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Baseline Fourier-Domain Optical Coherence Tomography Structural Risk Factors for Visual Field Progression in the Advanced Imaging for Glaucoma Study

Overview of attention for article published in American Journal of Ophthalmology, September 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

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Article details
Title
Baseline Fourier-Domain Optical Coherence Tomography Structural Risk Factors for Visual Field Progression in the Advanced Imaging for Glaucoma Study
Published in
American Journal of Ophthalmology, September 2016
DOI 10.1016/j.ajo.2016.09.015
Pubmed ID
Authors
Abstract

To identify baseline structural parameters that predict the progression of visual field (VF) loss in patients with open angle glaucoma. Multicenter cohort study. Participants from Advanced Imaging for Glaucoma (AIG) study were enrolled and followed-up. VF progression is defined as either a confirmed progression event on Humphrey Progression Analysis or a significant (p<0.05) negative slope for VF index (VFI). Fourier-domain optical coherence tomography (FD-OCT) was used to measure optic disc, peripapillary retinal nerve fiber layer (NFL) and macular ganglion cell complex (GCC) thickness parameters. 277 eyes of 188 participants were followed up for 3.7 ± 2.1 years. VF progression was observed in 83 eyes (30%). Several baseline NFL and GCC parameters, but not disc parameters, were found to be significant predictors of progression on univariate Cox regression analysis. The most accurate single predictors were the GCC focal loss volume (FLV), followed closely by NFL-GCC. An abnormal GCC-FLV at baseline increased risk of progression by a hazard ratio of 3.1. Multivariate Cox analysis showed that combining age and central corneal thickness with GCC-FLV in a composite index called "Glaucoma Composite Progression Index" (GCPI) further improved the accuracy of progression prediction. GCC-FLV and GCPI were both found to be significantly correlated with the annual rate of change in VFI. Focal GCC and NFL loss as measured by FD-OCT are the strongest predictors for VF progression among the measurements considered. Older age and thinner central corneal thickness can enhance the predictive power using the composite risk model.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 5 11%
Student > Master 5 11%
Student > Doctoral Student 4 9%
Professor 4 9%
Researcher 4 9%
Other 9 19%
Unknown 16 34%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 20 43%
Nursing and Health Professions 5 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Engineering 2 4%
Environmental Science 1 2%
Other 1 2%
Unknown 16 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 April 2021.
All research outputs
#3,138,740
of 25,374,917 outputs
Outputs from American Journal of Ophthalmology
#365
of 6,477 outputs
Outputs of similar age
#50,250
of 328,747 outputs
Outputs of similar age from American Journal of Ophthalmology
#9
of 88 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,477 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 328,747 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.