CAST-HSROC
CAST-HSROC computes summary points from the hierarchical summary Receiver Operating Characteristic (HSROC) model to estimate sensitivity or specificity and their 95% credible intervals for diagnostic test accuracy research.
Key Features:
- Calculation of summary points: Computes point estimates and 95% credible intervals (CrIs) for sensitivity or specificity conditional on a fixed value of the complementary parameter using the HSROC model.
- Support for Summary of Findings (SoF) tables: Produces summary statistics intended for use in Summary of Findings tables to assess the certainty of evidence from HSROC analyses.
- Convergence check recommendation: Requires verification of HSROC model convergence before interpreting point estimates and credible intervals to ensure result reliability.
Scientific Applications:
- Systematic reviews: Provides summary estimates from HSROC models for inclusion in diagnostic test accuracy systematic reviews.
- Guideline development: Supplies point estimates and CrIs for sensitivity or specificity to inform guideline evidence profiles and recommendations.
- Diagnostic test evaluation: Enables quantitative assessment of diagnostic test performance by summarizing sensitivity-specificity trade-offs across studies.
Methodology:
Uses the hierarchical summary ROC (HSROC) model to derive summary statistics and to calculate point estimates with 95% credible intervals for sensitivity or specificity at fixed values of the complementary parameter; model convergence should be checked.
Topics
Details
- Tool Type:
- web application
- Added:
- 6/14/2021
- Last Updated:
- 8/19/2021
Operations
Publications
Banno M, Tsujimoto Y, Luo Y, Miyakoshi C, Kataoka Y. CAST-HSROC: A Web Application for Calculating the Summary Points of Diagnostic Test Accuracy From the Hierarchical Summary Receiver Operating Characteristic Model. Cureus. 2021. doi:10.7759/cureus.13257. PMID:33717762. PMCID:PMC7953362.