Evidence map›Paper›PMID 35767273›Full record

ArticleTranslational vision science & technology2022

Comparison of Retinal Nerve Fiber Layer and Ganglion Cell-Inner Plexiform Layer Thickness Values Using Spectral-Domain and Swept-Source OCT.

Alessandro Rabiolo, Federico Fantaguzzi, Giovanni Montesano, Maria Brambati, Riccardo Sacconi, Francesco Gelormini, Giacinto Triolo, Paolo Bettin, Giuseppe Querques, Francesco Bandello

Open access · goldAbstract read
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Article in Translational vision science & technology, 2022. 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
1.8field-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

7 citing papers in PubMed, 12 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

10 authors at 5 institutions in 2 countries.

Alessandro RabioloDepartment of Ophthalmology, University Vita-Salute, IRCCS San Raffaele, Milan, Italy.
Federico FantaguzziDepartment of Ophthalmology, University Vita-Salute, IRCCS San Raffaele, Milan, Italy.
Giovanni MontesanoOptometry and Visual Sciences, City, University of London, London, UK.
Maria BrambatiDepartment of Ophthalmology, University Vita-Salute, IRCCS San Raffaele, Milan, Italy.
Riccardo SacconiDepartment of Ophthalmology, University Vita-Salute, IRCCS San Raffaele, Milan, Italy.
Francesco GelorminiDepartment of Ophthalmology, University Vita-Salute, IRCCS San Raffaele, Milan, Italy.
Giacinto TrioloOphthalmology Department, Fatebenefratelli and Ophthalmic Hospital, ASST-Fatebenefratelli-Sacco, Milan, Italy.
Paolo BettinDepartment of Ophthalmology, University Vita-Salute, IRCCS San Raffaele, Milan, Italy.
Giuseppe QuerquesDepartment of Ophthalmology, University Vita-Salute, IRCCS San Raffaele, Milan, Italy.
Francesco BandelloDepartment of Ophthalmology, University Vita-Salute, IRCCS San Raffaele, Milan, Italy.
Vita-Salute San Raffaele University · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITASST Fatebenefratelli Sacco · ITCity, University of London · GBIstituto di Ricovero e Cura a Carattere Scientifico San Raffaele

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To compare peripapillary retinal nerve fiber layer (pRNFL) and macular ganglion cell-inner plexiform layer (mGCIPL) thickness measurements obtained with spectral domain optical coherence tomography (SD-OCT) and swept-source OCT (SS-OCT) using an OCT-angiography scanning protocol, and their ability to distinguish among patients with glaucoma, glaucoma suspects (GS), and healthy controls (HC). Methods: Cross-sectional study of 196 eyes (81 glaucoma, 48 GS, and 67 HC) of 119 participants. Participants underwent peripapillary and macular OCT with SD-OCT and SS-OCT. Parameters of interest were average and sector-wise pRNFL and mGCIPL thickness. Inter-device agreement was investigated with Bland-Altman statistics. Conversion formulas were developed with linear regression. Diagnostic performances were evaluated with area under the receiver operating characteristic curves. Results: Both SD-OCT and SS-OCT detected a significant pRNFL and mGCIPL thinning in glaucoma patients compared to HC and GS for almost all study sectors. A strong linear relationship between the two devices was present for all quadrants/sectors (R2 ≥ 0.81, P < 0.001), except for the nasal (R2 = 0.49, P < 0.001) and temporal (R2 = 0.62, P < 0.001) pRNFL quadrants. SD-OCT and SS-OCT measurements had a proportional bias, which could be removed with conversion formulas. Overall, the two devices showed similar diagnostic abilities. Conclusions: Thickness values obtained with SD-OCT and SS-OCT are not directly interchangeable but potentially interconvertible. Both devices have a similar ability to discriminate glaucoma patients from GS and healthy subjects. Translational Relevance: OCT-Angiography scans can be reliably used to obtain structural metrics in glaucoma patients.

Indexed as

GlaucomaOptic DiskCross-Sectional StudiesHumansNerve FibersRetinal Ganglion CellsTomography, Optical Coherence

Identifiers

PMID35767273
PMCPMC9251790
OpenAlexW4283716897

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.