Evidence map›Paper›PMID 26502148›Full record

ArticleJAMA ophthalmology2016

Algorithm for the Measure of Vitreous Hyperreflective Foci in Optical Coherence Tomographic Scans of Patients With Diabetic Macular Edema.

Edward Korot, Grant Comer, Timothy Steffens, David A Antonetti

Abstract readValidation Study
In one paragraph

Article in JAMA ophthalmology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

18 citing papers in PubMed, 28 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Edward KorotBeaumont Eye Institute, Royal Oak, Michigan2Department of Ophthalmology and Visual Sciences, Kellogg Eye Center, University of Michigan, Ann Arbor.
Grant ComerDepartment of Ophthalmology and Visual Sciences, Kellogg Eye Center, University of Michigan, Ann Arbor.
Timothy SteffensDepartment of Ophthalmology and Visual Sciences, Kellogg Eye Center, University of Michigan, Ann Arbor.
David A AntonettiDepartment of Ophthalmology and Visual Sciences, Kellogg Eye Center, University of Michigan, Ann Arbor.
Beaumont Eye Institute · US

Funding

PUBLIC HEALTH DEMONSTRATIONP60DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MYERS, MARTIN G · 1985 to 2012
$26.5M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Scott Soleimanpour · 2013 to 2026
$24.3M
VIVARIUM MODULEP30EY007003 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI David Antonetti · 1987 to 2026
$17.6M
MECHANISMS OF RETINAL VASCULAR PERMEABILITY IN DIABETESR01EY012021 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ANTONETTI, DAVID · 1998 to 2024
$8.6M
E75 IN THE DEVELOPING DROSOPHILA EYEF31EY007003 · NEI · YALE UNIVERSITY · PI SHILTON, ALYCIA N · 1999 to 2001
$14k
NEI NIH HHS EY007003NEI NIH HHS EY012021NEI NIH HHS F31 EY007003NEI NIH HHS P30 EY007003NEI NIH HHS R01 EY012021NIDDK NIH HHS DK020572NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P60 DK020572
6 · The paper itself

Abstract

importanceDeveloping a noninvasive measure of diabetic retinopathy disease progression may provide physicians with information needed for patient-specific intervention.

objectiveTo develop an algorithm to measure vitreous hyperreflective foci (VHRF) from standard, 3-dimensional optical coherence tomographic (OCT) images in an unbiased manner. DESIGN, SETTING, AND

participantsWe retrospectively analyzed OCT scans from 97 patients who were evaluated at the Kellogg Eye Center, University of Michigan. Patients with diabetes mellitus without signs of retinopathy (n =  9) and patients with diabetic macular edema (DME) (n = 31) were compared with healthy control participants (n = 37). The algorithm was used to determine whether the VHRF score is associated with DME and may serve as a noninvasive measure of inflammation. The study was conducted from November 14, 2011, to August 5, 2015. Data analysis was performed from May 15, 2014, to August 13, 2015. MAIN OUTCOMES AND MEASURES: An algorithm was developed to enhance the vitreous imaging from OCT to allow automated quantification of VHRF and calculation of a VHRF score. This score was compared between the healthy control, diabetes without retinopathy, and DME groups.

resultsIn the 97 scans evaluated, VHRF scores, reported as mean (SD), were increased in patients with DME by 2.95-fold (5.60 [8.65]) compared with healthy controls (1.90 [3.42]; 95% CI, 0.75-7.45; P = .012) and by 6.83-fold compared with patients with diabetes without retinopathy (0.82 [1.26]; 95% CI, 1.46-8.82; P = .005). CONCLUSIONS AND RELEVANCE: Scores obtained using the VHRF algorithm may be obtained from OCT images that include the vitreous and could provide a rapid, noninvasive clinical correlate for ocular inflammation. Higher VHRF scores in patients with DME compared with controls and diabetic patients without retinopathy warrant further population-based and longitudinal studies to help determine the value of the VHRF score in selecting therapeutic intervention.

Indexed as

AlgorithmsAdultAgedDiabetic RetinopathyFemaleGlycated HemoglobinHumansImaging, Three-DimensionalMacular EdemaMaleMiddle AgedReproducibility of ResultsRetrospective StudiesTomography, Optical CoherenceVitreous BodyGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID26502148
PMCPMC4713241
OpenAlexW2167122435

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Registered trials

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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.