Observational studyGraefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie2020
Thinner retinal nerve fibre layer in healthy myopic eyes with thinner central corneal thickness.
Observational study in Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Retinal nerve fiber layer thickness profile in an Iranian adult population.Scientific reports · 2025Article
- Characteristics of the Optic Nerve Head in Myopic Eyes Using Swept-Source Optical Coherence Tomography.Investigative ophthalmology & visual science · 2022Article
- Focal Loss Analysis of Nerve Fiber Layer Reflectance for Glaucoma Diagnosis.Translational vision science & technology · 2021Article
- Study on the Optic Nerve Fiber Layer Thickness and Changes in Blood Flow in Myopic Children.International journal of general medicine · 2021Article
- Factors Associated with Changes in Peripapillary Retinal Nerve Fibre Layer Thickness in Healthy Myopic Eyes.Journal of ophthalmology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThinner central corneal thickness (CCT) is a risk factor for conversion from ocular hypertension to glaucoma and for disease progression. However, little is known about the relationship between CCT and characteristics of the optic nerve and the retinal nerve fibre layer (RNFL) in non-glaucomatous eyes. Because myopic eyes may pose diagnostic challenges when assessed for glaucoma, characterising the relationship between CCT and RNFL in these eyes is clinically relevant. Our aim was to investigate the relationship between CCT and RNFL thickness in non-glaucomatous eyes with small/moderate myopia.
methodsThis was a single-centre, observational, prospective, assessor-masked study. Consecutive eligible patients (myopia ≤ - 6.0 dioptres, astigmatism ≤ 2.0 dioptres) without other ocular or neurodegenerative diseases were included. Based on their CCT, the participants were allocated to group 1 (CCT > 555 μm) or group 2 (CCT < 555 μm). Peripapillary RNFL measurements were performed by a masked observer using the Spectralis OCT platform.
resultsSixty eyes were included in group 1 and 63 in group 2. The CCT in the two groups was significantly different (584.27 ± 22.8 μm vs 522.23 ± 20.03 μm, p = 0.0001). There were no other significant differences in the groups in terms of age, refraction, or intraocular pressure. The peripapillary RNFL thickness was higher (all p < 0.005) in group 1 at several sectors: superior-temporal, inferior-temporal, inferior-nasal, and average. A significant positive correlation between CCT and average RNFL thickness was found for the whole population (r = 0.31, p = 0.0001).
conclusionOtherwise, healthy myopes with thinner CCT have thinner RNFL compared with participants of similar age and refraction with thicker CCT.
Indexed as
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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.