Predictive algorithms for early detection of retinopathy of prematurity-Reference-Cited by-同舟云学术

Predictive algorithms for early detection of retinopathy of prematurity

Published:2016-06-20 Issue:2 Volume:95 Page:158-164
ISSN:1755-375X
Container-title:Acta Ophthalmologica
language:en
Short-container-title:Acta Ophthalmol

Author:

Piermarocchi Stefano¹,Bini Silvia¹,Martini Ferdinando¹,Berton Marianna¹,Lavini Anna²,Gusson Elena³,Marchini Giorgio³,Padovani Ezio Maria⁴,Macor Sara⁵,Pignatto Silvia⁵,Lanzetta Paolo⁵,Cattarossi Luigi⁶,Baraldi Eugenio⁷,Lago Paola⁷

Affiliation:

1. Department of Ophthalmology; University of Padova; Padova Italy

2. University of Verona; Verona Italy

3. Ophthalmology Unit; Department of Neurological, Neuropsychological, Morphological and Movement Sciences; University of Verona; Verona Italy

4. Department of Pediatrics; Section of Newborn Intensive Care Unit; University Hospital of Verona; Verona Italy

5. Department of Medical and Biological Sciences- Ophthalmology; University of Udine; Udine Italy

6. Department of Pediatrics- Neonatology; University of Udine; Udine Italy

7. Department of Woman's and Child's Health; University of Padova; Padova Italy

Publisher

Wiley

Subject

Ophthalmology,General Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/aos.13117/fullpdf

Reference37 articles.

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2. Incidence of retinopathy of prematurity in infants born before 27 weeks gestation in Sweden;Austeng;Arch Ophthalmol,2009

3. Algorithms for the prediction of retinopathy of prematurity based on postnatal weight gain;Binenbaum;Clin Perinatol,2013

4. A clinical prediction model to stratify retinopathy of prematurity risk using postnatal weight gain;Binenbaum;Pediatrics,2011

5. The CHOP postnatal weight gain, birth weight, and gestational age retinopathy of prematurity risk model;Binenbaum;Arch Ophthalmol,2012

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