure that is shared among studies, called the effect size, which has a standard error so that we can proceed with computing a weighted average of that common measure. Such weighting usually takes into consideration the sample sizes of the individual studies, although it can also include other factors, such as study quality. A key benefit of this approach is the aggregation of information leading to a higher statistical power and more robust point estimate than is possible from the measure derived from any individual study. However, in performing a meta-analysis, an investigator must make choices many of which can affect its results, including deciding how to search for studies, selecting studies based on a set of objective criteria, dealing with incomplete data, analyzing the data, and accounting for or choosing not to account for publication bias. Meta-analyses are often, but not always, important components of a systematic review procedure. For instance, a meta-analysis may be conducted on several clinical trials of a medical treatment, in an effort to obtain a better understanding of how well the treatment works. Here it is convenient to follow the terminology used by the Cochrane Collaboration, and use "meta-analysis" to refer to statistical methods of combining evidence, leaving other aspects of 'research synthesis' or 'evidence synthesis', such as combining information from qualitative studies, for the more general context of systematic reviews.
Views: 9783 The Audiopedia
What is Heterogeneity?
Systematic reviewers have to decide whather or not studies are homogeneous enough to combine. This video will describe what heterogeneity is and some of the tests used to investigate it.
Views: 75635 Terry Shaneyfelt
Systematic Reviews and Meta-Analysis
Presented by Michael Glantz, MD Published as a resource for neurosurgeons by the Neurosurgery Research and Education Foundation (NREF) and the American Association of Neurological Surgeons (AANS). Recorded at the AANS/NREF Science of Neurosurgical Practice course.
Views: 1011 NREF
Dr. Dieuwke Broekstra "A systematic review and meta-analysis" 2015 Dupuytren Symposium
Dr. Dieuwke Broekstra presents "A systematic review and meta-analysis on the association between Dupuytren disease and diabetes" at the 2015 International Symposium on Dupuytren Disease in Groningen, The Netherlands.
narrative vs systematic
Views: 2234 Mark Gussy
Systematic reviews and meta analysis
Views: 280 debdavis5
Systematic Reviews
Director General of Research and Development at the Department of Health talks about the importance of systematic reviews funded by the National Institute of Health Research.
Views: 7038 NIHRtv
1 What is meta-analysis?
What is a meta-analysis? This tutorial walks you through the basic concepts.
Views: 18638 MetaLab
Meta analysis - learn how to interpret - quickly
All you need to know about how to interpret the results of a meta analysis in 14 minutes and 15 seconds. If you find yourself in an exam and asked to review a meta analysis in an interview or an exam, or even if you're reading one in a journal to inform your clinical practice, this will be the best 1/4 hour you have spent in ages. If you want a more detailed explanation and to properly understand the process, then download our other podcast about meta analysis, which gives the background to all you see here. With Brett Doleman and Jon Lund
Views: 10055 school of surgery
Systematic Review and Evidence-Based Medicine
You've probably heard of "evidence-based medicine". It's the idea that we practice based on research and data. There's another way of practicing called "eminence-based medicine". It's the idea that we listen to the person who's been around the longest or who has somehow managed to be labelled the expert. It used to be that such a person would periodically get to write a review article in some journal, and that would be how everyone learned what to do in medicine. That's a problem. We've got a solution. Systematic reviews! For those of you who want to read more or see references, look here: http://theincidentaleconomist.com/wordpress/?p=57771 John Green -- Executive Producer Stan Muller -- Director, Producer Aaron Carroll -- Writer Mark Olsen -- Graphics http://www.twitter.com/aaronecarroll http://www.twitter.com/crashcoursestan http://www.twitter.com/realjohngreen http://www.twitter.com/olsenvideo
Views: 55549 Healthcare Triage
PubMed: Finding systematic reviews and meta-analyses
Finding systematic reviews and meta-analyses in PubMed using the database's filters
Views: 890 gleesonlibraryusf
Systematic Review vs Meta Analysis -HQ
Define literature review “Traditional” or Regular Systematic Characteristics of a “systematic review” Differentiate between two of the systematic reviews
Views: 729 jamgupv
Library Tutorials: Systematic Reviews & Meta-Analysis
Ansley Stuart, Allied Health Sciences Librarian, presents on the systematic review and meta-analysis process.
