Evidence map›Paper›PMID 22019222›Full record

ArticleAmerican journal of ophthalmology2012

Evaluation of vascular disease progression in retinopathy of prematurity using static and dynamic retinal images.

Jane S Myung, Rony Gelman, Grant D Aaker, Nathan M Radcliffe, R V Paul Chan, Michael F Chiang

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in American journal of ophthalmology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Retinopathy of Prematurity: Imaging in retinopathy of prematurity: where are we, and where are we going?Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus · 2016
    Article
  5. Article
  6. Teleophthalmology: improving patient outcomes?Clinical ophthalmology (Auckland, N.Z.) · 2016
    Review
  7. Comparison of retinal image evaluation techniques in novice clinicians.Journal of medical imaging (Bellingham, Wash.) · 2015
    Article
  8. 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

6 authors at 2 institutions in 1 country.

Jane S MyungDepartment of Ophthalmology, Weill-Cornell Medical College, New York, New York, USA.
Rony Gelman
Grant D Aaker
Nathan M Radcliffe
R V Paul Chan
Michael F Chiang
Cornell University · USColumbia University · US

Funding

Clinical and Genetic Analysis of Retinopathy of PrematurityR01EY019474 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI CAMPBELL, JOHN PETER · 2010 to 2020
$7.0M
Mentored Vision Clinician-Scientist Program at OHSUK12EY027720 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI David Huang · 2018 to 2026
$2.2M
NEI NIH HHS EY19474NEI NIH HHS K12 EY027720NEI NIH HHS R01 EY019474
6 · The paper itself

Abstract

purposeTo measure accuracy and speed for detection of vascular progression in retinopathy of prematurity (ROP) from serial images. Two strategies are compared: static side-by-side presentation and dynamic flickering of superimposed image pairs.

designProspective comparative study.

methodsFifteen de-identified, wide-angle retinal image pairs were taken from infants who eventually developed plus disease. Image pairs representing vascular disease progression were taken ≥1 week apart, and control images without progression were taken on the same day. Dynamic flickering pairs were created by digital image registration. Ten experts independently reviewed each image pair on a secure website using both strategies, and were asked to identify progression or state that images were identical. Accuracy and speed were measured, using examination date and ophthalmoscopic findings as a reference standard.

resultsUsing static images, experts were accurate in a mean (%) ± standard deviation (SD) of 11.4 of 15 (76%) ± 1.7 image pairs. Using dynamic flickering images, experts were accurate in a mean (%) ± SD of 11.3 of 15 (75%) ± 1.7 image pairs. There was no significant difference in accuracy between these strategies (P = .420). Diagnostic speed was faster using dynamic flickering (24.7 ± 8.3 seconds) vs static side-by-side images (40.3 ± 18.3 seconds) (P = .002). Experts reported higher confidence when interpreting dynamic flickering images (P = .001).

conclusionsRetinal imaging provides objective documentation of vascular appearance, with potentially improved ability to recognize ROP progression compared to standard ophthalmoscopy. Speed of identifying vascular progression was faster by review of dynamic flickering image pairs than by static side-by-side images, although there was no difference in accuracy.

Indexed as

Disease ProgressionHumansImage Interpretation, Computer-AssistedInfant, NewbornOphthalmoscopyPeripheral Vascular DiseasesProspective StudiesReproducibility of ResultsRetinal VesselsRetinopathy of Prematurity

Identifiers

PMID22019222
PMCPMC3266465
OpenAlexW2012857166

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.