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Ectasia risk factors in refractive surgery

Overview of attention for article published in Clinical Ophthalmology, April 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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Citations

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101 Mendeley
Title
Ectasia risk factors in refractive surgery
Published in
Clinical Ophthalmology, April 2016
DOI 10.2147/opth.s51313
Pubmed ID
Authors

Marcony R Santhiago, Natalia T Giacomin, David Smadja, Samir J Bechara

Abstract

This review outlines risk factors of post-laser in situ keratomileusis (LASIK) ectasia that can be detected preoperatively and presents a new metric to be considered in the detection of ectasia risk. Relevant factors in refractive surgery screening include the analysis of intrinsic biomechanical properties (information obtained from corneal topography/tomography and patient's age), as well as the analysis of alterable biomechanical properties (information obtained from the amount of tissue altered by surgery and the remaining load-bearing tissue). Corneal topography patterns of placido disk seem to play a pivotal role as a surrogate of corneal strength, and abnormal corneal topography remains to be the most important identifiable risk factor for ectasia. Information derived from tomography, such as pachymetric and epithelial maps as well as computational strategies, to help in the detection of keratoconus is additional and relevant. High percentage of tissue altered (PTA) is the most robust risk factor for ectasia after LASIK in patients with normal preoperative corneal topography. Compared to specific residual stromal bed (RSB) or central corneal thickness values, percentage of tissue altered likely provides a more individualized measure of biomechanical alteration because it considers the relationship between thickness, tissue altered through ablation and flap creation, and ultimate RSB thickness. Other recognized risk factors include low RSB, thin cornea, and high myopia. Age is also a very important risk factor and still remains as one of the most overlooked ones. A comprehensive screening approach with the Ectasia Risk Score System, which evaluates multiple risk factors simultaneously, is also a helpful tool in the screening strategy.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
India 1 <1%
Unknown 99 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 14%
Researcher 11 11%
Other 10 10%
Student > Ph. D. Student 9 9%
Student > Bachelor 8 8%
Other 22 22%
Unknown 27 27%
Readers by discipline Count As %
Medicine and Dentistry 47 47%
Nursing and Health Professions 5 5%
Engineering 3 3%
Agricultural and Biological Sciences 2 2%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 6 6%
Unknown 36 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 29 May 2016.
All research outputs
#7,923,670
of 25,576,275 outputs
Outputs from Clinical Ophthalmology
#702
of 3,757 outputs
Outputs of similar age
#104,853
of 315,173 outputs
Outputs of similar age from Clinical Ophthalmology
#24
of 81 outputs
Altmetric has tracked 25,576,275 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 3,757 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 81% 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 315,173 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.