Evidence map›Paper›PMID 38990331›Full record

Observational studyGraefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie2024

Study of the impact of the vascular systemic risk factors on peripapillary vascular density by optical coherence tomography angiography.

Cristina Tolosa-Tort, Emma Poza-Martin, Julian Garcia-Feijoo, Carmen Mendez-Hernandez

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

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

2 citing papers in PubMed.

  1. Research Progress of Diabetes-related Glaucoma: Mechanisms, Impacts and Management Strategies.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
    Review
  2. Review
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

4 authors.

Cristina Tolosa-TortDepartment of Immunology, Ophthalmology and ORL. IIORC, Faculty of Optics and Optometry, Complutense University of Madrid, Madrid, Spain.
Emma Poza-MartinDepartment of Immunology, Ophthalmology and ORL. IIORC, Faculty of Optics and Optometry, Complutense University of Madrid, Madrid, Spain.
Julian Garcia-FeijooDepartment of Immunology, Ophthalmology and ORL. IIORC, Faculty of Optics and Optometry, Complutense University of Madrid, Madrid, Spain.
Carmen Mendez-HernandezDepartment of Immunology, Ophthalmology and ORL. IIORC, Faculty of Optics and Optometry, Complutense University of Madrid, Madrid, Spain. cdmendezh@gmail.com.ORCID http://orcid.org/0000-0003-3413-5248

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe focus of therapeutic tools in glaucoma has been mainly to control of intraocular pressure. Recently there has been a growing interest in investigating the relationship of vascular risk factors in the development of glaucoma. The aim of this study was to assess the association between systemic arterial hypertension, diabetes mellitus and hypercholesterolemia, and peripapillary vascularization measured by Optical Coherence Tomography Angiography (OCTA) in glaucoma and healthy subjects.

methodsIn this unicenter, observational, cross-sectional study, 212 subjects, 118 glaucoma patients and 94 controls were consecutively recruited. Of these, 86 participants were excluded due to poor OCTA image quality. Therefore, 146 subjects were included in the final analysis, 74 glaucoma patients and 72 controls. Using a linear regression model, with 95% confidence and 80% statistical power, the effect of vascular risk factors on OCTA parameters in the 146 subjects included in the final analysis was studied.

resultsNo significant impact of vascular risk factors on OCTA measurements was found. Diabetic patients tended to show a lower peripapillary perfusion vascular density than subjects without diabetes (β 0.016, 95%CI 0.003;0.030, p 0.016). Similarly, hypercholesterolemia patients appeared to show less peripapillary flow index than non-hypercholesterolaemic patients (β 0.029, 95%CI 0.013;0.046, p 0.001). Glaucoma patients had 0.02% lower peripapillary perfusion vascular density (β 0.020, 95% CI 0.011;0.029, p < 0.001), 0.04% lower peripapillary flow index (β 0.036, 95%CI 0.022;0.051, p < 0.001) and 9.62% thinner retinal nerve fibre layer (β 9.619, 95%CI 5.495;13.744, p < 0.001).

conclusionsIn conclusion glaucoma has greater effect on peripapillary vascular density parameters than any of the vascular risk factors analyzed. KEY MESSAGES: What is known: • Vascular disfunction plays an important role in the development of glaucoma. • Optical coherence tomography angiography makes it possible to assess the retinal microvasculature and the role that its alterations could have in the development of glaucoma. WHAT IS NEW: • Decrease of the peripapillary microcirculation seems to be more related to the increase in intraocular pressure and the glaucoma itself than to the presence of cardiovascular risk factors. • The effect of having diabetes, systemic arterial hypertension or hypercholesterolaemia on vascular parameters or nerve fibre layer thickness was low. • There was also no relevant impact of the systemic medication used for these diseases on the peripapillary vascular parameters studied or on nerve fibre layer thickness.

Indexed as

Fundus OculiIntraocular PressureRetinal Ganglion CellsRetinal VesselsTomography, Optical CoherenceAgedCross-Sectional StudiesFemaleFluorescein AngiographyGlaucomaHumansMaleMiddle AgedNerve FibersOptic DiskRisk FactorsArterial hypertensionDiabetesGlaucomaHypercholesterolaemiaOptical coherence tomography angiographyPeripapillary vessel density

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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.