Evidence map›Paper›PMID 27092928›Full record

ArticleOptometry and vision science : official publication of the American Academy of Optometry2016

Predicting Accommodative Response Using Paraxial Schematic Eye Models.

Viswanathan Ramasubramanian, Adrian Glasser

Abstract read
In one paragraph

Article in Optometry and vision science : official publication of the American Academy of Optometry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Biomedical optics express · 2020
    Article
  5. Article
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

2 authors.

Viswanathan Ramasubramanian*PhD The College of Optometry, University of Houston, Houston, Texas (all authors).
Adrian Glasser

Funding

Research Programming ModuleP30EY007551 · NEI · UNIVERSITY OF HOUSTON · PI VALLABH E DAS · 1988 to 2026
$16.4M
Clinical Accommodation MeasurementR01EY017076 · NEI · UNIVERSITY OF HOUSTON · PI GLASSER, ADRIAN · 2008 to 2010
$1.0M
NEI NIH HHS P30 EY007551NEI NIH HHS R01 EY017076
6 · The paper itself

Abstract

purposePrevious ultrasound biomicroscopy (UBM) studies showed that accommodative optical response (AOR) can be predicted from accommodative biometric changes in a young and a pre-presbyopic population from linear relationships between accommodative optical and biometric changes, with a standard deviation of less than 0.55D. Here, paraxial schematic eyes (SE) were constructed from measured accommodative ocular biometry parameters to see if predictions are improved.

methodsMeasured ocular biometry (OCT, A-scan, and UBM) parameters from 24 young and 24 pre-presbyopic subjects were used to construct paraxial SEs for each individual subject (individual SEs) for three different lens equivalent refractive index methods. Refraction and AOR calculated from the individual SEs were compared with Grand Seiko (GS) autorefractor measured refraction and AOR. Refraction and AOR were also calculated from individual SEs constructed using the average population accommodative change in UBM measured parameters (average SEs).

resultsSchematic eye calculated and GS measured AOR were linearly related (young subjects: slope = 0.77, r = 0.86; pre-presbyopic subjects: slope = 0.64, r = 0.55). The mean difference in AOR (GS - individual SEs) for the young subjects was -0.27D and for the pre-presbyopic subjects was 0.33D. For individual SEs, the mean ± SD of the absolute differences in AOR between the GS and SEs was 0.50 ± 0.39D for the young subjects and 0.50 ± 0.37D for the pre-presbyopic subjects. For average SEs, the mean ± SD of the absolute differences in AOR between the GS and the SEs was 0.77 ± 0.88D for the young subjects and 0.51 ± 0.49D for the pre-presbyopic subjects.

conclusionsIndividual paraxial SEs predict AOR, on average, with a standard deviation of 0.50D in young and pre-presbyopic subject populations. Although this prediction is only marginally better than from individual linear regressions, it does consider all the ocular biometric parameters.

Indexed as

EyeModels, TheoreticalVision TestsAccommodation, OcularAdultAxial Length, EyeBiometryFemaleHumansLens, CrystallineMaleMicroscopy, AcousticMiddle AgedPresbyopiaRefraction, OcularVisual Acuity

Identifiers

PMID27092928
PMCPMC4916040

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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.