Literature DB >> 6698739

Classification of human senile cataractous change by the American Cooperative Cataract Research Group (CCRG) method: II. Staged simplification of cataract classification.

L T Chylack, O White, W H Tung.   

Abstract

One thousand nine hundred and seventy-six cataracts extracted intracapsularly were classified according to the system adopted by the Cooperative Cataract Research Group (CCRG) Consortium. A nine-stage protocol for simplifying the classification data is presented. The method of simplifying the basic CCRG classification emphasizes anatomic similarities among lenses. Simplification is indicated when small numbers of cataracts in any class provide insufficient statistical power to allow detection of scientifically or clinically important differences in rates between comparison groups, if such differences exist; however, simplification unavoidably obscures the anatomic, biochemical, and biophysical features of individual cataracts. Age-specific characteristics of this population of 1976 cataracts are used to demonstrate the effects of the simplification process. The preponderance of mixed cataracts and the relative scarcity of pure cataracts are documented, and the implications of these numbers for cataract research are presented.

Entities:  

Mesh:

Year:  1984        PMID: 6698739

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  4 in total

Review 1.  Methods for evaluation of lens changes.

Authors:  N A Brown; A J Bron; J M Sparrow
Journal:  Int Ophthalmol       Date:  1988       Impact factor: 2.031

2.  Allopurinol use and the risk of cataract formation.

Authors:  W K Clair; L T Chylack; E F Cook; L Goldman
Journal:  Br J Ophthalmol       Date:  1989-03       Impact factor: 4.638

3.  The Oxford Clinical Cataract Classification and Grading System.

Authors:  J M Sparrow; A J Bron; N A Brown; W Ayliffe; A R Hill
Journal:  Int Ophthalmol       Date:  1986-12       Impact factor: 2.031

Review 4.  Promise and challenge: the lens model as a biomarker for early diagnosis of Alzheimer's disease.

Authors:  Tian Tian; Boai Zhang; Yanjie Jia; Zhaoming Li
Journal:  Dis Markers       Date:  2014-02-12       Impact factor: 3.434

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.