Literature DB >> 2747125

[Sources of error in automated static perimetry].

P A Rabineau1, J Flammer.   

Abstract

Several sources of errors in interpreting computerized visual fields (learning effect, miotic pupil, sub-optimal refraction, dirty contact lenses, inadequate patient cooperation, anatomical obstacle, and choice of the wrong program) are described with the help of examples. Their identification should result in more reliable diagnoses.

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Mesh：

Year:  1989        PMID： 2747125     DOI： 10.1055/s-2008-1046375

Source DB:  PubMed          Journal:  Klin Monbl Augenheilkd        ISSN： 0023-2165            Impact factor:   0.700


  3 in total

Review 1.  [Conventional techniques of visual field examination: part 4 Static perimetry: interpretation--perimetric indices--follow-up--perimetry in childhood].

Authors:  U Schiefer; J Pätzold; B Wabbels; F Dannheim
Journal:  Ophthalmologe       Date:  2006-03       Impact factor: 1.059

2.  Integration of single-cell datasets reveals novel transcriptomic signatures of β-cells in human type 2 diabetes.

Authors:  Emanuele Bosi; Lorella Marselli; Carmela De Luca; Mara Suleiman; Marta Tesi; Mark Ibberson; Decio L Eizirik; Miriam Cnop; Piero Marchetti
Journal:  NAR Genom Bioinform       Date:  2020-11-20

Review 3.  The discovery of the Flammer syndrome: a historical and personal perspective.

Authors:  Josef Flammer; Katarzyna Konieczka
Journal:  EPMA J       Date:  2017-05-22       Impact factor: 6.543
  3 in total

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