Searching Principles and Assessing Bias

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来自 Johns Hopkins University 的课程

系统综述及元分析入门

911 个评分

Johns Hopkins University

系统综述及元分析入门

911 个评分

我们将介绍对临床试验进行系统综述和元分析的方法，课程内容包括如何构建一个能够回答的研究问题，确定收入和排除条件，寻找证据，提取数据，评价临床试验中偏倚的风险，并进行元分析。顺利完成课程后，同学们将能够： -描述进行系统综述的步骤 -采用“受试者，干预措施，比较方法，结果”(PICO)框架来提出能够回答的问题 -描述从临床试验报告中收集和提取数据的过程 -描述辩证地分析临床试验偏倚风险的方法 -描述和解释元分析的结果

从本节课中

Searching Principles and Bias Assessment

In this module we will look at finding the evidence, as well as key sources, search strategy, and assessing the risk of bias.

Searching Principles and Assessing Bias 2:58

Lecture 3A: Finding the Evidence: Searching Principles5:48

Lecture 3B: Identifying Key Sources and Techniques for Searching17:34

Lecture 3C: Building a High-Quality Search Strategy17:07

Lecture 3D: Documenting Your Search and Conclusions8:00

与讲师见面

Tianjing Li, MD, MHS, PHD
Assistant Professor, Epidemiology
Bloomberg School of Public Health
Kay Dickersin, PhD
Professor, Epidemiology
Bloomberg School of Public Health

Hello, this is Claire Twose again.

I'd like to introduce you to the section that covers searching principles.

We're going to introduce you to the standards for

doing a search, a high quality search that supports a systematic review.

Among the things you're going to learn are the sources that you need to search,

the electronic databases, how to structure the search, so

it actually works in those databases and is recordable and reproducible.

We're also going to introduce you to one of

the key tenets of doing a systematic review, document your search.

Document what you're doing.

I'm going to be covering some of the evidence that's available on

publication bias, on why you need to be doing this sophisticated search,

when you're doing a systematic review.

Dr. Kate Dickerson will introduce you to additional forms of bias and

assessing the risk of bias in clinical trials.

There are two ways that bias can get into your systematic review and meta-analysis.

And that we're going to talk about in the middle part of this course.

The first way is there can be bias in the individual studies that you include

in your systematic review.

And the second way is there can be a bias in the way that you

do your systematic review and meta-analysis.

We're going to talk about both.

The first type we call a risk of bias, and we'll talk about that.

Some of you may think about it in terms of the quality of the included studies.

The second part which is bias in how you do your systematic review of

meta-analysis, we refer to as metabias.

And we're going to talk about that.

In general, those ways have to do with publication bias, as Claire mentioned.

That really relates more to metabias.

In the individual studies, you can think of how the patients are allocated to

the treatment they receive or the exposure that they get, how we collect the data.

Those are different ways that bias can influence

the individual studies that are included.

Then one other aspect that we're going to include in this middle part

of the course has to do with something called qualitative synthesis.

This comes before you actually do the meta-analysis,

or the quantitative synthesis.

And the qualitative synthesis is arguably the most important part

of the systematic review,

and also difficult to sort of get your arms around and figure out what it is.

It's a way of talking about the studies that you've included and what you've done.

It's how the characteristics of the studies can influence the total view.

It's how bias in the individual studies can influence your overall picture.

And it's a qualitative putting together of all the individual studies that you have

before you do a meta-analysis.

So those are the aspects that I'm going to be talking about and that we'll bring into

the course, about in the middle, before we get to the meta-analysis.

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