Views: 62 Augusta University
Systematic reviews and meta-analysis (Allen and Dusin)
Nancy Allen and Jarrod Dusin discuss the process for doing a systematic review of the literature with meta-analysis. Held on Sept 1, 2017.
Systematic Review & Meta-Analysis Practical Methods Outline
This video describes the basic outline of planning and conducting a systematic review and meta-analysis. Dr. Fares Alahdab Subscribe for more!
Views: 52 Fares Alahdab
Systematic Reviews and Meta-Analyses: The Importance of the Literature Search
A rigorous systematic review begins with an exhaustive, systemtic literature search. This video describes the components to look for in the methodology section of a systematic review and/or meta-analysis that show the review is based on a high quality literature search.
What are Systematic Reviews? by Professor Helen Worthington
A systemic review is a concise summary of all the best evidence on a specific question. Systematic reviews are scientific investigations in their own right and are frequently as demanding as conducting primary research. For more methods resources see: http://www.methods.manchester.ac.uk
Views: 8567 methodsMcr
Critical appraisal of systematic review and meta-analysis - intro - 5
Critical appraisal of systematic review and meta-analysis - intro
Views: 142 Kavitha Raja
Types of Reviews
This video describes what a literature review is as well as the main features of three types of reviews: Narrative reviews, systematic reviews, and scoping reviews
Conducting a Systematic Literature Review
The distinction between a systematic literature review and a literature review can often be confusing. This video distinguishes between the two and summarizes the process involved in conducting a systematic literature review in the context of a major research paper. This video features the song Little Candle by Stefan Kartenberg featuring Admiral Bob available under a Creative Commons license at http://dig.ccmixter.org/files/JeffSpeed68/55222. The music has been modified to fit the length of this video.
Views: 36951 Research Shorts
Systematic Reviews
The difference between a systematic review and a standard literature review How to locate different review articles in PubMed Introduce the Cochrane Database of Systematic Reviews
Views: 4699 Norris Lib
NCCMT - URE - Types of Reviews - What kind of review do we need
Do you know when to use different types of reviews in public health decision making? Do you know the differences between a literature review, a systematic review, and a meta-analysis? Using an imaginary campaign to promote of healthy eating among adolescents as an example, this video describes how these reviews are created. You will see why combining findings from studies gives you a more accurate and generalizable understanding of what to expect from an intervention. Systematic reviews combine relevant research studies in a systematic way to answer a specific research question with minimal bias. They tell you whether or not an intervention is effective. Meta-analyses are similar to systematic reviews, but go one step further: they provide a numerical summary of the combined findings. In addition to whether or not an intervention works, meta-analyses can tell you the size of the intervention effect. Literature reviews, on the other hand, summarize multiple studies without using a systematic process for identifying, including, or combining studies. This type of review can lead to biases in the summary. Different types of reviews can affect how much confidence you can have in the findings. There can be thousands of single studies that each look at small portions of the population. Systematic reviews and meta-analyses can provide information based on all available studies making them powerful aids for evidence-informed decision making in public health. The National Collaborating Centre for Methods and Tools is funded by the Public Health Agency of Canada and affiliated with McMaster University. The views expressed herein do not necessarily represent the views of the Public Health Agency of Canada. NCCMT is one of six National Collaborating Centres (NCCs) for Public Health. The Centres promote and improve the use of scientific research and other knowledge to strengthen public health practices and policies in Canada.
Views: 4532 The NCCMT
The Steps of a Systematic Review
Wondering how to conduct a systematic review? This explainer video from The Evidence Synthesis Academy at Brown University walks you through the basic steps.
Systematic Review and Meta-Analysis of Animal Studies - Osama Abunar
SYRCLE: https://www.radboudumc.nl/en/research/radboud-technology-centers/animal-research-facility/systematic-review-center-for-laboratory-animal-experimentation CAMARADES: http://syrf.org.uk/ PROSPERO: https://www.crd.york.ac.uk/prospero/ Facebook profile: https://www.facebook.com/osama.abunar Example: Meta-Analysis and Systematic Review of Neural Stem Cells therapy for experimental ischemia stroke in preclinical studies https://www.nature.com/articles/srep32291
Views: 246 Osama Abunar
Meta analysis in Stata
This lecture is part of the Systematic Reviews course that teaches undergraduate students, PhD students and researchers how to build a systematic review or meta-analysis. Don’t hesitate to contact me for help with your review, to conduct a systematic review or meta-analysis or to organise a course on your location. Enjoy the course! Maurice Zeegers (www.systematicreviews.nl)
Views: 1946 Maurice Zeegers
CINAHL: Finding systematic reviews and meta-analyses
Tips on finding systematic reviews or meta-analyses in the CINAHL database
Views: 558 gleesonlibraryusf
Medical Library Association - Overview of Systematic reviews and Meta-analysis - Jehad Almasri, MD
This short video is providing an introduction to the systematic reviews and meta-analysis and their rationales in an easy straightforward way.
