diagnostic test accuracy
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2022 ◽  
Author(s):  
Ashraf Fawzy Nabhan

Background: Endometrial cancer ranks as the most common gynecological cancer. An accurate detection can dramatically improve patient relevant outcomes.Objectives: To determine the diagnostic accuracy of different endometrial sampling methods for detecting endometrial carcinoma and its precursors.Search strategy: we will search the Cochrane library, Pubmed/MEDLINE, Web of Science, and Scopus. We will search references of relevant studies.Selection criteria: We will include diagnostic test accuracy studies if women had an endometrial sampling followed by verification with histopathology in hysterectomy specimens. The primary target is endometrial carcinoma.Data collection and analysis: Two authors will independently screen studies, extract data, and assess methodological quality. We will use bivariate diagnostic random-effects meta-analysis.Results: This is a protocol of a diagnostic test accuracy systematic review.Conclusions: Evidence will aid in making well-informed decisions for diagnosing endometrial carcinoma. Implications for research will be outlined for future studies.


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 1 (12) ◽  
Author(s):  
Angela M. Barbara ◽  
Hannah Loshak

Evidence of variable quality from 6 diagnostic test accuracy studies indicates that the Pan-Canadian Early Detection of Lung Cancer (PanCan) model may perform better at determining which lung nodules identified by low-dose CT are cancerous compared to the Lung Imaging Reporting and Data System. However, evidence from 3 other studies, also of variable quality, suggests that the risk calculators have similar diagnostic test accuracy. No studies were identified that compared the clinical utility of PanCan versus the Lung Imaging Reporting and Data System. Results from 2 economic evaluations were inconsistent about the cost-effectiveness of the 2 lung cancer risk models. However, each study applied the models to different types of lung nodules. One evidence-based guideline recommended that PanCan be used in the UK for initial risk assessment and for the management of lung nodules.


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