Negative / Null Result ReportOpen accessMedicine· cited by 46

A segregation index combining phenotypic (clinical characteristics) and genotypic (gene expression) biomarkers from a urine sample to triage out patients presenting with hematuria who have a low probability of urothelial carcinoma

L. Kavalieris; P.J. O’Sullivan; James M. Suttie; Brent K Pownall; Peter Gilling; C. Chemaslé; David Darling · 2015 · BMC Urology

WASTE classifies this as Negative / Null Result Report · AI classification, approximate

The study found no significant effect — useful as a negative control or null benchmark for your own design.

The finding, in one line

“Algorithms and nomograms combining genotypic and phenotypic variables have largely focused on cancer detection and failed to improve performance.”

Abstract

BACKGROUND: Hematuria can be symptomatic of urothelial carcinoma (UC) and ruling out patients with benign causes during primary evaluation is challenging. Patients with hematuria undergoing urological work-ups place significant clinical and financial burdens on healthcare systems. Current clinical evaluation involves processes that individually lack the sensitivity for accurate determination of UC. Algorithms and nomograms combining genotypic and phenotypic variables have largely focused on cancer detection and failed to improve performance. This study aimed to develop and validate a model inc

Abstract by L. Kavalieris; P.J. O’Sullivan; James M. Suttie; Brent K Pownall; Peter Gilling; C. Chemaslé; David Darling, BMC Urology (2015) — licensed CC BY 4.0.

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