Views: 443 Jehad Almasri
PRISMA Methods Systematic Review of Diagnostic Studies
This lecture is part of the Systematic Reviews course that teaches undergraduate students, PhD students and researchers how to build a systematic review or meta-analysis. Don’t hesitate to contact me for help with your review, to conduct a systematic review or meta-analysis or to organise a course on your location. Enjoy the course! Maurice Zeegers (www.systematicreviews.nl)
Views: 142 Maurice Zeegers
Cohort, Case-Control, Meta-Analysis, Cross-sectional Study Designs & Definition
http://www.stomponstep1.com/cohort-case-control-meta-analysis-cross-sectional-study-designs/ Based on the types of bias that are inherent in some study designs we can rank different study designs based on their validity. The types of research studies at the top of the list have the highest validity while those at the bottom have lower validity. In most cases if 2 studies on the same topic come to different conclusions, you assume the trial of the more valid type is correct. However, this is not always the case. Any study design can have bias. A very well designed and executed cohort study can yield more valid results than a clinical trial with clear deficiencies. • Meta-analysis of multiple Randomized Trials (Highest Validity) • Randomized Trial • Prospective Cohort Studies • Case Control Studies or Retrospective Cohort • Case Series (Lowest Validity) Meta-analysis is the process of taking results from multiple different studies and combining them to reach a single conclusion. Doing this is sort of like having one huge study with a very large sample size and therefore meta-analysis has higher power than individual studies. Clinical trials are the gold standard of research for therapeutic and preventative interventions. The researchers have a high level of control over most factors. This allows for randomization and blinding which aren't possible in many other study types. Participant's groups are assigned by the researcher in clinical trials while in observational studies "natural conditions" (personal preference, genetics, social determinants, environment, lifestyle ...) assign the group. As we will see later, the incidence in different groups is compared using Relative Risk (RR). Cohort Studies are studies where you first determine whether or not a person has had an exposure and then you monitor the occurrence of health outcomes overtime. It is the observational study design with the highest validity. Cohort is just a fancy name for a group, and this should help you remember this study design. You start with a group of people (some of whom happen to have an exposure and some who don't). Then you follow this group for a certain amount of time and monitor how often certain diseases or health outcomes arise. It is easier to conceptually understand cohort studies that are prospective. However, there are retrospective cohort studies also. In this scenario you identify a group of people in the past. You then first identify whether or not these people had the particular exposure at that point in time and determine whether or not they ended up getting the health outcomes later on. As we will see later, the incidence in different groups in a cohort study is compared using Relative Risk (RR). Case-Control Studies are retrospective and observational. You first identify people who have the health outcome of interest. Then you carefully select a group of controls that are very similar to your diseased population except they don't have that particular disease. Then you try to determine whether or not the participants from each group had a particular exposure in the past. I remember this by thinking that in a case control study you start off knowing whether a person is diseased (a case) or not diseased (a control). There isn't a huge difference between retrospective cohort and case-control. You are basically doing the same steps but in a slightly different order. However, the two study designs are used in different settings. As we will see later, the incidence in different groups in a case-control study is compared using Odds Ratio (OR). A Case-Series is a small collection of individual cases. It is an observational study with a very small sample size and no control group. Basically you are just reviewing the medical records for a few people with a particular exposure or disease. A study like this is good for very rare exposures or diseases. Obviously the small sample size and lack of a control group limits the validity of any conclusions that are made, but in certain situations this is the best evidence that is available. Cross Sectional Studies are different from the others we have discussed. While the other studies measure the incidence of a particular health outcome over time, a cross-sectional study measures Prevalence. In this observational study the prevalence of the exposure and the health outcome are measured at the same time. You are basically trying to figure out how many people in the population have the disease and how many people have the exposure at one point in time. It is hard to determine an association between the exposure and disease just from this information, but you can still learn things from these studies. If the exposure and disease are both common in a particular population it may be worth investing more resources to do a different type of study to determine whether or not there is a causal relationship.
