All right. Thank you so much, Lydia, for that kind introduction. I guess I'll get started.

So it's a two-part thing. So I'll be back in January. And in January, I'll come in person, had I known I would be there.

I'd come in person to talk to you all. So whatever we don't cover in this session, we will cover in that session, and we'll probably get more into the nitty gritty and maybe we can even do it in real

time. We can have you all choose a topic and I'll show you some ways that we might be able to do

the analysis. But here I wanted to give you a little bit of background about systematic review,

a little bit of some pitfalls that you might not see, and then to just start to talk about

search strategy because I know in the

course of your master's, you're going to be doing one of these systematic reviews.

So by way of background, I'm Vinay Prasad.

I'm a hemank doctor here.

I work at the general hospital.

I'm there every week in clinic, and I'm also attend on service there, and I'm a professor in residence in our department of EpiBiostats, and I've been working at UCSF for about five years. So I always start with this quote. When I think about

meta-analysis, I've said this for years, and I really think it's true, that metanalysis is like a

juicer. It only tastes as good as what you put in the juicer. And sometimes I think people

are putting some rotten fruits and vegetables in the juicer, and they're telling me the meta-analysis said. And that's not exactly good.

So it's very important to be critical about what you put into it. And I thought, as I was putting

this talk together, I thought that if I was just going to jump into how do you do it and the

nitty-gritty, I would bore you. So instead of doing that, I'm going to give you four examples where meta-analysis is systematic review played an important role and where people

got it wrong. And I think some decisions were made that were incorrect, where some impressions

are incorrect, where there's not consistency because of how we think about systematic review and

meta-analysis. Okay. But first. First, just a little teaser, you know, what are we even

talking about here, systematic review and meta-analysis? What is this concept? And the idea is that

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