Evidence map›Paper›PMID 35051664›Full record

ArticlePhotodiagnosis and photodynamic therapy2022

Retinal findings of COVID-19 patients using ocular coherence tomography angiography two to three months after infection: Ocular appearance recovered COVID-19 patient.

Afsaneh Naderi Beni, Alireza Dehghani, Farzan Kianersi, Heshmatollah Ghanbari, Zahra Habibidastenae, Seyed Ezatollah Memarzadeh, Zahra Naderi Beni

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Article in Photodiagnosis and photodynamic therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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0cells of the map it votes in
8citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Afsaneh Naderi BeniIsfahan Eye Research Center, Department of ophthalmology, Isfahan University of medical sciences, Isfahan, Iran. Electronic address: a_naderibeni@yahoo.com.
Alireza DehghaniIsfahan Eye Research Center, Department of ophthalmology, Isfahan University of medical sciences, Isfahan, Iran.
Farzan KianersiIsfahan Eye Research Center, Department of ophthalmology, Isfahan University of medical sciences, Isfahan, Iran.
Heshmatollah GhanbariIsfahan Eye Research Center, Department of ophthalmology, Isfahan University of medical sciences, Isfahan, Iran.
Zahra HabibidastenaeShahrekord university of medical sciences, Iran.
Seyed Ezatollah MemarzadehShahrekord university of medical sciences, Iran.
Zahra Naderi BeniShahrekord university of medical sciences, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to evaluate the ocular disorders in COVID-19 patients, two to three months after infection.

methodsIn this cross-sectional, historically controlled study, fifty-one COVID-19 patients were compared with thirty-seven age, and gender-matched healthy individuals. After complete ophthalmological examination, all participants underwent peripapillary and macular optical coherence tomography, and optical coherence tomography angiography (OCTA) measurements (OptoVue Inc, Freemont, CA, USA).

resultsThe time between the initial onset of symptoms, and ophthalmologic examination was 63.31±15.21 (40-95 days). Ophthalmic examination of all the recovered COVID-19 patients was within normal range. None of the peripapillary and macular OCTA parameters were significantly different between the two groups with pairwise comparisons, but after adjusting for age, gender, axial length, and signal strength index (SSI), recovered COVID-19 eyes showed a significant increase in peripapillary retinal nerve fiber (RNFL) thickness, superficial, and deep macular vessel densities in parafoveal and perifoveal regions compared with healthy control eyes (p<= 0.05). Inner retinal thickness overall is higher in recovered COVID-19 eyes compared to healthy eyes after adjustment.

conclusionPatients with moderate-intensity SARS-CoV-2 pneumonia had altered peripapillary and macular vessel density compared to healthy subjects. Further investigation is warranted to analyze the correlation of these changes with disease severity as well as evolution of these changes over time.

Indexed as

COVID-19Optic DiskPhotochemotherapyCross-Sectional StudiesFluorescein AngiographyHumansRetinal VesselsSARS-CoV-2Tomography, Optical CoherenceCOVID-19Ocular finding retinal findingOptical coherence tomography angiography

Identifiers

PMID35051664
PMCPMC8762816

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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.