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Proposed Modifiable Scoring Criteria for Studies Included in Meta-Analyses to Reduce Measurement Bias
Gabriel Vizgan1, Bernard von Simson2, Joey Nicholson3
1Urology, State University of New York (SUNY) Downstate Health Sciences University, New York, USA.
None:
Due to inconsistencies in literature reporting, there is potential for bias in meta-regression calculations used in systematic reviews and meta-analyses. To address this, we propose a novel modifiable point-based scoring system, highlighting to readers the scientific weight of included studies relative to the conclusion of the review's authors. Such a scoring system will have the added benefit of also highlighting data points that are underrepresented. This system is ideal for synthesizing reviews on pathologies poorly represented in the literature. The scoring system described will decrease bias and enable impactful interpretation to ultimately lead to standard practice adaptation.
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