Evidence map›Paper›PMID 34097896›Full record

ArticleAmerican journal of ophthalmology2021

Detection of Longitudinal Ganglion Cell/Inner Plexiform Layer Change: Comparison of Two Spectral-Domain Optical Coherence Tomography Devices.

Golnoush Mahmoudinezhad, Vahid Mohammadzadeh, Navid Amini, Kevin Delao, Bingnan Zhou, Tae Hong, Sepideh Heydar Zadeh, Esteban Morales, Jack Martinyan, Simon K Law and 3 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of ophthalmology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
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  7. Observational
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

13 authors at 2 institutions in 1 country.

Golnoush MahmoudinezhadFrom the Glaucoma Division (G.M., V.M., S.H.Z., E.M., J.M., S.K.L., A.L.C., J.C., K.N-M.), Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Vahid MohammadzadehFrom the Glaucoma Division (G.M., V.M., S.H.Z., E.M., J.M., S.K.L., A.L.C., J.C., K.N-M.), Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Navid AminiDepartment of Computer Science (N.A., K.D., B.Z., T.H.), California State University Los Angeles, Los Angeles, California.
Kevin DelaoDepartment of Computer Science (N.A., K.D., B.Z., T.H.), California State University Los Angeles, Los Angeles, California.
Bingnan ZhouDepartment of Computer Science (N.A., K.D., B.Z., T.H.), California State University Los Angeles, Los Angeles, California.
Tae HongDepartment of Computer Science (N.A., K.D., B.Z., T.H.), California State University Los Angeles, Los Angeles, California.
Sepideh Heydar ZadehFrom the Glaucoma Division (G.M., V.M., S.H.Z., E.M., J.M., S.K.L., A.L.C., J.C., K.N-M.), Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Esteban MoralesFrom the Glaucoma Division (G.M., V.M., S.H.Z., E.M., J.M., S.K.L., A.L.C., J.C., K.N-M.), Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Jack MartinyanFrom the Glaucoma Division (G.M., V.M., S.H.Z., E.M., J.M., S.K.L., A.L.C., J.C., K.N-M.), Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Simon K LawFrom the Glaucoma Division (G.M., V.M., S.H.Z., E.M., J.M., S.K.L., A.L.C., J.C., K.N-M.), Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Anne L ColemanFrom the Glaucoma Division (G.M., V.M., S.H.Z., E.M., J.M., S.K.L., A.L.C., J.C., K.N-M.), Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California; and the Department of Epidemiology (A.L.C.), Jonathan and Karin Fielding School of Public Health, University of California Los Angeles, Los Angeles, California, USA.
Joseph CaprioliFrom the Glaucoma Division (G.M., V.M., S.H.Z., E.M., J.M., S.K.L., A.L.C., J.C., K.N-M.), Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Kouros Nouri-MahdaviFrom the Glaucoma Division (G.M., V.M., S.H.Z., E.M., J.M., S.K.L., A.L.C., J.C., K.N-M.), Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California. Electronic address: nouri-mahdavi@jsei.ucla.edu.
University of California, Los Angeles · USCalifornia State University Los Angeles · US

Funding

Detection of Disease Progression in Advanced GlaucomaR01EY029792 · NEI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NOURI-MAHDAVI, KOUROS · 2020 to 2024
$1.9M
NEI NIH HHS R01 EY029792
6 · The paper itself

Abstract

purposeWe compared rates of change of macular ganglion cell/inner plexiform (GCIPL) thickness and proportion of worsening and improving rates from 2 optical coherence tomography (OCT) devices in a cohort of eyes with glaucoma.

designLongitudinal cohort study.

methodsIn a tertiary glaucoma clinic we evaluated 68 glaucoma eyes with ≥2 years of follow-up and ≥4 OCT images. Macular volume scans from 2 OCT devices were exported, coregistered, and segmented. Global and sectoral GCIPL data from the central 4.8 × 4.0-mm region were extracted. GCIPL rates of change were estimated with linear regression. Permutation analyses were used to control specificity with the 2.5 percentile cutoff point used to define "true" worsening. Main outcome measures included differences in global/sectoral GCIPL rates of change between 2 OCT devices and the proportion of negative vs positive rates of change (P < .05).

resultsAverage (standard deviation) 24-2 visual field mean deviation, median (interquartile range) follow-up time, and number of OCT images were -9.4 (6.1) dB, 3.8 (3.3-4.2) years, and 6 (5-8), respectively. GCIPL rates of thinning from Spectralis OCT were faster (more negative) compared with Cirrus OCT; differences were significant in superonasal (P = .03) and superotemporal (P = .04) sectors. A higher proportion of significant negative rates was observed with Spectralis OCT both globally and in inferotemporal/superotemporal sectors (P < .04). Permutation analyses confirmed the higher proportion of global and sectoral negative rates of change with Spectralis OCT (P < .001).

conclusionsChanges in macular GCIPL were detected more frequently on Spectralis' longitudinal volume scans than those of Cirrus OCT. OCT devices are not interchangeable with regard to detection of macular structural progression.

Indexed as

Nerve FibersTomography, Optical CoherenceHumansIntraocular PressureLongitudinal StudiesRetinal Ganglion Cells

Identifiers

PMID34097896
PMCPMC8829879
OpenAlexW3167818307

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.