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New practical methods to obtain crucial data in performing diagnostic meta‐analysis of the published literature
Author(s) -
Ma Xuelei,
Zeng Hao,
Zhang Jing,
Chen Linyan,
Jia Hongyuan
Publication year - 2018
Publication title -
journal of evidence‐based medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.885
H-Index - 22
ISSN - 1756-5391
DOI - 10.1111/jebm.12281
Subject(s) - false positive paradox , meta analysis , false positives and false negatives , inclusion (mineral) , computer science , true positive rate , statistics , data mining , medicine , mathematics , artificial intelligence , psychology , pathology , social psychology
Aim Found some new methods that can be used to obtain values such as true positives (TP), false negatives (FN), false positives (FP), and true negatives (TN) which did not provide in diagnostic meta‐analysis indirectly. Methods Using mathematical deduction and programming calculus. Results We have succeeded in increasing the number of articles that can be used from two(228 patients) to five(469 patients) by using our new method. Conclusion Using these methods, it can greatly increase the number of the inclusion articles, as well as the number of inclusion patients, which will contribute to improve the persuasiveness and comprehensiveness of diagnostic meta‐analysis.