Evidence map›Paper›PMID 30175314›Full record

ArticleOphthalmology. Retina2018

Evaluating a Portable, Noncontact Fundus Camera for Retinopathy of Prematurity Screening by Nonophthalmologist Health Care Workers.

S Grace Prakalapakorn, Sharon F Freedman, Amy K Hutchinson, David K Wallace, Sandra S Stinnett, J Wayne Riggins, Keith J Gallaher

Abstract read
In one paragraph

Article in Ophthalmology. Retina, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Quantitative comparison of blood vessel changes after treatment of retinopathy of prematurity with laser versus bevacizumab.Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus · 2022
    Article
  3. Article
  4. Quantitatively comparing weekly changes in retinal vascular characteristics of eyes eventually treated versus not treated for retinopathy of prematurity.Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus · 2021
    Article
  5. Commentary: Bringing frugal Indovation to eyes of babies.Indian journal of ophthalmology · 2020
    Article
  6. ROPtool analysis of plus and pre-plus disease in narrow-field images: a multi-image quadrant-level approach.Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus · 2020
    Article
  7. Practice Guidelines for Ocular Telehealth-Diabetic Retinopathy, Third Edition.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2020
    Article
  8. Telemedicine for Retinopathy of Prematurity.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2020
    Review
  9. Non-contact retinal imaging compared to indirect ophthalmoscopy for retinopathy of prematurity screening: infant safety profile.Journal of perinatology : official journal of the California Perinatal Association · 2018
    Article
  10. Review
  11. Retinopathy of prematurity screening: A narrative review of current programs, teleophthalmology, and diagnostic support systems.Saudi journal of ophthalmology : official journal of the Saudi Ophthalmological Society
    Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

S Grace PrakalapakornDuke University, Department of Ophthalmology, Durham, NC, USA.
Sharon F FreedmanDuke University, Department of Ophthalmology, Durham, NC, USA.
Amy K HutchinsonEmory University, Department of Ophthalmology, Atlanta, GA, USA.
David K WallaceDuke University, Department of Ophthalmology, Durham, NC, USA.
Sandra S StinnettDuke University, Department of Ophthalmology, Durham, NC, USA.
J Wayne RigginsCape Fear Eye Associates, Fayetteville, NC.
Keith J GallaherDepartment of Neonatology, Cape Fear Valley Medical Center, Fayetteville, NC.
Duke University · USCape Fear Valley Medical Center · USEmory University · US

Funding

Evaluating a non-contact fundus camera for retinopathy of prematurity screeningK23EY024268 · NEI · DUKE UNIVERSITY · PI PRAKALAPAKORN, SASAPIN GRACE · 2014 to 2016
$638k
NEI NIH HHS K23 EY024268
6 · The paper itself

Abstract

purposeTo evaluate (1) the feasibility of non-ophthalmologist healthcare workers (HCWs) to obtain images of sufficient quality for retinopathy of prematurity (ROP) screening using a FDA-approved portable, non-contact, narrow-field fundus camera (i.e., Pictor™), and (2) the accuracy of grading these images to identify infants who developed treatment-warranted (type 1) ROP.

designProspective cohort study. SUBJECTS: Infants undergoing routine ROP screening examinations (i.e. birth weight ≤1500 grams and/or gestational age ≤30 weeks or selected infants with a birth weight of 1500-2000g or gestational age >30 weeks and an unstable clinical course).

methodsWe prospectively recruited infants undergoing ROP screening examinations at a community hospital. On the same day an ophthalmologist examined them, a trained HCW imaged their retinas using the non-contact camera. Two masked ROP experts graded these images remotely. We calculated both the percentage of gradable images (i.e. having at least 3 quadrants with sufficient image quality), as well as the accuracy of identifying infants who developed type 1 ROP.

main outcome measuresPercentage of gradable images and the sensitivity and specificity of each grader for identifying infants with type 1 ROP by grading for the presence of pre-plus or plus disease.

resultsNinety-nine infants were included. Overall, 92.4% and 94.2% of all infant imaging sessions were considered gradable by graders 1 and 2, respectively. Amongst gradable images, the sensitivity of both graders for identifying type 1 ROP by grading for the presence of pre-plus or plus disease was 100% (95% confidence interval (CI): 95-100%) and the specificity 91% (95% CI: 83-95%) for grader 1 and 93% (95% CI: 86-96%) for grader 2.

conclusionsIt was highly feasible for trained HCWs to obtain digital retinal images of sufficient quality for ROP screening using a non-contact fundus camera. By grading for the presence of pre-plus or plus disease, graders identified infants who developed type 1 ROP with high sensitivity and specificity. The use of portable, non-contact retinal cameras by trained HCWs could increase our workforce in ROP screening and identify infants needing an indirect ophthalmoscopy examination by an ophthalmologist.

Identifiers

PMID30175314
PMCPMC6117114
OpenAlexW2782964757

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.