PMC:7799291 / 52178-53125 JSONTXT

{"target":"http://pubannotation.org/docs/sourcedb/PMC/sourceid/7799291","sourcedb":"PMC","sourceid":"7799291","source_url":"https://www.ncbi.nlm.nih.gov/pmc/7799291","text":"Systematic reviews aim to synthesize results over all relevant published studies on a topic, providing the highest quality of evidence and recommendations for clinical and public health decisions. They have become a fixture in the biomedical literature, with many established protocol around their registration, production, publication and update [10, 15, 81]. We refer to them here because the systematic review framework is useful to keep in mind when discussing evidence summary and information overload. In Figure 2, we show the steps of systematic review construction [38]. Indeed, many of the text mining tasks we discuss previously can be framed in the context of systematic review construction. For example, search and QA can help to identify relevant documents and spans of text, table completion helps to extract structured evidence from different studies and multi-document summarization is a way of aggregating evidence across studies.","tracks":[]}