2020
DOI: 10.1016/j.ophtha.2020.05.017
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Re: Turnbull et al.: Methods for intraocular lens power calculation in cataract surgery after radial keratotomy (Ophthalmology. 2020;127:45-51)

Abstract: TO THE EDITOR: We read with interest the article by Turnbull et al 1 concerning intraocular lens (IOL) power calculation after radial keratotomy. We would like to congratulate the authors for their article because this is an important topic. However, we would like to make some comments on points that, in our opinion, should be clarified. First, the authors stated that they did not perform the zeroing of the mean error because of the high heterogeneity of unusual subsets, such as post-radial keratotomy eyes. Mo… Show more

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Cited by 11 publications
(10 citation statements)
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“…Fifth, the present research includes some subjects with both eyes. The inter-eye correlation could affect the statistical significance when bilateral eyes are included in the same group ( Hoffer et al, 2015 ; De Bernardo et al, 2020 ). Random choice of eyes in a single subject should be adopted in future studies.…”
Section: Discussionmentioning
confidence: 99%
“…Fifth, the present research includes some subjects with both eyes. The inter-eye correlation could affect the statistical significance when bilateral eyes are included in the same group ( Hoffer et al, 2015 ; De Bernardo et al, 2020 ). Random choice of eyes in a single subject should be adopted in future studies.…”
Section: Discussionmentioning
confidence: 99%
“…To be able to cure blepharitis before anterior segment ocular surgery, such as cataract extraction [8,9] or refractive surgery [10][11][12][13], could be very important [14,15], primarily to lower the chance of endophthalmitis.…”
Section: Introductionmentioning
confidence: 99%
“…We applaud the adoption of the generalized estimating equation to account correlations between both eyes of the same patient, which is mandatory in this scenario. 4 On the other hand, we wonder why the authors chose the mean absolute error (MAE) instead of the median absolute error (MedAE). The MedAE is less affected by outliers than the MAE, and the distribution of the absolute PE is not Gaussian, as reported by the same authors, and it is described better by the MedAE than by the MAE.…”
mentioning
confidence: 99%