A hierarchical regression approach to meta-analysis of diagnostic test accuracy evaluations

2001 ◽  
Vol 20 (19) ◽  
pp. 2865-2884 ◽  
Author(s):  
Carolyn M. Rutter ◽  
Constantine A. Gatsonis
2020 ◽  
pp. 105477382096123
Author(s):  
Jinkyung Park ◽  
Eunhye Jeong ◽  
Juneyoung Lee

Delirium is a reversible impairment of metabolism in the human brain. Early detection is important, and an effective screening tool for nurses is crucial. The Delirium Observation Screening (DOS) scale is one such screening tool; however, its diagnostic test accuracy has not yet been thoroughly examined. This study, therefore, aimed to evaluate the accuracy of the scale through a systematic review and meta-analysis. In July 2019, a search was conducted in the MEDLINE, CINAHL, Embase, and PsycARTICLES databases, and following a review against pre-defined eligibility criteria, eight studies were finally included. The quality assessment tool of diagnostic accuracy studies was applied to each study and a hierarchical regression model was used to calculate the pooled estimates of sensitivity (90%; 76%–97%, CI 95%) and specificity (92%; 88%–94%, CI 95%). The findings indicated a high diagnostic test accuracy for the DOS scale.


2021 ◽  
pp. 105477382110651
Author(s):  
Anna Lee ◽  
Jinkyung Park

Major depressive disorder in adolescents is closely linked to poor social, cognitive, and academic outcomes, including suicidality. The Beck Depression Inventory (BDI), a screening tool, is one of the most widely used instruments for detecting depression; however, its diagnostic test accuracy has not yet been thoroughly examined. This study, therefore, aimed to systematically review and perform a meta-analysis to evaluate the accuracy of the BDI for detecting depression in adolescents. In August 2020, a search was conducted in the EMBASE, MEDLINE, CINAHL, and PsycArticles databases, and following a review against predefined eligibility criteria, 22 studies were finally included. The quality of the included articles was evaluated, and a hierarchical regression model was used to calculate the pooled estimates of sensitivity and specificity; 73.0% (95% CI; 62.0%, 81.8%) and 80.3% (72.8%, 86.1%) in cutoff 16, respectively. The findings indicated the BDI is a reliable and useful tool to screen adolescents’ depression.


2021 ◽  
Vol 58 ◽  
pp. 101461
Author(s):  
Stephany Fulda ◽  
Richard P. Allen ◽  
Christopher J. Earley ◽  
Birgit Högl ◽  
Diego Garcia-Borreguero ◽  
...  

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