Evidence map›Paper›PMID 34967834›Full record

ArticleTranslational vision science & technology2021

Conversion of Central Subfield Thickness Measurements of Diabetic Macular Edema Across Cirrus and Spectralis Optical Coherence Tomography Instruments.

Jennifer K Sun, Kristin Josic, Michele Melia, Adam R Glassman, Clare Bailey, Kakarla V Chalam, Emily Y Chew, Catherine Cukras, Sandeep Grover, Glenn J Jaffe and 6 more

Registry-linked trialAbstract read
In one paragraph

Article in Translational vision science & technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01610557 (A Phase II Randomized Study to Compare Anti-VEGF Agents in the Treatment of Diabetic Macular Edema), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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.

NCT01610557 phase2completednot on this map

A Phase II Randomized Study to Compare Anti-VEGF Agents in the Treatment of Diabetic Macular Edema (CADME)

TypeinterventionalSponsorNational Eye Institute (NEI)Ran2012 to 2015Enrolled56ConditionsDiabetic Macular EdemaArmsRanibizumab, Bevacizumab
3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Trial
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  4. Predictors of persistent central serous chorioretinopathy: a multicenter retrospective study - MICRoN report number four.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    Article
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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

16 authors.

Jennifer K SunJoslin Diabetes Center, Beetham Eye Institute, Harvard Department of Ophthalmology, Boston, Massachusetts, USA.
Kristin JosicJaeb Center for Health Research, Tampa, Florida, USA.
Michele MeliaJaeb Center for Health Research, Tampa, Florida, USA.
Adam R GlassmanJaeb Center for Health Research, Tampa, Florida, USA.
Clare BaileyBristol Eye Hospital, University Hospitals Bristol NHS Foundation Trust, Bristol, UK.
Kakarla V ChalamDepartment of Ophthalmology, Loma Linda University Health Care, Loma Linda, California, USA.
Emily Y ChewNational Eye Institute, National Institutes of Health, Bethesda, MD, USA.
Catherine CukrasNational Eye Institute, National Institutes of Health, Bethesda, MD, USA.
Sandeep GroverDepartment of Ophthalmology, University of Florida College of Medicine, Jacksonville, Florida, USA.
Glenn J JaffeDepartment of Ophthalmology, Duke University, Durham, North Carolina, USA.
Richard LeeBristol Eye Hospital, Bristol Royal Infirmary NHS Trust, Department of Medical Retina and Uveitis, Bristol, UK.
Jared S NielsenWolfe Eye Clinic, Des Moines, Iowa, USA.
Darby J S ThompsonThe Emmes Company LLC, Rockville, Maryland, USA.
Henry E WileyNational Eye Institute, National Institutes of Health, Bethesda, MD, USA.
Frederick L FerrisOphthalmic Research Consultants, LLC, Waxhaw, North Carolina, USA.
DRCR Retina Network

Funding

DRCR Retina NetworkUG1EY014231 · NEI · JAEB CENTER FOR HEALTH RESEARCH, INC. · PI Adam R Glassman, DANIEL F MARTIN · 2019 to 2026
$75.4M
NEI NIH HHS UG1 EY014231
6 · The paper itself

Abstract

Purpose: Develop equations to convert Cirrus central subfield thickness (CST) to Spectralis CST equivalents and vice versa in eyes with diabetic macular edema (DME). Methods: The DRCR Retina Network Protocol O data were split randomly to train (70% sample) and validate (30% sample) conversion equations. Data from an independent study (CADME) also validated the equations. Bland-Altman 95% limits of agreement between predicted and observed values evaluated the equations. Results: Protocol O included 374 CST scan pairs from 187 eyes (107 participants). The CADME study included 150 scan pairs of 37 eyes (37 participants). Proposed conversion equations are Spectralis = 40.78 + 0.95 × Cirrus and Cirrus = 1.82 + 0.94 × Spectralis regardless of age, sex, or CST. Predicted values were within 10% of observed values in 101 (90%) of Spectralis and 99 (88%) of Cirrus scans in the validation data; and in 136 (91%) of the Spectralis and 148 (99%) of the Cirrus scans in the CADME data. Adjusting for within-eye correlations, 95% of conversions are estimated to be within 17% (95% confidence interval, 14%-21%) of CST on Spectralis and within 22% (95% confidence interval, 18%-28%) of CST on Cirrus. Conclusions: Conversion equations developed in this study allow the harmonization of CST measurements for eyes with DME using a mix of current Cirrus and Spectralis device images. Translational Relevance: The CSTs measured on Cirrus and Spectralis devices are not directly comparable owing to outer boundary segmentation differences. Converting CST values across spectral domain optical coherence tomography instruments should benefit both clinical research and standard care efforts.

Indexed as

Diabetes MellitusDiabetic RetinopathyMacular EdemaHumansRetinaTomography, Optical Coherence

Identifiers

PMID34967834
PMCPMC8727314

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Registered trials

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.