That depends on what question you are trying to answer. I'm assuming that not all of the variables are actual covariates that "need" to be in the model. Going through each of the 200 variables is pretty much a "digging" process, and eventually the likelihood is that you'll end up with one that is significant, even if it doesn't make sense to have it in the regression model.