Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12857/115173
Title: Predictive algorithms for early detection of retinopathy of prematurity
Authors: Piermarocchi, Stefano 
Bini, Silvia 
Martini, Ferdinando 
Berton, Marianna 
Lavini, Anna 
Gusson, Elena 
Marchini, Giorgio 
Padovani, Ezio Maria 
Macor, Sara
Pignatto, Silvia
Lanzetta, Paolo
Cattarossi, Luigi
Baraldi, Eugenio
Lago, Paola 
Keywords: CHOP ROP;WINROP;RORScore;algorithms;retinopathy of prematurity
Keywords Plus: POSTNATAL WEIGHT-GAIN;PRETERM INFANTS;SCREENING ALGORITHM;BIRTH-WEIGHT;RISK-FACTORS;POPULATION;WINROP;TELEMEDICINE;IMPROVEMENT;MORBIDITY
Mesh headings: Algorithms;Early Diagnosis;Neonatal Screening;Ophthalmoscopy;Retina;Retinopathy of Prematurity
Secondary Mesh headings: Female;Gestational Age;Humans;Incidence;Infant, Newborn;Italy;Male;ROC Curve;Retrospective Studies;Risk Factors
Issue Date: Mar-2017
Publisher: WILEY
Journal: Acta ophthalmologica 
Abstract: 
To evaluate sensitivity, specificity and the safest cut-offs of three predictive algorithms (WINROP, ROPScore and CHOP ROP) for retinopathy of prematurity (ROP).
URI: http://hdl.handle.net/20.500.12857/115173
ISSN: 1755375X
DOI: 10.1111/aos.13117
Appears in Collections:Articles

Show full item record

PubMed Central
Citations 50

9
Last Week
0
Last month
checked on Aug 7, 2021

SCOPUSTM   
Citations 1

16
checked on Sep 1, 2020

WEB OF SCIENCETM
Citations

18
checked on Nov 26, 2021

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.