Practicalities of sifting
A quick note on language
The information you're using for pre-screening and selection might not be written in your first language. When looking at studies in a language you cannot read, you are likely to need help. How much help you need depends on whether you can identify certain key words to tell you whether a study might be relevant. If not, you will probably need to find someone who is familiar with that language to help. They may just be able to read an abstract and tell you whether it is worth ordering the full article. With a full paper, you may just be able to ask someone to read it and tell you whether it is eligible, or you may need to get certain parts, or all, of the paper translated. You may know people who speak a variety of languages, or your review group may be able to help you find a translator if necessary.
Human error
Both stages of sifting are going to be done by humans. Humans make mistakes and people doing reviews are no different. When looking at a lot of studies we may simply miss some information and mistakenly include or exclude the study. We all have certain prejudices or biases which might make us more or less likely to choose a particular study. Part of the review process is to try to minimise these mistakes and biases.
An important point is that if you exclude a study in the initial sift, it will rarely get another chance to be included. So reviewers usually give studies the benefit of the doubt at this early stage, and go on to obtain the full report.
Should you collect outcome data at the same time as eligibility information?
It might seem that since you are reading these papers anyway for making eligibility decisions, why not collect outcome data at the same time? Why read all the papers again later?
There are two main arguments against this. The first is simple - if you decide to exclude a study, you will have extracted its data unnecessarily, and will have wasted time and effort. We mentioned the second reason earlier on - you should try to avoid letting the results of studies sway your decision. If you look too hard at the results too soon, you might find it difficult not to be swayed.
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