2015
DOI: 10.3348/kjr.2015.16.6.1175
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Systematic Review and Meta-Analysis of Studies Evaluating Diagnostic Test Accuracy: A Practical Review for Clinical Researchers-Part I. General Guidance and Tips

Abstract: In the field of diagnostic test accuracy (DTA), the use of systematic review and meta-analyses is steadily increasing. By means of objective evaluation of all available primary studies, these two processes generate an evidence-based systematic summary regarding a specific research topic. The methodology for systematic review and meta-analysis in DTA studies differs from that in therapeutic/interventional studies, and its content is still evolving. Here we review the overall process from a practical standpoint,… Show more

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Cited by 272 publications
(198 citation statements)
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“…10. However, this statistical criterion may be less appropriate for meta-analysis of diagnostic tests which employ bivariate outcomes (sensitivity and specificity; Kim et al 2015; Lee et al 2015). Tau-squared quantifies the variance across studies, with a value of zero indicating minimal or no heterogeneity in the data.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…10. However, this statistical criterion may be less appropriate for meta-analysis of diagnostic tests which employ bivariate outcomes (sensitivity and specificity; Kim et al 2015; Lee et al 2015). Tau-squared quantifies the variance across studies, with a value of zero indicating minimal or no heterogeneity in the data.…”
Section: Methodsmentioning
confidence: 99%
“…Following methods outlined by Kim et al (2015) and Lee et al (2015), we employed hierarchical methods, known as the bivariate and Rutter & Gatsonis hierarchical summary receiver operating characteristic (HSROC) models, respectively. These are random effect models in that they account for variance within studies as well as across studies.…”
Section: Methodsmentioning
confidence: 99%
“…Heterogeneity and inconsistency were assessed using Cochran's Q test and the I 2 statistic, respectively. An alpha value ≤0.10 on the Q test was considered to be representative of statistically significant heterogeneity, while an I 2 statistic greater than 50% was considered to be indicative of substantial inconsistency (Kim, Lee, Choi, Huh, & Park, 2015). Funnel plots were used to visually examine for potential small-study effects (publication bias, etc.).…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, it is timely and necessary to collect current data regarding the use of these images for detecting brain metastases. To the best of our knowledge, our present systematic review using DerSimonian-Laird random-effects modeling [17][18][19]. Heterogeneity among studies was determined using the χ 2 statistics for the pooled estimates (p < 0.05, indicating significant heterogeneity) and the inconsistency index, I 2 (0-40 %, might not be important; 30-60 %, may represent moderate heterogeneity; 50-90 %, may represent substantial heterogeneity; 75-100 %, considerable heterogeneity) [20].…”
Section: Inclusion Criteriamentioning
confidence: 99%