Views: 111650 Stomp On Step 1
Understand statistics in Cochrane systematic reviews
This is module 3 of a series of 3 modules for peer review of Cochrane systematic reviews. This module briefly explains the statistics that are used in Cochrane systematic reviews. Modules 1 and 2 describe how to understand a systematic review (including statistics) and how to peer review.This module was developed with funding from the Canadian Institutes of Health Research Meetings, Planning and Dissemination Grant.
Views: 794 Cochrane Canada
The Role of Systematic Reviews in Evidence-Based Healthcare
Beyond The Search: Maximizing the Quality of Systematic Reviews Learn how librarians can maximize the quality of systematic reviews, plus tips on supporting researchers and clinicians. In these videos you will learn what a Systematic Review is, their role in EBHC, and the Defining Features of a JBI systematic review. Now in 7 separate parts for your convenience! 1) The Role of Systematic Reviews in EBHC 2) What is a Systematic Review? 3) The Defining Features of a JBI systematic review 4) The Librarians Role in the Systematic Review 5) Step 1 in a Systematic Review 6) Step 2 in a Systematic Review 7) Step 3 in a Systematic Review Speaker: Edoardo Aromataris, PhD Director, Synthesis Science and Research Coordinator, the Joanna Briggs Institute
Views: 824 OvidWoltersKluwer
Meta-Analysis | Common mistakes and how to avoid them | Fixed effect vs. random effects
Meta-Analysis | Common mistakes and how to avoid them Part 1 | Fixed effects vs. random effects
Views: 20140 Michael Borenstein
Methods for synthesizing qualitative evidence
In Session 3 of the KTDRR Online Workshop: Qualitative Research Synthesis, Ruth Garside, PhD, Senior Lecturer in Evidence Synthesis at the Medical School, University of Exeter, continues the discussion of qualitative evidence review methodology. Her webinar concentrates on aggregative and interpretive methods for qualitative synthesis, and showcases examples for thematic analysis and meta-ethnography. Additional topics include presenting outcomes of qualitative reviews and translating such results to a wider audience. For more information please visit, http://www.ktdrr.org/training/workshops/qual/session3/index.html
Views: 4436 KTDRR and KTER
Methods for a Qualitative Systematic Review
In Session 2 of the KTDRR Online Workshop: Methods for a qualitative systematic review, Michael A. Saini, PhD, endowed Factor-Inwentash Chair of Law and Social Work at the University of Toronto, provides a more in-depth discussion on the methodology of a qualitative evidence review. In particular, he covers the process from posing an initial question suitable for a qualitative review to extracting and assessing qualitative information. The webinar finishes with an outline of major methodological, qualitative approaches to research synthesis. More information can be found http://www.ktdrr.org/training/workshops/qual/session2/index.html
Views: 5144 KTDRR and KTER
Meta-Analysis 001
Meta-Analysis 001
Views: 74242 Michael Borenstein
What are Systematic Reviews and Literature Reviews
Quality vs. Evidence vs. Research vs. Innovation: Embracing All Types of Clinical Inquiry Learn from the creators of the clinical InQuERI model to understand the difference between all types of clinical inquiry, that is: quality, evidence, research, and innovation! Watch to learn how clinical inquiry ties back to your institution’s standards of practice and more, while learning how to effectively use JBI! Now in 9 separate parts for your convenience! 1. An Introduction and Explanation of Magnet 2. The UCSF Clinical InQuERI Model Part 1 3. The UCSF Clinical InQuERI Model Part 2 4. What are Systematic Reviews and Literature Reviews? 5. Why Does Clinical Inquiry Matter? 6. What is the Joanna Briggs Institute? 7. The 5 Steps of EBP, Part 1 8. The 5 Steps of EBP, Part 2 9. An Overview of Joanna Briggs Institute Resources Speaker: Daphne Stannard RN, PhD, CCNS UCSF Medical Center Director & Chief Nurse Researcher
Views: 4351 OvidWoltersKluwer

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