Receiving the amount of true positives, false positives, false negatives and true negatives is necessary when conducting meta-analysis of diagnostic tests. Advanced methods of data extraction are required if these data could not be directly obtained from a literature. We introduced three methods and discussed the theories. An example was then given to illustrate how to apply the methods.
The standards for reporting of diagnostic accuracy (STARD) was developed for guiding the reporting of diagnostic accuracy studies. Its newest version was published in 2015. The study mainly introduced the checklist, terminology, and diagram of the STARD 2015. It is hoped that domestic researchers could use the STARD 2015 to guide the implementation and reporting of their diagnostic accuracy studies, so as to improve the reporting quality of diagnostic accuracy studies.
The standards for reporting of diagnostic accuracy for studies in journal or conference abstracts (STARD for Abstracts) was developed for guiding the reporting of abstracts of diagnostic accuracy studies, which was published in BMJ in August 2017. The study mainly introduced and interpreted the items of STARD for Abstracts, in order to help domestic researchers to perform and report the abstracts of diagnostic accuracy studies by STARD for Abstracts.
