MARIANNY NAZARETH SULBARAN NAVA
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- Diagnostic meta-analysis: Case study in oncology(2018) MARIANNY, S.; AFONSO, S.; LEONARDO, B.-L.Cancer represents a major public health problem worldwide. Although there have been significative advances against cancer in the last two decades, incidence and death rates are increasing for several cancer types, including liver and pancreas. Continued clinical and basic researches are needed to further improve clinical quality care and diminish mortality caused by malignancies. In this context meta-analysis of diagnostic test accuracy studies represents a reliable methodological tool that facilitates structured high-quality evidence for efficient evidence summary and optimized decision-making regarding oncologic diagnosis and prognosis. However, the relative unfamiliarity of diagnostic test accuracy methods and its interpretation represent a challenge to the clinician that must be overcome. Additionally, previous studies have highlighted a limited quality of the literature regarding assessment of reporting systematic reviews of oncologic diagnostic test accuracy studies. Improvement on the execution and reporting of systematic reviews of diagnostic studies is needed. In this chapter we will summarize specific strategies to simplify the methodological complex system for reporting and interpreting case studies in oncology that will clearly have a positive impact on the quality of systematic reviews and meta-analysis of oncologic diagnostic test accuracy studies. © Springer International Publishing AG, part of Springer Nature 2018.