Sensitivity, Specificity, and Receiver Operating Characteristics: A Primer for Neuroscience Nurses.

J Neurosci Nurs

Questions or comments about this article may be directed to Molly McNett, PhD RN CNRN, at She is the Director, Nursing Research, MetroHealth System, Cleveland, OH. Shelly Amato, CNS RN CNRN, is Clinical Nurse Specialist, MetroHealth Center for Brain Injury Rehabilitation, Cleveland, OH. DaiWai M. Olson, PhD RN CCRN FNCS, is Associate Professor of Neurology & Neurotherapeutics, Associate Professor of Neurosurgery, University of Texas Southwestern, Dallas, TX.

Published: April 2017

It is important for neuroscience nurses to have a solid understanding of the instruments they use in clinical practice. Specifically, when reviewing reports of research instruments, nurses should be knowledgeable of analytical terms when determining the applicability of instruments for use in clinical practice. The purpose of this article is to review 3 such analytical terms: sensitivity, specificity, and receiver operating characteristic curves. Examples of how these terms are used in the neuroscience literature highlight the relevance of these terms to neuroscience nursing practice. As the role of the nurse continues to expand, it is important not to simply accept all instruments as valid but to be able to critically evaluate their properties for applicability to nursing practice and evidence-based care of our patients.

Download full-text PDF

Source
http://dx.doi.org/10.1097/JNN.0000000000000267DOI Listing

Publication Analysis

Top Keywords

sensitivity specificity
8
specificity receiver
8
receiver operating
8
neuroscience nurses
8
instruments clinical
8
clinical practice
8
analytical terms
8
terms neuroscience
8
nursing practice
8
operating characteristics
4

Similar Publications

Validating the Accuracy of Parkinson's Disease Clinical Diagnosis: A UK Brain Bank Case-Control Study.

Ann Neurol

January 2025

Research Unit of Neurology, Neurophysiology and Neurobiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy.

Objective: Despite diagnostic criteria refinements, Parkinson's disease (PD) clinical diagnosis still suffers from a not satisfying accuracy, with the post-mortem examination as the gold standard for diagnosis. Seminal clinicopathological series highlighted that a relevant number of patients alive-diagnosed with idiopathic PD have an alternative post-mortem diagnosis. We evaluated the diagnostic accuracy of PD comparing the in-vivo clinical diagnosis with the post-mortem diagnosis performed through the pathological examination in 2 groups.

View Article and Find Full Text PDF

Objectives: In advanced stages of osteoradionecrosis, medication-related osteonecrosis of the jaw, and osteomyelitis, a resection of sections of the mandible may be unavoidable. The determination of adequate bony resection margins is a fundamental problem because bony resection margins cannot be secured intraoperatively. Single-photon emission computed tomography (SPECT-CT) is more accurate than conventional imaging techniques in detecting inflammatory jaw pathologies.

View Article and Find Full Text PDF

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) includes simple steatosis and metabolic dysfuncion-associated steatohepatitis (MASH), with fibrosis in MASH serving as a critical prognostic marker. This study investigates the effects of Roux-en-Y gastric bypass (RYGB) on fibrotic MASH, assessed using the fibrotic NASH index (FNI) and the non-invasive NASH detection score (NI-NASH-DS), as well as provides further data on the diagnostic accuracy of both scores.

Methods: A retrospective cohort study was conducted involving 104 individuals (91.

View Article and Find Full Text PDF

Using artificial intelligence to evaluate adherence to best practices in one anastomosis gastric bypass: first steps in a real-world setting.

Surg Endosc

January 2025

Division of General Surgery, Bariatric Unit, Tel Aviv Medical Center, Affiliated to Sackler Faculty of Medicine, Tel Aviv University, 6, Weizman St, 6423906, Tel- Aviv, Israel.

Background: Safety in one anastomosis gastric bypass (OAGB) is judged by outcomes, but it seems reasonable to utilize best practices for safety, whose performance can be evaluated and therefore improved. We aimed to test an artificial intelligence-based model in real world for the evaluation of adherence to best practices in OAGB.Please check and confirm that the authors and their respective affiliations have been correctly identified and amend if necessary.

View Article and Find Full Text PDF

Objectives: To develop and validate a lesion-based grading system using clinicopathological and MRI features for predicting positive surgical margin (PSM) following robotic-assisted laparoscopic prostatectomy (RALP) among prostate cancer (PCa) patients.

Methods: Consecutive MRI examinations of patients undergoing RALP for PCa were retrospectively collected from two medical institutions. Patients from center 1 undergoing RALP between January 2020 and December 2021 were included in the derivation cohort and those between January 2022 and December 2022 were allocated to the validation cohort.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!